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Zheng Y, Chen R, Yue C, Zhang Y, Guo S, Wang Y, Bai Z, Cai W, Hui T, Sun J, Zhang X, Wang Z. CeRNA regulates network and expression and SNP effect on NFKBIA of cashmere fineness. Anim Biotechnol 2023; 34:2863-2874. [PMID: 36165594 DOI: 10.1080/10495398.2022.2124165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
In this study, a total of 1140 Liaoning Cashmere Goats (LCG) were genotyped for single nucleotide polymorphism (SNP) of NFKBIA gene. There are 15 SNPs and 7 genotypes have been found, and G1547A (GG) genotype has been associated with cashmere fineness and cashmere yield. An integrated ceRNA regulatory network of NFKBIA gene was made. To prove NFKBIA and these non-coding RNAs (ncRNAs) may be related to cashmere fineness, we performed qPCR on these ncRNA in LCG coarse type skin (CT-LCG) and LCG fine type skin (FT-LCG). The result of qPCR showed lncRNA XLOC_011060 and ciRNA452 are at high expression level in CT-LCG, all miRNAs appear high expressed in FT-LCG, and mir-93 was the most significant difference between CT-LCG and FT-LCG. In addition, five miRNAs were selected for qPCR in different genotypes. The qPCR results showed that mir-93 might negatively regulate cashmere fineness and mir-17-5p may play a positive role in regulating cashmere fineness of individuals with G1355A (AG) genotype. These results demonstrated that NFKBIA gene is associated with cashmere fineness of LCG and G1547A (GG) genotype is the preferred marker genotype for cashmere fineness.
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Affiliation(s)
- Yuanyuan Zheng
- College of Animal Science &Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Rui Chen
- College of Animal Science &Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Chang Yue
- College of Animal Science &Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yingchun Zhang
- Wenhua Road Primary School, Shenhe District, Shenyang, China
| | - Suping Guo
- College of Animal Science &Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yanru Wang
- College of Animal Science &Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Zhixian Bai
- College of Animal Science &Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Weidong Cai
- College of Animal Science &Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Taiyu Hui
- College of Animal Science &Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Jiaming Sun
- College of Animal Science &Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Xinjiang Zhang
- College of Animal Science &Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Zeying Wang
- College of Animal Science &Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
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Bai Z, Wu Y, Cai W, Zheng Y, Hui T, Yue C, Sun J, Wang Y, Wang Z. High-throughput analysis of lncRNA in cows with naturally infected Staphylococcus aureus mammary gland. Anim Biotechnol 2023; 34:2166-2174. [PMID: 35649423 DOI: 10.1080/10495398.2022.2077744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
LncRNA (long non-coding RNA) is an RNA molecule with a length between 200 and 100,000 nt. It does not encode proteins and is involved in a variety of intracellular processes, becoming a research hotspot of genetics. To identify key lncRNAs associated with dairy mastitis, we collected mammary epithelial tissue samples of Normal disease-free Holstein cows (HCN) and unhealthy Holstein cows with Staphylococcus aureus (HCU) and performed RNA sequencing (RNA-seq) on the samples. A total of 270 differentially expressed lncRNAs and 500 differentially expressed mRNAs were identified by high-throughput sequencing and bioinformatics analysis. Furthermore, Hydrolase activity is the most enriched in GO, and ErbB signaling pathway is significantly enriched in KEGG. In addition, through qPCR validation of 5 candidate lncRNAs in HCN and HCU, four differentially expressed lncRNAs MSTRG.498, MSTRG57.1, MSTRG.41.1 and MSTRG 124.1 were confirmed to have significant differentially expressed in cow mastitis. Also, lncRNA MSTRG.498 and its target gene, SMC4, might directly or indirectly play a role in cow mastitis. The regulatory network of lncRNA-miRNA-mRNA has been inferred from a bioinformatics perspective, which may assist understand the underlying molecular mechanism of lncRNAs involved in regulating mastitis in cows. Our findings will provide meaningful resources for further research on the regulatory function of lncRNAs in cow mastitis.
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Affiliation(s)
- Zhixian Bai
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yanzhi Wu
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Weidong Cai
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yuanyuan Zheng
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Taiyu Hui
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Chang Yue
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Jiaming Sun
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yanru Wang
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Zeying Wang
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
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3
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Qiao Y, Gu M, Zhang Y, Bai Z, Qin Y, Xu Y, Dou X, Han D, Lin G, Wang L, Wang Z, Wang J, Sun Y, Wu Y, Chen R, Zhang Q, Li Q, Wang X, Xu Z, Cong Y, Chen J, Wang Z. Association analysis for SNPs of LIPE and ITGB4 genes with cashmere production performance, body measurement traits and milk production traits in Liaoning cashmere goats. Anim Biotechnol 2023; 34:3827-3836. [PMID: 37428531 DOI: 10.1080/10495398.2023.2230484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/11/2023]
Abstract
Liaoning cashmere goat (LCG) is one of the excellent cashmere goat breeds in China. Because of its larger size, better cashmere, and better cashmere production performance, people pay special attention to it. This article mainly studied the relationship between SNP loci of LIPE gene and ITGB4 gene and milk production, cashmere production and body measurement traits of LCGs. We further identified potential SNP loci by PCR-Seq polymorphism detection and gene sequence comparison of LIPE and ITGB4 genes. Further, we use SPSS and SHEsis software to analyze their relationship to production performance. The consequence indicated that CC genotype of LIPE gene T16409C locus was dominant genotype in milk production and cashmere production, while CT genotype of LIPE gene T16409C locus was dominant in body size. The CT genotype of C168T locus of ITGB4 gene is the dominant genotype of body type and cashmere production, while the dominant genotype of milk production is TT genotype. Through joint analysis, in haploid combinations, H1H2:CCCT is the dominant haplotype combination in cashmere fineness. H3H4:TTCT is a dominant haplotype combination of milk production traits and body measurement traits. These dominant genotypes can provide a reliable basis for the study of production performance of LCG.
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Affiliation(s)
- Yanjun Qiao
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Ming Gu
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yu Zhang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Zhixian Bai
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yuting Qin
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yanan Xu
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Xingtang Dou
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Liaoyang, China
| | - Di Han
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Liaoyang, China
| | - Guangyu Lin
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Liaoyang, China
| | - Lingling Wang
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Liaoyang, China
| | - Zhanhong Wang
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Liaoyang, China
| | - Jiaming Wang
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Liaoyang, China
| | - Yinggang Sun
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yanzhi Wu
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Rui Chen
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Qiu Zhang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Qian Li
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Xiaowei Wang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Zhiguo Xu
- Dalian Modern Agricultural Production Development Service Center, Dalian, China
| | - Yuyan Cong
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Jing Chen
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Zeying Wang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
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Chen R, Liu J, Zhang Y, Cai W, Zhang X, Xu Y, Dou X, Wang Z, Han D, Wang J, Lin G, Wang L, Sun Y, Bai Z, Gu M, Wang Z. Association analysis between reproduction genes INHA, PGR, RARG with lamb and other traits of Liaoning cashmere goats. Anim Biotechnol 2023; 34:2094-2105. [PMID: 35622393 DOI: 10.1080/10495398.2022.2077212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
Reproductive traits have a high economic value in goat breeding, and increasing the number of lambs produced by ewes is of great importance to improve the production efficiency of goat farming. Lambing traits in goats are low heritability traits, but their genetic basis is ultimately determined by genes. This study aimed to investigate the relationship between INHA, RARG, and PGR gene polymorphisms and production performance, such as lambing, cashmere production, milk production, and body size in Liaoning cashmere goats. A total of six single nucleotide polymorphisms (SNPs) loci were identified in these three genes, G144A and T504C on the INHA gene, A56G, G144A, G490C on the RARG gene, and G109519T on the PGR gene. For lambing and cashmere production traits, the AA genotype of G144A on the INHA gene, TT on the T504C genotype, GG genotype of G144A on the INHA gene, A56G, G144A, and T504C on RARG and G109519T on PGR gene are dominant genotypes. AATT is a dominant haplotype combination. Allele G can be used as a molecular marker for lambing, cashmere, and milk production traits in Liaoning cashmere goats. Marker-assisted selection can be used for early selection to achieve improvement of genetic traits in Liaoning cashmere goats.
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Affiliation(s)
- Rui Chen
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Jichang Liu
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yurou Zhang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Weidong Cai
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Xinjiang Zhang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yanan Xu
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Xingtang Dou
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Shenyang, China
| | - Zhanhong Wang
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Shenyang, China
| | - Di Han
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Shenyang, China
| | - Jiaming Wang
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Shenyang, China
| | - Guangyu Lin
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Shenyang, China
| | - Lingling Wang
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Shenyang, China
| | - Yinggang Sun
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Zhixian Bai
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Ming Gu
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Zeying Wang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
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Bai Z, Wu Y, Cai W, Zheng Y, Hui T, Yue C, Sun J, Wang Y, Xu Z, Wang Z. High-throughput analysis of CircRNA in cows with naturally infected Staphylococcus aureus mammary gland. Anim Biotechnol 2023; 34:4236-4246. [PMID: 36576137 DOI: 10.1080/10495398.2022.2140056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Circular RNAs (CircRNA) are a special type of non-coding RNA molecule with a closed ring structure and are not affected by RNA exonucases. It has stable expression, is not easy to degrade, and exists in most eukaryotes. However, circRNA regulation of cow mastitis has not been widely recognized. Mammary epithelial tissues were collected from healthy Holstein cows (HCN) and mastitis Holstein cows (HCU). RNA sequencing (RNA SEQ) was performed for the differentially expressed circRNAs, and analysis results showed that 19 differentially expressed circRNAs were identified in HCN and HCU, among which 6 circRNAs were up-regulated and 13 circRNAs were down-regulated. We randomly selected nine circRNAs for Q-PCR verification, and the results showed consistent expression. Three circRNAs: circRNA2860, circRNA5323 and circRNA4027 were confirmed to be significantly differentially expressed circRNAs in cow mastitis. Also, their host genes TRPS1, SLC12A2 and MYH11 might be directly or indirectly play a role in cow mastitis. Furthermore, RNA polymerase transcription factor binding and tight junction are most enriched in GO and KEGG pathways, respectively. In addition, the regulatory network of circRNA-miRNA has been inferred from a bioinformatics perspective, which may help to understand the underlying molecular mechanism of circRNAs involved in regulating mastitis in cows.
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Affiliation(s)
- Zhixian Bai
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yanzhi Wu
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Weidong Cai
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yuanyuan Zheng
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Taiyu Hui
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Chang Yue
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Jiaming Sun
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yanru Wang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Zhiguo Xu
- Dalian Modern Agricultural Production Development Service Center, Dalian, China
| | - Zeying Wang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
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Cai W, Xu Y, Bai Z, Lin G, Wang L, Dou X, Han D, Wang Z, Wang J, Zhang X, Zhang Y, Qin Y, Gu M, Sun Y, Wu Y, Chen R, Wang Z. Association analysis for SNPs of BAAT and COL1A1 genes with cashmere production performance and other production traits in Liaoning cashmere goats. Anim Biotechnol 2023; 34:2324-2335. [PMID: 35749728 DOI: 10.1080/10495398.2022.2088550] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Abstract
This study aimed to investigate the relationship between the polymorphism of bile acid-CoA: amino acid N-acyltransferase (BAAT) and collagen type I alpha 1 chain (COL1A1) genes and the production performance of Liaoning Cashmere goat (LCG). The potential single nucleotide polymorphisms (SNPs) of LCG were detected by sequence comparison of BAAT and COL1A1 genes and PCR-Seq polymorphism, and the effect of SNPs on production performance was analyzed by SPSS software. The results showed that three SNPs loci were detected in BAAT gene: G7900A, T7967C, C7998T, and one SNP locus T6716C was detected in COL1AL gene. At G7900A locus, the dominant genotype for cashmere performance was GG, and the dominant genotype for body measurement traits and milk production traits was AG. At T7967C locus, the dominant genotype for cashmere performance was TT, and the dominant genotype for body measurement traits and milk production traits was CC. At C7998T locus, TT was the dominant genotype for cashmere performance, body measurement traits, and milk production traits. At the T6716C locus, TT was the dominant genotype for cashmere performance, body measurement traits, and milk production traits. H1H1: AACC is the dominant haplotype combination. Therefore, this study will provide a reliable reference for future research on cashmere production performance, body measurement traits, and milk production traits of LCG.
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Affiliation(s)
- Weidong Cai
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yanan Xu
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Zhixian Bai
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Guangyu Lin
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Shenyang, China
| | - Lingling Wang
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Shenyang, China
| | - Xingtang Dou
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Shenyang, China
| | - Di Han
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Shenyang, China
| | - Zhanhong Wang
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Shenyang, China
| | - Jiaming Wang
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Shenyang, China
| | - Xinjiang Zhang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yu Zhang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yuting Qin
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Ming Gu
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yinggang Sun
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yanzhi Wu
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Rui Chen
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Zeying Wang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
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Sun Y, Cai W, Zhang X, Hui T, Xu Y, Han D, Dou X, Wang Z, Wang J, Lin G, Wang L, Hao J, Fu S, Wu Y, Chen R, Qin Y, Zhang Y, Gu M, Bai Z, Wang Z. Association analysis for SNPs of MSTN and IGFBP-3 genes with body size and other production traits in Liaoning Cashmere Goats. Anim Biotechnol 2023; 34:1796-1806. [PMID: 35507891 DOI: 10.1080/10495398.2022.2051043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
Liaoning cashmere goat (LCG) have tall bones, high cashmere production and outstanding meat production performance. In recent years, good breeding progress has not been made in terms of body size, meat yield, milk yield and other properties in terms of production. The study focused on the correlation between the SNPs of MSTN and IGFBP-3 genes with the body size performance, cashmere production and milk performance. The MSTN and IGFBP-3 gene sequence alignment and PCR-Seq polymorphism were used to detect the potential SNPs, and the correlation with production performance was analyzed by SPSS and SHEsis software. The results showed that the TT genotype at the T1662G locus of the MSTN gene is dominant and has significant advantages in body measurements such as sacrum height, chest width, and waist height. The C allele at the C4021T locus of IGFBP-3 gene shows an advantage in the body measurement performance. Among the haplotype combinations, H2H2:TGTC is preponderant combination for body size performance, H2H2:TGTC and H1H2:TGCC are preponderant combinations for cashmere production performance, H1H3:GGCC is preponderant combination for milk production performance. It may be a molecular marker for future selection and breeding.
