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Jiang YR, Zhu L, Cao LR, Wu Q, Chen JB, Wang Y, Wu J, Zhang TY, Wang ZL, Guan ZY, Xu QQ, Fan QX, Shi SW, Wang HF, Pan JZ, Fu XD, Wang Y, Fang Q. Simultaneous deep transcriptome and proteome profiling in a single mouse oocyte. Cell Rep 2023; 42:113455. [PMID: 37976159 DOI: 10.1016/j.celrep.2023.113455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Revised: 09/23/2023] [Accepted: 11/01/2023] [Indexed: 11/19/2023] Open
Abstract
Although single-cell multi-omics technologies are undergoing rapid development, simultaneous transcriptome and proteome analysis of a single-cell individual still faces great challenges. Here, we developed a single-cell simultaneous transcriptome and proteome (scSTAP) analysis platform based on microfluidics, high-throughput sequencing, and mass spectrometry technology to achieve deep and joint quantitative analysis of transcriptome and proteome at the single-cell level, providing an important resource for understanding the relationship between transcription and translation in cells. This platform was applied to analyze single mouse oocytes at different meiotic maturation stages, reaching an average quantification depth of 19,948 genes and 2,663 protein groups in single mouse oocytes. In particular, we analyzed the correlation of individual RNA and protein pairs, as well as the meiosis regulatory network with unprecedented depth, and identified 30 transcript-protein pairs as specific oocyte maturational signatures, which could be productive for exploring transcriptional and translational regulatory features during oocyte meiosis.
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Affiliation(s)
- Yi-Rong Jiang
- Institute of Microanalytical Systems, Department of Chemistry, Zhejiang University, Hangzhou 310058, China
| | - Le Zhu
- School of Medicine, Liangzhu Laboratory, Zhejiang University, Hangzhou 311113, China
| | - Lan-Rui Cao
- School of Medicine, Liangzhu Laboratory, Zhejiang University, Hangzhou 311113, China
| | - Qiong Wu
- Institute of Microanalytical Systems, Department of Chemistry, Zhejiang University, Hangzhou 310058, China
| | - Jian-Bo Chen
- Institute of Microanalytical Systems, Department of Chemistry, Zhejiang University, Hangzhou 310058, China
| | - Yu Wang
- Institute of Microanalytical Systems, Department of Chemistry, Zhejiang University, Hangzhou 310058, China; ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou 311200, China
| | - Jie Wu
- Institute of Microanalytical Systems, Department of Chemistry, Zhejiang University, Hangzhou 310058, China
| | | | | | - Zhi-Ying Guan
- Institute of Microanalytical Systems, Department of Chemistry, Zhejiang University, Hangzhou 310058, China
| | - Qin-Qin Xu
- Institute of Microanalytical Systems, Department of Chemistry, Zhejiang University, Hangzhou 310058, China
| | - Qian-Xi Fan
- Institute of Microanalytical Systems, Department of Chemistry, Zhejiang University, Hangzhou 310058, China
| | - Shao-Wen Shi
- ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou 311200, China
| | - Hui-Feng Wang
- ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou 311200, China
| | - Jian-Zhang Pan
- Institute of Microanalytical Systems, Department of Chemistry, Zhejiang University, Hangzhou 310058, China; ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou 311200, China
| | - Xu-Dong Fu
- School of Medicine, Liangzhu Laboratory, Zhejiang University, Hangzhou 311113, China; Center of Stem Cell and Regenerative Medicine and Bone Marrow Transplantation Center of the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310011, China.
| | - Yongcheng Wang
- School of Medicine, Liangzhu Laboratory, Zhejiang University, Hangzhou 311113, China; Department of Laboratory Medicine, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310011, China.
| | - Qun Fang
- Institute of Microanalytical Systems, Department of Chemistry, Zhejiang University, Hangzhou 310058, China; ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou 311200, China; Key Laboratory of Excited-State Materials of Zhejiang Province, Zhejiang University, Hangzhou 310007, China.
