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Related Concept Videos

Genomics02:02

Genomics

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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Updated: Oct 22, 2025

Author Spotlight: Advancing In Vitro Blood Cell Production with Single-Cell Multiomics and Functional Genomics
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Author Spotlight: Advancing In Vitro Blood Cell Production with Single-Cell Multiomics and Functional Genomics

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Advances in single-cell multi-omics profiling.

Dongsheng Bai1, Jinying Peng1, Chengqi Yi1,2,3

  • 1State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University Beijing 100871 China chengqi.yi@pku.edu.cn jypengpku@pku.edu.cn.

RSC Chemical Biology
|August 30, 2021
PubMed
Summary
This summary is machine-generated.

Recent advances in single-cell multi-omics profiling enable detailed cell analysis. This review covers new methods for dissecting cell heterogeneity and discusses future opportunities in single-cell research.

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Area of Science:

  • Biotechnology
  • Genomics
  • Molecular Biology

Background:

  • Single-cell profiling is crucial for understanding cellular heterogeneity.
  • Existing methods are being enhanced with enzymatic or chemical treatments for multi-omics analysis.
  • These advancements aid in identifying rare cell types and understanding cellular regulatory networks.

Purpose of the Study:

  • To review recent advancements in single-cell multi-omics profiling techniques.
  • To discuss the challenges and future opportunities in the field of single-cell analysis.

Main Methods:

  • Integration of enzymatic or chemical treatments into single-cell profiling.
  • Multi-omics data acquisition for genome, epigenome, and transcriptome analysis.
  • Review of current literature on single-cell multi-omics methodologies.

Main Results:

  • High compatibility of new methods with existing single-cell profiling techniques.
  • Successful identification of rare and novel cell types with high confidence.
  • Enabling comprehensive analysis of regulatory networks within single cells.

Conclusions:

  • Single-cell multi-omics offers powerful tools for biological discovery.
  • Technical challenges in data quality and co-assaying need further innovation.
  • Future breakthroughs are essential for a deeper understanding of single-cell biology.