Single-cell transcriptomics: background, technologies, applications, and challenges-Reference-Cited by-同舟云学术

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Single-cell transcriptomics: background, technologies, applications, and challenges

Published:2024-04-30 Issue:1 Volume:51 Page:
ISSN:0301-4851
Container-title:Molecular Biology Reports
language:en
Short-container-title:Mol Biol Rep

Author:

Duhan Lucky,Kumari Deepika,Naime Mohammad,Parmar Virinder S.,Chhillar Anil K.,Dangi Mehak,Pasrija Ritu

Funder

Council of Scientific and Industrial Research, India

Science & Engineering Research Board

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11033-024-09553-y.pdf

Reference121 articles.

1. Mayr U, Serra D, Liberali P (2019) Exploring single cells in space and time during tissue development, homeostasis and regeneration. Development. https://doi.org/10.1242/dev.176727

2. Philpott M, Cribbs AP, Brown T et al (2020) Advances and challenges in epigenomic single-cell sequencing applications. Curr Opinion Chem Biol 57:17–26. https://doi.org/10.1016/j.cbpa.2020.01.013

3. Dimitriu MA, Lazar-Contes I, Roszkowski M, Mansuy IM (2022) Single-cell multiomics techniques: from conception to applications. Front Cell Dev Biol 10:854317. https://doi.org/10.3389/fcell.2022.854317

4. Piétu G, Mariage-Samson R, Fayein N-A et al (1999) The Genexpress IMAGE knowledge base of the human brain transcriptome: a prototype integrated resource for functional and computational genomics. Genome Res 9:195–209

5. Tang F, Barbacioru C, Wang Y et al (2009) mRNA-Seq whole-transcriptome analysis of a single cell. Nat Methods 6:377–382. https://doi.org/10.1038/nmeth.1315

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2. The effect of Proteinase K treatment on GeoMx digital spatial profiling data quality from formalin-fixed, paraffin-embedded tissue;Pathology;2024-08

3. Comparative transcriptomics analysis on Senecavirus A-infected and non-infected cells;Frontiers in Veterinary Science;2024-06-25

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