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Gao QY, Li B, Qu SQ, Pan LJ, Jiao M, Zhao JY, Xu ZF, Xiao ZJ, Qin TJ. [Efficacy and safety analysis of venetoclax combined with hypomethylating agents for the treatment of higher-risk myelodysplastic syndromes in the real world]. Zhonghua Xue Ye Xue Za Zhi 2024; 45:156-162. [PMID: 38604792 DOI: 10.3760/cma.j.cn121090-20230926-00136] [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] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/13/2024]
Abstract
Objective: To investigate the efficacy and safety of combining venetoclax (VEN) with hypomethylated drugs (HMA) in the treatment of higher-risk (IPSS-R score >3.5) myelodysplastic syndromes (MDS) . Methods: From March 2021 to December 2022, forty-five MDS patients with intermediate and high risk were treated with VEN in combination with HMAs. Clinical data were collected and analyzed retrospectively, including gender, age, MDS subtype, IPSS-R score, treatment regimen, and efficacy, etc. Kaplan-Meier method and Cox regression model were used to analyze univariate and multivariate of survival prognosis. Results: ①Forty-five patients with MDS, including ninety-one percent were classified as high or very high risk. According to the 2023 consensus proposal for revised International Working Group response criteria for higher-risk MDS, the overall response rate (ORR) was 62.2% (28/45), with the complete response rate (CR) was 33.3% (15/45). For twenty-five naïve MDS, the ORR was 68% (17/25) and the CR rate was 32% (8/25). In nonfirst-line patients, the ORR and CR were 55% (11/20) and 35% (7/20) respectively. The median cycle to best response was 1 (1-4). ②With a median followup of 189 days, the median overall survival (OS) time was 499 (95% confidence interval, 287-711) days, and most patients died from disease progression. Responders had a significantly better median OS time than nonresponders (499 days vs 228 days, P<0.001). Multifactor analysis revealed that IPSS-R score and response to treatment were independent prognostic factors for OS; the presence of SETBP1 gene mutations was associated with a longer hospital stay (51.5 days vs 27 days, P=0.017) . Conclusions: There is clinical benefit of venetoclax in combination with hypomethylated agents in patients with higher-risk MDS, but adverse events such as severe hypocytopenia during treatment should be avoided.
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Affiliation(s)
- Q Y Gao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - B Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - S Q Qu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - L J Pan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - M Jiao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - J Y Zhao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Z F Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Z J Xiao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - T J Qin
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
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Qu SQ, Pan LJ, Qin TJ, Xu ZF, Li B, Wang HJ, Sun Q, Jia YJ, Li CW, Cai WY, Gao QY, Jiao M, Xiao ZJ. [Molecular features of 109 patients with chronic myelomonocytic leukemia in a single center]. Zhonghua Xue Ye Xue Za Zhi 2023; 44:373-379. [PMID: 37550186 PMCID: PMC10440619 DOI: 10.3760/cma.j.issn.0253-2727.2023.05.004] [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] [Grants] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Indexed: 08/09/2023]
Abstract
Objective: To explore the molecular features of chronic myelomonocytic leukemia (CMML) . Methods: According to 2022 World Health Organization (WHO 2022) classification, 113 CMML patients and 840 myelodysplastic syndrome (MDS) patients from March 2016 to October 2021 were reclassified, and the clinical and molecular features of CMML patients were analyzed. Results: Among 113 CMML patients, 23 (20.4%) were re-diagnosed as acute myeloid leukemia (AML), including 18 AML with NPM1 mutation, 3 AML with KMT2A rearrangement, and 2 AML with MECOM rearrangement. The remaining 90 patients met the WHO 2022 CMML criteria. In addition, 19 of 840 (2.3%) MDS patients met the WHO 2022 CMML criteria. At least one gene mutation was detected in 99% of CMML patients, and the median number of mutations was 4. The genes with mutation frequency ≥ 10% were: ASXL1 (48%), NRAS (34%), RUNX1 (33%), TET2 (28%), U2AF1 (23%), SRSF2 (21.1%), SETBP1 (20%), KRAS (17%), CBL (15.6%) and DNMT3A (11%). Paired analysis showed that SRSF2 was frequently co-mutated with ASXL1 (OR=4.129, 95% CI 1.481-11.510, Q=0.007) and TET2 (OR=5.276, 95% CI 1.979-14.065, Q=0.001). SRSF2 and TET2 frequently occurred in elderly (≥60 years) patients with myeloproliferative CMML (MP-CMML). U2AF1 mutations were often mutually exclusive with TET2 (OR=0.174, 95% CI 0.038-0.791, Q=0.024), and were common in younger (<60 years) patients with myelodysplastic CMML (MD-CMML). Compared with patients with absolute monocyte count (AMoC) ≥1×10(9)/L and <1×10(9)/L, the former had a higher median age of onset (60 years old vs 47 years old, P<0.001), white blood cell count (15.9×10(9)/L vs 4.4×10(9)/L, P<0.001), proportion of monocytes (21.5% vs 15%, P=0.001), and hemoglobin level (86 g/L vs 74 g/L, P=0.014). TET2 mutations (P=0.021) and SRSF2 mutations (P=0.011) were more common in patients with AMoC≥1×10(9)/L, whereas U2AF1 mutations (P<0.001) were more common in patients with AMoC<1×10(9)/L. There was no significant difference in the frequency of other gene mutations between the two groups. Conclusion: According to WHO 2022 classification, nearly 20% of CMML patients had AMoC<1×10(9)/L at the time of diagnosis, and MD-CMML and MP-CMML had different molecular features.