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Affiliation(s)
- Yinggang Sun
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Weidong Cai
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Xinjiang Zhang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Taiyu Hui
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yanan Xu
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Di Han
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Shenyang, China
| | - Xingtang Dou
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Shenyang, China
| | - Zhanhong Wang
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Shenyang, China
| | - Jiaming Wang
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Shenyang, China
| | - Guangyu Lin
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Shenyang, China
| | - Lingling Wang
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Shenyang, China
| | - Jianjun Hao
- Administration Bureau of Zhungeer Banner, Erdos City, China
| | - Shuqing Fu
- Lantian Sub-district Office, Zhungeer Banner, Ordos City, China
| | - Yanzhi Wu
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Rui Chen
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yuting Qin
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yu Zhang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Ming Gu
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Zhixian Bai
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Zeying Wang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
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8
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Wang Q, Liu M, Liu Y, Zhang Z, Bai Z. Cigarette Smoke Extract and Lipopolysaccharide Induce Pyroptosis in Pulmonary Microvascular Endothelial Cells of Rats. Bull Exp Biol Med 2023; 174:728-733. [PMID: 37170021 DOI: 10.1007/s10517-023-05780-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Indexed: 05/13/2023]
Abstract
We studied the effect of cigarette smoke extract (CSE), LPS, or their combination on the activity and pyroptosis of pulmonary microvascular endothelial cells (PMVEC) in rats. PMVEC were cultured without treatment, with CSE in different concentrations (1-25%), with 20 ng/ml LPS, or with 20% CSE+20 ng/ml LPS. Cell viability was determined using the CCK8 kit, apoptosis was evaluated by flow cytometry, and cell morphology was evaluated using light microscopy. The content of IL-1β and IL-18 was measured by ELISA. CSE decreased cell viability in a dose-dependent manner. The morphology of cells in the CSE+LPS group showed the most significant cytomorphological changes and the highest pyroptosis rate. Flow cytometry showed that the apoptosis rates in the CSE and LPS groups were higher than in the control group, but the highest rate of apoptosis was revealed in the CSE+LPS group (p<0.01). The levels of IL-18 and IL-1β in the cell supernatant of the CSE, LPS, and CSE+LPS groups were significantly (p<0.01) increased in comparison with the control. These levels in the CSE+LPS group were higher (p<0.01) than in other groups. There were no differences between the CSE and LPS groups. Thus, the effect of CSE on cell viability is dose-dependent. Combined treatment with CSE+LPS can induce cell pyroptosis and increase the levels of inflammatory cytokines in PMVEC. These observations demonstrated that pyroptosis caused by CSE and LPS can play an important role in pulmonary vascular remodeling.
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Affiliation(s)
- Q Wang
- Department of Graduate School, Hunan University of Chinese Medicine, Changsha, China
| | - M Liu
- Department of Respiratory Medicine, the Affiliated Hospital of Hunan Academy of Chinese Medicine, Changsha, China
| | - Y Liu
- Department of Respiratory Medicine, the Affiliated Hospital of Hunan Academy of Chinese Medicine, Changsha, China
| | - Z Zhang
- Department of Graduate School, Hunan University of Chinese Medicine, Changsha, China
| | - Z Bai
- Department of Respiratory Medicine, the Affiliated Hospital of Hunan Academy of Chinese Medicine, Changsha, China.
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9
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Liu JJ, Xu XX, Sun LJ, Yuan CX, Kaneko K, Sun Y, Liang PF, Wu HY, Shi GZ, Lin CJ, Lee J, Wang SM, Qi C, Li JG, Li HH, Xayavong L, Li ZH, Li PJ, Yang YY, Jian H, Gao YF, Fan R, Zha SX, Dai FC, Zhu HF, Li JH, Chang ZF, Qin SL, Zhang ZZ, Cai BS, Chen RF, Wang JS, Wang DX, Wang K, Duan FF, Lam YH, Ma P, Gao ZH, Hu Q, Bai Z, Ma JB, Wang JG, Wu CG, Luo DW, Jiang Y, Liu Y, Hou DS, Li R, Ma NR, Ma WH, Yu GM, Patel D, Jin SY, Wang YF, Yu YC, Hu LY, Wang X, Zang HL, Wang KL, Ding B, Zhao QQ, Yang L, Wen PW, Yang F, Jia HM, Zhang GL, Pan M, Wang XY, Sun HH, Xu HS, Zhou XH, Zhang YH, Hu ZG, Wang M, Liu ML, Ong HJ, Yang WQ. Observation of a Strongly Isospin-Mixed Doublet in ^{26}Si via β-Delayed Two-Proton Decay of ^{26}P. Phys Rev Lett 2022; 129:242502. [PMID: 36563237 DOI: 10.1103/physrevlett.129.242502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Revised: 10/10/2022] [Accepted: 11/03/2022] [Indexed: 06/17/2023]
Abstract
β decay of proton-rich nuclei plays an important role in exploring isospin mixing. The β decay of ^{26}P at the proton drip line is studied using double-sided silicon strip detectors operating in conjunction with high-purity germanium detectors. The T=2 isobaric analog state (IAS) at 13 055 keV and two new high-lying states at 13 380 and 11 912 keV in ^{26}Si are unambiguously identified through β-delayed two-proton emission (β2p). Angular correlations of two protons emitted from ^{26}Si excited states populated by ^{26}P β decay are measured, which suggests that the two protons are emitted mainly sequentially. We report the first observation of a strongly isospin-mixed doublet that deexcites mainly via two-proton decay. The isospin mixing matrix element between the ^{26}Si IAS and the nearby 13 380-keV state is determined to be 130(21) keV, and this result represents the strongest mixing, highest excitation energy, and largest level spacing of a doublet ever observed in β-decay experiments.
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Affiliation(s)
- J J Liu
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - X X Xu
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- Department of Physics, The University of Hong Kong, Hong Kong, China
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou 516003, China
| | - L J Sun
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai 200240, China
- National Superconducting Cyclotron Laboratory, Michigan State University, East Lansing, Michigan 48824, USA
| | - C X Yuan
- Sino-French Institute of Nuclear Engineering and Technology, Sun Yat-Sen University, Zhuhai 519082, China
| | - K Kaneko
- Department of Physics, Kyushu Sangyo University, Fukuoka 813-8503, Japan
| | - Y Sun
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413, China
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai 200240, China
| | - P F Liang
- Department of Physics, The University of Hong Kong, Hong Kong, China
| | - H Y Wu
- State Key Laboratory of Nuclear Physics and Technology, School of Physics, Peking University, Beijing 100871, China
| | - G Z Shi
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - C J Lin
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413, China
- College of Physics and Technology & Guangxi Key Laboratory of Nuclear Physics and Technology, Guangxi Normal University, Guilin 541004, China
| | - J Lee
- Department of Physics, The University of Hong Kong, Hong Kong, China
| | - S M Wang
- Key Laboratory of Nuclear Physics and Ion-beam Application (MOE), Institute of Modern Physics, Fudan University, Shanghai 200433, China
- Shanghai Research Center for Theoretical Nuclear Physics, NSFC and Fudan University, Shanghai 200438, China
| | - C Qi
- KTH Royal Institute of Technology, SE-100 44, Stockholm, Sweden
| | - J G Li
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - H H Li
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Latsamy Xayavong
- Department of Physics, Faculty of Natural Sciences, National University of Laos, Vientiane 01080, Laos
| | - Z H Li
- State Key Laboratory of Nuclear Physics and Technology, School of Physics, Peking University, Beijing 100871, China
| | - P J Li
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Y Y Yang
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - H Jian
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Y F Gao
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - R Fan
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - S X Zha
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - F C Dai
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - H F Zhu
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - J H Li
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Z F Chang
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - S L Qin
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Z Z Zhang
- Sino-French Institute of Nuclear Engineering and Technology, Sun Yat-Sen University, Zhuhai 519082, China
| | - B S Cai
- Sino-French Institute of Nuclear Engineering and Technology, Sun Yat-Sen University, Zhuhai 519082, China
| | - R F Chen
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - J S Wang
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- College of Science, Huzhou University, Huzhou 313000, China
| | - D X Wang
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413, China
| | - K Wang
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - F F Duan
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, Lanzhou University, Lanzhou 730000, China
| | - Y H Lam
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - P Ma
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Z H Gao
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, Lanzhou University, Lanzhou 730000, China
| | - Q Hu
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Z Bai
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - J B Ma
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - J G Wang
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - C G Wu
- State Key Laboratory of Nuclear Physics and Technology, School of Physics, Peking University, Beijing 100871, China
| | - D W Luo
- State Key Laboratory of Nuclear Physics and Technology, School of Physics, Peking University, Beijing 100871, China
| | - Y Jiang
- State Key Laboratory of Nuclear Physics and Technology, School of Physics, Peking University, Beijing 100871, China
| | - Y Liu
- State Key Laboratory of Nuclear Physics and Technology, School of Physics, Peking University, Beijing 100871, China
| | - D S Hou
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - R Li
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - N R Ma
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413, China
| | - W H Ma
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- Key Laboratory of Nuclear Physics and Ion-beam Application (MOE), Institute of Modern Physics, Fudan University, Shanghai 200433, China
| | - G M Yu
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- Fundamental Science on Nuclear Safety and Simulation Technology Laboratory, Harbin Engineering University, Harbin 150001, China
| | - D Patel
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- Department of Physics, Sardar Vallabhbhai National Institute of Technology, Surat 395007, India
| | - S Y Jin
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Y F Wang
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Physics and Astronomy, Yunnan University, Kunming 650091, China
| | - Y C Yu
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Physics and Astronomy, Yunnan University, Kunming 650091, China
| | - L Y Hu
- Fundamental Science on Nuclear Safety and Simulation Technology Laboratory, Harbin Engineering University, Harbin 150001, China
| | - X Wang
- State Key Laboratory of Nuclear Physics and Technology, School of Physics, Peking University, Beijing 100871, China
| | - H L Zang
- State Key Laboratory of Nuclear Physics and Technology, School of Physics, Peking University, Beijing 100871, China
| | - K L Wang
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - B Ding
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Q Q Zhao
- Department of Physics, The University of Hong Kong, Hong Kong, China
| | - L Yang
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413, China
| | - P W Wen
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413, China
| | - F Yang
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413, China
| | - H M Jia
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413, China
| | - G L Zhang
- School of Physics, Beihang University, Beijing 100191, China
| | - M Pan
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413, China
- School of Physics, Beihang University, Beijing 100191, China
| | - X Y Wang
- School of Physics, Beihang University, Beijing 100191, China
| | - H H Sun
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413, China
| | - H S Xu
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou 516003, China
| | - X H Zhou
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou 516003, China
| | - Y H Zhang
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou 516003, China
| | - Z G Hu
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou 516003, China
| | - M Wang
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou 516003, China
| | - M L Liu
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - H J Ong
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- RCNP, Osaka University, Osaka 567-0047, Japan
| | - W Q Yang
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
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10
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Yang Z, Gao J, Zhang X, Wu G, Deng W, Liu Y, Zhang J, Chen G, Xu R, Han J, Li A, Liu G, Sun Y, Kong D, Bai Z, Yao H, Zhang Z. 47P Safety and efficacy evaluation of long-course neoadjuvant chemoradiotherapy plus tislelizumab followed by total mesorectal excision for locally advanced rectal cancer: Intermediate results of a multicenter, phase II study. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.10.079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
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11
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Xu Y, Cai W, Chen R, Zhang X, Bai Z, Zhang Y, Qin Y, Gu M, Sun Y, Wu Y, Wang Z. Metabolomic Analysis and MRM Verification of Coarse and Fine Skin Tissues of Liaoning Cashmere Goat. Molecules 2022; 27:molecules27175483. [PMID: 36080249 PMCID: PMC9457707 DOI: 10.3390/molecules27175483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Revised: 08/17/2022] [Accepted: 08/25/2022] [Indexed: 11/16/2022] Open
Abstract
One of the critical elements in evaluating the quality of cashmere is its fineness, but we still know little about how it is regulated at the metabolic level. In this paper, we use UHPLC–MS/MS detection and analysis technology to compare the difference in metabolites between coarse cashmere (CT_LCG) and fine cashmere (FT_LCG) skin of Liaoning cashmere goats. According to the data, under positive mode four metabolites were significantly up-regulated and seven were significantly down-regulated. In negative mode, seven metabolites were significantly up-regulated and fourteen metabolites were significantly down-regulated. The two groups’ most significant metabolites, Gly–Phe and taurochenodeoxycholate, may be crucial in controlling cashmere’s growth, development, and fineness. In addition, we enriched six KEGG pathways, of which cholesterol metabolism, primary bile acid biosynthesis, and bile secretion were enriched in positive and negative modes. These findings offer a new research idea for further study into the critical elements influencing cashmere’s fineness.
