The Human Cell Atlas bone marrow single-cell interactive web portal.
The Human Cell Atlas bone marrow single-cell interactive web portal.
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DOI：
10.1016/j.exphem.2018.09.004
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发表时间：
2018-12
影响因子：
2.6
通讯作者：
Salomonis N
中科院分区：
文献类型：
--
作者：
Hay SB;Ferchen K;Chetal K;Grimes HL;Salomonis N
人类细胞图谱（HCA）有望促进参考细胞图谱、标记基因以及基因调控网络的创建，这将使人们从临床生物样本中更深入地了解健康和疾病细胞类型。造血系统包含数十种不同的、转录上连贯的细胞类型，包括此前在分子水平上未被描述过的中间过渡群体。利用人类细胞图谱骨髓组织项目首次发布的数据，我们使用新出现的计算方法，从8名健康捐赠者的超过10万个造血细胞（涵盖35个转录上连贯的群组）中解析出常见的、罕见的以及可能的过渡细胞群体。这些数据突出了新的混合谱系祖细胞群体以及控制粒细胞、单核细胞、淋巴细胞、红细胞、巨核细胞和嗜酸性粒细胞特化的假定轨迹。我们的分析表明，捐赠者之间在细胞类型组成和基因表达上存在显著差异，包括受捐赠者年龄影响的生物过程。为了能够广泛探索这些发现，我们提供了一个交互式网站，以探究捐赠者内部和捐赠者之间的细胞内和细胞外群体差异，以及用于细胞分类和通过相关祖细胞状态的细胞轨迹的参考标记。
The Human Cell Atlas (HCA) is expected to facilitate the creation of reference cell profiles, marker genes, and gene regulatory networks that will provide a deeper understanding of healthy and disease cell types from clinical biospecimens. The hematopoietic system includes dozens of distinct, transcriptionally coherent cell types, including intermediate transitional populations that have not been previously described at a molecular level. Using the first data release from the HCA bone marrow tissue project, we resolved common, rare, and potentially transitional cell populations from over 100,000 hematopoietic cells spanning 35 transcriptionally coherent groups across eight healthy donors using emerging new computational approaches. These data highlight novel mixed-lineage progenitor populations and putative trajectories governing granulocytic, monocytic, lymphoid, erythroid, megakaryocytic, and eosinophil specification. Our analyses suggest significant variation in cell-type composition and gene expression among donors, including biological processes affected by donor age. To enable broad exploration of these findings, we provide an interactive website to probe intra-cell and extra-cell population differences within and between donors and reference markers for cellular classification and cellular trajectories through associated progenitor states.
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影响因子：
16.6
作者：
Zheng GX;Terry JM;Belgrader P;Ryvkin P;Bent ZW;Wilson R;Ziraldo SB;Wheeler TD;McDermott GP;Zhu J;Gregory MT;Shuga J;Montesclaros L;Underwood JG;Masquelier DA;Nishimura SY;Schnall-Levin M;Wyatt PW;Hindson CM;Bharadwaj R;Wong A;Ness KD;Beppu LW;Deeg HJ;McFarland C;Loeb KR;Valente WJ;Ericson NG;Stevens EA;Radich JP;Mikkelsen TS;Hindson BJ;Bielas JH
通讯作者：
Bielas JH
DOI：
10.1126/science.1251033
发表时间：
2014-09-26
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
Chen L;Kostadima M;Martens JHA;Canu G;Garcia SP;Turro E;Downes K;Macaulay IC;Bielczyk-Maczynska E;Coe S;Farrow S;Poudel P;Burden F;Jansen SBG;Astle WJ;Attwood A;Bariana T;de Bono B;Breschi A;Chambers JC;Consortium B;Choudry FA;Clarke L;Coupland P;van der Ent M;Erber WN;Jansen JH;Favier R;Fenech ME;Foad N;Freson K;van Geet C;Gomez K;Guigo R;Hampshire D;Kelly AM;Kerstens HHD;Kooner JS;Laffan M;Lentaigne C;Labalette C;Martin T;Meacham S;Mumford A;Nürnberg S;Palumbo E;van der Reijden BA;Richardson D;Sammut SJ;Slodkowicz G;Tamuri AU;Vasquez L;Voss K;Watt S;Westbury S;Flicek P;Loos R;Goldman N;Bertone P;Read RJ;Richardson S;Cvejic A;Soranzo N;Ouwehand WH;Stunnenberg HG;Frontini M;Rendon A
通讯作者：
Rendon A
影响因子：
4
作者：
Hon CC;Shin JW;Carninci P;Stubbington MJT
通讯作者：
Stubbington MJT
影响因子：
64.5
作者：
Laslo, Peter;Spooner, Chauncey J.;Singh, Harinder
通讯作者：
Singh, Harinder
DOI：
10.1084/jem.20111490
发表时间：
2011-12-19
期刊：
The Journal of experimental medicine
影响因子：
--
作者：
Dykstra B;Olthof S;Schreuder J;Ritsema M;de Haan G
通讯作者：
de Haan G