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Affiliation(s)
- S Q Qu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - L J Pan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - T J Qin
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Z F Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - B Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - H J Wang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Q Sun
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Y J Jia
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - C W Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - W Y Cai
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Q Y Gao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - M Jiao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Z J Xiao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
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Li Y, Xiong YZ, Fan HH, Jing LP, Li JP, Lin QS, Xu CH, Li Y, Ye L, Jiao M, Yang Y, Li Y, Yang WR, Peng GX, Zhou K, Zhao X, Zhang L, Zhang FK. [Metagenomic next-generation sequencing of plasma for the identification of bloodstream infectious pathogens in severe aplastic anemia]. Zhonghua Xue Ye Xue Za Zhi 2023; 44:236-241. [PMID: 37356986 PMCID: PMC10119722 DOI: 10.3760/cma.j.issn.0253-2727.2023.03.010] [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] [Grants] [Subscribe] [Scholar Register] [Received: 06/04/2022] [Indexed: 06/27/2023]
Abstract
Objective: To analyze the diagnostic value of cell-free plasma metagenomic next-generation sequencing (mNGS) pathogen identification for severe aplastic anemia (SAA) bloodstream infection. Methods: From February 2021 to February 2022, mNGS and conventional detection methods (blood culture, etc.) were used to detect 33 samples from 29 consecutive AA patients admitted to the Anemia Diagnosis and Treatment Center of the Hematology Hospital of the Chinese Academy of Medical Sciences to assess the diagnostic consistency of mNGS and conventional detection, as well as the impact on clinical treatment benefits and clinical accuracy. Results: ①Among the 33 samples evaluated by mNGS and conventional detection methods, 25 cases (75.76%) carried potential pathogenic microorganisms. A total of 72 pathogenic microorganisms were identified from all cases, of which 65 (90.28%) were detected only by mNGS. ②All 33 cases were evaluated for diagnostic consistency, of which 2 cases (6.06%) were Composite, 18 cases (54.55%) were mNGS only, 2 cases (6.06%) were Conventional method only, 1 case (3.03%) was both common compliances (mNGS/Conventional testing) , and 10 cases (30.3%) were completely non-conforming (None) . ③All 33 cases were evaluated for clinical treatment benefit. Among them, 8 cases (24.24%) received Initiation of targeted treatment, 1 case (3.03%) received Treatment de-escalation, 13 cases (39.39%) received Confirmation, and the remaining 11 cases (33.33%) received No clinical benefit. ④ The sensitivity of 80.77%, specificity of 70.00%, positive predictive value of 63.64%, negative predictive value of 84.85%, positive likelihood ratio of 2.692, and negative likelihood ratio of 0.275 distinguished mNGS from conventional detection methods (21/12 vs 5/28, P<0.001) . Conclusion: mNGS can not only contribute to accurately diagnosing bloodstream infection in patients with aplastic anemia, but can also help to guide accurate anti-infection treatment, and the clinical accuracy is high.
