Literature DB >> 33969247

The landscape of cell-cell communication through single-cell transcriptomics.

Axel A Almet1,2, Zixuan Cang1,2, Suoqin Jin2, Qing Nie1,2,3.   

Abstract

Cell-cell communication is a fundamental process that shapes biological tissue. Historically, studies of cell-cell communication have been feasible for one or two cell types and a few genes. With the emergence of single-cell transcriptomics, we are now able to examine the genetic profiles of individual cells at unprecedented scale and depth. The availability of such data presents an exciting opportunity to construct a more comprehensive description of cell-cell communication. This review discusses the recent explosion of methods that have been developed to infer cell-cell communication from non-spatial and spatial single-cell transcriptomics, two promising technologies which have complementary strengths and limitations. We propose several avenues to propel this rapidly expanding field forward in meaningful ways.

Entities:  

Year:  2021        PMID: 33969247      PMCID: PMC8104132          DOI: 10.1016/j.coisb.2021.03.007

Source DB:  PubMed          Journal:  Curr Opin Syst Biol        ISSN: 2452-3100


  34 in total

1.  A comparison of single-cell trajectory inference methods.

Authors:  Wouter Saelens; Robrecht Cannoodt; Helena Todorov; Yvan Saeys
Journal:  Nat Biotechnol       Date:  2019-04-01       Impact factor: 54.908

2.  Visualization and analysis of gene expression in tissue sections by spatial transcriptomics.

Authors:  Patrik L Ståhl; Fredrik Salmén; Sanja Vickovic; Anna Lundmark; José Fernández Navarro; Jens Magnusson; Stefania Giacomello; Michaela Asp; Jakub O Westholm; Mikael Huss; Annelie Mollbrink; Sten Linnarsson; Simone Codeluppi; Åke Borg; Fredrik Pontén; Paul Igor Costea; Pelin Sahlén; Jan Mulder; Olaf Bergmann; Joakim Lundeberg; Jonas Frisén
Journal:  Science       Date:  2016-07-01       Impact factor: 47.728

3.  Gene expression cartography.

Authors:  Mor Nitzan; Nikos Karaiskos; Nir Friedman; Nikolaus Rajewsky
Journal:  Nature       Date:  2019-11-20       Impact factor: 49.962

4.  Identification of genomic enhancers through spatial integration of single-cell transcriptomics and epigenomics.

Authors:  Carmen Bravo González-Blas; Xiao-Jiang Quan; Ramon Duran-Romaña; Ibrahim Ihsan Taskiran; Duygu Koldere; Kristofer Davie; Valerie Christiaens; Samira Makhzami; Gert Hulselmans; Maxime de Waegeneer; David Mauduit; Suresh Poovathingal; Sara Aibar; Stein Aerts
Journal:  Mol Syst Biol       Date:  2020-05       Impact factor: 11.429

5.  Coupled scRNA-Seq and Intracellular Protein Activity Reveal an Immunosuppressive Role of TREM2 in Cancer.

Authors:  Yonatan Katzenelenbogen; Fadi Sheban; Adam Yalin; Ido Yofe; Dmitry Svetlichnyy; Diego Adhemar Jaitin; Chamutal Bornstein; Adi Moshe; Hadas Keren-Shaul; Merav Cohen; Shuang-Yin Wang; Baoguo Li; Eyal David; Tomer-Meir Salame; Assaf Weiner; Ido Amit
Journal:  Cell       Date:  2020-08-11       Impact factor: 41.582

6.  Single-cell chromatin accessibility reveals principles of regulatory variation.

Authors:  Jason D Buenrostro; Beijing Wu; Ulrike M Litzenburger; Dave Ruff; Michael L Gonzales; Michael P Snyder; Howard Y Chang; William J Greenleaf
Journal:  Nature       Date:  2015-06-17       Impact factor: 49.962

7.  Stellate Cells, Hepatocytes, and Endothelial Cells Imprint the Kupffer Cell Identity on Monocytes Colonizing the Liver Macrophage Niche.

