Evidence map›Paper›PMID 37034704›Full record

ArticlebioRxiv : the preprint server for biology2024

Multiplex, single-cell CRISPRa screening for cell type specific regulatory elements.

Florence M Chardon, Troy A McDiarmid, Nicholas F Page, Riza M Daza, Beth Martin, Silvia Domcke, Samuel G Regalado, Jean-Benoît Lalanne, Diego Calderon, Xiaoyi Li and 4 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed, 20 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 3 institutions in 2 countries.

Florence M ChardonORCID 0000-0001-8858-989X
Nicholas F Page
Riza M Daza
Beth Martin
Samuel G RegaladoORCID 0000-0002-7793-8924
Jean-Benoît LalanneORCID 0000-0001-8753-0669
Stephan J SandersORCID 0000-0001-9112-5148
University of Washington · USUniversity of California, San Francisco · USHoward Hughes Medical Institute · US

Funding

Massively parallel characterization of variants and elements impacting transcriptional regulation in dynamic cellular systemsUM1HG011966 · NHGRI · UNIVERSITY OF WASHINGTON · PI Nadav Ahituv, Jay Ashok Shendure · 2021 to 2026
$9.7M
2/2 - Identification and Validation of Expression Quantitative Trait Loci (eQTLs) in discrete cell types across human brain developmentU01MH122681 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SANDERS, STEPHAN · 2021 to 2022
$1.2M
NHGRI NIH HHS UM1 HG011966
6 · The paper itself

Abstract

CRISPR-based gene activation (CRISPRa) is a promising therapeutic approach for gene therapy, upregulating gene expression by targeting promoters or enhancers in a tissue/cell-type specific manner. Here, we describe an experimental framework that combines highly multiplexed perturbations with single-cell RNA sequencing (sc-RNA-seq) to identify cell-type-specific, CRISPRa-responsive

Identifiers

PMID37034704
PMCPMC10081248
OpenAlexW4361304639

What OpenQuestion holds

Textmetadata
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.