Literature DB >> 33559841

Single Cell Omics for Musculoskeletal Research.

Muhammad Farooq Rai1, Chia-Lung Wu2, Terence D Capellini3, Farshid Guilak2, Amanda R Dicks2, Pushpanathan Muthuirulan3, Fiorella Grandi4, Nidhi Bhutani4, Jennifer J Westendorf5.   

Abstract

PURPOSE OF REVIEW: The ability to analyze the molecular events occurring within individual cells as opposed to populations of cells is revolutionizing our understanding of musculoskeletal tissue development and disease. Single cell studies have the great potential of identifying cellular subpopulations that work in a synchronized fashion to regenerate and repair damaged tissues during normal homeostasis. In addition, such studies can elucidate how these processes break down in disease as well as identify cellular subpopulations that drive the disease. This review highlights three emerging technologies: single cell RNA sequencing (scRNA-seq), Assay for Transposase-Accessible Chromatin using sequencing (ATAC-seq), and Cytometry by Time-Of-Flight (CyTOF) mass cytometry. RECENT
FINDINGS: Technological and bioinformatic tools to analyze the transcriptome, epigenome, and proteome at the individual cell level have advanced rapidly making data collection relatively easy; however, understanding how to access and interpret the data remains a challenge for many scientists. It is, therefore, of paramount significance to educate the musculoskeletal community on how single cell technologies can be used to answer research questions and advance translation. This article summarizes talks given during a workshop on "Single Cell Omics" at the 2020 annual meeting of the Orthopedic Research Society. Studies that applied scRNA-seq, ATAC-seq, and CyTOF mass cytometry to cartilage development and osteoarthritis are reviewed. This body of work shows how these cutting-edge tools can advance our understanding of the cellular heterogeneity and trajectories of lineage specification during development and disease.

Entities:  

Keywords:  ATAC-seq; Cartilage; CyTOF; Osteoarthritis; Single cell RNA-seq

Mesh:

Year:  2021        PMID: 33559841      PMCID: PMC8743139          DOI: 10.1007/s11914-021-00662-2

Source DB:  PubMed          Journal:  Curr Osteoporos Rep        ISSN: 1544-1873            Impact factor:   5.096


  47 in total

1.  High-resolution myogenic lineage mapping by single-cell mass cytometry.

Authors:  Ermelinda Porpiglia; Nikolay Samusik; Andrew Tri Van Ho; Benjamin D Cosgrove; Thach Mai; Kara L Davis; Astraea Jager; Garry P Nolan; Sean C Bendall; Wendy J Fantl; Helen M Blau
Journal:  Nat Cell Biol       Date:  2017-04-17       Impact factor: 28.824

2.  Transposition of native chromatin for fast and sensitive epigenomic profiling of open chromatin, DNA-binding proteins and nucleosome position.

Authors:  Jason D Buenrostro; Paul G Giresi; Lisa C Zaba; Howard Y Chang; William J Greenleaf
Journal:  Nat Methods       Date:  2013-10-06       Impact factor: 28.547

3.  Cicero Predicts cis-Regulatory DNA Interactions from Single-Cell Chromatin Accessibility Data.

Authors:  Hannah A Pliner; Jonathan S Packer; José L McFaline-Figueroa; Darren A Cusanovich; Riza M Daza; Delasa Aghamirzaie; Sanjay Srivatsan; Xiaojie Qiu; Dana Jackson; Anna Minkina; Andrew C Adey; Frank J Steemers; Jay Shendure; Cole Trapnell
Journal:  Mol Cell       Date:  2018-08-02       Impact factor: 17.970