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12
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Guo S, Ding B, Zhou XH, Wu YB, Wang JG, Xu SW, Fang YD, Petrache CM, Lawrie EA, Qiang YH, Yang YY, Ong HJ, Ma JB, Chen JL, Fang F, Yu YH, Lv BF, Zeng FF, Zeng QB, Huang H, Jia ZH, Jia CX, Liang W, Li Y, Huang NW, Liu LJ, Zheng Y, Zhang WQ, Rohilla A, Bai Z, Jin SL, Wang K, Duan FF, Yang G, Li JH, Xu JH, Li GS, Liu ML, Liu Z, Gan ZG, Wang M, Zhang YH. Probing ^{93m}Mo Isomer Depletion with an Isomer Beam. Phys Rev Lett 2022; 128:242502. [PMID: 35776479 DOI: 10.1103/physrevlett.128.242502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 04/01/2022] [Accepted: 05/31/2022] [Indexed: 06/15/2023]
Abstract
The isomer depletion of ^{93m}Mo was recently reported [Chiara et al., Nature (London) 554, 216 (2018)NATUAS0028-083610.1038/nature25483] as the first direct observation of nuclear excitation by electron capture (NEEC). However, the measured excitation probability of 1.0(3)% is far beyond the theoretical expectation. In order to understand the inconsistency between theory and experiment, we produce the ^{93m}Mo nuclei using the ^{12}C(^{86}Kr,5n) reaction at a beam energy of 559 MeV and transport the reaction residues to a detection station far away from the target area employing a secondary beam line. The isomer depletion is expected to occur during the slowdown process of the ions in the stopping material. In such a low γ-ray background environment, the signature of isomer depletion is not observed, and an upper limit of 2×10^{-5} is estimated for the excitation probability. This is consistent with the theoretical expectation. Our findings shed doubt on the previously reported NEEC phenomenon and highlight the necessity and feasibility of further experimental investigations for reexamining the isomer depletion under low γ-ray background.
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Affiliation(s)
- S Guo
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - B Ding
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - X H Zhou
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - Y B Wu
- Max-Planck-Institut für Kernphysik, Saupfercheckweg 1, D-69117 Heidelberg, Germany
| | - J G Wang
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - S W Xu
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - Y D Fang
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - C M Petrache
- University Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - E A Lawrie
- iThemba LABS, National Research Foundation, P.O. Box 722, 7131 Somerset West, South Africa
- Department of Physics and Astronomy, University of the Western Cape, P/B X17, Bellville ZA-7535, South Africa
| | - Y H Qiang
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
| | - Y Y Yang
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - H J Ong
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
- Joint Department for Nuclear Physics, Lanzhou University and Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- Research Center for Nuclear Physics, Osaka University, Osaka 567-0047, Japan
| | - J B Ma
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - J L Chen
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - F Fang
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - Y H Yu
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - B F Lv
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
| | - F F Zeng
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
| | - Q B Zeng
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
| | - H Huang
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
| | - Z H Jia
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
| | - C X Jia
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
| | - W Liang
- Hebei University, Baoding 071001, People's Republic of China
| | - Y Li
- Hebei University, Baoding 071001, People's Republic of China
| | - N W Huang
- Department of Physics, Huzhou University, Huzhou 313000, China
| | - L J Liu
- Department of Physics, Huzhou University, Huzhou 313000, China
| | - Y Zheng
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - W Q Zhang
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - A Rohilla
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
| | - Z Bai
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - S L Jin
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - K Wang
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - F F Duan
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - G Yang
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - J H Li
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
| | - J H Xu
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
| | - G S Li
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - M L Liu
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - Z Liu
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - Z G Gan
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - M Wang
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - Y H Zhang
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
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13
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Wen T, Su C, Cheng X, Wang Y, Ma T, Bai Z, Zhang H, Liu Z. Circulating myeloid-derived suppressors cells correlate with clinicopathological characteristics and outcomes undergoing neoadjuvant chemoimmunotherapy in non-small cell lung cancer. Clin Transl Oncol 2022; 24:1184-1194. [PMID: 34988921 DOI: 10.1007/s12094-021-02765-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 12/21/2021] [Indexed: 11/25/2022]
Abstract
PURPOSE Myeloid-derived suppressors cells (MDSCs) are heterogeneous immunosuppressive cells, closely related to the development, efficacy and prognosis in various tumors. The relationship between clinicopathological characteristics, efficacy of neoadjuvant chemoimmunotherapy (NCIO) and circulating MDSCs in patients with non-small cell lung cancer (NSCLC) was investigated in this study. METHODS This study analyzed the clinical data of patients diagnosed at Department of Thoracic Surgery, Beijing Chest Hospital from November 2020 to August 2021. MDSCs and T cells subgroups were measured in fresh peripheral blood mononuclear cells(PBMCs) at baseline. Flow cytometry was used to detect MDSCs and T cells subgroups. RESULTS A total of 78 patients with NSCLC and 20 patients with benign nodule underwent direct surgery. 23 patients with NSCLC scheduled to accept NCIO before surgery. NSCLC had elevated levels of total MDSCs, PMN-MDSCs and M-MDSCs compared to patients with benign nodule. MDSCs subgroups were correlated to the pTNM stage in NSCLC patients. The frequency of total MDSCs were moderately positively correlated with regulatory T cells (Tregs)(r = 0.3597, P < 0.01) and negatively correlated with CD4 + T cells(r = 0.2714, P < 0.05). The baseline levels of total MDSCs, PMN-MDSCs and Tregs in pCR patients were significantly decreased than those of non-pCR patients (P < 0.05). CONCLUSION Circulating MDSCs were increased in NSCLC patients. MDSC subgroups were related to pTNM stage in NSCLC patients. Total MDSCs were positively correlated with Tregs levels and negatively correlated with CD4 + T cells in peripheral blood. The level of MDSCs and Tregs in peripheral blood may have potential value in predicting pathological response in NSCLC.
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Affiliation(s)
- T Wen
- No. 2 Department of Thoracic Surgery, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, China
| | - C Su
- No. 2 Department of Thoracic Surgery, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, China
| | - X Cheng
- No. 2 Department of Thoracic Surgery, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, China
| | - Y Wang
- No. 2 Department of Thoracic Surgery, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, China
| | - T Ma
- No. 2 Department of Thoracic Surgery, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, China
| | - Z Bai
- No. 2 Department of Thoracic Surgery, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, China
| | - H Zhang
- Department of Central Laboratory, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, China
| | - Z Liu
- No. 2 Department of Thoracic Surgery, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, China.
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14
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Wu Y, Zhang Y, Qin Y, Cai W, Zhang X, Xu Y, Dou X, Wang Z, Han D, Wang J, Lin G, Wang L, Hao J, Fu S, Chen R, Sun Y, Bai Z, Gu M, Wang Z. Association analysis of single-nucleotide polymorphism in prolactin and its receptor with productive and body conformation traits in Liaoning cashmere goats. Arch Anim Breed 2022; 65:145-155. [PMID: 35505666 PMCID: PMC9051658 DOI: 10.5194/aab-65-145-2022] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 03/28/2022] [Indexed: 12/12/2022] Open
Abstract
The results of this study showed that the single-nucleotide polymorphism (SNP) sites of the PRL and PRLR genes have
a certain association with the milk production performance, body size and
cashmere performance of Liaoning cashmere goats (LCGs). Through our designed
experiment, the potential SNPs of LCG were
detected by sequence alignment, and two SNPs were found on two genes. The CC
genotype of the PRL gene is the dominant genotype among the three genotypes.
The GG genotype of the PRLR gene is the dominant genotype among the two
genotypes. At the same time, the two genotypes also have good performance in
cashmere production and body size. Through the screening of haplotype
combination, the milk fat rate > 7.6 %, the milk protein
rate > 5.6 %, the milk somatic cell number < 1500 × 103 mL-1, the cashmere fineness < 15.75 µm, the
chest girth > 105 cm, the chest depth > 33 cm, and the waist
height > 67.5 cm are considered as screening indexes for
comprehensive production performance of Liaoning cashmere goats. It is
concluded that the GCGC type is the dominant haplotype combination.
According to our research data, we found that the biological indicators of
Liaoning cashmere goat milk are higher than the national standards, so we
think it is very significant to study the milk production performance of our
experiment. Further research can be done on goat milk production and body
conformation traits around PRL gene and PRLR gene.
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Affiliation(s)
- Yanzhi Wu
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural
University, Shenyang 110866, China
| | - Yu Zhang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural
University, Shenyang 110866, China
| | - Yuting Qin
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural
University, Shenyang 110866, China
| | - Weidong Cai
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural
University, Shenyang 110866, China
| | - Xinjiang Zhang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural
University, Shenyang 110866, China
| | - Yanan Xu
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural
University, Shenyang 110866, China
| | - Xingtang Dou
- Liaoning Province Modern Agricultural Production Base Construction
Engineering Center, Liaoyang 110000, China
| | - Zhanhong Wang
- Liaoning Province Modern Agricultural Production Base Construction
Engineering Center, Liaoyang 110000, China
| | - Di Han
- Liaoning Province Modern Agricultural Production Base Construction
Engineering Center, Liaoyang 110000, China
| | - Jiaming Wang
- Liaoning Province Modern Agricultural Production Base Construction
Engineering Center, Liaoyang 110000, China
| | - Guangyu Lin
- Liaoning Province Modern Agricultural Production Base Construction
Engineering Center, Liaoyang 110000, China
| | - Lingling Wang
- Liaoning Province Modern Agricultural Production Base Construction
Engineering Center, Liaoyang 110000, China
| | - Jianjun Hao
- Administration Bureau of Zhungeer Banner, Ordos City, Inner Mongolia
010399, China
| | - Shuqing Fu
- Lantian Sub-district Office, Zhungeer Banner, Ordos City, Inner Mongolia
010399, China
| | - Rui Chen
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural
University, Shenyang 110866, China
| | - Yinggang Sun
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural
University, Shenyang 110866, China
| | - Zhixian Bai
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural
University, Shenyang 110866, China
| | - Ming Gu
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural
University, Shenyang 110866, China
| | - Zeying Wang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural
University, Shenyang 110866, China
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15
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Bai Z, Xu Y, Gu M, Cai W, Zhang Y, Qin Y, Chen R, Sun Y, Wu Y, Wang Z. Proteomic analysis of coarse and fine skin tissues of Liaoning cashmere goat. Funct Integr Genomics 2022; 22:503-513. [PMID: 35366687 DOI: 10.1007/s10142-022-00856-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 03/08/2022] [Accepted: 03/22/2022] [Indexed: 11/04/2022]
Abstract
Proteomics is the study of all proteins expressed by a cell or even an organism. However, knowledge of proteins that regulate the fineness of cashmere is limited. Liaoning cashmere goat (LCG) is a valuable genetic resource of China. The skin samples of Liaoning cashmere goats during the growing period were collected, performed tandem mass tag (TMT) method, and identified 117 differentially expressed proteins in CT_LCG (course type) and FT_LCG (fine type). To verify proteins differentially expressed in LCG, we performed PRM validation on three candidate proteins (ALB, SDC1, and ITGB4) in CT-LCG and FT-LCG. Furthermore, primary metabolic process and lysosome are most enriched in the GO and KEGG pathways, respectively. In addition, we also derived a protein-protein interaction (PPI) regulatory network from the perspective of bioinformatics. This study sought to elucidate the molecular mechanism of differential proteins regulating cashmere fineness of Liaoning cashmere goats by using TMT quantitative proteomics analysis. Differentially expressed proteins ALB and SDC1 may regulate cashmere fineness; ITGB4 can become a promising protein for further study. They can be used as key proteins to lay a foundation for studying cashmere fineness of Liaoning cashmere goats.
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Affiliation(s)
- Zhixian Bai
- College of Animal Science &Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Yanan Xu
- College of Animal Science &Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Ming Gu
- College of Animal Science &Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Weidong Cai
- College of Animal Science &Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Yu Zhang
- College of Animal Science &Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Yuting Qin
- College of Animal Science &Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Rui Chen
- College of Animal Science &Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Yinggang Sun
- College of Animal Science &Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Yanzhi Wu
- College of Animal Science &Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Zeying Wang
- College of Animal Science &Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China.
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16
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Qin Y, Xu Y, Zhang Y, Gu M, Cai W, Bai Z, Zhang X, Chen R, Sun Y, Wu Y, Wang Z. Transcriptomics analysis of cashmere fineness functional genes. Anim Biotechnol 2022:1-11. [PMID: 35253626 DOI: 10.1080/10495398.2022.2042306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
Liaoning cashmere goat (LCG) is a famous cashmere goat breed in China. Cashmere fineness, as an important index to evaluate cashmere quality, is also one of the problems to be improved for Liaoning cashmere goats. Transcriptome studies all mRNA transcribed by a specific tissue or cell in a certain period. It is a key link in the study of gene expression regulation. It plays an important role in the analysis of biological growth and disease. Transcriptome is spatio-temporal specific, that is, gene expression varies in different tissues or at different times. Three coarser and three fine LCG skin samples were sequenced by RNA-seq technology, and a total of 427 differentially expressed genes were obtained, including 291 up-regulated genes and 136 down-regulated genes. In the experiment, we screened out 16 genes that had significant differences in the expression of coarse and fine cashmere of Liaoning cashmere goats, so it was inferred that these 16 genes might have regulatory effects on cashmere fineness. Moreover, GO gene set enrichment analysis revealed that differential genes mainly consist of immune response, MHC protein complex, Heme binding and other pathways. KEGG analysis showed that transplant-versus-host disease and allograft rejection were the main pathways of differential genes.