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Affiliation(s)
- Y Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Y Z Xiong
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - H H Fan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - L P Jing
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - J P Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Q S Lin
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - C H Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Microbiology Laboratory Tianjin Union Precision Medical Diagnostic Co., Ltd, Tianjin 301617, China
| | - Y Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - L Ye
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - M Jiao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Y Yang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Y Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - W R Yang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - G X Peng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - K Zhou
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - X Zhao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - L Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - F K Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
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Wan G, DeSimone M, Liu F, Nguyen N, Leung B, Choi M, Bruce A, Stagner A, Lian C, Russell-Goldman E, Jiao M, Zhen D, Zhao J, Gil J, Németh I, Marko-Varga G, Kwatra S, Yu K, Semenov Y. 649 CNN-based histopathology image analysis for early-stage melanoma recurrence. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.05.660] [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: 10/17/2022]
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Qi M, Jiao M, Li X, Hu J, Wang L, Zou Y, Zhao M, Zhang R, Liu H, Mi J, Zhang L, Liu L, Gong Y, Han B. Correction: CUL4B promotes gastric cancer invasion and metastasis-involvement of upregulation of HER2. Oncogene 2021; 40:6140-6141. [PMID: 34584220 DOI: 10.1038/s41388-021-01995-z] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- M Qi
- Key Laboratory for Experimental Teratology of the Ministry of Education and Department of Pathology, Shandong University QiLu Medical College, School of Basic Medical Sciences, Jinan, Shandong, China.,Department of Pathology, Shandong University Qilu hospital, Jinan, China
| | - M Jiao
- Key Laboratory for Experimental Teratology of the Ministry of Education and Department of Pathology, Shandong University QiLu Medical College, School of Basic Medical Sciences, Jinan, Shandong, China
| | - X Li
- Key Laboratory for Experimental Teratology of the Ministry of Education and Department of Pathology, Shandong University QiLu Medical College, School of Basic Medical Sciences, Jinan, Shandong, China.,Department of Pathology, Binzhou People's Hospital, Binzhou, China
| | - J Hu
- Key Laboratory for Experimental Teratology of the Ministry of Education and Department of Pathology, Shandong University QiLu Medical College, School of Basic Medical Sciences, Jinan, Shandong, China
| | - L Wang
- Research Center for Medicinal Biotechnology, Key Laboratory for Rare and Uncommon Diseases of Shandong Province, Shandong Academy of Medicinal Sciences, Jinan, China
| | - Y Zou
- The Key Laboratory of Experimental Teratology, Ministry of Education and Department of Molecular Medicine and Genetics, Shandong University QiLu Medical College, School of Basic Medical Sciences, Jinan, China
| | - M Zhao
- Key Laboratory for Experimental Teratology of the Ministry of Education and Department of Pathology, Shandong University QiLu Medical College, School of Basic Medical Sciences, Jinan, Shandong, China.,Department of Pathology, Affiliated Hospital of Binzhou Medical College, Binzhou, China
| | - R Zhang
- Key Laboratory for Experimental Teratology of the Ministry of Education and Department of Pathology, Shandong University QiLu Medical College, School of Basic Medical Sciences, Jinan, Shandong, China.,Department of Pathology, Xintai Traditional Chinese Medicine Hospital, Taian, China
| | - H Liu
- Key Laboratory for Experimental Teratology of the Ministry of Education and Department of Pathology, Shandong University QiLu Medical College, School of Basic Medical Sciences, Jinan, Shandong, China
| | - J Mi
- The Key Laboratory of Experimental Teratology, Ministry of Education and Department of Molecular Medicine and Genetics, Shandong University QiLu Medical College, School of Basic Medical Sciences, Jinan, China
| | - L Zhang
- Key Laboratory for Experimental Teratology of the Ministry of Education and Department of Pathology, Shandong University QiLu Medical College, School of Basic Medical Sciences, Jinan, Shandong, China
| | - L Liu
- Department of Pathology, Shandong University Qilu hospital, Jinan, China
| | - Y Gong
- The Key Laboratory of Experimental Teratology, Ministry of Education and Department of Molecular Medicine and Genetics, Shandong University QiLu Medical College, School of Basic Medical Sciences, Jinan, China
| | - B Han
- Key Laboratory for Experimental Teratology of the Ministry of Education and Department of Pathology, Shandong University QiLu Medical College, School of Basic Medical Sciences, Jinan, Shandong, China. .,Department of Pathology, Shandong University Qilu hospital, Jinan, China.
