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Automated Multimodal Stimulation and Simultaneous Neuronal Recording from Multiple Small Organisms
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Multiplexed multimodal single-cell technologies: From observation to perturbation analysis.

Su-Hyeon Lee1, Junha Park2, Byungjin Hwang3

  • 1Department of Biomedical Sciences, Yonsei University College of Medicine, Seoul, South Korea.

Molecules and Cells
|November 10, 2024
PubMed
Summary

Single-cell technologies now integrate clustered regularly interspaced short palindromic repeats (CRISPR) for functional genomics. Future work aims to overcome challenges in genome-wide perturbations and data complexity for deeper cellular understanding.

Keywords:
CRISPRCombinatorial indexingMultiomicsSingle-cell sequencing

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Area of Science:

  • Single-cell biology
  • Genomics
  • Functional genomics

Background:

  • Single-cell technologies have evolved beyond transcriptomics to multiple modalities.
  • Advancements in scalability and cost reduction enable larger cell population analysis.
  • Clustered regularly interspaced short palindromic repeats (CRISPR) integration offers precise functional genomics at the single-cell level.

Purpose of the Study:

  • To review technological milestones in single-cell analysis.
  • To discuss current limitations of single-cell CRISPR technologies.
  • To outline future directions for advancing single-cell CRISPR research.

Main Methods:

  • Review of technological advancements in single-cell sequencing.
  • Analysis of the integration and impact of CRISPR perturbations in single-cell studies.
  • Identification of challenges and future research needs in the field.

Main Results:

  • Significant improvements in single-cell technology scalability and cost-effectiveness.
  • CRISPR perturbations enable precise functional genomics and gene regulation studies.
  • Persistent challenges include achieving genome-wide perturbations and managing high-throughput data.

Conclusions:

  • Single-cell CRISPR technologies represent a major advancement in understanding cellular biology.
  • Addressing challenges in scale and data complexity is crucial for future progress.
  • Further development is needed to fully realize the potential of single-cell functional genomics.