Evidence map›Paper›PMID 38531306›Full record

ArticleCell reports methods2024

Pooled CRISPR screening of high-content cellular phenotypes using ghost cytometry.

Asako Tsubouchi, Yuri An, Yoko Kawamura, Yuichi Yanagihashi, Hirofumi Nakayama, Yuri Murata, Kazuki Teranishi, Soh Ishiguro, Hiroyuki Aburatani, Nozomu Yachie and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cell reports methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Optical sorting: past, present and future.Light, science & applications · 2025
    Review
  3. Article
  4. Review
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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

11 authors at 3 institutions in 2 countries.

Asako TsubouchiThinkCyte Inc., Tokyo 113-8654, Japan.
Yuri AnThinkCyte Inc., Tokyo 113-8654, Japan.
Yoko KawamuraThinkCyte Inc., Tokyo 113-8654, Japan.
Yuichi YanagihashiThinkCyte Inc., Tokyo 113-8654, Japan.
Hirofumi NakayamaThinkCyte Inc., Tokyo 113-8654, Japan.
Yuri MurataThinkCyte Inc., Tokyo 113-8654, Japan.
Kazuki TeranishiThinkCyte Inc., Tokyo 113-8654, Japan.
Soh IshiguroSchool of Biomedical Engineering, Faculty of Medicine and Faculty of Applied Science, University of British Columbia, Vancouver, BC V6T 1Z3, Canada.
Hiroyuki AburataniResearch Center for Advanced Science and Technology, The University of Tokyo, Tokyo 153-8904, Japan.
Nozomu YachieSchool of Biomedical Engineering, Faculty of Medicine and Faculty of Applied Science, University of British Columbia, Vancouver, BC V6T 1Z3, Canada; Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo 153-8904, Japan.
Sadao OtaThinkCyte Inc., Tokyo 113-8654, Japan; Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo 153-8904, Japan. Electronic address: sadaota@solab.rcast.u-tokyo.ac.jp.
University of British Columbia · CAThe University of Tokyo · JPTokyo University of Science · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advancements in image-based pooled CRISPR screening have facilitated the mapping of diverse genotype-phenotype associations within mammalian cells. However, the rapid enrichment of cells based on morphological information continues to pose a challenge, constraining the capacity for large-scale gene perturbation screening across diverse high-content cellular phenotypes. In this study, we demonstrate the applicability of multimodal ghost cytometry-based cell sorting, including both fluorescent and label-free high-content phenotypes, for rapid pooled CRISPR screening within vast cell populations. Using the high-content cell sorter operating in fluorescence mode, we successfully executed kinase-specific CRISPR screening targeting genes influencing the nuclear translocation of RelA. Furthermore, using the multiparametric, label-free mode, we performed large-scale screening to identify genes involved in macrophage polarization. Notably, the label-free platform can enrich target phenotypes without requiring invasive staining, preserving untouched cells for downstream assays and expanding the potential for screening cellular phenotypes even when suitable markers are absent.

Indexed as

Clustered Regularly Interspaced Short Palindromic RepeatsGenetic TestingAnimalsCell SeparationFlow CytometryMammalsPhenotypecellular phenotypingCP: biotechnologyCP: imagingflow cytometryhigh-content cell analysisimage-based cell sorterlabel-free cell analysismachine learningpooled CRISPR screening

Identifiers

PMID38531306
PMCPMC10985231
OpenAlexW4393166478

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.