Literature DB >> 35156183

Understanding the Transcriptomic Landscape to Drive New Innovations in Musculoskeletal Regenerative Medicine.

Stacey M Thomas1, Cheryl L Ackert-Bicknell1, Michael J Zuscik1, Karin A Payne2,3.   

Abstract

PURPOSE OF REVIEW: RNA-sequencing (RNA-seq) is a novel and highly sought-after tool in the field of musculoskeletal regenerative medicine. The technology is being used to better understand pathological processes, as well as elucidate mechanisms governing development and regeneration. It has allowed in-depth characterization of stem cell populations and discovery of molecular mechanisms that regulate stem cell development, maintenance, and differentiation in a way that was not possible with previous technology. This review introduces RNA-seq technology and how it has paved the way for advances in musculoskeletal regenerative medicine. RECENT
FINDINGS: Recent studies in regenerative medicine have utilized RNA-seq to decipher mechanisms of pathophysiology and identify novel targets for regenerative medicine. The technology has also advanced stem cell biology through in-depth characterization of stem cells, identifying differentiation trajectories and optimizing cell culture conditions. It has also provided new knowledge that has led to improved growth factor use and scaffold design for musculoskeletal regenerative medicine. This article reviews recent studies utilizing RNA-seq in the field of musculoskeletal regenerative medicine. It demonstrates how transcriptomic analysis can be used to provide insights that can aid in formulating a regenerative strategy.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Musculoskeletal; RNA-sequencing; Regenerative medicine; Tissue engineering; Transcriptomics

Mesh:

Year:  2022        PMID: 35156183     DOI: 10.1007/s11914-022-00726-x

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


  52 in total

1.  Introduction to Single-Cell RNA Sequencing.

Authors:  Thale Kristin Olsen; Ninib Baryawno
Journal:  Curr Protoc Mol Biol       Date:  2018-04

2.  The burden of musculoskeletal diseases in the United States.

Authors:  Edward Yelin; Stuart Weinstein; Toby King
Journal:  Semin Arthritis Rheum       Date:  2016-07-26       Impact factor: 5.532

Review 3.  Next-generation sequencing in drug development: target identification and genetically stratified clinical trials.

Authors:  Abolfazl Doostparast Torshizi; Kai Wang
Journal:  Drug Discov Today       Date:  2018-05-24       Impact factor: 7.851

4.  High-depth transcriptomic profiling reveals the temporal gene signature of human mesenchymal stem cells during chondrogenesis.

Authors:  Nguyen P T Huynh; Bo Zhang; Farshid Guilak
Journal:  FASEB J       Date:  2018-07-09       Impact factor: 5.191

5.  mRNA-Seq whole-transcriptome analysis of a single cell.

Authors:  Fuchou Tang; Catalin Barbacioru; Yangzhou Wang; Ellen Nordman; Clarence Lee; Nanlan Xu; Xiaohui Wang; John Bodeau; Brian B Tuch; Asim Siddiqui; Kaiqin Lao; M Azim Surani
Journal:  Nat Methods       Date:  2009-04-06       Impact factor: 28.547

Review 6.  RNA-Seq: a revolutionary tool for transcriptomics.

Authors:  Zhong Wang; Mark Gerstein; Michael Snyder
Journal:  Nat Rev Genet       Date:  2009-01       Impact factor: 53.242

Review 7.  Regenerative medicine: the red planet for clinicians.

Authors:  Rachele Ciccocioppo; Alessio Cantore; Deborah Chaimov; Giuseppe Orlando
Journal:  Intern Emerg Med       Date:  2019-06-15       Impact factor: 3.397

8.  Evaluating gene expression in C57BL/6J and DBA/2J mouse striatum using RNA-Seq and microarrays.

Authors:  Daniel Bottomly; Nicole A R Walter; Jessica Ezzell Hunter; Priscila Darakjian; Sunita Kawane; Kari J Buck; Robert P Searles; Michael Mooney; Shannon K McWeeney; Robert Hitzemann
Journal:  PLoS One       Date:  2011-03-24       Impact factor: 3.240

Review 9.  Microarray experiments and factors which affect their reliability.

Authors:  Roman Jaksik; Marta Iwanaszko; Joanna Rzeszowska-Wolny; Marek Kimmel
Journal:  Biol Direct       Date:  2015-09-03       Impact factor: 4.540

10.  Combining bulk and single-cell RNA-sequencing data to reveal gene expression pattern of chondrocytes in the osteoarthritic knee.

Authors:  Xiaoyu Li; Zheting Liao; Zhonghao Deng; Nachun Chen; Liang Zhao
Journal:  Bioengineered       Date:  2021-12       Impact factor: 3.269

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