Evidence map›Paper›PMID 39562573›Full record

ArticleNature communications2024

Barcoding of small extracellular vesicles with CRISPR-gRNA enables comprehensive, subpopulation-specific analysis of their biogenesis and release regulators.

Koki Kunitake, Tadahaya Mizuno, Kazuki Hattori, Chitose Oneyama, Mako Kamiya, Sadao Ota, Yasuteru Urano, Ryosuke Kojima

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
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

21 citing papers in PubMed.

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  15. Pseudouridine selects RNAs for extracellular transport.bioRxiv : the preprint server for biology · 2025
    Article
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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

8 authors.

Koki KunitakeGraduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0009-0006-0398-2267
Tadahaya MizunoGraduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan.ORCID 0000-0002-1638-602X
Kazuki HattoriResearch Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan.ORCID 0000-0002-5592-4257
Chitose OneyamaDivision of Cancer Cell Regulation, Aichi Cancer Center Research Institute, Nagoya, Japan.ORCID 0000-0002-5719-9431
Mako KamiyaDepartment of Life Science and Technology, Institute of Science Tokyo, Kanagawa, Japan.ORCID 0000-0002-5592-1849
Sadao OtaResearch Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan.ORCID 0000-0001-6004-488X
Yasuteru UranoGraduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0002-1220-6327
Ryosuke KojimaGraduate School of Medicine, The University of Tokyo, Tokyo, Japan. kojima@m.u-tokyo.ac.jp.ORCID 0000-0002-3792-9222

Funding

BEHAVIORAL PHARMACOLOGY OF OPIOIDS &CAFFEINEK05DA000008 · NIDA · EMORY UNIVERSITY · PI HOLTZMAN, STEPHEN G · 1985 to 2004
$596k
Human Frontier Science Program (HFSP) CDA-00008/2019-CMEXT | Japan Society for the Promotion of Science (JSPS) 24H00868MEXT | JST | Core Research for Evolutional Science and Technology (CREST) JPMJCR19H1, JPMJCR23B7MEXT | JST | Precursory Research for Embryonic Science and Technology (PRESTO) JPMJPR17H5NIDA NIH HHS K05 DA000008
6 · The paper itself

Abstract

Small extracellular vesicles (sEVs) are important intercellular information transmitters in various biological contexts, but their release processes remain poorly understood. Herein, we describe a high-throughput assay platform, CRISPR-assisted individually barcoded sEV-based release regulator (CIBER) screening, for identifying key players in sEV release. CIBER screening employs sEVs barcoded with CRISPR-gRNA through the interaction of gRNA and dead Cas9 fused with an sEV marker. Barcode quantification enables the estimation of the sEV amount released from each cell in a massively parallel manner. Barcoding sEVs with different sEV markers in a CRISPR pooled-screening format allows genome-wide exploration of sEV release regulators in a subpopulation-specific manner, successfully identifying previously unknown sEV release regulators and uncovering the exosomal/ectosomal nature of CD63

Indexed as

CRISPR-Cas SystemsExtracellular VesiclesRNA, Guide, CRISPR-Cas SystemsTetraspanin 29Tetraspanin 30Clustered Regularly Interspaced Short Palindromic RepeatsExosomesHEK293 CellsHumansCD63 protein, humanCD9 protein, humanRNA, Guide, CRISPR-Cas SystemsTetraspanin 29Tetraspanin 30

Identifiers

PMID39562573
PMCPMC11577021

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.