A single-cell atlas of non-haematopoietic cells in human lymph nodes and lymphoma reveals a landscape of stromal remodelling.
A single-cell atlas of non-haematopoietic cells in human lymph nodes and lymphoma reveals a landscape of stromal remodelling.
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DOI：
10.1038/s41556-022-00866-3
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发表时间：
2022-04
影响因子：
21.3
通讯作者：
中科院分区：
文献类型：
--
作者：
据报道，淋巴瘤中非造血细胞（NHC），包括间充质基质细胞和内皮细胞的活动是淋巴瘤发生的基础。然而，我们对淋巴瘤NHC的理解受到无法解释的NHC异质性的阻碍，即使在正常的人类淋巴结（LN）中也是如此。在这里，我们构建了一个单细胞转录组图谱，其中包含从27个人类样本中收集的超过100，000个NHC，包括LN和各种淋巴结淋巴瘤，它揭示了30个不同的亚群，包括一些以前未被识别的亚群。值得注意的是，该图谱可用于与淋巴瘤NHC的比较分析，其揭示了滤泡性淋巴瘤NHC中基因表达的亚群特异性变化和与恶性细胞的相互作用的意想不到的景观。这有助于我们理解淋巴瘤中的基质重塑，并突出了潜在的临床生物标志物。我们的研究在很大程度上更新了人类淋巴结中的NHC分类和疾病状态分析，并为淋巴结和淋巴瘤生物学提供了丰富的资源和更深入的见解，以推进淋巴瘤的管理和治疗。Abe等人描述、表征和比较了正常人淋巴结与患者淋巴结瘤中的非造血细胞，为健康和疾病中的基质建模提供了见解。
The activities of non-haematopoietic cells (NHCs), including mesenchymal stromal cells and endothelial cells, in lymphomas are reported to underlie lymphomagenesis. However, our understanding of lymphoma NHCs has been hampered by unexplained NHC heterogeneity, even in normal human lymph nodes (LNs). Here we constructed a single-cell transcriptome atlas of more than 100,000 NHCs collected from 27 human samples, including LNs and various nodal lymphomas, and it revealed 30 distinct subclusters, including some that were previously unrecognized. Notably, this atlas was useful for comparative analyses with lymphoma NHCs, which revealed an unanticipated landscape of subcluster-specific changes in gene expression and interaction with malignant cells in follicular lymphoma NHCs. This facilitates our understanding of stromal remodelling in lymphoma and highlights potential clinical biomarkers. Our study largely updates NHC taxonomy in human LNs and analysis of disease status, and provides a rich resource and deeper insights into LN and lymphoma biology to advance lymphoma management and therapy. Abe et al. profile, characterize and compare non-haematopoietic cells in normal human lymph nodes versus nodal lymphomas from patients, providing insights into stromal modelling in health and disease.
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影响因子：
64.5
作者：
Baryawno, Ninib;Przybylski, Dariusz;Scadden, David T.
通讯作者：
Scadden, David T.
影响因子：
16.6
作者：
Fang JS;Coon BG;Gillis N;Chen Z;Qiu J;Chittenden TW;Burt JM;Schwartz MA;Hirschi KK
通讯作者：
Hirschi KK
影响因子：
10.1
作者：
Cremasco V;Astarita JL;Grauel AL;Keerthivasan S;MacIsaac K;Woodruff MC;Wu M;Spel L;Santoro S;Amoozgar Z;Laszewski T;Migoni SC;Knoblich K;Fletcher AL;LaFleur M;Wucherpfennig KW;Pure E;Dranoff G;Carroll MC;Turley SJ
通讯作者：
Turley SJ
影响因子：
50.3
作者：
Costa, Ana;Kieffer, Yann;Mechta-Grigoriou, Fatima
通讯作者：
Mechta-Grigoriou, Fatima
影响因子：
11.4
作者：
Epron, G.;Ame-Thomas, P.;Tarte, K.
通讯作者：
Tarte, K.