Evidence map›Paper›PMID 39763922›Full record

ArticlebioRxiv : the preprint server for biology2024

Multiplexed mosaic tumor models reveal natural phenotypic variations in drug response within and between populations.

Johnny X Yu, Jung Min Suh, Katerina D Popova, Kristle Garcia, Tanvi Joshi, Bruce Culbertson, Jessica B Spinelli, Vishvak Subramanyam, Kevin Lou, Kevan M Shokat and 2 more

Abstract 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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Jung Min Suh
Katerina D Popova
Kristle Garcia
Tanvi Joshi
Bruce Culbertson
Jessica B Spinelli
Vishvak Subramanyam
Kevin Lou
Kevan M Shokat
Jonathan Weissman

Funding

Restorative practice in repairing harm and promoting safe and inclusive practices in the laboratory.T32GM136547 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Adrian Erlebacher, Anita Sil · 2020 to 2026
$4.5M
NIGMS NIH HHS T32 GM136547
6 · The paper itself

Abstract

Many agents that show promise in preclinical cancer models lack efficacy in patients due to patient heterogeneity that is not captured in traditional assays. To address this problem, we have developed GENEVA, a platform that measures the molecular and phenotypic consequences of drug perturbations within diverse populations of cancer cells at single-cell resolution, both

Identifiers

PMID39763922
PMCPMC11702557

What Socratic 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 Socratic graph.