Evidence map›Paper›PMID 40748336›Full record

ArticleJournal of proteome research2025

PSCS: Unified Sharing of Single-Cell Omics Data, Analyses, and Results.

Alexandre Hutton, Lizhuo Ai, Jesse G Meyer

Abstract read
In one paragraph

Article in Journal of proteome research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Vibe Coding Omics Data Analysis Applications.Journal of proteome research · 2026
    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

3 authors.

Alexandre HuttonDepartment of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States.ORCID 0000-0002-7661-686X
Lizhuo AiSmidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States.ORCID 0000-0001-5449-9888
Jesse G MeyerDepartment of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States.ORCID 0000-0003-2753-3926

Funding

Democratizing Multi-Omics to Expedite Discovery of Hidden Metabolic PathwaysR35GM142502 · NIGMS · MEDICAL COLLEGE OF WISCONSIN · PI MEYER, JESSE · 2021 to 2025
$2.2M
NIGMS NIH HHS R35 GM142502
6 · The paper itself

Abstract

Single-cell omics data analyses are complicated to design and difficult to distribute or reproduce. We present a web platform that enables no-code analysis pipeline design, computing, and the sharing of entire data analysis pipelines, their input data, and interactive results as a unit. We expect this platform to improve the accessibility and reproducibility of single-cell omics.

Indexed as

Computational BiologyInformation DisseminationProteomicsSingle-Cell AnalysisSoftwareHumansdata analysisdata distributionproteomicsreproducibilityreusetranscriptomics

Identifiers

PMID40748336
PMCPMC12831219

What OpenQuestion holds

Textmetadata
LicenceTDM
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.