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      CellMarker: a manually curated resource of cell markers in human and mouse

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          Abstract

          One of the most fundamental questions in biology is what types of cells form different tissues and organs in a functionally coordinated fashion. Larger-scale single-cell sequencing and biology experiment studies are now rapidly opening up new ways to track this question by revealing substantial cell markers for distinguishing different cell types in tissues. Here, we developed the CellMarker database ( http://biocc.hrbmu.edu.cn/CellMarker/ or http://bio-bigdata.hrbmu.edu.cn/CellMarker/), aiming to provide a comprehensive and accurate resource of cell markers for various cell types in tissues of human and mouse. By manually curating over 100 000 published papers, 4124 entries including the cell marker information, tissue type, cell type, cancer information and source, were recorded. At last, 13 605 cell markers of 467 cell types in 158 human tissues/sub-tissues and 9148 cell makers of 389 cell types in 81 mouse tissues/sub-tissues were collected and deposited in CellMarker. CellMarker provides a user-friendly interface for browsing, searching and downloading markers of diverse cell types of different tissues. Furthermore, a summarized marker prevalence in each cell type is graphically and intuitively presented through a vivid statistical graph. We believe that CellMarker is a comprehensive and valuable resource for cell researches in precisely identifying and characterizing cells, especially at the single-cell level.

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          Single-Cell RNA-Seq Reveals the Transcriptional Landscape and Heterogeneity of Aortic Macrophages in Murine Atherosclerosis

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            Challenges and emerging directions in single-cell analysis

            Single-cell analysis is a rapidly evolving approach to characterize genome-scale molecular information at the individual cell level. Development of single-cell technologies and computational methods has enabled systematic investigation of cellular heterogeneity in a wide range of tissues and cell populations, yielding fresh insights into the composition, dynamics, and regulatory mechanisms of cell states in development and disease. Despite substantial advances, significant challenges remain in the analysis, integration, and interpretation of single-cell omics data. Here, we discuss the state of the field and recent advances and look to future opportunities.
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              Chromatin and Single-Cell RNA-Seq Profiling Reveal Dynamic Signaling and Metabolic Transitions during Human Spermatogonial Stem Cell Development

              Summary Human adult spermatogonial stem cells (hSSCs) must balance self-renewal and differentiation. To understand how this is achieved, we profiled DNA methylation and open chromatin (ATAC-seq) in SSEA4+ hSSCs, analyzed bulk and single-cell RNA transcriptomes (RNA-seq) in SSEA4+ hSSCs and differentiating c-KIT+ spermatogonia, and performed validation studies via immunofluorescence. First, DNA hypomethylation at embryonic developmental genes supports their epigenetic “poising” in hSSCs for future/embryonic expression, while core pluripotency genes (OCT4 and NANOG) were transcriptionally and epigenetically repressed. Interestingly, open chromatin in hSSCs was strikingly enriched in binding sites for pioneer factors (NFYA/B, DMRT1, and hormone receptors). Remarkably, single-cell RNA-seq clustering analysis identified four cellular/developmental states during hSSC differentiation, involving major transitions in cell-cycle and transcriptional regulators, splicing and signaling factors, and glucose/mitochondria regulators. Overall, our results outline the dynamic chromatin/transcription landscape operating in hSSCs and identify crucial molecular pathways that accompany the transition from quiescence to proliferation and differentiation.
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                Author and article information

                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                08 January 2019
                05 October 2018
                05 October 2018
                : 47
                : Database issue , Database issue
                : D721-D728
                Affiliations
                [1 ]College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, China
                [2 ]Department of Neurology, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150001, China
                Author notes
                To whom correspondence should be addressed. Tel: +86 451 86615922; Fax: +86 451 86615922; Email: xiaoyun@ 123456ems.hrbmu.edu.cn . Correspondence may also be addressed to Xia Li. Email: lixia@ 123456hrbmu.edu.cn . Correspondence may also be addressed to Tingting Zhao. Email: ztt_1984@ 123456163.com

                The authors wish it to be known that, in their opinion, the first five authors should be regarded as Joint First Authors.

                Article
                gky900
                10.1093/nar/gky900
                6323899
                30289549
                946d51a3-636e-4d97-bff9-c09c9cf79e7e
                © The Author(s) 2018. Published by Oxford University Press on behalf of Nucleic Acids Research.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@ 123456oup.com

                History
                : 25 September 2018
                : 20 September 2018
                : 14 August 2018
                Page count
                Pages: 8
                Funding
                Funded by: National High Technology Research and Development Program of China
                Award ID: 2014AA021102
                Funded by: National Program on Key Basic Research
                Award ID: 2014CB910504
                Funded by: National Natural Science Foundation of China 10.13039/501100001809
                Award ID: 61473106
                Award ID: 61573122
                Award ID: 31601076
                Funded by: China Postdoctoral Science Foundation 10.13039/501100002858
                Award ID: 2016M600260
                Funded by: Harbin Medical University 10.13039/100010722
                Award ID: WLD-QN1407
                Funded by: Construction of Higher Education in Heilongjiang Province 10.13039/501100003851
                Award ID: UNPYSCT-2016049
                Funded by: Heilongjiang Postdoctoral Foundation 10.13039/100007838
                Award ID: LBHZ16098
                Categories
                Database Issue

                Genetics
                Genetics

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