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Affiliation(s)
- Yuting Qin
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yanan Xu
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yu Zhang
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Ming Gu
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Weidong Cai
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Zhixian Bai
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Xinjiang Zhang
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Rui Chen
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yinggang Sun
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yanzhi Wu
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Zeying Wang
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
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17
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Zhang Y, Zhang D, Xu Y, Qin Y, Gu M, Cai W, Bai Z, Zhang X, Chen R, Sun Y, Wu Y, Wang Z. Selection of Cashmere Fineness Functional Genes by Translatomics. Front Genet 2022; 12:775499. [PMID: 35096002 PMCID: PMC8790676 DOI: 10.3389/fgene.2021.775499] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 11/16/2021] [Indexed: 12/22/2022] Open
Abstract
Cashmere fineness is an important index to evaluate cashmere quality. Liaoning Cashmere Goat (LCG) has a large cashmere production and long cashmere fiber, but its fineness is not ideal. Therefore, it is important to find genes involved in cashmere fineness that can be used in future endeavors aiming to improve this phenotype. With the continuous advancement of research, the regulation of cashmere fineness has made new developments through high-throughput sequencing and genome-wide association analysis. It has been found that translatomics can identify genes associated with phenotypic traits. Through translatomic analysis, the skin tissue of LCG sample groups differing in cashmere fineness was sequenced by Ribo-seq. With these data, we identified 529 differentially expressed genes between the sample groups among the 27197 expressed genes. From these, 343 genes were upregulated in the fine LCG group in relation to the coarse LCG group, and 186 were downregulated in the same relationship. Through GO enrichment analysis and KEGG enrichment analysis of differential genes, the biological functions and pathways of differential genes can be found. In the GO enrichment analysis, 491 genes were significantly enriched, and the functional region was mainly in the extracellular region. In the KEGG enrichment analysis, the enrichment of the human papillomavirus infection pathway was seen the most. We found that the COL6A5 gene may affect cashmere fineness.
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Affiliation(s)
- Yu Zhang
- College of Animal Science andVeterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Dongyun Zhang
- International Business School and International Economics and Trade, Shenyang Normal University, Shenyang, China
| | - Yanan Xu
- College of Animal Science andVeterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yuting Qin
- College of Animal Science andVeterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Ming Gu
- College of Animal Science andVeterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Weidong Cai
- College of Animal Science andVeterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Zhixian Bai
- College of Animal Science andVeterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Xinjiang Zhang
- College of Animal Science andVeterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Rui Chen
- College of Animal Science andVeterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yingang Sun
- College of Animal Science andVeterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yanzhi Wu
- College of Animal Science andVeterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Zeying Wang
- College of Animal Science andVeterinary Medicine, Shenyang Agricultural University, Shenyang, China
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18
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Wang Z, Wang Y, Hui T, Chen R, Xu Y, Zhang Y, Tian H, Wang W, Cong Y, Guo S, Zhu Y, Zhang X, Guo D, Bai M, Fan Y, Yue C, Bai Z, Sun J, Cai W, Zhang X, Gu M, Qin Y, Sun Y, Wu Y, Wu R, Dou X, Bai W, Zheng Y. Single-Cell Sequencing Reveals Differential Cell Types in Skin Tissues of Liaoning Cashmere Goats and Key Genes Related Potentially to the Fineness of Cashmere Fiber. Front Genet 2021; 12:726670. [PMID: 34858469 PMCID: PMC8631524 DOI: 10.3389/fgene.2021.726670] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Accepted: 08/25/2021] [Indexed: 11/17/2022] Open
Abstract
Cashmere fineness is one of the important factors determining cashmere quality; however, our understanding of the regulation of cashmere fineness at the cellular level is limited. Here, we used single-cell RNA sequencing and computational models to identify 13 skin cell types in Liaoning cashmere goats. We also analyzed the molecular changes in the development process by cell trajectory analysis and revealed the maturation process in the gene expression profile in Liaoning cashmere goats. Weighted gene co-expression network analysis explored hub genes in cell clusters related to cashmere formation. Secondary hair follicle dermal papilla cells (SDPCs) play an important role in the growth and density of cashmere. ACTA2, a marker gene of SDPCs, was selected for immunofluorescence (IF) and Western blot (WB) verification. Our results indicate that ACTA2 is mainly expressed in SDPCs, and WB results show different expression levels. COL1A1 is a highly expressed gene in SDPCs, which was verified by IF and WB. We then selected CXCL8 of SDPCs to verify and prove the differential expression in the coarse and fine types of Liaoning cashmere goats. Therefore, the CXCL8 gene may regulate cashmere fineness. These genes may be involved in regulating the fineness of cashmere in goat SDPCs; our research provides new insights into the mechanism of cashmere growth and fineness regulation by cells.
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Affiliation(s)
- Zeying Wang
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China.,College of Food Science, Shenyang Agricultural University, Shenyang, China
| | - Yanru Wang
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Taiyu Hui
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Rui Chen
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yanan Xu
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yu Zhang
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - He Tian
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Wei Wang
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yuyan Cong
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Suping Guo
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yanxu Zhu
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Shenyang, China
| | - Xinghui Zhang
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Shenyang, China
| | - Dan Guo
- Liaoning Provincial Department of Science and Technology, Shenyang, China
| | - Man Bai
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yixing Fan
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Chang Yue
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Zhixian Bai
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Jiaming Sun
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Weidong Cai
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Xinjiang Zhang
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Ming Gu
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yuting Qin
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yinggang Sun
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yanzhi Wu
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Rina Wu
- College of Food Science, Shenyang Agricultural University, Shenyang, China
| | - Xingtang Dou
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Shenyang, China
| | - Wenlin Bai
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yuanyuan Zheng
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
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19
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Hui T, Zheng Y, Yue C, Wang Y, Bai Z, Sun J, Cai W, Zhang X, Bai W, Wang Z. Screening of cashmere fineness-related genes and their ceRNA network construction in cashmere goats. Sci Rep 2021; 11:21977. [PMID: 34753940 PMCID: PMC8578607 DOI: 10.1038/s41598-021-01203-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 10/25/2021] [Indexed: 12/13/2022] Open
Abstract
Competitive endogenous RNA (ceRNA) is a transcript that can be mutually regulated at the post-transcriptional level by competing shared miRNAs. The ceRNA network connects the function of protein-encoded mRNA with the function of non-coding RNA, such as microRNA (miRNA), long non-coding RNA (lncRNA), and circular RNA (circRNA). However, compared with the ceRNA, the identification and combined analysis of lncRNAs, mRNAs, miRNAs, and circRNAs in the cashmere fineness have not been completed. Using RNA-seq technology, we first identified the miRNAs presented in Liaoning Cashmere Goat (LCG) skin, and then analyzed the mRNAs, lncRNAs, circRNAs expressed in LCG and Inner Mongolia cashmere goat (MCG) skin. As a result, 464 known and 45 new miRNAs were identified in LCG skin. In LCG and MCG skin, 1222 differentially expressed mRNAs were identified, 170 differentially expressed lncRNAs and 32 differentially expressed circRNAs were obtained. Then, qRT-PCR was used to confirm further the representative lncRNAs, mRNAs, circRNAs and miRNAs. In addition, miRanda predicted the relationships of ceRNA regulatory network among lncRNAs, circRNAs, miRNAs and mRNAs, the potential regulatory effects were investigated by Go and KEGG analysis. Through the screening and analysis of the results, the ceRNA network regulating cashmere fineness was constructed. LncRNA MSTRG14109.1 and circRNA452 were competed with miRNA-2330 to regulated the expression of TCHH, KRT35 and JUNB, which may provide a potential basis for further research on the process of regulating the cashmere fineness.
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Affiliation(s)
- Taiyu Hui
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Yuanyuan Zheng
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Chang Yue
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Yanru Wang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Zhixian Bai
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Jiaming Sun
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Weidong Cai
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Xinjiang Zhang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Wenlin Bai
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Zeying Wang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China.
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20
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Xu Y, Zhang X, Hui T, Sun J, Cai W, Lin G, Wang L, Dou X, Wang Z, Han D, Wang J, Zhang Y, Qin Y, Gu M, Bai Z, Sun Y, Wu Y, Chen R, Wang Z. Association analysis for SNPs of KRT26 and TCHH genes with cashmere production performance, body measurement traits and milk production traits in Liaoning cashmere goats. Anim Biotechnol 2021:1-11. [PMID: 34747683 DOI: 10.1080/10495398.2021.1996386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Cashmere fineness is getting thicker, which is one of the key problems in cashmere breeding, however, there have been no systematic studies on the molecular regulation of cashmere fineness. The aim of this study was to investigate the relationship between KRT26 and TCHH gene polymorphism and production performance in Liaoning cashmere goats (LCG). The potential single nucleotide polymorphisms (SNPs) of LCG were detected by sequence alignment and PCR-Seq polymorphism of KRT26 and TCHH genes and analyzed the effect of SNPs on production performance by SPSS software. Two SNPs sites (A559T and A6839G) of two genes were detected. The AA genotype of KRT26 A559T locus was the dominant genotype. AG and GG at TCHH A6839G locus were the dominant genotypes. AAAA was the dominant haplotype combination. The results showed that KRT26 and TCHH genes were associated with cashmere fineness of LCG, and A559T (AA) and A6839G (GG) genotypes were the preferred marker genotypes for cashmere fineness, which provided more theoretical basis for further research on cashmere fineness.
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Affiliation(s)
- Yanan Xu
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Xinjiang Zhang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Taiyu Hui
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Jiaming Sun
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Weidong Cai
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Guangyu Lin
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Liaoyang, China
| | - Lingling Wang
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Liaoyang, China
| | - Xingtang Dou
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Liaoyang, China
| | - Zhanhong Wang
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Liaoyang, China
| | - Di Han
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Liaoyang, China
| | - Jiaming Wang
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Liaoyang, China
| | - Yu Zhang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yuting Qin
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Ming Gu
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Zhixian Bai
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yinggang Sun
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yanzhi Wu
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Rui Chen
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Zeying Wang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
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21
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Wang Y, Li G, Zhang X, Zheng Y, Guo S, Guo D, Zhang X, Dou X, Hui T, Yue C, Sun J, Guo S, Bai Z, Cai W, Fan Y, Wang Z, Bai W. Analysis of m 6A methylation in skin tissues of different sex Liaoning cashmere goats. Anim Biotechnol 2021; 34:310-320. [PMID: 34431751 DOI: 10.1080/10495398.2021.1962897] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
N6-methyladenosine (m6A) is the most frequent internal modification of mRNA and lncRNA in eukaryotes. We used two high-throughput sequencing method, m6A-seq and RNA-seq to identify pivotal m6A-modified genes in cashmere fineness and fiber growth. 8062 m6A peaks were detected by m6A-seq, including 2157 upregulated and 6445 downregulated. Furthermore, by comparing m6A-modified genes of the male Liaoning Cashmere Goat (M-LCG) and female Liaoning Cashmere Goat (F-LCG) skin tissues, we get 862 differentially expressed m6A-modified genes. To identify differently expressed m6A genes associated with cashmere fineness, 11 genes were selected for validation using real time fluorescent quantitative PCR in M-LCG and F-LCG. This study provides an acadamic basis on the molecular regulation mechanism of m6A modification in cashmere growth process.
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Affiliation(s)
- Yanru Wang
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Gaoqian Li
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - Xinjiang Zhang
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yuanyuan Zheng
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Suling Guo
- Prosperous Community, Changshun Town, China
| | - Dan Guo
- Department of Science and Technology of Liaoning Province, Shenyang, China
| | - Xinghui Zhang
- Liaoning Modern Agricultural Production Base Construction Engineering Center, Academy of Animal Husbandry Science of Liaoning Province, Liaoyang, China
| | - Xingtang Dou
- Liaoning Modern Agricultural Production Base Construction Engineering Center, Academy of Animal Husbandry Science of Liaoning Province, Liaoyang, China
| | - Taiyu Hui
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Chang Yue
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Jiaming Sun
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Suping Guo
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Zhixian Bai
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Weidong Cai
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yixing Fan
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Zeying Wang
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Wenlin Bai
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
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22
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Bai Z, Zhang DS, Zhang R, Yin C, Wang RN, Huang WY, Ding J, Yang JL, Huang PY, Liu N, Wang YF, Cheng N, Bai YN. [A nested case-control study on relationship of traditional and combined lipid metabolism indexes with incidence of diabetes]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:656-661. [PMID: 34814446 DOI: 10.3760/cma.j.cn112338-20200401-00490] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the relationship between lipid indicators and the incidence of diabetes, and to compare the diabetes prediction and identification power of traditional lipid combined lipid indicators, in order to explore the best alternative indicators for identifying and predicting diabetes. Methods: Based on the Jinchang cohort, a nested case-control study was conducted in 1 025 new cases of diabetes after excluding patients with malignant tumor and related endocrine, circulatory system disease, then an age (±2 years), gender matched 1∶1 control group of 1 025 cases was set to analyze the relationship between the incidence of diabetes and lipid parameters. Results: Among the traditional lipid parameters, the fourth quartile of TG, TC, and LDL-C indicated higher risks of developing diabetes, which was 14.00 times (95%CI: 9.73-20.15), 2.15 times (95%CI: 1.65-2.79) and 1.66 times (95%CI: 1.29-2.14) than that of the first quartile, respectively. The risk of developing diabetes indicated by the fourth quartile of HDL-C was 0.21 times than that indicated by the first quartile (95%CI: 0.15-0.28). In the combined lipid parameters, the fourth quartile of TG/HDL-C, TC/HDL-C, LDL-C/HDL-C and non-HDL-C indicated higher risks of developing diabetes, which was 14.86 times (95%CI: 10.35-21.34), 8.12 times (95%CI: 5.94-11.01), 5.85 times (95%CI:4.34-7.88) and 5.20 times (95%CI: 3.85-7.03) than that indicated by the first quartile, respectively. The areas under the ROC curve of TG, TC, HDL-C, LDL-C, TG/HDL-C, TC/HDL-C, LDL-C/HDL-C and non-HDL-C were 0.76 (95%CI: 0.74-0.78), 0.59 (95%CI: 0.57-0.61), 0.67 (95%CI: 0.65-0.69), 0.57 (95%CI: 0.55-0.59), 0.77 (95%CI: 0.75-0.78), 0.73 (95%CI: 0.71-0.75), 0.69 (95%CI: 0.67-0.71) and 0.66 (95%CI: 0.64-0.68), respectively. The optimal diabetes predicting point cuts of TG, TC, HDL-C, LDL-C, TG/HDL-C, TC/HDL-C, LDL-C/HDL-C and non-HDL-C were 1.40, 4.70, 1.28, 3.25, 1.17, 3.43, 2.46, and 3.58 mmol/L, respectively. Conclusions: Lipid metabolic disorder is a risk factor for diabetes. TG and TG/HDL-C are the good lipid metabolism indicators for the prediction of diabetic.