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Jiang G, Zhang L, Zhao J, Li L, Huang Z, Wang Z. Dynamic Autophagy Map in Mouse Female Germ Cells Throughout the Fetal to Postnatal Life. Reprod Sci 2023; 30:169-180. [PMID: 35501593 DOI: 10.1007/s43032-022-00940-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 04/08/2022] [Indexed: 01/06/2023]
Abstract
Autophagy plays vital roles in mouse female germ cells, but the potential mechanism is largely unknown. In this study, by interrogating single-cell RNA-seq dataset, we investigated the dynamic expression of autophagy-related genes in seven types of germ cells (mitosis, pre-leptotene, leptotene, zygotene, pachytene, diplotene, and dictyate) and discovered stage-specific autophagy-related genes. Using immunofluorescence (IF) and transmission electron microscopy (TEM), autophagy activity and autophagosome numbers were revealed from mitosis to follicular assembly (E12.5 (embryonic day 12.5) to P5 (postnatal day 5)). Furthermore, single-sample gene set enrichment analysis (ssGSEA) was performed to validate the autophagy kinetics from E12.5 to P5. Our study proved that the mitosis, diplotene, and dictyate female germ cells had relatively higher autophagy activity among the seven subtypes. In summary, our work provided an autophagy map, suggesting that autophagy was complicated in mouse female germ cell development from the fetal to postnatal life, which paved a new insight for deciphering the autophagy regulatory networks for cell-fate transition and female infertility issues like primary ovarian insufficiency (POI).
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Affiliation(s)
- Gurong Jiang
- Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Li Zhang
- Department of Pathophysiology, Guangdong Provincial Key Laboratory of Proteomics, Southern Medical University, Guangzhou, 510515, China
| | - Jiexiang Zhao
- Dongguan People's Hospital, Southern Medical University, Dongguan, 523059, China.,Department of Developmental Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China
| | - Lin Li
- Department of Pathophysiology, Guangdong Provincial Key Laboratory of Proteomics, Southern Medical University, Guangzhou, 510515, China
| | - Zhenqin Huang
- Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Zhijian Wang
- Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
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Ipsaro JJ, Joshua‐Tor L. Developmental roles and molecular mechanisms of Asterix/GTSF1. WIRES RNA 2022; 13:e1716. [PMID: 35108755 PMCID: PMC9539491 DOI: 10.1002/wrna.1716] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 11/29/2021] [Accepted: 11/30/2021] [Indexed: 01/07/2023]
Abstract
Maintenance of germline genomic integrity is critical for the survival of animal species. Consequently, many cellular and molecular processes have evolved to ensure genetic stability during the production of gametes. Here, we describe the discovery, characterization, and emerging molecular mechanisms of the protein Asterix/Gametocyte‐specific factor 1 (GTSF1), an essential gametogenesis factor that is conserved from insects to humans. Beyond its broad importance for healthy germline development, Asterix/GTSF1 has more specific functions in the Piwi‐interacting RNA (piRNA)–RNA interference pathway. There, it contributes to the repression of otherwise deleterious transposons, helping to ensure faithful transmission of genetic information to the next generation. This article is categorized under:Regulatory RNAs/RNAi/Riboswitches > RNAi: Mechanisms of Action Regulatory RNAs/RNAi/Riboswitches > Regulatory RNAs RNA Interactions with Proteins and Other Molecules > RNA‐Protein Complexes RNA Interactions with Proteins and Other Molecules > Protein‐RNA Interactions: Functional Implications
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Affiliation(s)
- Jonathan J. Ipsaro
- Howard Hughes Medical Institute W.M. Keck Structural Biology Laboratory, Cold Spring Harbor Laboratory Cold Spring Harbor New York USA
| | - Leemor Joshua‐Tor
- Howard Hughes Medical Institute W.M. Keck Structural Biology Laboratory, Cold Spring Harbor Laboratory Cold Spring Harbor New York USA
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Mugerwa H, Gautam S, Catto MA, Dutta B, Brown JK, Adkins S, Srinivasan R. Differential Transcriptional Responses in Two Old World Bemisia tabaci Cryptic Species Post Acquisition of Old and New World Begomoviruses. Cells 2022; 11:cells11132060. [PMID: 35805143 PMCID: PMC9265393 DOI: 10.3390/cells11132060] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Revised: 06/20/2022] [Accepted: 06/27/2022] [Indexed: 12/13/2022] Open
Abstract
Begomoviruses are transmitted by several cryptic species of the sweetpotato whitefly, Bemisia tabaci (Gennadius), in a persistent and circulative manner. Upon virus acquisition and circulative translocation within the whitefly, a multitude of molecular interactions occur. This study investigated the differentially expressed transcript profiles associated with the acquisition of the Old World monopartite begomovirus, tomato yellow leaf curl virus (TYLCV), and two New World bipartite begomoviruses, sida golden mosaic virus (SiGMV) and cucurbit leaf crumple virus (CuLCrV), in two invasive B. tabaci cryptic species, Middle East-Asia Minor 1 (MEAM1) and Mediterranean (MED). A total of 881 and 559 genes were differentially expressed in viruliferous MEAM1 and MED whiteflies, respectively, compared with their non-viruliferous counterparts, of which 146 genes were common between the two cryptic species. For both cryptic species, the number of differentially expressed genes (DEGs) associated with TYLCV and SiGMV acquisition were higher compared with DEGs associated with CuLCrV acquisition. Pathway analysis indicated that the acquisition of begomoviruses induced differential changes in pathways associated with metabolism and organismal systems. Contrasting expression patterns of major genes associated with virus infection and immune systems were observed. These genes were generally overexpressed and underexpressed in B. tabaci MEAM1 and MED adults, respectively. Further, no specific expression pattern was observed among genes associated with fitness (egg production, spermatogenesis, and aging) in viruliferous whiteflies. The weighted gene correlation network analysis of viruliferous B. tabaci MEAM1 and MED adults identified different hub genes potentially implicated in the vector competence and circulative tropism of viruses. Taken together, the results indicate that both vector cryptic species and the acquired virus species could differentially affect gene expression.
