Literature DB >> 31336008

The Unmixing Problem: A Guide to Applying Single-Cell RNA Sequencing to Bone.

Matthew B Greenblatt1,2, Noriaki Ono3, Ugur M Ayturk4, Shawon Debnath1, Sarfaraz Lalani1.   

Abstract

Bone is composed of a complex mixture of many dynamic cell types. Flow cytometry and in vivo lineage tracing have offered early progress toward deconvoluting this heterogeneous mixture of cells into functionally well-defined populations suitable for further studies. Single-cell sequencing is poised as a key complementary technique to better understand the cellular basis of bone metabolism and development. However, single-cell sequencing approaches still have important limitations, including transcriptional effects of cell isolation and sparse sampling of the transcriptome, that must be considered during experimental design and analysis to harness the power of this approach. Accounting for these limitations requires a deep knowledge of the tissue under study. Therefore, with the emergence of accessible tools for conducting and analyzing single-cell RNA sequencing (scRNA-seq) experiments, bone biologists will be ideal leaders in the application of scRNA-seq to the skeleton. Here we provide an overview of the steps involved with a single-cell sequencing analysis of bone, focusing on practical considerations needed for a successful study.
© 2019 American Society for Bone and Mineral Research. © 2019 American Society for Bone and Mineral Research.

Entities:  

Keywords:  MESENCHYMAL STEM CELLS; OSTEOBLASTS; SINGLE-CELL RNA SEQUENCING

Year:  2019        PMID: 31336008      PMCID: PMC6658136          DOI: 10.1002/jbmr.3802

Source DB:  PubMed          Journal:  J Bone Miner Res        ISSN: 0884-0431            Impact factor:   6.741


  98 in total

1.  Full-length RNA-seq from single cells using Smart-seq2.

Authors:  Simone Picelli; Omid R Faridani; Asa K Björklund; Gösta Winberg; Sven Sagasser; Rickard Sandberg
Journal:  Nat Protoc       Date:  2014-01-02       Impact factor: 13.491

2.  The essential functions of adipo-osteogenic progenitors as the hematopoietic stem and progenitor cell niche.

Authors:  Yoshiki Omatsu; Tatsuki Sugiyama; Hiroshi Kohara; Gen Kondoh; Nobutaka Fujii; Kenji Kohno; Takashi Nagasawa
Journal:  Immunity       Date:  2010-09-24       Impact factor: 31.745

3.  Single-cell profiling of the developing mouse brain and spinal cord with split-pool barcoding.

Authors:  Alexander B Rosenberg; Charles M Roco; Richard A Muscat; Anna Kuchina; Paul Sample; Zizhen Yao; Lucas T Graybuck; David J Peeler; Sumit Mukherjee; Wei Chen; Suzie H Pun; Drew L Sellers; Bosiljka Tasic; Georg Seelig
Journal:  Science       Date:  2018-03-15       Impact factor: 47.728

4.  Possible roles of Runx1 and Sox9 in incipient intramembranous ossification.

Authors:  Takashi Yamashiro; Xiu-Ping Wang; Zhe Li; Shinji Oya; Thomas Aberg; Tomohiro Fukunaga; Hiroshi Kamioka; Nancy A Speck; Teruko Takano-Yamamoto; Irma Thesleff
Journal:  J Bone Miner Res       Date:  2004-08-03       Impact factor: 6.741

5.  Reproducibility of results in preclinical studies: a perspective from the bone field.

Authors:  Stavros C Manolagas; Henry M Kronenberg
Journal:  J Bone Miner Res       Date:  2014-10       Impact factor: 6.741

6.  Slingshot: cell lineage and pseudotime inference for single-cell transcriptomics.

Authors:  Kelly Street; Davide Risso; Russell B Fletcher; Diya Das; John Ngai; Nir Yosef; Elizabeth Purdom; Sandrine Dudoit
Journal:  BMC Genomics       Date:  2018-06-19       Impact factor: 3.969

7.  Reactivation of a developmental Bmp2 signaling center is required for therapeutic control of the murine periosteal niche.

Authors:  Valerie S Salazar; Luciane P Capelo; Claudio Cantù; Dario Zimmerli; Nehal Gosalia; Steven Pregizer; Karen Cox; Satoshi Ohte; Marina Feigenson; Laura Gamer; Jeffry S Nyman; David J Carey; Aris Economides; Konrad Basler; Vicki Rosen
Journal:  Elife       Date:  2019-02-08       Impact factor: 8.140

8.  Long bone structure and strength depend on BMP2 from osteoblasts and osteocytes, but not vascular endothelial cells.

Authors:  Sarah H McBride; Jennifer A McKenzie; Bronwyn S Bedrick; Paige Kuhlmann; Jill D Pasteris; Vicki Rosen; Matthew J Silva
Journal:  PLoS One       Date:  2014-05-16       Impact factor: 3.240