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Affiliation(s)
- Z Bai
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - D S Zhang
- Workers' Hospital of Jinchuan Group, Jinchang 737100, China
| | - R Zhang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - C Yin
- Workers' Hospital of Jinchuan Group, Jinchang 737100, China
| | - R N Wang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - W Y Huang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - J Ding
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - J L Yang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - P Y Huang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - N Liu
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - Y F Wang
- Workers' Hospital of Jinchuan Group, Jinchang 737100, China
| | - N Cheng
- School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, China
| | - Y N Bai
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
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23
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Zhang R, Zhang DS, Wang RN, Yin C, Bai Z, Huang WY, Yang JL, Huang PY, Liu N, Chen XL, Wang YF, Cheng N, Bai YN. [Relationship of body mass index and blood pressure with diabetes: a nested case-control study]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:662-667. [PMID: 34814447 DOI: 10.3760/cma.j.cn112338-20200401-00493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: To explore the relationship of body mass index and blood pressure with the incidence of diabetes in Jinchang cohort. Methods: We designed a nested case-control study, a total of 29 572 workers who had no history of diabetes in baseline survey in Jinchang cohort were selected as the study cohort from June 2011 to December 2013. After 2 year follow-up, 1 021 workers with first diagnosed diabetes were selected as the case group, after 1∶1 matching according to the same gender and age ±2 years among those without diabetes, circulatory system, or endocrine system diseases during the same follow-up period, 1 021 controls was selected and 2 042 subjects were finally included. We used multivariate conditional logistic regression model, additive interaction model and multiplicative interaction model to explore the relationship of body mass index and blood pressure with the incidence of diabetes. Results: After adjusting for factors such as occupation, alcohol use, family history of diabetes, hyperuricemia, hypercholesterolemia, hypertriglyceridemia, low-HDL cholesterolemia and high-LDL cholesterolemia, multivariate conditional logistic regression analysis showed that the risk of diabetes increased with body mass index and blood pressure. Hypertension and overweight/obesity had a multiplicative interaction on the incidence of diabetes. The risks of diabetes in men and women with hypertension and overweight/obese were 2.04 times (95%CI: 1.54-2.69) and 3.88 times (95%CI: 2.55-5.91) higher than those in men and women with normal body weight and blood pressure, respectively. In the combination of BMI and blood pressure, obese individuals with SBP≥160 mmHg were 4.57 times (95%CI: 2.50-8.34) more likely to have diabetes than those with normal BMI and SBP, obese individuals with DBP≥90 mmHg were 3.40 times (95%CI: 2.19-5.28) more likely to have diabetes than those with normal BMI and DBP. Conclusions: Overweight/obesity and hypertension can increase the risk of diabetes. Health education about body weight and blood pressure controls should be strengthened to reduce the risk of diabetes.
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Affiliation(s)
- R Zhang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - D S Zhang
- Workers' Hospital of Jinchuan Group, Jinchang 737100, China
| | - R N Wang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - C Yin
- Workers' Hospital of Jinchuan Group, Jinchang 737100, China
| | - Z Bai
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - W Y Huang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - J L Yang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - P Y Huang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - N Liu
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - X L Chen
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - Y F Wang
- Workers' Hospital of Jinchuan Group, Jinchang 737100, China
| | - N Cheng
- School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, China
| | - Y N Bai
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
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24
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Wang RN, Zhang DS, Bai Z, Yin C, Zhang R, Yang JL, Bao KF, Huang WY, Huang PY, Liu N, Wang YF, Cheng N, Bai YN. [Prospective cohort study of relationship of triglyceride, fasting blood-glucose and triglyceride glucose product index with risk of hypertension]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:482-487. [PMID: 34814417 DOI: 10.3760/cma.j.cn112338-20200401-00491] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: To investigate the relationship of triglyceride (TG), fasting blood glucose (FPG) and triglyceride glucose product index (TyG) with the incidence of hypertension, and provide basic data for the prevention and treatment of hypertension in the population. Methods: A total of 23 581 individuals who met the research criteria in Jinchang cohort were selected as the research subjects, the Cox proportional hazard model was used to analyze the relationship of TG, FPG, and TyG with the risk of hypertension. A stratified analysis was conducted by sex. Results: After adjusting for confounding factors, compared with the normal TG group, the HR(95%CI) of the elevated TG margin group and the elevated group were 1.16 (1.01-1.34) and 1.49 (1.30-1.70), respectively in the total population. Among men, they were 1.13 (1.01-1.27) and 1.17 (1.06-1.30), and among women, they were 1.05 (0.88-1.26) and 1.06 (0.88-1.28). Compared with the normal FPG group, the HR (95%CI) of the FPG-impaired group were 1.29 (1.13-1.48) in the total population, 1.26 (1.08-1.48) in men and 1.59 (1.14-2.21) in women. Taking the lowest quartile array as a reference, the HR (95%CI) of the highest quartile array of TyG was 1.73 (1.45-2.07) in the total population, 1.32 (1.14-1.53) in men and 1.87 (1.37-2.54) in women. TG, FPG had a nonlinear dose-response relationship with the risk of hypertension, while TyG had a linear correlation with the risk of hypertension. Conclusions: Higher TG, FPG, and TyG levels are independent risk factors for the incidence of hypertension. People with higher TG, FPG and TyG are at high risk for hypertension, to which close attention should be paid in the prevention and treatment of hypertension.
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Affiliation(s)
- R N Wang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - D S Zhang
- Workers' Hospital of Jinchuan Group, Jinchang 737100, China
| | - Z Bai
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - C Yin
- Workers' Hospital of Jinchuan Group, Jinchang 737100, China
| | - R Zhang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - J L Yang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - K F Bao
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - W Y Huang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - P Y Huang
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - N Liu
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - Y F Wang
- Workers' Hospital of Jinchuan Group, Jinchang 737100, China
| | - N Cheng
- School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, China
| | - Y N Bai
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
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25
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Lee J, Xu XX, Kaneko K, Sun Y, Lin CJ, Sun LJ, Liang PF, Li ZH, Li J, Wu HY, Fang DQ, Wang JS, Yang YY, Yuan CX, Lam YH, Wang YT, Wang K, Wang JG, Ma JB, Liu JJ, Li PJ, Zhao QQ, Yang L, Ma NR, Wang DX, Zhong FP, Zhong SH, Yang F, Jia HM, Wen PW, Pan M, Zang HL, Wang X, Wu CG, Luo DW, Wang HW, Li C, Shi CZ, Nie MW, Li XF, Li H, Ma P, Hu Q, Shi GZ, Jin SL, Huang MR, Bai Z, Zhou YJ, Ma WH, Duan FF, Jin SY, Gao QR, Zhou XH, Hu ZG, Wang M, Liu ML, Chen RF, Ma XW. Large Isospin Asymmetry in ^{22}Si/^{22}O Mirror Gamow-Teller Transitions Reveals the Halo Structure of ^{22}Al. Phys Rev Lett 2020; 125:192503. [PMID: 33216609 DOI: 10.1103/physrevlett.125.192503] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Revised: 07/26/2020] [Accepted: 09/14/2020] [Indexed: 06/11/2023]
Abstract
β-delayed one-proton emissions of ^{22}Si, the lightest nucleus with an isospin projection T_{z}=-3, are studied with a silicon array surrounded by high-purity germanium detectors. Properties of β-decay branches and the reduced transition probabilities for the transitions to the low-lying states of ^{22}Al are determined. Compared to the mirror β decay of ^{22}O, the largest value of mirror asymmetry in low-lying states by far, with δ=209(96), is found in the transition to the first 1^{+} excited state. Shell-model calculation with isospin-nonconserving forces, including the T=1, J=2, 3 interaction related to the s_{1/2} orbit that introduces explicitly the isospin-symmetry breaking force and describes the loosely bound nature of the wave functions of the s_{1/2} orbit, can reproduce the observed data well and consistently explain the observation that a large δ value occurs for the first but not for the second 1^{+} excited state of ^{22}Al. Our results, while supporting the proton-halo structure in ^{22}Al, might provide another means to identify halo nuclei.
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Affiliation(s)
- J Lee
- Department of Physics, The University of Hong Kong, Hong Kong, China
| | - X X Xu
- Department of Physics, The University of Hong Kong, Hong Kong, China
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou 516003, China
| | - K Kaneko
- Department of Physics, Kyushu Sangyo University, Fukuoka 813-8503, Japan
| | - Y Sun
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413, China
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai 200240, China
| | - C J Lin
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413, China
- College of Physics and Technology, Guangxi Normal University, Guilin 541004, China
| | - L J Sun
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413, China
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai 200240, China
- National Superconducting Cyclotron Laboratory, Michigan State University, East Lansing, Michigan 48824, USA
| | - P F Liang
- Department of Physics, The University of Hong Kong, Hong Kong, China
| | - Z H Li
- School of Physic and State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China
| | - J Li
- School of Physic and State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China
| | - H Y Wu
- School of Physic and State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China
| | - D Q Fang
- Key Laboratory of Nuclear Physics and Ion-Beam Application (MOE), Institute of Modern Physics, Fudan University, Shanghai 200433, China
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - J S Wang
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- School of Science, Huzhou University, Huzhou 313000, China
| | - Y Y Yang
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - C X Yuan
- Sino-French Institute of Nuclear Engineering and Technology, Sun Yat-Sen University, Zhuhai 519082, China
| | - Y H Lam
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Y T Wang
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
- Institute of Particle and Nuclear Physics, Henan Normal University, Xinxiang, 453007, China
| | - K Wang
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - J G Wang
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - J B Ma
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - J J Liu
- Department of Physics, The University of Hong Kong, Hong Kong, China
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - P J Li
- Department of Physics, The University of Hong Kong, Hong Kong, China
| | - Q Q Zhao
- Department of Physics, The University of Hong Kong, Hong Kong, China
| | - L Yang
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413, China
| | - N R Ma
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413, China
| | - D X Wang
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413, China
| | - F P Zhong
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413, China
| | - S H Zhong
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413, China
| | - F Yang
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413, China
| | - H M Jia
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413, China
| | - P W Wen
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413, China
| | - M Pan
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413, China
- School of Physics and Nuclear Energy Engineering, Beihang University, Beijing 100191, China
| | - H L Zang
- School of Physic and State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China
| | - X Wang
- School of Physic and State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China
| | - C G Wu
- School of Physic and State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China
| | - D W Luo
- School of Physic and State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China
| | - H W Wang
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - C Li
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - C Z Shi
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - M W Nie
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - X F Li
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - H Li
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - P Ma
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Q Hu
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - G Z Shi
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - S L Jin
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - M R Huang
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Z Bai
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Y J Zhou
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - W H Ma
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - F F Duan
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, Lanzhou University, Lanzhou 730000, China
| | - S Y Jin
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Q R Gao
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - X H Zhou
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou 516003, China
| | - Z G Hu
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou 516003, China
| | - M Wang
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou 516003, China
| | - M L Liu
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - R F Chen
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - X W Ma
- CAS Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
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26
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Liu Y, Ye YL, Lou JL, Yang XF, Baba T, Kimura M, Yang B, Li ZH, Li QT, Xu JY, Ge YC, Hua H, Wang JS, Yang YY, Ma P, Bai Z, Hu Q, Liu W, Ma K, Tao LC, Jiang Y, Hu LY, Zang HL, Feng J, Wu HY, Han JX, Bai SW, Li G, Yu HZ, Huang SW, Chen ZQ, Sun XH, Li JJ, Tan ZW, Gao ZH, Duan FF, Tan JH, Sun SQ, Song YS. Positive-Parity Linear-Chain Molecular Band in ^{16}C. Phys Rev Lett 2020; 124:192501. [PMID: 32469564 DOI: 10.1103/physrevlett.124.192501] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Revised: 03/31/2020] [Accepted: 04/22/2020] [Indexed: 06/11/2023]
Abstract
An inelastic excitation and cluster-decay experiment ^{2}H(^{16}C,^{4}He+^{12}Be or ^{6}He+^{10}Be)^{2}H was carried out to investigate the linear-chain clustering structure in neutron-rich ^{16}C. For the first time, decay paths from the ^{16}C resonances to various states of the final nuclei were determined, thanks to the well-resolved Q-value spectra obtained from the threefold coincident measurement. The close-threshold resonance at 16.5 MeV is assigned as the J^{π}=0^{+} band head of the predicted positive-parity linear-chain molecular band with (3/2_{π}^{-})^{2}(1/2_{σ}^{-})^{2} configuration, according to the associated angular correlation and decay analysis. Other members of this band were found at 17.3, 19.4, and 21.6 MeV based on their selective decay properties, being consistent with the theoretical predictions. Another intriguing high-lying state was observed at 27.2 MeV which decays almost exclusively to ^{6}He+^{10}Be(∼6 MeV) final channel, corresponding well to another predicted linear-chain structure with the pure σ-bond configuration.
