Evidence map›Paper›PMID 42794611›Full record

ArticleInternational journal of molecular sciences2026

Fail-Closed Validation of Lineage-Associated Transcript-Count Diversity After IFN-β Stimulation in a Public Human PBMC Dataset.

Roberto Navarro Quiroz, Katherine Escorcia Lindo, Andrea Jaruffe Pinilla, Yirys Díaz-Olmos, Cecilia Fernández-Ponce, Eloina Zarate Peñata, Yesit Bello Lemus, Lisandro Pacheco Lugo, Leonardo Pacheco Londoño, Antonio Acosta Hoyos and 4 more

Abstract read
In one paragraph

Article in International journal of molecular sciences, 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

14 authors.

Roberto Navarro QuirozCenter for Research in Critical Dynamics, Barranquilla 080002, Colombia.ORCID 0000-0002-3604-3702
Katherine Escorcia LindoCentro de Investigaciones en Ciencias de la Vida (CICV), Facultad de Ciencias Básicas y Biomédicas, Universidad Simón Bolívar, Barranquilla 080002, Colombia.ORCID 0000-0002-3135-6101
Andrea Jaruffe PinillaCentro de Investigaciones en Ciencias de la Vida (CICV), Facultad de Ciencias Básicas y Biomédicas, Universidad Simón Bolívar, Barranquilla 080002, Colombia.
Yirys Díaz-OlmosPrograma de Medicina, División de Ciencias de la Salud, Universidad del Norte, Barranquilla 081007, Colombia.
Cecilia Fernández-PonceInstituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), 11009 Cádiz, Spain.ORCID 0000-0002-0027-1703
Eloina Zarate PeñataCentro de Investigaciones en Ciencias de la Vida (CICV), Facultad de Ciencias Básicas y Biomédicas, Universidad Simón Bolívar, Barranquilla 080002, Colombia.
Yesit Bello LemusCentro de Investigaciones en Ciencias de la Vida (CICV), Facultad de Ciencias Básicas y Biomédicas, Universidad Simón Bolívar, Barranquilla 080002, Colombia.
Lisandro Pacheco LugoCentro de Investigaciones en Ciencias de la Vida (CICV), Facultad de Ciencias Básicas y Biomédicas, Universidad Simón Bolívar, Barranquilla 080002, Colombia.ORCID 0000-0002-9248-4596
Leonardo Pacheco LondoñoCentro de Investigaciones en Ciencias de la Vida (CICV), Facultad de Ciencias Básicas y Biomédicas, Universidad Simón Bolívar, Barranquilla 080002, Colombia.ORCID 0000-0002-5770-3706
Antonio Acosta HoyosCentro de Investigaciones en Ciencias de la Vida (CICV), Facultad de Ciencias Básicas y Biomédicas, Universidad Simón Bolívar, Barranquilla 080002, Colombia.
Nataly Galan FreyleCentro de Investigaciones en Ciencias de la Vida (CICV), Facultad de Ciencias Básicas y Biomédicas, Universidad Simón Bolívar, Barranquilla 080002, Colombia.ORCID 0000-0002-2096-7900
Katy Elena Retamoza ChamorroFacultad de Ciencias de la Salud, Universidad de la Costa-CUC, Barranquilla 080002, Colombia.
Jose Luis Villarreal-CamachoFacultad de Ciencias de la Salud, Exactas y Naturales, Universidad Libre, Barranquilla P.O. Box 1752, Colombia.
Elkin Navarro QuirozCentro de Investigaciones en Ciencias de la Vida (CICV), Facultad de Ciencias Básicas y Biomédicas, Universidad Simón Bolívar, Barranquilla 080002, Colombia.ORCID 0000-0001-7567-6409

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shannon entropy of single-cell transcript counts reflects composition and sampling. We tested whether interferon-beta (IFN-β) stimulation was associated with donor-consistent diversity changes after employing technical controls. We reanalyzed GSE96583 peripheral blood mononuclear cells from eight donors with lupus, treating donors-not the 8949 target cells obtained from them-as inferential units. Analyses included sampling without replacement at 562 unique molecular identifiers, a 750-molecule sensitivity analysis, Miller-Madow correction, IFN-gene removal, and exact compositional decomposition. Mean paired-donor raw-count plug-in entropy increased by 0.138 bits in CD14+ monocytes and 0.329 bits in FCGR3A+ monocytes and decreased by 0.080 bits in natural killer cells. Directions persisted across prespecified robustness variants. Monocyte increases accompanied higher evenness and lower transcript dominance; natural killer cells showed the opposite pattern, without consistent richness changes. Adding IFN activity to donor-, condition-, and technical-covariate-adjusted models increased R

Indexed as

Cell LineageInterferon-betaLeukocytes, MononuclearLupus Erythematosus, SystemicEntropyHumansKiller Cells, NaturalMonocytesInterferon-betadonor-aware inferenceinterferon-betaPBMCpseudobulkrarefactionShannon entropysingle-cell RNA sequencingtechnical validation

Identifiers

PMID42794611
PMCPMC13607742

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.