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Huang H, Wu J, Qin T, Xu Z, Qu S, Pan L, Cai W, Liu J, Wang H, Sun Q, Jiao M, Gao Q, Gale R, Xiao Z. Topic: AS01-Diagnosis/AS01c-Molecular aberrations (cytogenetic, genetic, gene expression). Leuk Res 2021. [DOI: 10.1016/j.leukres.2021.106679.7] [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: 10/20/2022]
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Hu Y, Zhang Q, Cui J, Liao ZJ, Jiao M, Zhang YB, Guo YH, Gao YM. Oncogene miR-934 promotes ovarian cancer cell proliferation and inhibits cell apoptosis through targeting BRMS1L. Eur Rev Med Pharmacol Sci 2020; 23:5595-5602. [PMID: 31298311 DOI: 10.26355/eurrev_201907_18293] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE Ovarian cancer is a common malignant cancer among women. Increasing studies have demonstrated that microRNAs function as important regulation factors in the progression of ovarian cancer. MATERIALS AND METHODS Human ovarian cancer cell lines HO8910 and OVCAR-3 were transfected with miR-934 inhibitor and corresponding negative control (inhibitor control). Cell proliferation and apoptosis were detected by cell counting kit-8 (CCK-8) and TUNEL assay, respectively. The expression levels of proliferation/apoptosis-related genes and BRMS1L were measured by quantitative Real Time-Polymerase Chain Reaction (qRT-PCR) and Western blotting. Furthermore, the association between miR-934 and BRMS1L was investigated through luciferase reporter assays. RESULTS MiR-934 was significantly increased in ovarian cancer cell lines, whereas BRMS1L was significantly decreased. Downregulated miR-934 remarkably inhibited cell proliferation and induced cell apoptosis. Meanwhile, miR-934 could influence the expression levels of Ki67, Cyclin D1, Caspase3, and Bcl-2. In addition, BRMS1L was identified as a target gene of miR-934. CONCLUSIONS Oncogene miR-934 promotes ovarian cancer cell proliferation and inhibits cell apoptosis through targeting BRMS1L. MiR-934 and BRMS1L may be novel biomarkers or therapeutic targets for ovarian cancer in the future.
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Affiliation(s)
- Y Hu
- Department of Gynecological Oncology, Shaanxi Provincial Tumor Hospital, Xi'an, China.
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Mu Y, Jiang C, Jiao M, Zhao Y, Lv J, Liu Z. Effect of the acrosome reaction on the efficiency of sperm-mediated DNA transfer. Pol J Vet Sci 2019; 21:755-762. [PMID: 30605270 DOI: 10.24425/pjvs.2018.125588] [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] [Indexed: 11/12/2022]
Abstract
Sperm-mediated gene transfer (SMGT) is based on the ability of spermatozoa to bind exoge- nous DNA and transfer it into oocytes by fertilization. However, SMGT is still undergoing opti- mization to improve its efficiency to produce transgenic animals. The acrosome reaction is neces- sary for spermatozoa to carry the exogenous DNA into oocytes. In this study, the effect of the acrosome reaction on the efficiency of spermatozoa carrying exogenous DNA was evalua- ted. The results showed that the efficiency of the acrosome reaction was significantly higher (p⟨0.05) after incubation with 50 μmol/L progesterone compared to incubation without proges- terone. It was significantly higher (p⟨0.05) in the 20, 40, and 60 min of progesterone treatment groups than in the 0 min treatment group. The spermatozoa were further incubated with cyanine dye Cy5 labeled DNA (Cy5-DNA) for 30 min at 37°C, and positive fluorescence signals were detected after the acrosome reaction was induced by progesterone at concentrations of 0 and 50 μmol/L for 40 min. The percentage of positive Cy5-DNA signals in spermatozoa was 96.61±2.06% and 97.51±2.03% following exposure to 0 and 50 μmol/L progesterone, respective- ly. The percentage of partial spermatozoa heads observed following combination with Cy5-DNA was 39.73±3.03% and 56.88±3.12% following exposure to 0 and 50 μmol/L progesterone, respec- tively. The ratio of positively stained spermatozoa combined with exogenous DNA showed no reduction after the acrosome reaction. These results suggest that the acrosome reaction might not be the key factor affecting the efficiency of SMGT.