9.  Single-cell transcriptomics of 20 mouse organs creates a Tabula Muris.

Authors: 
Journal:  Nature       Date:  2018-10-03       Impact factor: 49.962

10.  De Novo Prediction of Stem Cell Identity using Single-Cell Transcriptome Data.

Authors:  Dominic Grün; Mauro J Muraro; Jean-Charles Boisset; Kay Wiebrands; Anna Lyubimova; Gitanjali Dharmadhikari; Maaike van den Born; Johan van Es; Erik Jansen; Hans Clevers; Eelco J P de Koning; Alexander van Oudenaarden
Journal:  Cell Stem Cell       Date:  2016-06-23       Impact factor: 24.633

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  13 in total

Review 1.  The Osteocyte Transcriptome: Discovering Messages Buried Within Bone.

Authors:  Natalie Ky Wee; Natalie A Sims; Roy Morello
Journal:  Curr Osteoporos Rep       Date:  2021-11-10       Impact factor: 5.096

Review 2.  Insights into skeletal stem cells.

Authors:  Qiwen Li; Ruoshi Xu; Kexin Lei; Quan Yuan
Journal:  Bone Res       Date:  2022-10-19       Impact factor: 13.362

3.  Single-Cell RNA Sequencing of Calvarial and Long-Bone Endocortical Cells.

Authors:  Ugur M Ayturk; Joseph P Scollan; Didem Goz Ayturk; Eun Sung Suh; Alexander Vesprey; Christina M Jacobsen; Paola Divieti Pajevic; Matthew L Warman
Journal:  J Bone Miner Res       Date:  2020-07-20       Impact factor: 6.741

4.  The Osteogenesis Imperfecta Type V Mutant BRIL/IFITM5 Promotes Transcriptional Activation of MEF2, NFATc, and NR4A in Osteoblasts.

Authors:  Vincent Maranda; Marie-Hélène Gaumond; Pierre Moffatt
Journal:  Int J Mol Sci       Date:  2022-02-15       Impact factor: 5.923

5.  Single-Cell RNA Sequencing Reveals B Cells Are Important Regulators in Fracture Healing.

Authors:  Hao Zhang; Renkai Wang; Guangchao Wang; Bo Zhang; Chao Wang; Di Li; Chen Ding; Qiang Wei; Zhenyu Fan; Hao Tang; Fang Ji
Journal:  Front Endocrinol (Lausanne)       Date:  2021-11-08       Impact factor: 5.555

Review 6.  Perspective of the GEMSTONE Consortium on Current and Future Approaches to Functional Validation for Skeletal Genetic Disease Using Cellular, Molecular and Animal-Modeling Techniques.

Authors:  Martina Rauner; Ines Foessl; Melissa M Formosa; Erika Kague; Vid Prijatelj; Nerea Alonso Lopez; Bodhisattwa Banerjee; Dylan Bergen; Björn Busse; Ângelo Calado; Eleni Douni; Yankel Gabet; Natalia García Giralt; Daniel Grinberg; Nika M Lovsin; Xavier Nogues Solan; Barbara Ostanek; Nathan J Pavlos; Fernando Rivadeneira; Ivan Soldatovic; Jeroen van de Peppel; Bram van der Eerden; Wim van Hul; Susanna Balcells; Janja Marc; Sjur Reppe; Kent Søe; David Karasik
Journal:  Front Endocrinol (Lausanne)       Date:  2021-11-30       Impact factor: 5.555

Review 7.  Novel Techniques and Future Perspective for Investigating Critical-Size Bone Defects.

Authors:  Elijah Ejun Huang; Ning Zhang; Huaishuang Shen; Xueping Li; Masahiro Maruyama; Takeshi Utsunomiya; Qi Gao; Roberto A Guzman; Stuart B Goodman
Journal:  Bioengineering (Basel)       Date:  2022-04-11

8.  Calvaria Bone Transcriptome in Mouse Models of Osteogenesis Imperfecta.

Authors:  Pierre Moffatt; Iris Boraschi-Diaz; Juliana Marulanda; Ghalib Bardai; Frank Rauch
Journal:  Int J Mol Sci       Date:  2021-05-18       Impact factor: 5.923

Review 9.  Growth Plate Chondrocytes: Skeletal Development, Growth and Beyond.

Authors:  Shawn A Hallett; Wanida Ono; Noriaki Ono
Journal:  Int J Mol Sci       Date:  2019-11-29       Impact factor: 5.923

Review 10.  Human Cell Atlas and cell-type authentication for regenerative medicine.

Authors:  Yulia Panina; Peter Karagiannis; Andreas Kurtz; Glyn N Stacey; Wataru Fujibuchi
Journal:  Exp Mol Med       Date:  2020-09-15       Impact factor: 8.718

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