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Cite this page: Hill, M.A. (2021, May 18) Embryology China Statistics. Retrieved from https://embryology.med.unsw.edu.au/embryology/index.php/Talk:China_Statistics
10 Most Recent Papers
Note - This sub-heading shows an automated computer PubMed search using the listed sub-heading term. References appear in this list based upon the date of the actual page viewing. Therefore the list of references do not reflect any editorial selection of material based on content or relevance. In comparison, references listed on the content page and discussion page (under the publication year sub-headings) do include editorial selection based upon relevance and availability. (More? Pubmed Most Recent)
<pubmed limit=5>China Embryology</pubmed>
Comparative Analysis of Macaque and Human Sperm Proteomes: Insights into Sperm Competition
Proteomics. 2014 Dec 24. doi: 10.1002/pmic.201400248. [Epub ahead of print]
Zhou T1, Wang G, Chen M, Zhang M, Guo Y, Yu C, Zhou Z, Si W, Sha J, Guo X.
Male macaques produce faster sperm than male humans due to a higher pressure of sperm competition in macaques. To explore the molecular basis of this biological difference, we firstly constructed macaque and human sperm proteomes using liquid chromatography-tandem mass spectrometry. We then detected the positively selected genes specifically on the branch of macaque based on branch-site likelihood method. We identified 197 positively selected genes specifically on the branch of macaque which are unselected in corresponding human orthologs. These genes are highly associated with mitochondria and axoneme which directly drive sperm motility. We further compared the ultrastructural differences of the mid-piece between macaque and human sperms to provide evidence for our findings using transmission electron microscopy. In conclusion, our results provide potential molecular targets for explaining the different phenotypes under sperm competition between macaques and humans, and also provide resources for the analysis of male fertility. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved. KEYWORDS: positive selection; rhesus macaque; sperm competition; sperm motility; sperm proteome PMID 25545774
Proteomic analysis of N-glycosylation of human seminal plasma
Proteomics. 2014 Dec 5. doi: 10.1002/pmic.201400203. [Epub ahead of print]
Yang X1, Liu F, Yan Y, Zhou T, Guo Y, Sun G, Zhou Z, Zhang W, Guo X, Sha J.
Seminal plasma is a mixture of secretions from several male accessory glands. The seminal plasma contains many secreted proteins which are important for sperm function and male fertility. In this study, we employed N-linked glycosylated peptide enrichment, combined with LC-MS/MS analysis, and establish the first large scale N-linked glycoproteome of human seminal plasma. Combined with the results of five biological replicates, a total of 720 N-glycosylated sites on 372 proteins were identified. Analysis of variations among five individuals revealed similar compositions of N-glycosylated proteins in seminal plasma. The N-linked glycoproteome could help us understanding the biological functions of human seminal plasma. The data set could also be a resource for further screening of biomarkers for male diseases including cancer and infertility at the level of N-glycosylation. For example, N-glycosylated prostate-specific antigen is known to be an efficient biomarker that can distinguish benign prostate hyperplasia from prostate cancer. All MS data have been deposited in the ProteomeXchange with identifier PXD000959 (http://proteomecentral.proteomexchange.org/dataset/PXD000959). © 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. KEYWORDS: Biomarker; Glycoproteomics; Infertility; N-Glycosylation; Seminal plasma
Stat3-Efemp2a modulates the fibrillar matrix for cohesive movement of prechordal plate progenitors
Development. 2014 Nov;141(22):4332-42. doi: 10.1242/dev.104885.
Zhang T1, Yin C1, Qiao L1, Jing L1, Li H1, Xiao C1, Luo N1, Lei S2, Meng W1, Zhu H1, Liu J1, Xu H3, Mo X1.
Recently, emerging evidence has shown that Stat3 controls tumor cell migration and invasion. However, the molecular mechanisms by which Stat3 controls the cell movement remain largely unknown. Embryonic gastrula progenitors display coordinated and orientated migration, called collective cell migration. Collective cell migration is the simultaneous movement of multiple cells and is universally involved in physiological and pathological programs. Stat3 activity is required for the migration of gastrula progenitors, but it does not affect cell specification, thus suggesting that gastrula movements are an excellent model to provide insight into Stat3 control of cell migration in vivo. In this study, we reveal a novel mechanism by which Stat3 modulates extracellular matrix (ECM) assembly to control the coherence of collective migration of prechordal plate progenitors during zebrafish embryonic gastrulation. We show that Stat3 regulates the expression of Efemp2a in the prechordal plate progenitors that migrate anteriorly during gastrulation. Alteration of Stat3-Efemp2a signaling activity disrupted the configuration of fibronectin (FN) and laminin (LM) matrices, resulting in defective coherence of prechordal plate progenitor movements in zebrafish embryos. We demonstrate that Efemp2a acts as a downstream effector of Stat3 to promote ECM configuration for coherent collective cell migrations in vivo. © 2014. Published by The Company of Biologists Ltd. KEYWORDS: Collective cell migration; Extracellular matrix; Stat3-Efemp2a signaling
Stem cell science on the rise in China
Cell Stem Cell. 2012 Jan 6;10(1):12-5. doi: 10.1016/j.stem.2011.12.002.
Yuan W1, Sipp D, Wang ZZ, Deng H, Pei D, Zhou Q, Cheng T.
China's output in fundamental stem cell research has increased markedly in recent years. Vigorous public investment and infrastructure development have enabled major productivity gains, but challenges in regulation, governance, and the management of clinical expectations must be addressed to ensure scientific quality and sustainable growth. Copyright © 2012 Elsevier Inc. All rights reserved.
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