Evidence map›Paper›PMID 40197307›Full record

ArticleGenome biology2025

Benchmark of cellular deconvolution methods using a multi-assay dataset from postmortem human prefrontal cortex.

Louise A Huuki-Myers, Kelsey D Montgomery, Sang Ho Kwon, Sophia Cinquemani, Nicholas J Eagles, Daianna Gonzalez-Padilla, Sean K Maden, Joel E Kleinman, Thomas M Hyde, Stephanie C Hicks and 2 more

Abstract readDataset
In one paragraph

Article in Genome biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Integration of Bulk and Single-Cell RNA Sequencing Analyses in Biomedicine.International journal of molecular sciences · 2026
    Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. bioRxiv : the preprint server for biology · 2025
    Article
  13. Cellular and molecular associations with intrinsic brain organization.bioRxiv : the preprint server for biology · 2025
    Article
  14. Transcriptomic Analysis of the Human Habenula in Schizophrenia.The American journal of psychiatry · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Louise A Huuki-Myers *Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, 21205, USA.
Kelsey D Montgomery *Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, 21205, USA.
Sang Ho KwonLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, 21205, USA.
Sophia CinquemaniLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, 21205, USA.
Nicholas J EaglesLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, 21205, USA.
Daianna Gonzalez-PadillaLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, 21205, USA.
Sean K MadenDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA.
Joel E KleinmanLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, 21205, USA.
Thomas M HydeLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, 21205, USA.
Stephanie C HicksDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA.
Kristen R MaynardLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, 21205, USA. kristen.maynard@libd.org.
Leonardo Collado-TorresLieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, 21205, USA. lcolladotor@gmail.com.ORCID http://orcid.org/0000-0003-2140-308X

Funding

Integrative Genomics of the Corticolimbic Circuit in Major Depressive DisorderR01MH111721 · NIMH · JOHNS HOPKINS UNIVERSITY · PI GOES, FERNANDO SAMPAIO, HYDE, THOMAS MICHAEL · 2017 to 2021
$4.2M
Integrative cellular deconvolution of human brain RNA sequencing dataR01MH123183 · NIMH · LIEBER INSTITUTE, INC. · PI HICKS, STEPHANIE CARINNE, MAYNARD, KRISTEN ROSE · 2020 to 2023
$2.3M
NIMH NIH HHS R01 MH111721NIMH NIH HHS R01MH111721NIMH NIH HHS R01 MH123183NIMH NIH HHS R01MH123183
6 · The paper itself

Abstract

Cellular deconvolution of bulk RNA-sequencing data using single cell/nuclei RNA-seq reference data is an important strategy for estimating cell type composition in heterogeneous tissues, such as the human brain. Here, we generate a multi-assay dataset in postmortem human dorsolateral prefrontal cortex from 22 tissue blocks, including bulk RNA-seq, reference snRNA-seq, and orthogonal measurement of cell type proportions with RNAScope/ImmunoFluorescence. We use this dataset to evaluate six deconvolution algorithms. Bisque and hspe were the most accurate methods. The dataset, as well as the Mean Ratio gene marker finding method, is made available in the DeconvoBuddies R/Bioconductor package.

Indexed as

Prefrontal CortexAlgorithmsAutopsyHumansRNA-SeqSequence Analysis, RNASingle-Cell Gene Expression AnalysisBenchmarkDeconvolutionHuman brainImmunofluorescenceMulti-assayRNAScopeRNA-seqsmFISHsnRNA-seqTranscriptomics

Identifiers

PMID40197307
PMCPMC11978107

What Socratic holds

Textmetadata
LicenceCC BY
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.