Evidence map›Paper›PMID 36504444›Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023

Massively Parallel CRISPR-Based Genetic Perturbation Screening at Single-Cell Resolution.

Junyun Cheng, Gaole Lin, Tianhao Wang, Yunzhu Wang, Wenbo Guo, Jie Liao, Penghui Yang, Jie Chen, Xin Shao, Xiaoyan Lu and 3 more

Open access · goldAbstract readReview
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.3field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Review
  13. Review
  14. Simultaneous inference for generalized linear models with unmeasured confounders.Journal of the American Statistical Association · 2025
    Article
  15. Review
  16. Article
  17. A mini-review on perturbation modelling across single-cell omic modalities.Computational and structural biotechnology journal · 2024
    Review
  18. Review
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 4 institutions in 2 countries.

Junyun ChengPharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, China.ORCID 0000-0002-4226-5168
Gaole LinPharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, China.ORCID 0000-0002-3936-5061
Tianhao WangPharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, China.ORCID 0000-0002-7980-9763
Yunzhu WangPharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, China.
Wenbo GuoPharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, China.ORCID 0000-0002-5367-619X
Jie LiaoPharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, China.ORCID 0000-0002-6697-8998
Penghui YangPharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, China.
Jie ChenPharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, China.ORCID 0000-0001-7461-5882
Xin ShaoPharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, China.ORCID 0000-0002-1928-3878
Xiaoyan LuPharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, China.
Ling ZhuThe Save Sight Institute, Faculty of Medicine and Health, the University of Sydney, Sydney, NSW, 2000, Australia.
Yi WangPharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, China.
Xiaohui FanPharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, China.ORCID 0000-0002-6336-3007
Zhejiang University · CNThe University of Sydney · AUYangtze River Delta Physics Research Center (China) · CNJinhua Academy of Agricultural Sciences · CN

Funding

Innovation Team and Talents Cultivation Program of National Administration of Traditional Chinese Medicine ZYYCXTD-D-202002National Natural Science Foundation of China 81973701
6 · The paper itself

Abstract

The clustered regularly interspaced short palindromic repeats (CRISPR)-based genetic screening has been demonstrated as a powerful approach for unbiased functional genomics research. Single-cell CRISPR screening (scCRISPR) techniques, which result from the combination of single-cell toolkits and CRISPR screening, allow dissecting regulatory networks in complex biological systems at unprecedented resolution. These methods allow cells to be perturbed en masse using a pooled CRISPR library, followed by high-content phenotyping. This is technically accomplished by annotating cells with sgRNA-specific barcodes or directly detectable sgRNAs. According to the integration of distinct single-cell technologies, these methods principally fall into four categories: scCRISPR with RNA-seq, scCRISPR with ATAC-seq, scCRISPR with proteome probing, and imaging-based scCRISPR. scCRISPR has deciphered genotype-phenotype relationships, genetic regulations, tumor biological issues, and neuropathological mechanisms. This review provides insight into the technical breakthrough of scCRISPR by systematically summarizing the advancements of various scCRISPR methodologies and analyzing their merits and limitations. In addition, an application-oriented approach guide is offered to meet researchers' individualized demands.

Indexed as

Genetic TestingGenomicsCRISPR/Casgenetic screeningimaging-based phenotypingmultiplexed perturbationssingle-cell sequencing

Identifiers

PMID36504444
PMCPMC9896079
OpenAlexW4311204473

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.