Literature DB >> 33944782

Mapping single-cell atlases throughout Metazoa unravels cell type evolution.

Jacob M Musser1, Margarita Khariton2, Alexander J Tarashansky2, Pengyang Li2, Detlev Arendt1,3, Stephen R Quake2,4,5, Bo Wang2,6.   

Abstract

Comparing single-cell transcriptomic atlases from diverse organisms can elucidate the origins of cellular diversity and assist the annotation of new cell atlases. Yet, comparison between distant relatives is hindered by complex gene histories and diversifications in expression programs. Previously, we introduced the self-assembling manifold (SAM) algorithm to robustly reconstruct manifolds from single-cell data (Tarashansky et al., 2019). Here, we build on SAM to map cell atlas manifolds across species. This new method, SAMap, identifies homologous cell types with shared expression programs across distant species within phyla, even in complex examples where homologous tissues emerge from distinct germ layers. SAMap also finds many genes with more similar expression to their paralogs than their orthologs, suggesting paralog substitution may be more common in evolution than previously appreciated. Lastly, comparing species across animal phyla, spanning sponge to mouse, reveals ancient contractile and stem cell families, which may have arisen early in animal evolution.
© 2021, Tarashansky et al.

Entities:  

Keywords:  cell type evolution; computational biology; contractile cells; evolutionary biology; gene expression program; gene orthology; mouse; planarian; single-cell atlas; stem cells; systems biology; xenopus; zebrafish

Year:  2021        PMID: 33944782     DOI: 10.7554/eLife.66747

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.140


  22 in total

1.  Gene family evolution underlies cell-type diversification in the hypothalamus of teleosts.

Authors:  Maxwell E R Shafer; Ahilya N Sawh; Alexander F Schier
Journal:  Nat Ecol Evol       Date:  2021-11-25       Impact factor: 15.460

2.  Systematic identification of cell-fate regulatory programs using a single-cell atlas of mouse development.

Authors:  Lijiang Fei; Haide Chen; Lifeng Ma; Weigao E; Renying Wang; Xing Fang; Ziming Zhou; Huiyu Sun; Jingjing Wang; Mengmeng Jiang; Xinru Wang; Chengxuan Yu; Yuqing Mei; Danmei Jia; Tingyue Zhang; Xiaoping Han; Guoji Guo
Journal:  Nat Genet       Date:  2022-07-11       Impact factor: 41.307

3.  Deep learning of cross-species single-cell landscapes identifies conserved regulatory programs underlying cell types.

Authors:  Jiaqi Li; Jingjing Wang; Peijing Zhang; Renying Wang; Yuqing Mei; Zhongyi Sun; Lijiang Fei; Mengmeng Jiang; Lifeng Ma; Weigao E; Haide Chen; Xinru Wang; Yuting Fu; Hanyu Wu; Daiyuan Liu; Xueyi Wang; Jingyu Li; Qile Guo; Yuan Liao; Chengxuan Yu; Danmei Jia; Jian Wu; Shibo He; Huanju Liu; Jun Ma; Kai Lei; Jiming Chen; Xiaoping Han; Guoji Guo
Journal:  Nat Genet       Date:  2022-10-13       Impact factor: 41.307

4.  Profiling cellular diversity in sponges informs animal cell type and nervous system evolution.

Authors:  Jacob M Musser; Klaske J Schippers; Michael Nickel; Giulia Mizzon; Andrea B Kohn; Constantin Pape; Paolo Ronchi; Nikolaos Papadopoulos; Alexander J Tarashansky; Jörg U Hammel; Florian Wolf; Cong Liang; Ana Hernández-Plaza; Carlos P Cantalapiedra; Kaia Achim; Nicole L Schieber; Leslie Pan; Fabian Ruperti; Warren R Francis; Sergio Vargas; Svenja Kling; Maike Renkert; Maxim Polikarpov; Gleb Bourenkov; Roberto Feuda; Imre Gaspar; Pawel Burkhardt; Bo Wang; Peer Bork; Martin Beck; Thomas R Schneider; Anna Kreshuk; Gert Wörheide; Jaime Huerta-Cepas; Yannick Schwab; Leonid L Moroz; Detlev Arendt
Journal:  Science       Date:  2021-11-04       Impact factor: 63.714

Review 5.  Methods and tools for spatial mapping of single-cell RNAseq clusters in Drosophila.

Authors:  Stephanie E Mohr; Sudhir Gopal Tattikota; Jun Xu; Jonathan Zirin; Yanhui Hu; Norbert Perrimon
Journal:  Genetics       Date:  2021-04-15       Impact factor: 4.562

Review 6.  New horizons in the stormy sea of multimodal single-cell data integration.

Authors:  Christopher A Jackson; Christine Vogel
Journal:  Mol Cell       Date:  2022-01-20       Impact factor: 17.970

Review 7.  Single-cell deconstruction of stem-cell-driven schistosome development.

Authors:  Dania Nanes Sarfati; Pengyang Li; Alexander J Tarashansky; Bo Wang
Journal:  Trends Parasitol       Date:  2021-04-20

8.  The developmental hourglass model is applicable to the spinal cord based on single-cell transcriptomes and non-conserved cis-regulatory elements.

Authors:  Katsuki Mukaigasa; Chie Sakuma; Hiroyuki Yaginuma
Journal:  Dev Growth Differ       Date:  2021-09       Impact factor: 3.063

Review 9.  Plant single-cell solutions for energy and the environment.

Authors:  Benjamin Cole; Dominique Bergmann; Crysten E Blaby-Haas; Ian K Blaby; Kristofer E Bouchard; Siobhan M Brady; Doina Ciobanu; Devin Coleman-Derr; Samuel Leiboff; Jenny C Mortimer; Tatsuya Nobori; Seung Y Rhee; Jeremy Schmutz; Blake A Simmons; Anup K Singh; Neelima Sinha; John P Vogel; Ronan C O'Malley; Axel Visel; Diane E Dickel
Journal:  Commun Biol       Date:  2021-08-12

10.  Multiple Origins of Neurons From Secretory Cells.

Authors:  Leonid L Moroz
Journal:  Front Cell Dev Biol       Date:  2021-07-07
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