4.  Evolutionary Selection and Constraint on Human Knee Chondrocyte Regulation Impacts Osteoarthritis Risk.

Authors:  Daniel Richard; Zun Liu; Jiaxue Cao; Ata M Kiapour; Jessica Willen; Siddharth Yarlagadda; Evelyn Jagoda; Vijaya B Kolachalama; Jakob T Sieker; Gary H Chang; Pushpanathan Muthuirulan; Mariel Young; Anand Masson; Johannes Konrad; Shayan Hosseinzadeh; David E Maridas; Vicki Rosen; Roman Krawetz; Neil Roach; Terence D Capellini
Journal:  Cell       Date:  2020-03-26       Impact factor: 41.582

5.  Unsupervised clustering and epigenetic classification of single cells.

Authors:  Mahdi Zamanighomi; Zhixiang Lin; Timothy Daley; Xi Chen; Zhana Duren; Alicia Schep; William J Greenleaf; Wing Hung Wong
Journal:  Nat Commun       Date:  2018-06-20       Impact factor: 14.919

6.  Single-cell ATAC-seq signal extraction and enhancement with SCATE.

Authors:  Zhicheng Ji; Weiqiang Zhou; Wenpin Hou; Hongkai Ji
Journal:  Genome Biol       Date:  2020-07-03       Impact factor: 13.583

7.  BROCKMAN: deciphering variance in epigenomic regulators by k-mer factorization.

Authors:  Carl G de Boer; Aviv Regev
Journal:  BMC Bioinformatics       Date:  2018-07-03       Impact factor: 3.169

8.  Defining inflammatory cell states in rheumatoid arthritis joint synovial tissues by integrating single-cell transcriptomics and mass cytometry.

Authors:  Fan Zhang; Kevin Wei; Kamil Slowikowski; Chamith Y Fonseka; Deepak A Rao; Stephen Kelly; Susan M Goodman; Darren Tabechian; Laura B Hughes; Karen Salomon-Escoto; Gerald F M Watts; A Helena Jonsson; Javier Rangel-Moreno; Nida Meednu; Cristina Rozo; William Apruzzese; Thomas M Eisenhaure; David J Lieb; David L Boyle; Arthur M Mandelin; Brendan F Boyce; Edward DiCarlo; Ellen M Gravallese; Peter K Gregersen; Larry Moreland; Gary S Firestein; Nir Hacohen; Chad Nusbaum; James A Lederer; Harris Perlman; Costantino Pitzalis; Andrew Filer; V Michael Holers; Vivian P Bykerk; Laura T Donlin; Jennifer H Anolik; Michael B Brenner; Soumya Raychaudhuri
Journal:  Nat Immunol       Date:  2019-05-06       Impact factor: 25.606

9.  ClueGO: a Cytoscape plug-in to decipher functionally grouped gene ontology and pathway annotation networks.

Authors:  Gabriela Bindea; Bernhard Mlecnik; Hubert Hackl; Pornpimol Charoentong; Marie Tosolini; Amos Kirilovsky; Wolf-Herman Fridman; Franck Pagès; Zlatko Trajanoski; Jérôme Galon
Journal:  Bioinformatics       Date:  2009-02-23       Impact factor: 6.937

10.  Identification of the key gene and pathways associated with osteoarthritis via single-cell RNA sequencing on synovial fibroblasts.

Authors:  Zhen Wu; Lu Shou; Jian Wang; Xinwei Xu
Journal:  Medicine (Baltimore)       Date:  2020-08-14       Impact factor: 1.817

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  2 in total

1.  Single-cell RNA-sequencing atlas of bovine caudal intervertebral discs: Discovery of heterogeneous cell populations with distinct roles in homeostasis.

Authors:  Christopher J Panebianco; Arpit Dave; Daniel Charytonowicz; Robert Sebra; James C Iatridis
Journal:  FASEB J       Date:  2021-11       Impact factor: 5.834

2.  Editorial: Recent trends in pharmacological treatment of musculoskeletal disorders.

Authors:  Zhixian Zong; Liangliang Xu; Ning Zhang; Wing-Hoi Cheung; Gang Li; Sien Lin
Journal:  Front Pharmacol       Date:  2022-09-02       Impact factor: 5.988

  2 in total

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