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Affiliation(s)
- Habibu Mugerwa
- Department of Entomology, University of Georgia, 1109 Experiment Street, Griffin, GA 30223, USA; (H.M.); (S.G.); (M.A.C.)
| | - Saurabh Gautam
- Department of Entomology, University of Georgia, 1109 Experiment Street, Griffin, GA 30223, USA; (H.M.); (S.G.); (M.A.C.)
| | - Michael A. Catto
- Department of Entomology, University of Georgia, 1109 Experiment Street, Griffin, GA 30223, USA; (H.M.); (S.G.); (M.A.C.)
| | - Bhabesh Dutta
- Department of Plant Pathology, University of Georgia, 3250 Rainwater Road, Tifton, GA 31793, USA;
| | - Judith K. Brown
- School of Plant Sciences, University of Arizona, Tuscon, AZ 85721, USA;
| | - Scott Adkins
- USDA-ARS, U.S. Horticultural Research Laboratory, Fort Pierce, FL 34945, USA;
| | - Rajagopalbabu Srinivasan
- Department of Entomology, University of Georgia, 1109 Experiment Street, Griffin, GA 30223, USA; (H.M.); (S.G.); (M.A.C.)
- Correspondence: ; Tel.: +1-770-229-3099
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Omolaoye TS, Hachim MY, du Plessis SS. Using publicly available transcriptomic data to identify mechanistic and diagnostic biomarkers in azoospermia and overall male infertility. Sci Rep 2022; 12:2584. [PMID: 35173218 PMCID: PMC8850557 DOI: 10.1038/s41598-022-06476-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 01/28/2022] [Indexed: 12/23/2022] Open
Abstract
Azoospermia, which is the absence of spermatozoa in an ejaculate occurring due to defects in sperm production, or the obstruction of the reproductive tract, affects about 1% of all men and is prevalent in up to 10–15% of infertile males. Conventional semen analysis remains the gold standard for diagnosing and treating male infertility; however, advances in molecular biology and bioinformatics now highlight the insufficiency thereof. Hence, the need to widen the scope of investigating the aetiology of male infertility stands pertinent. The current study aimed to identify common differentially expressed genes (DEGs) that might serve as potential biomarkers for non-obstructive azoospermia (NOA) and overall male infertility. DEGs across different datasets of transcriptomic profiling of testis from human patients with different causes of infertility/ impaired spermatogenesis and/or azoospermia were explored using the gene expression omnibus (GEO) database. Following the search using the GEOquery, 30 datasets were available, with 5 meeting the inclusion criteria. The DEGs for datasets were identified using limma R packages through the GEO2R tool. The annotated genes of the probes in each dataset were intersected with DEGs from all other datasets. Enriched Ontology Clustering for the identified genes was performed using Metascape to explore the possible connection or interaction between the genes. Twenty-five DEGs were shared between most of the datasets, which might indicate their role in the pathogenesis of male infertility. Of the 25 DEGs, eight genes (THEG, SPATA20, ROPN1L, GSTF1, TSSK1B, CABS1, ADAD1, RIMBP3) are either involved in the overall spermatogenic processes or at specific phases of spermatogenesis. We hypothesize that alteration in the expression of these genes leads to impaired spermatogenesis and, ultimately, male infertility. Thus, these genes can be used as potential biomarkers for the early detection of NOA.