Authors:  Johnny Bonnardel; Wouter T'Jonck; Djoere Gaublomme; Robin Browaeys; Charlotte L Scott; Liesbet Martens; Bavo Vanneste; Sofie De Prijck; Sergei A Nedospasov; Anna Kremer; Evelien Van Hamme; Peter Borghgraef; Wendy Toussaint; Pieter De Bleser; Inge Mannaerts; Alain Beschin; Leo A van Grunsven; Bart N Lambrecht; Tom Taghon; Saskia Lippens; Dirk Elewaut; Yvan Saeys; Martin Guilliams
Journal:  Immunity       Date:  2019-09-24       Impact factor: 31.745

8.  scAI: an unsupervised approach for the integrative analysis of parallel single-cell transcriptomic and epigenomic profiles.

Authors:  Suoqin Jin; Lihua Zhang; Qing Nie
Journal:  Genome Biol       Date:  2020-02-03       Impact factor: 17.906

9.  Identification of spatially associated subpopulations by combining scRNAseq and sequential fluorescence in situ hybridization data.

Authors:  Qian Zhu; Sheel Shah; Ruben Dries; Long Cai; Guo-Cheng Yuan
Journal:  Nat Biotechnol       Date:  2018-10-29       Impact factor: 54.908

Review 10.  Deciphering cell-cell interactions and communication from gene expression.

Authors:  Erick Armingol; Adam Officer; Olivier Harismendy; Nathan E Lewis
Journal:  Nat Rev Genet       Date:  2020-11-09       Impact factor: 59.581

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  16 in total

1.  LRLoop: A method to predict feedback loops in cell-cell communication.

Authors:  Ying Xin; Pin Lyu; Junyao Jiang; Fengquan Zhou; Jie Wang; Seth Blackshaw; Jiang Qian
Journal:  Bioinformatics       Date:  2022-07-05       Impact factor: 6.931

2.  A systematic evaluation of the computational tools for ligand-receptor-based cell-cell interaction inference.

Authors:  Saidi Wang; Hansi Zheng; James S Choi; Jae K Lee; Xiaoman Li; Haiyan Hu
Journal:  Brief Funct Genomics       Date:  2022-09-16       Impact factor: 4.840

3.  Analyzing network diversity of cell-cell interactions in COVID-19 using single-cell transcriptomics.

Authors:  Xinyi Wang; Axel A Almet; Qing Nie
Journal:  Front Genet       Date:  2022-08-29       Impact factor: 4.772

Review 4.  Single-cell atlases: shared and tissue-specific cell types across human organs.

Authors:  Rasa Elmentaite; Cecilia Domínguez Conde; Lu Yang; Sarah A Teichmann
Journal:  Nat Rev Genet       Date:  2022-02-25       Impact factor: 59.581

5.  Comparison of methods and resources for cell-cell communication inference from single-cell RNA-Seq data.

Authors:  Alberto Valdeolivas; Aurélien Dugourd; Daniel Dimitrov; Dénes Türei; Martin Garrido-Rodriguez; Paul L Burmedi; James S Nagai; Charlotte Boys; Ricardo O Ramirez Flores; Hyojin Kim; Bence Szalai; Ivan G Costa; Julio Saez-Rodriguez
Journal:  Nat Commun       Date:  2022-06-09       Impact factor: 17.694

Review 6.  How a cell decides its own fate: a single-cell view of molecular mechanisms and dynamics of cell-type specification.

Authors:  Maria Mircea; Stefan Semrau
Journal:  Biochem Soc Trans       Date:  2021-12-17       Impact factor: 5.407

Review 7.  The Applications of Single-Cell RNA Sequencing in Atherosclerotic Disease.

Authors:  Lotte Slenders; Daniëlle E Tessels; Sander W van der Laan; Gerard Pasterkamp; Michal Mokry
Journal:  Front Cardiovasc Med       Date:  2022-02-08

8.  Deciphering Cell-Cell Communication in Abdominal Aortic Aneurysm From Single-Cell RNA Transcriptomic Data.

Authors:  Huan Yang; Elise DeRoo; Ting Zhou; Bo Liu
Journal:  Front Cardiovasc Med       Date:  2022-02-04

Review 9.  Computational exploration of cellular communication in skin from emerging single-cell and spatial transcriptomic data.

Authors:  Suoqin Jin; Raul Ramos
Journal:  Biochem Soc Trans       Date:  2022-02-28       Impact factor: 4.919

Review 10.  Statistical and machine learning methods for spatially resolved transcriptomics data analysis.

Authors:  Zexian Zeng; Yawei Li; Yiming Li; Yuan Luo
Journal:  Genome Biol       Date:  2022-03-25       Impact factor: 13.583

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