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Affiliation(s)
- Y Liu
- School of Physics and State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China
| | - Y L Ye
- School of Physics and State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China
| | - J L Lou
- School of Physics and State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China
| | - X F Yang
- School of Physics and State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China
| | - T Baba
- Kitami Institute of Technology, 090-8507 Kitami, Japan
| | - M Kimura
- Department of Physics, Hokkaido University, 060-0810 Sapporo, Japan
| | - B Yang
- School of Physics and State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China
| | - Z H Li
- School of Physics and State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China
| | - Q T Li
- School of Physics and State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China
| | - J Y Xu
- School of Physics and State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China
| | - Y C Ge
- School of Physics and State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China
| | - H Hua
- School of Physics and State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China
| | - J S Wang
- School of Science, Huzhou University, Huzhou 313000, China
- Institute of Modern Physics, Chinese Academy of Science, Lanzhou 730000, China
| | - Y Y Yang
- Institute of Modern Physics, Chinese Academy of Science, Lanzhou 730000, China
| | - P Ma
- Institute of Modern Physics, Chinese Academy of Science, Lanzhou 730000, China
| | - Z Bai
- Institute of Modern Physics, Chinese Academy of Science, Lanzhou 730000, China
| | - Q Hu
- Institute of Modern Physics, Chinese Academy of Science, Lanzhou 730000, China
| | - W Liu
- School of Physics and State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China
| | - K Ma
- School of Physics and State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China
| | - L C Tao
- School of Physics and State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China
| | - Y Jiang
- School of Physics and State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China
| | - L Y Hu
- Fundamental Science on Nuclear Safety and Simulation Technology Laboratory, Harbin Engineering University, Harbin 150001, China
| | - H L Zang
- School of Physics and State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China
| | - J Feng
- School of Physics and State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China
| | - H Y Wu
- School of Physics and State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China
| | - J X Han
- School of Physics and State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China
| | - S W Bai
- School of Physics and State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China
| | - G Li
- School of Physics and State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China
| | - H Z Yu
- School of Physics and State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China
| | - S W Huang
- School of Physics and State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China
| | - Z Q Chen
- School of Physics and State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China
| | - X H Sun
- School of Physics and State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China
| | - J J Li
- School of Physics and State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China
| | - Z W Tan
- School of Physics and State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, China
| | - Z H Gao
- Institute of Modern Physics, Chinese Academy of Science, Lanzhou 730000, China
| | - F F Duan
- Institute of Modern Physics, Chinese Academy of Science, Lanzhou 730000, China
| | - J H Tan
- Fundamental Science on Nuclear Safety and Simulation Technology Laboratory, Harbin Engineering University, Harbin 150001, China
| | - S Q Sun
- Fundamental Science on Nuclear Safety and Simulation Technology Laboratory, Harbin Engineering University, Harbin 150001, China
| | - Y S Song
- Fundamental Science on Nuclear Safety and Simulation Technology Laboratory, Harbin Engineering University, Harbin 150001, China
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Abstract
Tephritidae is a large family that includes several fruit and vegetable pests. These organisms usually harbor a variegated bacterial community in their digestive systems. Symbiotic associations of bacteria and fruit flies have been well-studied in the genera Anastrepha, Bactrocera, Ceratitis, and Rhagoletis. Molecular and culture-based techniques indicate that many genera of the Enterobacteriaceae family, especially the genera of Klebsiella, Enterobacter, Pectobacterium, Citrobacter, Erwinia, and Providencia constitute the most prevalent populations in the gut of fruit flies. The function of symbiotic bacteria provides a promising strategy for the biological control of insect pests. Gut bacteria can be used for controlling fruit fly through many ways, including attracting as odors, enhancing the success of sterile insect technique, declining the pesticide resistance, mass rearing of parasitoids and so on. New technology and recent research improved our knowledge of the gut bacteria diversity and function, which increased their potential for pest management. In this review, we discussed the diversity of bacteria in the economically important fruit fly and the use of these bacteria for controlling fruit fly populations. All the information is important for strengthening the future research of new strategies developed for insect pest control by the understanding of symbiotic relationships and multitrophic interactions between host plant and insects.
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Affiliation(s)
- M S Noman
- Department of Entomology, College of Plant Protection, China Agricultural University, Beijing 100193, P.R. China
| | - L Liu
- Department of Entomology, College of Plant Protection, China Agricultural University, Beijing 100193, P.R. China
| | - Z Bai
- Department of Entomology, College of Plant Protection, China Agricultural University, Beijing 100193, P.R. China
| | - Z Li
- Department of Entomology, College of Plant Protection, China Agricultural University, Beijing 100193, P.R. China
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Wang Y, Zheng Y, Guo D, Zhang X, Guo S, Hui T, Yue C, Sun J, Guo S, Bai Z, Cai W, Zhang X, Fan Y, Wang Z, Bai W. m6A Methylation Analysis of Differentially Expressed Genes in Skin Tissues of Coarse and Fine Type Liaoning Cashmere Goats. Front Genet 2020; 10:1318. [PMID: 32038703 PMCID: PMC6987416 DOI: 10.3389/fgene.2019.01318] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2019] [Accepted: 12/03/2019] [Indexed: 01/27/2023] Open
Abstract
N6-methyladenosine (m6A) is the most common internal modification in mRNAs of all higher eukaryotes. Here we perform two high-throughput sequencing methods, m6A-modified RNA immunoprecipitation sequence (MeRIP-seq) and RNA sequence (RNA-seq) to identify key genes with m6A modification in cashmere fiber growth. A total of 9,085 m6A sites were differentially RNA m6A methylated as reported from by MeRIP-seq, including 7,170 upregulated and 1,915 downregulated. In addition, by comparing m6A-modified genes between the fine-type Liaoning cashmere goat (FT-LCG) and coarse-type Liaoning Cashmere Goat (CT-LCG) skin samples, we obtain 1,170 differentially expressed genes. In order to identify the differently methylated genes related to cashmere fiber growth, 19 genes were selected to validate by performing qRT-PCR in FT-LCG and CT-LCG. In addition, GO enrichment analysis shows that differently methylated genes are mainly involved in keratin filament and intermediate filament. These findings provide a theoretical basis for future research on the function of m6A modification during the growth of cashmere fiber.
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Affiliation(s)
- Yanru Wang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yuanyuan Zheng
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Dan Guo
- Academy of Animal Husbandry Science of Liaoning Province, Liaoyang, China
| | - Xinghui Zhang
- Academy of Animal Husbandry Science of Liaoning Province, Liaoyang, China
| | | | - Taiyu Hui
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Chang Yue
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Jiaming Sun
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Suping Guo
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Zhixian Bai
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Weidong Cai
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Xinjiang Zhang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yixing Fan
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Zeying Wang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Wenlin Bai
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
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29
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Pang K, Song J, Bai Z, Zhang Z. miR-15a-5p targets PHLPP2 in gastric cancer cells to modulate platinum resistance and is a suitable serum biomarker for oxaliplatin resistance. Neoplasma 2020; 67:1114-1121. [DOI: 10.4149/neo_2020_190904n861] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Accepted: 02/19/2020] [Indexed: 11/08/2022]
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30
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Liu CL, Dong HG, Xue K, Yang W, Liu P, Cai D, Liu X, Yang Y, Bai Z. Biosynthesis of poly-γ-glutamic acid in Escherichia coli by heterologous expression of pgsBCAE operon from Bacillus. J Appl Microbiol 2019; 128:1390-1399. [PMID: 31837088 DOI: 10.1111/jam.14552] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Revised: 11/28/2019] [Accepted: 12/09/2019] [Indexed: 01/05/2023]
Abstract
AIMS Poly-γ-glutamic acid (γ-PGA) is an excellent water-soluble biosynthesis material. To confirm the rate-limiting steps of γ-PGA biosynthesis pathway, we introduced a heterologous Bacillus strain pathway and employed an enzyme-modulated dismemberment strategy in Escherichia coli. METHODS AND RESULTS In this study, we heterologously introduced the γ-PGA biosynthesis pathway of two laboratory-preserved strains-Bacillus amyloliquefaciens FZB42 and Bacillus subtilis 168 into E. coli, and compared their γ-PGA production levels. Next, by changing the plasmid copy numbers and supplying sodium glutamate, we explored the effects of gene expression levels and concentrations of the substrate l-glutamic acid on γ-PGA production. We finally employed a two-plasmid induction system using an enzyme-modulated dismemberment of pgsBCAE operon to confirm the rate-limiting genes of the γ-PGA biosynthesis pathway. CONCLUSION Through heterologously over-expressing the genes of the γ-PGA biosynthesis pathway and exploring gene expression levels, we produced 0·77 g l-1 γ-PGA in strain RSF-EBCAE(BS). We also confirmed that the rate-limiting genes of the γ-PGA biosynthesis pathway were pgsB and pgsC. SIGNIFICANCE AND IMPACT OF THE STUDY This work is beneficial to increase γ-PGA production and study the mechanism of γ-PGA biosynthesis enzymes.
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Affiliation(s)
- C-L Liu
- Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, Jiangnan University, Wuxi, China.,National Engineering Laboratory for Cereal Fermentation Technology, Jiangnan University, Wuxi, China.,Jiangsu Provincial Research Center for Bioactive Product Processing Technology, Jiangnan University, Wuxi, China.,The Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China
| | - H-G Dong
- Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, Jiangnan University, Wuxi, China.,National Engineering Laboratory for Cereal Fermentation Technology, Jiangnan University, Wuxi, China.,Jiangsu Provincial Research Center for Bioactive Product Processing Technology, Jiangnan University, Wuxi, China.,The Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China
| | - K Xue
- Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, Jiangnan University, Wuxi, China.,National Engineering Laboratory for Cereal Fermentation Technology, Jiangnan University, Wuxi, China.,Jiangsu Provincial Research Center for Bioactive Product Processing Technology, Jiangnan University, Wuxi, China.,The Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China
| | - W Yang
- Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, Jiangnan University, Wuxi, China.,National Engineering Laboratory for Cereal Fermentation Technology, Jiangnan University, Wuxi, China.,Jiangsu Provincial Research Center for Bioactive Product Processing Technology, Jiangnan University, Wuxi, China.,The Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China
| | - P Liu
- Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, Jiangnan University, Wuxi, China.,National Engineering Laboratory for Cereal Fermentation Technology, Jiangnan University, Wuxi, China.,Jiangsu Provincial Research Center for Bioactive Product Processing Technology, Jiangnan University, Wuxi, China.,The Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China
| | - D Cai
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China
| | - X Liu
- Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, Jiangnan University, Wuxi, China.,National Engineering Laboratory for Cereal Fermentation Technology, Jiangnan University, Wuxi, China.,Jiangsu Provincial Research Center for Bioactive Product Processing Technology, Jiangnan University, Wuxi, China.,The Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China
| | - Y Yang
- Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, Jiangnan University, Wuxi, China.,National Engineering Laboratory for Cereal Fermentation Technology, Jiangnan University, Wuxi, China.,Jiangsu Provincial Research Center for Bioactive Product Processing Technology, Jiangnan University, Wuxi, China.,The Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China
| | - Z Bai
- Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, Jiangnan University, Wuxi, China.,National Engineering Laboratory for Cereal Fermentation Technology, Jiangnan University, Wuxi, China.,Jiangsu Provincial Research Center for Bioactive Product Processing Technology, Jiangnan University, Wuxi, China.,The Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China
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31
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Bai Z, Liu L, Noman MS, Zeng L, Luo M, Li Z. The influence of antibiotics on gut bacteria diversity associated with laboratory-reared Bactrocera dorsalis. Bull Entomol Res 2019; 109:500-509. [PMID: 30394234 DOI: 10.1017/s0007485318000834] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
The oriental fruit fly Bactrocera dorsalis (Hendel) is a destructive insect pest of a wide range of fruit crops. Commensal bacteria play a very important part in the development, reproduction, and fitness of their host fruit fly. Uncovering the function of gut bacteria has become a worldwide quest. Using antibiotics to remove gut bacteria is a common method to investigate gut bacteria function. In the present study, three types of antibiotics (tetracycline, ampicillin, and streptomycin), each with four different concentrations, were used to test their effect on the gut bacteria diversity of laboratory-reared B. dorsalis. Combined antibiotics can change bacteria diversity, including cultivable and uncultivable bacteria, for both male and female adult flies. Secondary bacteria became the dominant population in female and male adult flies with the decrease in normally predominant bacteria. However, in larvae, only the predominant bacteria decreased, the bacteria diversity did not change a lot, likely because of the short acting time of the antibiotics. The bacteria diversity did not differ among fruit fly treatments with antibiotics of different concentrations. This study showed the dynamic changes of gut bacterial diversity in antibiotics-treated flies, and provides a foundation for research on the function of gut bacteria of the oriental fruit fly.
