Evidence map›Paper›PMID 42853502›Full record

ArticleNeuroinformatics2026

Testing the Transferability of Perturbational Similarity Maps Across Species, Cell Systems, and Assay Modalities.

Jing Wen

Abstract read
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In one paragraph

Article in Neuroinformatics, 2026. 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

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

1 author.

Jing WenMedical Affairs Department, Guiyang Maternal and Child Health Care Hospital, Guiyang, 550003, Guizhou, China. loyys102202@163.com.ORCID http://orcid.org/0009-0002-4779-2394

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We evaluated a mouse whole-brain perturbation map in human K562 and RPE1 Perturb-seq, HeLa morphology and nine L1000 cell-line matrices using three endpoints: global pair-rank concordance, source-defined top-k neighbour preservation, and within-validation CORUM retrieval. Strict orthology retained 71, 90, 695 and 273-311 shared targets, respectively. Under the primary zero-anchored RMS representation, Spearman rho was 0.026 and 0.035 in K562 and RPE1, 0.0022 and 0.0055 in the two HeLa conditions, and a median of 0.0055 across L1000 lines. RPE1 depended on representation: across-target standardisation gave rho = 0.102 (95% CI, 0.027-0.201), whereas omitting feature RMS scaling gave a descriptive rho = -0.034. No source-defined top-10 neighbour preservation result survived correction across 13 contexts (minimum q = 0.240). Source pair ranks also changed when response features were restricted. Within-validation CORUM retrieval identified complex structure in several external matrices but did not test preservation of source neighbours. Across 50 cell splits, K562/RPE1 median global rho was 0.600/0.710 and top-10 overlap was 0.497/0.517. Across 50 mouse-level splits of K562/RPE1-matched source profiles, median global rho was 0.731/0.703; a cross-species noise ceiling remains unestimated. The results are conditional on representation and feature selection and do not establish absence of transfer or transferability to neural systems.

Indexed as

BrainAnimalsHeLa CellsHumansK562 CellsMiceSpecies SpecificityNeuroinformaticsPerturbation atlasPerturb-seqProtein-complex retrievalRepresentation transferReproducibility

Identifiers

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Registered trials

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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.