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Affiliation(s)
- Y Mu
- Key Laboratory of Animal Cellular and Genetic Engineering of Heilongjiang Province, Northeast Agricultural University, 49 Mucai Street, Harbin, China
| | - C Jiang
- Key Laboratory of Animal Cellular and Genetic Engineering of Heilongjiang Province, Northeast Agricultural University, 49 Mucai Street, Harbin, China
| | - M Jiao
- Key Laboratory of Animal Cellular and Genetic Engineering of Heilongjiang Province, Northeast Agricultural University, 49 Mucai Street, Harbin, China
| | - Y Zhao
- Key Laboratory of Animal Cellular and Genetic Engineering of Heilongjiang Province, Northeast Agricultural University, 49 Mucai Street, Harbin, China
| | - J Lv
- Key Laboratory of Animal Cellular and Genetic Engineering of Heilongjiang Province, Northeast Agricultural University, 49 Mucai Street, Harbin, China
| | - Z Liu
- Key Laboratory of Animal Cellular and Genetic Engineering of Heilongjiang Province, Northeast Agricultural University, 49 Mucai Street, Harbin, China
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Mu Y, Jiao M, Zhao Y, Lv J, Wang J, Hao J, Zhang X, Kong Q, Liu Z. A method for tracing exogenous DNA uptake in live spermatozoa and embryos. Pol J Vet Sci 2018; 21:193-202. [PMID: 29624004 DOI: 10.24425/119038] [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] [Indexed: 11/12/2022]
Abstract
Sperm-mediated gene transfer(SMGT) is a simple method for producing transgenic animals. Due to the lack of repeatability in spermatozoa binding and internalization of exogenous DNA, the efficiency of SMGT is still low. Considering this point, the present work aims to develop a method for evaluating the spermatozoa capacity of binding exogenous DNA after co-incubation with DNA. The main approach is using a Cy5-labelled DNA to trace the exogenous DNA and assess the ability of spermatozoa to take up exogenous DNA. Using this technique, we found that the percentage of spermatozoa that are binding and uptaking DNA is higher at concentration of 10 μg/mL and 100 μg/mL than 5 μg/mL, 1 μg/mL and 0 μg/mL after incubation with Cy5-DNA for 30min at 37oC. After fertilization, the DNA fluorescence signal was also detected in zygotes in groups where spermatozoa were incubated with 10 μg/mL and 100 μg/mL of Cy5-DNA. These results showed a simple and convenient method to trace the exogenous DNA in spermatozoa and zygote when compared to conventional methods of labeling DNA during fertilization, resulting in a real-time observation of the exogenous DNA in spermatozoa and zygote.
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Affiliation(s)
- Y Mu
- Key Laboratory of Animal Cellular and Genetic Engineering of Heilongjiang Province, Northeast Agricultural University, 49 Mucai Street, Harbin, China
| | - M Jiao
- Key Laboratory of Animal Cellular and Genetic Engineering of Heilongjiang Province, Northeast Agricultural University, 49 Mucai Street, Harbin, China
| | - Y Zhao
- Key Laboratory of Animal Cellular and Genetic Engineering of Heilongjiang Province, Northeast Agricultural University, 49 Mucai Street, Harbin, China
| | - J Lv
- Key Laboratory of Animal Cellular and Genetic Engineering of Heilongjiang Province, Northeast Agricultural University, 49 Mucai Street, Harbin, China
| | - J Wang
- Key Laboratory of Animal Cellular and Genetic Engineering of Heilongjiang Province, Northeast Agricultural University, 49 Mucai Street, Harbin, China
| | - J Hao
- Key Laboratory of Animal Cellular and Genetic Engineering of Heilongjiang Province, Northeast Agricultural University, 49 Mucai Street, Harbin, China
| | - X Zhang
- Key Laboratory of Animal Cellular and Genetic Engineering of Heilongjiang Province, Northeast Agricultural University, 49 Mucai Street, Harbin, China
| | - Q Kong
- Key Laboratory of Animal Cellular and Genetic Engineering of Heilongjiang Province, Northeast Agricultural University, 49 Mucai Street, Harbin, China
| | - Z Liu
- Key Laboratory of Animal Cellular and Genetic Engineering of Heilongjiang Province, Northeast Agricultural University, 49 Mucai Street, Harbin, China
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Jiao M, Hall AE, Nolte L, Piper A, Lisy K, Jefford M. A rapid review of needs assessment tools for post-treatment cancer survivors. Eur J Cancer Care (Engl) 2017; 27:e12764. [PMID: 28921739 DOI: 10.1111/ecc.12764] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/03/2017] [Indexed: 11/27/2022]
Abstract
Relevant, comprehensive and psychometrically rigorous needs assessment tools are needed to ensure appropriate care is delivered to cancer survivors who have completed treatment. The aim of this rapid review was to identify and describe needs assessment tools that are used in cancer survivors post-treatment, assess their psychometric properties and describe their use in clinical care. The electronic databases Medline, Cochrane Library, CINAHL and PsycINFO were searched. Six studies were identified that described five needs assessment tools used in cancer survivors post-treatment. None of these tools covered all domains of unmet need nor demonstrated adequate evidence of all recommended criteria of validity and reliability. Few had been evaluated for use in a clinical environment. Out of the five tools, the Survivor Unmet Needs Survey (SUNS) showed the strongest psychometric properties. There is little empirical evidence available to guide recommendations on the most appropriate process of conducting needs assessment with cancer survivors once they have completed treatment.