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Affiliation(s)
- Z Bai
- Department of Entomology, College of Plant Protection, China Agricultural University, Beijing 100193, China
| | - L Liu
- Department of Entomology, College of Plant Protection, China Agricultural University, Beijing 100193, China
| | - M S Noman
- Department of Entomology, College of Plant Protection, China Agricultural University, Beijing 100193, China
| | - L Zeng
- Department of Entomology, College of Plant Protection, China Agricultural University, Beijing 100193, China
| | - M Luo
- Department of Entomology, College of Plant Protection, China Agricultural University, Beijing 100193, China
| | - Z Li
- Department of Entomology, College of Plant Protection, China Agricultural University, Beijing 100193, China
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32
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Wu D, Fan Y, Zhou Q, Miao W, Bai Z, Sun Q. First Report of Root Rot of Sweet Leaf Bush Caused by Fusarium solani in Hainan Province, China. Plant Dis 2018; 102:PDIS10171608PDN. [PMID: 30160632 DOI: 10.1094/pdis-10-17-1608-pdn] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Affiliation(s)
- D Wu
- Institute of Tropical Agriculture and Forestry, Hainan University, Haikou, 570228, China
| | - Y Fan
- Institute of Tropical Agriculture and Forestry, Hainan University, Haikou, 570228, China
| | - Q Zhou
- Institute of Tropical Agriculture and Forestry, Hainan University, Haikou, 570228, China
| | - W Miao
- Institute of Tropical Agriculture and Forestry, Hainan University, Haikou, 570228, China
| | - Z Bai
- Institute of Tropical Agriculture and Forestry, Hainan University, Haikou, 570228, China
| | - Q Sun
- Institute of Tropical Agriculture and Forestry, Hainan University, Haikou, 570228, China
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Zhang Y, Zhang Y, Gao J, Shen Q, Bai Z, Zhuang X, Zhuang G. Optimization of the medium for the growth ofNitrobacter winogradskyiby statistical method. Lett Appl Microbiol 2018; 67:306-313. [DOI: 10.1111/lam.13036] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2018] [Revised: 06/17/2018] [Accepted: 06/19/2018] [Indexed: 11/30/2022]
Affiliation(s)
- Y. Zhang
- CAS Key Laboratory of Environmental Biotechnology; Research Center for Eco-Environmental Sciences; Chinese Academy of Sciences; Beijing China
| | - Y. Zhang
- CAS Key Laboratory of Environmental Biotechnology; Research Center for Eco-Environmental Sciences; Chinese Academy of Sciences; Beijing China
- University of the Chinese Academy of Sciences; Beijing China
| | - J. Gao
- CAS Key Laboratory of Environmental Biotechnology; Research Center for Eco-Environmental Sciences; Chinese Academy of Sciences; Beijing China
- University of the Chinese Academy of Sciences; Beijing China
| | - Q. Shen
- CAS Key Laboratory of Environmental Biotechnology; Research Center for Eco-Environmental Sciences; Chinese Academy of Sciences; Beijing China
- University of the Chinese Academy of Sciences; Beijing China
| | - Z. Bai
- CAS Key Laboratory of Environmental Biotechnology; Research Center for Eco-Environmental Sciences; Chinese Academy of Sciences; Beijing China
- University of the Chinese Academy of Sciences; Beijing China
| | - X. Zhuang
- CAS Key Laboratory of Environmental Biotechnology; Research Center for Eco-Environmental Sciences; Chinese Academy of Sciences; Beijing China
- University of the Chinese Academy of Sciences; Beijing China
| | - G. Zhuang
- CAS Key Laboratory of Environmental Biotechnology; Research Center for Eco-Environmental Sciences; Chinese Academy of Sciences; Beijing China
- University of the Chinese Academy of Sciences; Beijing China
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Yang YX, Wang JH, Liu L, Zou Q, Zhang Y, Bai Z. [Effects of seawater immersion on the inflammatory response and oxygen free radical injury of rats with superficial partial-thickness scald at early stage]. Zhonghua Shao Shang Za Zhi 2017. [PMID: 28648040 DOI: 10.3760/cma.j.issn.1009-2587.2017.06.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To study the effects of seawater immersion on the inflammatory response and oxygen free radical injury of rats with superficial-thickness scald at early stage. Methods: Seventy Wistar rats were divided into healthy control group (HC, n=7), pure scald group (PS, n=21), scald+ fresh water immersion group (SF, n=21), and scald+ seawater immersion group (SS, n=21) according to the random number table. Rats in group HC did not receive any treatment, while 5% total body surface area superficial partial-thickness scald was made on the back of rats in the latter three groups. Rats in group PS lived freely immediately post burn, while wounds on the back of rats in groups SF and SS were immersed into fresh water and seawater, respectively. Serum and full-thickness skin tissue in the center of wounds on the back of 7 rats in groups PS, SF, and SS at post immersion (injury) hour (PIH) 2, 4, and 6 were collected, respectively, while serum and full-thickness skin tissue at the same position of the 7 rats in group HC were collected at PIH 6 of rats in other groups. Morphology of skin tissue was observed with HE staining; tumor necrosis factor-alpha (TNF-α) content in serum and skin tissue was determined by enzyme-linked immunosorbent assay; superoxide dismutase (SOD) content in serum and skin tissue was determined by hydroxylamine method; malondialdehyde content in serum and skin tissue was determined by thiobarbituric acid method. Data were processed with analysis of variance of factorial design, one-way analysis of variance, Welch test, LSD test, and Tamhane test. Results: (1) Epidermal cells of skin tissue of rats in group HC arranged in order and continuously, and the dermis tissue and accessory structures were clear and complete. The skin layer and epidermis of wounds of rats in group PS had no significant change, but the edema of epidermis and dermis and infiltration of inflammatory cells enhanced over time at PIH 2, 4, and 6. The horny layer of epidermis of wounds of rats in group SF reduced, and the edema of epidermis and dermis and infiltration of inflammatory cells enhanced over time at PIH 2, 4, and 6; some epidermal cells disintegrated at PIH 6. The horny layer of epidermis of wounds of rats in group SS significantly reduced, along with the increase in disintegration of epidermal cells, the significant enhancement of edema of epidermis and dermis, and infiltration of a large number of inflammatory cells over time at PIH 2, 4, and 6. (2) Compared with (247±27) pg/mL in group HC, the serum content of TNF-α of rats in group PS significantly increased at PIH 2 and 4 [respectively (675±122) and (367±54) pg/mL, P<0.05 or P<0.01] but significantly decreased at PIH 6 [(147±27) pg/mL, P<0.01]; the serum content of TNF-α of rats in group SF significantly decreased at PIH 6 [(90±24) pg/mL, P<0.01]; the serum content of TNF-α of rats in group SS significantly increased at PIH 2, 4, and 6 [respectively (1 646±58), (2 086±114), and (2 951±58) pg/mL, with P values below 0.01]. Compared with (364±123) U/mL in group HC, the serum content of SOD of rats in group PS significantly increased at PIH 2 and 4 [respectively (489±13) and (447±14) U/mL, with P values below 0.05]; the serum content of SOD of rats in group SF significantly decreased at PIH 6 [(282±13) U/mL, P<0.05]; the serum content of SOD of rats in group SS significantly increased at PIH 2 [(461±23) U/mL, P<0.05] but significantly decreased at PIH 4 and 6 [respectively (226±8) and (205±10) U/mL, with P values below 0.01]. Compared with that in group HC, the serum content of malondialdehyde of rats in groups PS, SF, and SS significantly increased at PIH 2, 4, and 6 (with P values below 0.01). (3) Compared with that in group HC, the TNF-α content in wound tissue of rats in groups PS and SS significantly increased at PIH 2, 4, and 6 (P<0.05 or P<0.01), and the TNF-α content in wound tissue of rats in group SF significantly increased at PIH 2 and 4 (with P values below 0.01). Compared with that in group HC, the SOD content in wound tissue of rats in groups PS and SF significantly increased at PIH 2, 4, and 6 (P<0.05 or P<0.01), and the SOD content in wound tissue of rats in group SS significantly increased at PIH 2 and 4 (with P values below 0.01). Compared with that in group HC, the malondialdehyde content in wound tissue of rats in groups PS, SF, and SS significantly increased at PIH 2, 4, and 6 (with P values below 0.01). Conclusions: Seawater immersion can enhance the inflammatory response and oxygen free radical injury of wounds and the whole body of rats with superficial partial-thickness scald at early stage.
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Affiliation(s)
- Y X Yang
- Department of Burns, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
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Guo XH, Bai Z, Qiang B, Bu FH, Zhao N. Roles of monocyte chemotactic protein 1 and nuclear factor-κB in immune response to spinal tuberculosis in a New Zealand white rabbit model. ACTA ACUST UNITED AC 2017; 50:e5625. [PMID: 28225889 PMCID: PMC5333719 DOI: 10.1590/1414-431x20165625] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2016] [Accepted: 10/25/2016] [Indexed: 12/11/2022]
Abstract
This study aimed to explore the roles of monocyte chemotactic protein 1 (MCP-1) and nuclear factor kappa B (NF-κB) in immune response to spinal tuberculosis in a New Zealand white rabbit model. Forty-eight New Zealand white rabbits were collected and divided into four groups: experimental group (n=30, spinal tuberculosis model was established), the sham group (n=15, sham operation was performed) and the blank group (n=3). The qRT-PCR assay and western blotting were applied to detect the mRNA and protein expressions of MCP-1 and NF-κB in peripheral blood. ELISA was used to measure serum levels of MCP-1, NF-κB, IFN-γ, IL-2, IL-4, and IL-10. Flow cytometry was adopted to assess the distributions of CD4+, CD8+ lymphocytes and CD4+ CD25+ Foxp3 lymphocyte subsets. Compared with the sham and blank groups, the mRNA and protein expressions of MCP-1 and NF-κB in the experimental group were significantly increased. The experimental group had lower serum levels of IL-2 and IFN-γ and higher serum level of IL-10 than the sham and blank groups. In comparison to the sham and blank groups, CD4+ T lymphocyte subsets percentage, CD4+/CD8+ ratio and CD4+ CD25+ Foxp3+ Tregs subsets accounting for CD4+ lymphocyte in the experimental group were lower, while percentage of CD8+ T lymphocyte subsets was higher. Our study provided evidence that higher expression of MCP-1 and NF-κB may be associated with decreased immune function of spinal tuberculosis, which can provide a new treatment direction for spinal tuberculosis.
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Affiliation(s)
- X H Guo
- The Third Department of Orthopedics, the Fifth Hospital of Harbin, Harbin, China
| | - Z Bai
- The Third Department of Orthopedics, the Fifth Hospital of Harbin, Harbin, China
| | - B Qiang
- The Third Department of Orthopedics, the Fifth Hospital of Harbin, Harbin, China
| | - F H Bu
- Operating Room, the Fifth Hospital of Harbin, Harbin, China
| | - N Zhao
- The Third Department of Orthopedics, the Fifth Hospital of Harbin, Harbin, China
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Zhang F, Shi Y, Bai Z, Wang J, Valji K, Yang X. ▪ FEATURED ABSTRACT Intra-esophageal hyperthermia-enhanced direct tumor chemotherapy. J Vasc Interv Radiol 2016. [DOI: 10.1016/j.jvir.2015.12.113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022] Open
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Wang Y, Jin S, Jing L, Han Z, Bai X, Guo B, Li Y, Li Z, Lian G, Su J, Sun L, Yan S, Zeng S, Liu W, Yamaguchi H, Kubono S, Hu J, Kahl D, He J, Wang J, Tang X, Xu S, Ma P, Zhang N, Bai Z, Huang M, Jia B, Jin S, Ma J, Ma S, Ma W, Yang Y, Zhang L, Jung H, Moon J, Lee C, Teranishi T, Wang H, Ishiyama H, Iwasa N, Komatsubara T, Brown B. Two measurements of the 22Na+p resonant scattering via thick-target inverse-kinematics method. EPJ Web of Conferences 2016. [DOI: 10.1051/epjconf/201610904010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Bai Z, Blum T, Boyle PA, Christ NH, Frison J, Garron N, Izubuchi T, Jung C, Kelly C, Lehner C, Mawhinney RD, Sachrajda CT, Soni A, Zhang D. Standard Model Prediction for Direct CP Violation in K→ππ Decay. Phys Rev Lett 2015; 115:212001. [PMID: 26636846 DOI: 10.1103/physrevlett.115.212001] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2015] [Indexed: 06/05/2023]
Abstract
We report the first lattice QCD calculation of the complex kaon decay amplitude A_{0} with physical kinematics, using a 32³×64 lattice volume and a single lattice spacing a, with 1/a=1.3784(68) GeV. We find Re(A_{0})=4.66(1.00)(1.26)×10(-7) GeV and Im(A_{0})=-1.90(1.23)(1.08)×10(-11) GeV, where the first error is statistical and the second systematic. The first value is in approximate agreement with the experimental result: Re(A_{0})=3.3201(18)×10(-7) GeV, while the second can be used to compute the direct CP-violating ratio Re(ϵ^{'}/ϵ)=1.38(5.15)(4.59)×10^{-4}, which is 2.1σ below the experimental value 16.6(2.3)×10(-4). The real part of A_{0} is CP conserving and serves as a test of our method while the result for Re(ϵ^{'}/ϵ) provides a new test of the standard model theory of CP violation, one which can be made more accurate with increasing computer capability.
