Faculty Opinions recommendation of Single cell lineage and regionalization of cell populations during Medaka neurulation.

Author(s):  
Detlev Arendt
2021 ◽  
Author(s):  
Huitian Diao ◽  
Runqiang Chen ◽  
Shanel M Tsuda ◽  
Dapeng Wang ◽  
Megan A Frederick ◽  
...  

Individual naive CD8 T cells activated in lymphoid organs differentiate into functionally diverse and anatomically distributed T cell phylogenies in response to intracellular microbes. During infections that resolve rapidily, including live viral vaccines, distinct effector (TEFF) and memory (TMEM) cell populations develop that ensure long term immunity. During chronic infections, responding cells progressively become dysfunctional and exhaust. A diverse taxonomy of TEFF, TMEM and exhausted (TEX) CD8 T cell populations is known, but the initial developmental basis of this phenotypic variation remains unclear. Here, we defined single-cell trajectories and identified chromatin regulators that establish antiviral CD8 T cell heterogeneity using unsupervised analyses of single-cell RNA dynamics and an in vivo RNAi screen. Activated naive cells differentiate linearly into uncommitted effector-memory progenitor (EMP) cells, which initially branch into an analogous manifold during either acute or chronic infection. Disparate RNA velocities in single EMP cells initiate divergence into stem, circulating, and tissue-resident memory lineages that generate diverse TMEM and TEX precursor states in specific developmental orders. Interleukin-2 receptor (IL-2R) signals are essential for formation and transcriptional heterogeneity of EMP cells, and promote trajectories toward TEFF rather than TEX states. Nucleosome remodelers Smarca4 and Chd7 differentially promote transcription that delineates divergent TMEM lineages before cooperatively driving terminal TEFF cell differentiation. Thus, the lineage architecture is established by specific chromatin regulators that stabilize diverging transcription in uncommitted progenitors.


2021 ◽  
Vol 7 (10) ◽  
pp. eabc5464
Author(s):  
Kiya W. Govek ◽  
Emma C. Troisi ◽  
Zhen Miao ◽  
Rachael G. Aubin ◽  
Steven Woodhouse ◽  
...  

Highly multiplexed immunohistochemistry (mIHC) enables the staining and quantification of dozens of antigens in a tissue section with single-cell resolution. However, annotating cell populations that differ little in the profiled antigens or for which the antibody panel does not include specific markers is challenging. To overcome this obstacle, we have developed an approach for enriching mIHC images with single-cell RNA sequencing data, building upon recent experimental procedures for augmenting single-cell transcriptomes with concurrent antigen measurements. Spatially-resolved Transcriptomics via Epitope Anchoring (STvEA) performs transcriptome-guided annotation of highly multiplexed cytometry datasets. It increases the level of detail in histological analyses by enabling the systematic annotation of nuanced cell populations, spatial patterns of transcription, and interactions between cell types. We demonstrate the utility of STvEA by uncovering the architecture of poorly characterized cell types in the murine spleen using published cytometry and mIHC data of this organ.


2018 ◽  
Vol 439 ◽  
pp. 160-165 ◽  
Author(s):  
Tanja Stadler ◽  
Stavroula Skylaki ◽  
Konstantinos D. Kokkaliaris ◽  
Timm Schroeder

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