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Affiliation(s)
- M Jiao
- Australian Cancer Survivorship Centre, A Richard Pratt legacy, Victorian Comprehensive Cancer Centre, Melbourne, Vict., Australia.,Pharmacy Department, Victorian Comprehensive Cancer Centre, Melbourne, Vict., Australia
| | - A E Hall
- Priority Research Centre for Health Behaviour, Faculty of Health, The University of Newcastle, Callaghan, NSW, Australia.,Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
| | - L Nolte
- The Advance Care Planning Department, Austin Health, Heidelberg, Vict., Australia
| | - A Piper
- Australian Cancer Survivorship Centre, A Richard Pratt legacy, Victorian Comprehensive Cancer Centre, Melbourne, Vict., Australia
| | - K Lisy
- Department of Cancer Experiences Research, Victorian Comprehensive Cancer Centre, Melbourne, Vict., Australia
| | - M Jefford
- Australian Cancer Survivorship Centre, A Richard Pratt legacy, Victorian Comprehensive Cancer Centre, Melbourne, Vict., Australia.,Department of Cancer Experiences Research, Victorian Comprehensive Cancer Centre, Melbourne, Vict., Australia.,Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Vict., Australia
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Abstract
We investigated the distribution of human leukocyte antigen (HLA)-B27 subtypes in Uygur ankylosing spondylitis patients in Xinjiang. B27-positive patients with ankylosing spondylitis were subtyped by using polymerase chain reaction-sequence-based typing. The HLA-B27 subtype frequencies of Uygur patients were compared with those in Han patients in Xinjiang and the other areas of China. B*2705 was the predominant subtype in Uygur patients with a frequency of 58.95%, which was much higher than that in Han patients in Xinjiang (31.58%, P < 0.05) and the other areas of China (excluding the Shandong region, which was 63.89%). The frequency of B*2704 (27.37%) in Uygur patients was the lowest and significantly lower than that in Han patients (61.18%, P < 0.05) and in 8 other areas of China. B*2710 has not been previously reported in Uygur ankylosing spondylitis patients; B*2704 was the main (61.18%) subtype in Han patients in Xinjiang, followed by B*2705 (31.58%) and was similar to the characteristics of Han patients in the other areas of China. B*2724 in Han ankylosing spondylitis patients has not been previously reported. Additionally, the B*2702/B*2705 homozygote was identified in Uygur patients. B*2702/B*2704, B*2704/B*2705, and B*2705/B*2705 homozygotes were identified in 3 Han patients. The distribution of HLAB27 subtypes in Uygur ankylosing spondylitis patients in Xinjiang significantly differed from that in Han patients. Understanding the distribution of HLAB27 subtypes in ethnic minority populations of Xinjiang is important for anthropological genetic studies and for analyzing the impact of genetic background on ankylosing spondylitis susceptibility.