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Affiliation(s)
- Temidayo S Omolaoye
- Department of Basic Sciences, College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, UAE
| | - Mahmood Yaseen Hachim
- Department of Basic Sciences, College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, UAE.
| | - Stefan S du Plessis
- Department of Basic Sciences, College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, UAE.,Division of Medical Physiology, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa
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Comparative Transcriptome Analysis of Gonads for the Identification of Sex-Related Genes in Giant Freshwater Prawns ( Macrobrachium Rosenbergii) Using RNA Sequencing. Genes (Basel) 2019; 10:genes10121035. [PMID: 31835875 PMCID: PMC6947849 DOI: 10.3390/genes10121035] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Revised: 11/26/2019] [Accepted: 12/02/2019] [Indexed: 12/18/2022] Open
Abstract
The giant freshwater prawn (Macrobrachium rosenbergii) exhibits sex dimorphism between the male and female individuals. To date, the molecular mechanism governing gonadal development was unclear, and limited data were available on the gonad transcriptome of M. rosenbergii. Here, we conducted comprehensive gonadal transcriptomic analysis of female (ZW), super female (WW), and male (ZZ) M. rosenbergii for gene discovery. A total of 70.33 gigabases (Gb) of sequences were generated. There were 115,338 unigenes assembled with a mean size of 1196 base pair (bp) and N50 of 2195 bp. Alignment against the National Center for Biotechnology Information (NCBI) non-redundant nucleotide/protein sequence database (NR and NT), the Kyoto Encyclopedia of Genes and Genomes (KEGG) database, SwissProt database, Protein family (Pfam), Gene ontology (GO), and the eukaryotic orthologous group (KOG) database, 36,282 unigenes were annotated at least in one database. Comparative transcriptome analysis observed that 10,641, 16,903, and 3393 genes were significantly differentially expressed in ZW vs. ZZ, WW vs. ZZ, and WW vs. ZW samples, respectively. Enrichment analysis of differentially expressed genes (DEGs) resulted in 268, 153, and 42 significantly enriched GO terms, respectively, and a total of 56 significantly enriched KEGG pathways. Additionally, 23 putative sex-related genes, including Gtsf1, IR, HSP21, MRPINK, Mrr, and other potentially promising candidate genes were identified. Moreover, 56,241 simple sequence repeats (SSRs) were identified. Our findings provide a valuable archive for further functional analyses of sex-related genes and future discoveries of underlying molecular mechanisms of gonadal development and sex determination.
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Hall SE, Upton RMO, McLaughlin EA, Sutherland JM. Phosphoinositide 3-kinase/protein kinase B (PI3K/AKT) and Janus kinase/signal transducer and activator of transcription (JAK/STAT) follicular signalling is conserved in the mare ovary. Reprod Fertil Dev 2019; 30:624-633. [PMID: 28945982 DOI: 10.1071/rd17024] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2017] [Accepted: 09/03/2017] [Indexed: 01/02/2023] Open
Abstract
The mare ovary is unique in its anatomical structure; however, the signalling pathways responsible for physiological processes, such as follicular activation, remain uncharacterised. This provided us with the impetus to explore whether signalling molecules from important folliculogenesis pathways, phosphoinositide 3-kinase/protein kinase B (PI3K/AKT) and Janus kinase/signal transducer and activator of transcription (JAK/STAT), are conserved in the mare ovary. Messenger RNA expression of six genes important in follicle development was measured using quantitative polymerase chain reaction and protein localisation of key pathway members (PI3K, AKT1, phosphatase and tensin homologue (PTEN), JAK1, STAT3 and suppressor of cytokine signalling 4 (SOCS4)) was compared in tissue from fetal and adult mare ovaries. Tissue from adult ovaries exhibited significantly increased levels of mRNA expression of PI3K, AKT1, PTEN, JAK1, STAT3 and SOCS4 compared with tissue from fetal ovaries. PI3K, AKT1, JAK1 and STAT3 demonstrated redistributed localisation, from pregranulosa cells in fetal development, to both the oocyte and granulosa cells of follicles in the adult ovary, whilst negative feedback molecules PTEN and SOCS4 were only localised to the granulosa cells in the adult ovary. These findings suggest that the PI3K/AKT and JAK/STAT signalling pathways are utilised during folliculogenesis in the mare, similarly to previously studied mammalian species, and may serve as useful biomarkers for assessment of ovary development in the horse.
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Affiliation(s)
- Sally E Hall
- Priority Research Centre for Reproductive Science, School of Environmental and Life Sciences, Life Sciences Building, University of Newcastle, Callaghan, NSW 2308, Australia
| | - Rose M O Upton
- Priority Research Centre for Reproductive Science, School of Environmental and Life Sciences, Life Sciences Building, University of Newcastle, Callaghan, NSW 2308, Australia
| | - Eileen A McLaughlin
- Priority Research Centre for Reproductive Science, School of Environmental and Life Sciences, Life Sciences Building, University of Newcastle, Callaghan, NSW 2308, Australia
| | - Jessie M Sutherland
- Priority Research Centre for Reproductive Science, School of Environmental and Life Sciences, Life Sciences Building, University of Newcastle, Callaghan, NSW 2308, Australia
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