Evidence map›Paper›PMID 42509025›Full record

ArticleLife science alliance2026

Fishing with two lines: a hybrid approach to spatial transcriptomics discovery.

Arianna L Williams-Katek, Saahithi Mallapragada, Evan D Mee, Brandon K Fischer, Annika Vannan, Laurie C Eldredge, Gail H Deutsch, Jonathan A Kropski, Jennifer Ms Sucre, Nicholas E Banovich

Abstract read
In one paragraph

Article in Life science alliance, 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

5 · Who and what money

Authors and funding

10 authors.

Arianna L Williams-KatekDivision of Bioinnovation and Genome Sciences, Translational Genomics Research Institute (TGen), Phoenix, AZ, USA awilliams@tgen.org.ORCID https://orcid.org/0009-0002-2725-0221
Saahithi MallapragadaDivision of Bioinnovation and Genome Sciences, Translational Genomics Research Institute (TGen), Phoenix, AZ, USA.ORCID https://orcid.org/0009-0004-4188-9608
Evan D MeeDivision of Bioinnovation and Genome Sciences, Translational Genomics Research Institute (TGen), Phoenix, AZ, USA.
Brandon K FischerDivision of Bioinnovation and Genome Sciences, Translational Genomics Research Institute (TGen), Phoenix, AZ, USA.
Annika VannanDivision of Bioinnovation and Genome Sciences, Translational Genomics Research Institute (TGen), Phoenix, AZ, USA.ORCID https://orcid.org/0000-0001-7796-5597
Laurie C EldredgeDivision of Pulmonary and Sleep Medicine, Department of Pediatrics, University of Washington School of Medicine, Seattle, WA, USA.ORCID https://orcid.org/0000-0001-6606-5366
Gail H DeutschSeattle Children's Hospital, Seattle, WA, USA.ORCID https://orcid.org/0000-0002-0571-0285
Jonathan A KropskiDepartment of Cell and Developmental Biology, Vanderbilt University, Nashville, TN, USA.
Jennifer Ms SucreDepartment of Cell and Developmental Biology, Vanderbilt University, Nashville, TN, USA.
Nicholas E BanovichDivision of Bioinnovation and Genome Sciences, Translational Genomics Research Institute (TGen), Phoenix, AZ, USA nbanovich@tgen.org.

Funding

Spatiotemporal genomic regulation of disease initiation and progression in pulmonary fibrosisR01HL145372 · NHLBI · TRANSLATIONAL GENOMICS RESEARCH INST · PI Nicholas Eli Banovich, Jonathan Andrew Kropski · 2019 to 2026
$6.0M
Integrated analysis of multi-omic QTLs at single cell resolutionR01HG011886 · NHGRI · TRANSLATIONAL GENOMICS RESEARCH INST · PI BANOVICH, NICHOLAS ELI · 2022 to 2025
$2.9M
Unraveling the molecular origins of chronic parenchymal lung diseasesU01HL175444 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Nicholas Eli Banovich, Jonathan Andrew Kropski · 2024 to 2026
$2.8M
NHGRI NIH HHS R01 HG011886NHLBI NIH HHS R01 HL145372NHLBI NIH HHS U01 HL175444
6 · The paper itself

Abstract

Spatial transcriptomics faces a trade-off between the number of genes assayed and depth of per-gene sensitivity. We developed a "dual-chemistry" method that combines the high sensitivity of a 10x Genomics Xenium V1 custom panel (up to 480 genes) with the broad coverage of the Prime 5K panel (5,001 genes) on a single tissue section. This involved co-hybridizing Prime and V1 probes and sequentially running the V1 and Prime decoding chemistries. Applied to a human lung tissue microarray, we observed high concordance between the V1 and Prime chemistries when run independently (on serial sections) and the dual-chemistry runs. Overlapping genes (profiled on both V1 and Prime chemistries) showed similar expression patterns in the dual run demonstrating the fidelity of the assay. By combining information from both the V1 and Prime chemistries within the same cell, we retain more cells, gain valuable additional information, and enable both high-sensitivity profiling and discovery.

Indexed as

Gene Expression ProfilingGenomicsHumansLungOligonucleotide Array Sequence AnalysisSpatial TranscriptomicsTissue Array AnalysisTranscriptome

Identifiers

PMID42509025
PMCPMC13404378

What OpenQuestion holds

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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.