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Affiliation(s)
- H-Y Zou
- Institute of Clinical Medicine, Urumqi General Hospital, Lanzhou Military Area Command, Urumqi, Xinjiang, China
| | - W-Z Yu
- Institute of Clinical Medicine, Urumqi General Hospital, Lanzhou Military Area Command, Urumqi, Xinjiang, China
| | - Z Wang
- Institute of Clinical Medicine, Urumqi General Hospital, Lanzhou Military Area Command, Urumqi, Xinjiang, China
| | - J He
- Institute of Clinical Medicine, Urumqi General Hospital, Lanzhou Military Area Command, Urumqi, Xinjiang, China
| | - M Jiao
- Institute of Clinical Medicine, Urumqi General Hospital, Lanzhou Military Area Command, Urumqi, Xinjiang, China
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13
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Jiao M, Ren F, Zhou L, Zhang X, Zhang L, Wen T, Wei L, Wang X, Shi H, Bai L, Zhang X, Zheng S, Zhang J, Chen Y, Han Y, Zhao C, Duan Z. Peroxisome proliferator-activated receptor α activation attenuates the inflammatory response to protect the liver from acute failure by promoting the autophagy pathway. Cell Death Dis 2014; 5:e1397. [PMID: 25165883 PMCID: PMC4454331 DOI: 10.1038/cddis.2014.361] [Citation(s) in RCA: 78] [Impact Index Per Article: 7.8] [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: 12/21/2013] [Revised: 07/19/2014] [Accepted: 07/21/2014] [Indexed: 12/11/2022]
Abstract
Peroxisome proliferator-activated receptor α (PPARα) has been reported to induce a potent anti-inflammatory response. Autophagy is a recently recognized rudimentary cellular response to inflammation and injury. The aim of the present study was to test the hypothesis that PPARα activation mediates autophagy to inhibit liver inflammation and protect against acute liver failure (ALF). PPARα expression during ALF and the impact of PPARα activation by Wy-14 643 on the hepatic immune response were studied in a D-galactosamine/lipopolysaccharide-induced mouse model. Autophagy was inhibited by 3-methyladenine or small interfering RNA (siRNA) against Atg7. In both the mouse model and human ALF subjects, PPARα was significantly downregulated in the injured liver. PPARα activation by pretreatment with Wy-14 643 protected against liver injury in mice. The protective effect of PPARα activation relied on the suppression of inflammatory mechanisms through the induction of autophagy. This hypothesis is supported by the following evidence: first, PPARα activation suppressed proinflammatory responses and inhibited phosphorylated NF-κBp65, phosphorylated JNK and phosphorylated ERK pathways in vivo. Second, protection by PPARα activation was due to the induction of autophagy because inhibition of autophagy by 3-methyladenine or Atg7 siRNA reversed liver protection and inflammation. Third, PPARα activation directly induced autophagy in primary macrophages in vitro, which protected cells from a lipopolysaccharide-induced proinflammatory response. Here, for the first time, we have demonstrated that PPARα-mediated induction of autophagy ameliorated liver injury in cases of ALF by attenuating inflammatory responses, indicating a potential therapeutic application for ALF treatment.
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Affiliation(s)
- M Jiao
- Department of Infectious Diseases, The Third Affiliated Hospital of Hebei Medical University, Shijiazhuang, China
- Beijing Artificial Liver Treatment and Training Center, Beijing YouAn Hospital, Capital Medical University, Beijing, China
| | - F Ren
- Beijing Artificial Liver Treatment and Training Center, Beijing YouAn Hospital, Capital Medical University, Beijing, China
- Beijing Institute of Hepatology, Beijing YouAn Hospital, Capital Medical University, Beijing, China
| | - L Zhou
- Beijing Artificial Liver Treatment and Training Center, Beijing YouAn Hospital, Capital Medical University, Beijing, China
| | - X Zhang
- Beijing Institute of Hepatology, Beijing YouAn Hospital, Capital Medical University, Beijing, China
| | - L Zhang
- Department of Infectious Diseases, The Third Affiliated Hospital of Hebei Medical University, Shijiazhuang, China
| | - T Wen
- Beijing Institute of Hepatology, Beijing YouAn Hospital, Capital Medical University, Beijing, China
| | - L Wei
- Beijing Artificial Liver Treatment and Training Center, Beijing YouAn Hospital, Capital Medical University, Beijing, China
| | - X Wang
- Department of Pathology, Beijing YouAn Hospital, Capital Medical University, Beijing, China
| | - H Shi
- Beijing Institute of Hepatology, Beijing YouAn Hospital, Capital Medical University, Beijing, China
| | - L Bai
- Beijing Artificial Liver Treatment and Training Center, Beijing YouAn Hospital, Capital Medical University, Beijing, China
| | - X Zhang
- Beijing Artificial Liver Treatment and Training Center, Beijing YouAn Hospital, Capital Medical University, Beijing, China
| | - S Zheng
- Beijing Artificial Liver Treatment and Training Center, Beijing YouAn Hospital, Capital Medical University, Beijing, China
| | - J Zhang
- Beijing Artificial Liver Treatment and Training Center, Beijing YouAn Hospital, Capital Medical University, Beijing, China
| | - Y Chen
- Beijing Artificial Liver Treatment and Training Center, Beijing YouAn Hospital, Capital Medical University, Beijing, China
