Literature DB >> 30171231

Single-cell genomics to guide human stem cell and tissue engineering.

J Gray Camp1, Damian Wollny2, Barbara Treutlein3,4,5.   

Abstract

To understand human development and disease, as well as to regenerate damaged tissues, scientists are working to engineer certain cell types in vitro and to create 3D microenvironments in which cells behave physiologically. Single-cell genomics (SCG) technologies are being applied to primary human organs and to engineered cells and tissues to generate atlases of cell diversity in these systems at unparalleled resolution. Moving beyond atlases, SCG methods are powerful tools for gaining insight into the engineering and disease process. Here we discuss how scientists can use single-cell sequencing to optimize human cell and tissue engineering by measuring precision, detecting inefficiencies, and assessing accuracy. We also provide a perspective on how emerging SCG methods can be used to reverse-engineer human cells and tissues and unravel disease mechanisms.

Entities:  

Mesh:

Year:  2018        PMID: 30171231     DOI: 10.1038/s41592-018-0113-0

Source DB:  PubMed          Journal:  Nat Methods        ISSN: 1548-7091            Impact factor:   28.547


  19 in total

Review 1.  A critical look: Challenges in differentiating human pluripotent stem cells into desired cell types and organoids.

Authors:  Jonas L Fowler; Lay Teng Ang; Kyle M Loh
Journal:  Wiley Interdiscip Rev Dev Biol       Date:  2019-11-19       Impact factor: 5.814

2.  A roadmap for the Human Developmental Cell Atlas.

Authors:  Muzlifah Haniffa; Deanne Taylor; Sten Linnarsson; Bruce J Aronow; Gary D Bader; Roger A Barker; Pablo G Camara; J Gray Camp; Alain Chédotal; Andrew Copp; Heather C Etchevers; Paolo Giacobini; Berthold Göttgens; Guoji Guo; Ania Hupalowska; Kylie R James; Emily Kirby; Arnold Kriegstein; Joakim Lundeberg; John C Marioni; Kerstin B Meyer; Kathy K Niakan; Mats Nilsson; Bayanne Olabi; Dana Pe'er; Aviv Regev; Jennifer Rood; Orit Rozenblatt-Rosen; Rahul Satija; Sarah A Teichmann; Barbara Treutlein; Roser Vento-Tormo; Simone Webb
Journal:  Nature       Date:  2021-09-08       Impact factor: 69.504

Review 3.  Microfluidics for Neuronal Cell and Circuit Engineering.

Authors:  Rouhollah Habibey; Jesús Eduardo Rojo Arias; Johannes Striebel; Volker Busskamp
Journal:  Chem Rev       Date:  2022-09-07       Impact factor: 72.087

4.  Robust temporal map of human in vitro myelopoiesis using single-cell genomics.

Authors:  Clara Alsinet; Maria Nascimento Primo; Valentina Lorenzi; Erica Bello; Iva Kelava; Carla P Jones; Roser Vilarrasa-Blasi; Carmen Sancho-Serra; Andrew J Knights; Jong-Eun Park; Beata S Wyspianska; Gosia Trynka; David F Tough; Andrew Bassett; Daniel J Gaffney; Damiana Alvarez-Errico; Roser Vento-Tormo
Journal:  Nat Commun       Date:  2022-05-24       Impact factor: 17.694

5.  Cell-type-specific analysis of alternative polyadenylation using single-cell transcriptomics data.

Authors:  Eldad David Shulman; Ran Elkon
Journal:  Nucleic Acids Res       Date:  2019-11-04       Impact factor: 16.971

6.  Longitudinal single-cell RNA-seq of hESCs-derived retinal organoids.

Authors:  Shaojun Wang; Sergio Poli; Xiaoliang Liang; Guang-Hua Peng
Journal:  Sci China Life Sci       Date:  2021-01-27       Impact factor: 6.038

Review 7.  Advancing Stem Cell Research through Multimodal Single-Cell Analysis.

Authors:  Iwo Kucinski; Berthold Gottgens
Journal:  Cold Spring Harb Perspect Biol       Date:  2020-07-01       Impact factor: 9.708

Review 8.  Advances of single-cell genomics and epigenomics in human disease: where are we now?

Authors:  Rizqah Kamies; Celia P Martinez-Jimenez
Journal:  Mamm Genome       Date:  2020-04-08       Impact factor: 2.957

Review 9.  Emerging strategies in reprogramming and enhancing the fate of mesenchymal stem cells for bone and cartilage tissue engineering.

Authors:  Yu Seon Kim; Antonios G Mikos
Journal:  J Control Release       Date:  2020-12-31       Impact factor: 9.776

Review 10.  The Detection and Bioinformatic Analysis of Alternative 3' UTR Isoforms as Potential Cancer Biomarkers.

Authors:  Nitika Kandhari; Calvin A Kraupner-Taylor; Paul F Harrison; David R Powell; Traude H Beilharz
Journal:  Int J Mol Sci       Date:  2021-05-18       Impact factor: 5.923

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