Advances in single-cell multi-omics profiling
Single-cell profiling methods are developed to dissect heterogeneity of cell populations. Recently, multiple enzymatic or chemical treatments have been integrated into single-cell multi-omics profiling methods with high compatibility. These methods have been verified to identify rare or new cell typ...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
RSC
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8341011/ https://www.ncbi.nlm.nih.gov/pubmed/34458793 http://dx.doi.org/10.1039/d0cb00163e |
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author | Bai, Dongsheng Peng, Jinying Yi, Chengqi |
author_facet | Bai, Dongsheng Peng, Jinying Yi, Chengqi |
author_sort | Bai, Dongsheng |
collection | PubMed |
description | Single-cell profiling methods are developed to dissect heterogeneity of cell populations. Recently, multiple enzymatic or chemical treatments have been integrated into single-cell multi-omics profiling methods with high compatibility. These methods have been verified to identify rare or new cell types with high confidence. Single-cell multi-omics analysis can also provide tools to solve the complex regulatory network associated with genome coding, epigenome regulation, and transcripotome expression in a single cell. However, acquiring high-quality single-cell data still faces inherent technical challenges, and co-assays with some other layers of cell identify such as transcription factors binding, histone modifications etc., profiles need new technological breakthroughs to facilitate a more thorough understanding of a single cell. In this review, we summarize the recent advances of single-cell multi-omics methods and discuss the challenges and opportunities in this filed. |
format | Online Article Text |
id | pubmed-8341011 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | RSC |
record_format | MEDLINE/PubMed |
spelling | pubmed-83410112021-08-26 Advances in single-cell multi-omics profiling Bai, Dongsheng Peng, Jinying Yi, Chengqi RSC Chem Biol Chemistry Single-cell profiling methods are developed to dissect heterogeneity of cell populations. Recently, multiple enzymatic or chemical treatments have been integrated into single-cell multi-omics profiling methods with high compatibility. These methods have been verified to identify rare or new cell types with high confidence. Single-cell multi-omics analysis can also provide tools to solve the complex regulatory network associated with genome coding, epigenome regulation, and transcripotome expression in a single cell. However, acquiring high-quality single-cell data still faces inherent technical challenges, and co-assays with some other layers of cell identify such as transcription factors binding, histone modifications etc., profiles need new technological breakthroughs to facilitate a more thorough understanding of a single cell. In this review, we summarize the recent advances of single-cell multi-omics methods and discuss the challenges and opportunities in this filed. RSC 2021-01-20 /pmc/articles/PMC8341011/ /pubmed/34458793 http://dx.doi.org/10.1039/d0cb00163e Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by-nc/3.0/ |
spellingShingle | Chemistry Bai, Dongsheng Peng, Jinying Yi, Chengqi Advances in single-cell multi-omics profiling |
title | Advances in single-cell multi-omics profiling |
title_full | Advances in single-cell multi-omics profiling |
title_fullStr | Advances in single-cell multi-omics profiling |
title_full_unstemmed | Advances in single-cell multi-omics profiling |
title_short | Advances in single-cell multi-omics profiling |
title_sort | advances in single-cell multi-omics profiling |
topic | Chemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8341011/ https://www.ncbi.nlm.nih.gov/pubmed/34458793 http://dx.doi.org/10.1039/d0cb00163e |
work_keys_str_mv | AT baidongsheng advancesinsinglecellmultiomicsprofiling AT pengjinying advancesinsinglecellmultiomicsprofiling AT yichengqi advancesinsinglecellmultiomicsprofiling |