| | - Y Han
- Sichuan University, The College of Life Sciences, Chengdu, China
| | - C Zhao
- Department of Infectious Diseases, The Third Affiliated Hospital of Hebei Medical University, Shijiazhuang, China
| | - Z Duan
- Beijing Artificial Liver Treatment and Training Center, Beijing YouAn Hospital, Capital Medical University, Beijing, China
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14
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Zou HY, Yu WZ, Zhang Q, Yang HC, Huang HY, Jiao M. Preliminary study of the clonal characteristics of the TCR BV subfamilies in T cells in the peripheral blood from patients with uveitis. Genet Mol Res 2014; 13:1296-303. [DOI: 10.4238/2014.february.28.1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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15
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Tao W, Jiao M, He J, He M, Hao S. Structures of nucleolus and transcription sites of rRNA genes in rat liver cells. Sci China C Life Sci 2000; 43:302-309. [PMID: 18726386 DOI: 10.1007/bf02879290] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/1999] [Indexed: 05/26/2023]
Abstract
We observed the ultrastructure of nucleolus in rat liver cells by conventional electron microscopy, and employed cytochemistry NAMA-Ur DNA specific stain method to analyze the distribution and position of nucleolar DNAin situ. The results showed that nucleolar DNA of rat liver cells comes from nucleolus-associated chromatin, and continuously extends in the dense fibrillar component (DFC) of nucleolus, localizes at the periphery of fibrillar center (FC) and in DFC. Furthermore, by employing anti-DNA/RNA hybrid antibodies, we directly and selectively labeled transcription sites of rRNA genes and testified that localization of transcription sites not only to DFC but also to the periphery of FC.
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Affiliation(s)
- W Tao
- Institute of Genetics and Cytology, Northeast Normal University, 130024, Changchun, China
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Jiao M, Zeng X, Wang X, Hao S. [Immunocytochemical identification of tropomyosin in nucleoli and nucleolar matrix of Physarum polycephalum]. Wei Sheng Wu Xue Bao 1999; 39:402-7. [PMID: 12555520] [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: 02/28/2023]
Abstract
Nucleoli were isolated from physarum polycephalum, and nucleolar matrix was prepared by digesting the nucleoli respectively with DNase 1, 0.25 mol/L (NH4)2SO4 and 2 mol/L NaCl to remove DNA and most proteins. SDS-PAGE analysis indicated that there were about 20 polypeptides in nucleolar matrix component, including the 37 kD polypeptide which was similar to tropomyosin in molecular weight. The result of indirect immunofluorescence treated with anti-tropomyosin antibody and sheep anti-rabbit IgG antibody labelled with FITC showed that bright fluorescence was observed in the nucleoli and nucleolar matrix, but no bright fluorescence in the controls. Indirect Immunoblotting detection further verified that tropomyosin existed in nucleolar matrix. Protein A-colloidal gold immunoelectron microscopic study showed that there were many gold particles in the specimens labelled with tropomyosin antibody, and there were few gold particles found in the controls. Tropomyosin distributed dispersedly in nucleoli.
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Affiliation(s)
- M Jiao
- Institute of Genetics and Cytology, Northeast Normal University, Changchun 130024
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17
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Abstract
This paper studies the process and features of chromosome construction in mitotic prophase cells of Allium cepa. The results showed that a prominent reorganization of chromatin occurred during G2--early prophase. The 250-400 nm thick compact chromatin threads in G2 nuclei began to disorganize into about 30, 100 and 220 nm chromatin fibres which constituted the loosely organized chromosome outlines in early prophase before chromosome condensation. In middle prophase, chromosome condensation was characterized by the formation of many condensed regions (aggregates of chromatin), which increased in size (1-1.5 microns) when prophase proceeded. Meanwhile, the chromatin threads that constituted and connected the condensed regions became increasingly thicker (120-250 nm). In late prophase adjacent condensed regions fused to form cylinder-shaped chromosomes. Based on these observations, we come to the conclusion that the construction of prophase chromosomes is a two-step process, that is, the reorganization and condensation of chromatin. In addition, we report the study of silver-stained, DNA- and histone-depleted prophase chromosomes, describe morphological features of the non-histone protein (NHP) residue in early, middle and late prophase chromosomes, and discuss the roles of NHPs in chromosome construction.
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Affiliation(s)
- S Hao
- Institute of Genetics and Cytology, Northeast Normal University, Changchun, Jilin, People's Republic of China
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