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Affiliation(s)
- Z Bai
- Physics Department, Columbia University, New York, New York 10027, USA
| | - T Blum
- Physics Department, University of Connecticut, Storrs, Connecticut 06269-3046, USA
| | - P A Boyle
- SUPA, School of Physics, The University of Edinburgh, Edinburgh EH9 3JZ, United Kingdom
| | - N H Christ
- Physics Department, Columbia University, New York, New York 10027, USA
| | - J Frison
- SUPA, School of Physics, The University of Edinburgh, Edinburgh EH9 3JZ, United Kingdom
| | - N Garron
- School of Computing & Mathematics, Plymouth University, Plymouth PL4 8AA, United Kingdom
| | - T Izubuchi
- Physics Department, Brookhaven National Laboratory, Upton, New York 11973, USA
- RIKEN-BNL Research Center, Brookhaven National Laboratory, Upton, New York 11973, USA
| | - C Jung
- Physics Department, Brookhaven National Laboratory, Upton, New York 11973, USA
| | - C Kelly
- RIKEN-BNL Research Center, Brookhaven National Laboratory, Upton, New York 11973, USA
| | - C Lehner
- Physics Department, Brookhaven National Laboratory, Upton, New York 11973, USA
| | - R D Mawhinney
- Physics Department, Columbia University, New York, New York 10027, USA
| | - C T Sachrajda
- School of Physics and Astronomy, University of Southampton, Southampton SO17 1BJ, United Kingdom
| | - A Soni
- Physics Department, Brookhaven National Laboratory, Upton, New York 11973, USA
| | - D Zhang
- Physics Department, Columbia University, New York, New York 10027, USA
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39
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Li K, Bai Z, Zhu H, Di B. Prospective Evaluation of Rapid Antigen Tests for Diagnosis of Respiratory Viral Pathogens. Transplant Proc 2015; 47:1790-5. [PMID: 26293052 PMCID: PMC7111891 DOI: 10.1016/j.transproceed.2015.05.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2015] [Revised: 04/27/2015] [Accepted: 05/14/2015] [Indexed: 11/20/2022]
Abstract
Acute respiratory infection is a frequently transmitted illness of concern to doctors and patients. Considering its airborne transmission, early diagnosis of such disease is particularly important. This study explored respiratory viral infections with influenza virus, parainfluenza virus, respiratory syncytial virus, human metapneumovirus, human bocavirus, coronavirus, and other early diagnostic substances as confirmed by literature resources. This study also used the corresponding monoclonal antibodies that were produced with the use of hybridoma technology, which were fixed on the chip after purification, for further serum detection. Using this method, a new technique to simultaneously detect 6 kinds of febrile respiratory viruses in a protein chip was developed. The accuracy rate of this method can be >99.65%. This product is inexpensive and capable of high-precision and high-throughput screening, which are prominent advantages. Six diagnostic methods on respiratory viral infection are explored in this study. Monoclonal antibodies produced with hybridoma technology are used. A new technique to simultaneously detect 6 kinds of febrile respiratory viruses in a protein chip was developed. The accuracy rate for this method is >99.65%, and is inexpensive and capable of high-precision and high-throughout screening.
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40
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Han B, Bai Z, Liu Y, You Y, Xu J, Zhou J, Zhang J, Niu C, Zhang N, He F, Ding X. Characterizations, relationship, and potential sources of outdoor and indoor particulate matter bound polycyclic aromatic hydrocarbons (PAHs) in a community of Tianjin, Northern China. Indoor Air 2015; 25:320-328. [PMID: 25039922 DOI: 10.1111/ina.12145] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/19/2014] [Accepted: 07/17/2014] [Indexed: 06/03/2023]
Abstract
Polycyclic aromatic hydrocarbons (PAHs) are among the most toxic air pollutants in China. However, because there are unsubstantial data on indoor and outdoor particulate PAHs, efforts in assessing inhalation exposure and cancer risk to PAHs are limited in China. This study measured 12 individual PAHs in indoor and outdoor environments at 36 homes during the non-heating period and heating period in 2009. Indoor PAH concentrations were comparable with outdoor environments in the non-heating period, but were lower in the heating period. The average indoor/outdoor ratios in both sampling periods were lower than 1, while the ratios in the non-heating period were higher than those in the heating period. Correlation analysis and coefficient of divergence also verified the difference between indoor and outdoor PAHs, which could be caused by high ventilation in the non-heating period. To support this conclusion, linear and robust regressions were used to estimate the infiltration factor to compare outdoor PAHs to indoor PAHs. The calculated infiltration factors obtained by the two models were similar in the non-heating period but varied greatly in the heating period, which may have been caused by the influence of ventilation. Potential sources were distinguished using a diagnostic ratio and a mixture of coal combustion and traffic emission, which are major sources of PAHs.
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Affiliation(s)
- B Han
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China
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41
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Wang J, Zhang F, shi Y, Bai Z, Qiu L, Li Y, Zhai R, Yang X. Radiofrequency hyperthermia (RFH)-enhanced herpes simplex virus-thymidine kinase (HSV-TK) gene therapy of hepatocellular carcinoma. J Vasc Interv Radiol 2015. [DOI: 10.1016/j.jvir.2014.12.193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022] Open
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42
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shi Y, Zhang F, Bai Z, Wang J, Qiu L, Yang X. Radiofrequency hyperthermia-enhanced local chemotherapy of esophageal squamous cancers. J Vasc Interv Radiol 2015. [DOI: 10.1016/j.jvir.2014.12.498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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43
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Bai Z, Zhang F, shi Y, Qiu L, Wang J, Teng G, Yang X. Radiofrequency hyperthermia (RFH)-enhanced chemotherapy of pancreatic cancers monitored by dual-modality imaging. J Vasc Interv Radiol 2015. [DOI: 10.1016/j.jvir.2014.12.354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
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44
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Bai Z, Xie H, You Q, Pickerill S, Zhang Y, Li T, Geng J, Hu L, Shan H, Di B. Isothermal cross-priming amplification implementation study. Lett Appl Microbiol 2014; 60:205-9. [DOI: 10.1111/lam.12342] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2014] [Revised: 10/16/2014] [Accepted: 10/17/2014] [Indexed: 11/28/2022]
Affiliation(s)
- Z. Bai
- Guangzhou Center for Disease Control and Prevention; Guangzhou Guangdong China
| | - H. Xie
- Guangzhou Center for Disease Control and Prevention; Guangzhou Guangdong China
| | - Q. You
- Ustar Biotechnologies (Hangzhou) Co., Ltd.; Hangzhou Zhejiang China
| | - S. Pickerill
- Ustar Biotechnologies (Hangzhou) Co., Ltd.; Hangzhou Zhejiang China
| | - Y. Zhang
- Guangzhou Center for Disease Control and Prevention; Guangzhou Guangdong China
| | - T. Li
- Guangzhou Center for Disease Control and Prevention; Guangzhou Guangdong China
| | - J. Geng
- Guangzhou Center for Disease Control and Prevention; Guangzhou Guangdong China
| | - L. Hu
- Ustar Biotechnologies (Hangzhou) Co., Ltd.; Hangzhou Zhejiang China
| | - H. Shan
- ADICON Clinical Laboratory, Inc.; Hangzhou Zhejiang China
| | - B. Di
- Guangzhou Center for Disease Control and Prevention; Guangzhou Guangdong China
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45
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Bai Z, Christ NH, Izubuchi T, Sachrajda CT, Soni A, Yu J. K(L) - K(S) mass difference from lattice QCD. Phys Rev Lett 2014; 113:112003. [PMID: 25259970 DOI: 10.1103/physrevlett.113.112003] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/03/2014] [Indexed: 06/03/2023]
Abstract
We report on the first complete calculation of the K_{L}-K_{S} mass difference, ΔM_{K}, using lattice QCD. The calculation is performed on a 2+1 flavor, domain wall fermion ensemble with a 330 MeV pion mass and a 575 MeV kaon mass. We use a quenched charm quark with a 949 MeV mass to implement Glashow-Iliopoulos-Maiani cancellation. For these heavier-than-physical particle masses, we obtain ΔM_{K}=3.19(41)(96)×10^{-12} MeV, quite similar to the experimental value. Here the first error is statistical, and the second is an estimate of the systematic discretization error. An interesting aspect of this calculation is the importance of the disconnected diagrams, a dramatic failure of the Okubo-Zweig-Iizuka rule.
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Affiliation(s)
- Z Bai
- Physics Department, Columbia University, New York, New York 10027, USA
| | - N H Christ
- Physics Department, Columbia University, New York, New York 10027, USA
| | - T Izubuchi
- Brookhaven National Laboratory, Upton, New York 11973, USA and RIKEN-BNL Research Center, Brookhaven National Laboratory, Upton, New York 11973, USA
| | - C T Sachrajda
- School of Physics and Astronomy, University of Southampton, Southampton SO17 1BJ, United Kingdom
| | - A Soni
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - J Yu
- Physics Department, Columbia University, New York, New York 10027, USA
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47
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Pu Q, Bai Z, Haque Z, Wang J, Huang R. Occipital somites guide motor axons of the accessory nerve in the avian embryo. Neuroscience 2013; 246:22-7. [PMID: 23632169 DOI: 10.1016/j.neuroscience.2013.04.039] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2013] [Revised: 04/04/2013] [Accepted: 04/18/2013] [Indexed: 10/26/2022]
Abstract
The accessory nerve (nervus accessorius) displays a unique organization in that its axons ascend along the rostrocaudal axis after exiting the cervical spinal cord and medulla oblongata and thereafter project ventrally into the periphery at the first somite level. Little is known about how this organization is achieved. We have investigated the role of somites in the guidance of motor axons of the accessory nerve using heterotopic transplantations of somites in avian embryos. The formation of not only accessory nerve but also the vagal nerve was affected, when a more caudal occipital somite (somites 2-4) was grafted to the position of the first occipital somite. Our study reveals that only the first occipital somite permits the development of ventral projection of accessory axons, a process that is inhibited by more caudal occipital somites.
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Affiliation(s)
- Q Pu
- Department of Neuroanatomy, Institute of Anatomy, University of Bonn, Germany
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48
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Xu J, Zhu L, Fang D, Liu L, Bai Z, Wang L, Xu W. A simple QSPR model for the prediction of the adsorbability of organic compounds onto activated carbon cloth. SAR QSAR Environ Res 2013; 24:47-59. [PMID: 23066906 DOI: 10.1080/1062936x.2012.728997] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
A quantitative structure-property relationship (QSPR) model was proposed between the molecular descriptors representing the molecular structure and the Freundlich adsorbability parameter (K) for a set of 55 organic compounds onto activated carbon cloth. The best linear model was composed of three descriptors, which were selected by stepwise multiple linear regression (MLR) analysis. The statistical parameters provided by the linear model were r² = 0.7744, r²(adj) = 0.7551, s = 0.169 for the training set; and r² = 0.6725, r²(adj) = 0.6316, s = 0.196 for the external test set, respectively. The stability and predictive power of the proposed model were further verified using Y-randomization tests, five-fold cross-validation and leave-many-out cross-validation. The model may give some insight into the main structural features that affect the adsorption of the investigated compounds onto activated carbon cloth.
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Affiliation(s)
- J Xu
- Key Lab of Green Processing & Functional Textiles of New Textile Materials, Ministry of Education, Wuhan Textile University, China.
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Chung S, Bai Z, Rymer WZ, Zhang LQ. Changes of Reflex, Non-reflex and Torque Generation Properties of Spastic Ankle Plantar Flexors Induced by Intelligent Stretching. Conf Proc IEEE Eng Med Biol Soc 2012; 2005:3672-5. [PMID: 17281024 DOI: 10.1109/iembs.2005.1617279] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Spasticity, contracture, and muscle weakness are major sources of disability in stroke. Changes of torque-generating capacity as well as reflex and non-reflex properties of ankle plantar flexors induced by strenuous stretching in chronic hemiplegia were investigated. Twelve subjects with a unilateral stroke and 10 healthy controls underwent 30 minutes of strenuous intelligent stretching treatment. Reflex and non-reflex components of spastic hypertonia and force-generating capacity of ankle plantar flexors were investigated. Dorsiflexion (DF) range of motion (ROM) was increased (p=0.002) and passive stiffness and passive resistant torque of the spastic muscles were decreased (p=0.004 and 0.007, respectively), while reflex hyper-excitability diminished slightly but with no statistical significance. The maximal voluntary contraction (MVC) torque of the spastic ankle plantar flexors was increased after the forceful stretching treatment (p=0.041). In contrast, the stretching treatment of the healthy plantar flexors did not change any of the variables measured before and after stretching. The stroke subjects who gained more DF ROM or larger decrement of stiffness achieved greater increment of the peak torque generation after the stretching (r=0.597 with p=0.040 and r=-0.746 with p=0.005, respectively). These results suggest that the strenuous dynamic stretching could improve the force-generating capacity of spastic muscles as well as reduce the passive stiffness and increase ROM.
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Affiliation(s)
- S Chung
- Rehabilitation Institute of Chicago, Department of Physical Medicine & Rehabilitation, Department of Rehabilitation Medicine, Seoul National University, Seoul, South Korea
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50
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Guan TX, He HB, Zhang XD, Bai Z. Cu fractions, mobility and bioavailability in soil-wheat system after Cu-enriched livestock manure applications. Chemosphere 2011; 82:215-22. [PMID: 21040942 DOI: 10.1016/j.chemosphere.2010.10.018] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2010] [Revised: 10/01/2010] [Accepted: 10/04/2010] [Indexed: 05/10/2023]
Abstract
Fertilization of crops with livestock manure (LM) is a common waste disposal option, but repeated application of LM containing high concentrations of heavy metals such as Cu could lead to crop toxicity and environmental risk. To examine the Cu availability and uptake by wheat in a Mollisol affected by Cu-enriched LM, pot experiments were conducted. LM (376 mg kg⁻¹ Cu originally) was spiked with different concentrations of Cu (0, 100, 200, 400, 600 and 800 mg kg⁻¹ soil, added as CuSO⁴) to simulate soil Cu contamination by LM application. The results indicated that Cu was predominately distributed in organic bound fraction, while the most drastic increase was found in reducible fraction. Acid-extractable fraction played a more important role than other fractions in controlling the mobility and bioavailability of Cu. DTPA-extractable Cu may overestimate the Cu bioavailability since DTPA solution could extract soluble and part of stable forms. The application of LM at 1% level significantly decline the Cu mobility, but that at 3% level exhibited the opposite effect. Although the quantities of Cu in wheat was very low compared with the accumulation in soil, Cu concentrations in roots increased evidently from 12 to 533 mg kg⁻¹ and that in aerial parts were in a narrow range from 12.1 to 32.7 mg kg⁻¹, indicating the more sensitivity of roots to the Cu toxicity. The Cu concentrations in grains after 3% manure application did not approach the threshold for Cu toxicity (< 20mg kg⁻¹) even at higher Cu addition rates.
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Affiliation(s)
- T X Guan
- Key Laboratory of Terrestrial Ecological Process, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
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