Evidence map›Paper›PMID 42812178›Full record

ArticlebioRxiv : the preprint server for biology2026

Multimodal Imaging of the Cellular and Extracellular Microenvironment on the Same Formalin-Fixed Paraffin-Embedded Tissue Section.

Jade K Macdonald, Thai Pham, Alan J Simmons, Harsimran Kaur, Jamie L Allen, Anna J Smith, Audra M Judd, Seung Woo Kang, Madeline E Colley, Melissa A Farrow and 2 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

12 authors.

Jade K MacdonaldDepartment of Cell and Developmental Biology, Vanderbilt University, Nashville, Tennessee 37232, United States.ORCID 0000-0002-8182-1366
Thai PhamDepartment of Cell and Developmental Biology, Vanderbilt University, Nashville, Tennessee 37232, United States.ORCID 0000-0002-6124-7678
Alan J SimmonsDepartment of Cell and Developmental Biology, Vanderbilt University, Nashville, Tennessee 37232, United States.
Harsimran KaurDepartment of Cell and Developmental Biology, Vanderbilt University, Nashville, Tennessee 37232, United States.ORCID 0000-0003-2667-1091
Jamie L AllenMass Spectrometry Research Center, Vanderbilt University, Nashville, Tennessee 37232, United States.
Anna J SmithMass Spectrometry Research Center, Vanderbilt University, Nashville, Tennessee 37232, United States.
Audra M JuddMass Spectrometry Research Center, Vanderbilt University, Nashville, Tennessee 37232, United States.
Seung Woo KangDepartment of Cell and Developmental Biology, Vanderbilt University, Nashville, Tennessee 37232, United States.ORCID 0009-0003-4328-5683
Madeline E ColleyDepartment of Cell and Developmental Biology, Vanderbilt University, Nashville, Tennessee 37232, United States.ORCID 0000-0002-9515-3493
Melissa A FarrowDepartment of Cell and Developmental Biology, Vanderbilt University, Nashville, Tennessee 37232, United States.ORCID 0000-0002-1602-2082
Ken S LauDepartment of Cell and Developmental Biology, Vanderbilt University, Nashville, Tennessee 37232, United States.ORCID 0000-0001-8438-0319
Jeffrey M SpragginsDepartment of Cell and Developmental Biology, Vanderbilt University, Nashville, Tennessee 37232, United States.ORCID 0000-0001-9198-5498

Funding

Integrated Biological Systems Training in OncologyT32CA119925 · NCI · VANDERBILT UNIVERSITY · PI Vivian Gama, William Patrick Tansey · 2008 to 2026
$7.6M
A Multimodal 3D Atlas of Colorectal Cancer Across Ages of OnsetU01CA294527 · NCI · VANDERBILT UNIVERSITY · PI LAU, KEN S, SPRAGGINS, JEFFREY M · 2024 to 2025
$5.2M
Tuft cell heterogeneity in function, lineage, and structure in ileal inflammatory diseaseR01DK103831 · NIDDK · VANDERBILT UNIVERSITY · PI LAU, KEN S · 2016 to 2024
$4.4M
Multimodal Imaging Mass Spectrometry and Spatial Omics for the Human KidneyU01DK133766 · NIDDK · VANDERBILT UNIVERSITY · PI Jeffrey M Spraggins · 2022 to 2026
$3.4M
NCI NIH HHS T32 CA119925NCI NIH HHS U01 CA294527NIDDK NIH HHS R01 DK103831NIDDK NIH HHS U01 DK133766
6 · The paper itself

Abstract

Same-tissue section multimodal imaging is a powerful strategy that spatially profiles tissue histology, cell populations and molecular composition while maximizing tissue economy, preserving spatial molecular relationships, and increasing co-registration capacity. However, performing multiple modalities on the same tissue section can destroy or chemically alter the tissue, compromising downstream data. Here, we systematically assess integration of picrosirius red staining, hematoxylin and eosin staining, and multiplexed immunofluorescence into N-glycan and extracellular matrix peptide matrix-assisted laser/desorption ionization imaging mass spectrometry (IMS) workflows. We evaluate alterations in tissue morphology, stain efficiency, IMS feature intensity as well as IMS feature localization after upstream modality integration. We propose an optimized multimodal sequence that maximizes data quality and follows a very specific order of: autofluorescence microscopy, multiplexed immunofluorescence, picrosirius red staining, N-glycan IMS, hematoxylin and eosin staining, and extracellular matrix peptide IMS. Overall, this work develops an optimized multimodal workflow that comprehensively images tissue morphology, collagen fibers, and cell populations at single-cell resolution as well as multiplexed N-glycan composition and multiplexed extracellular matrix peptides with post-translational modification status from a single tissue section.

Indexed as

CollagenExtracellular MatrixImagingMultimodal ImagingSpatial Proteomics

Identifiers

PMID42812178
PMCPMC13618655

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.