Evidence map›Paper›PMID 41735278›Full record

ArticleNature communications2026

iCLAP: an innovative method for integrable co-detection of low-abundance antigens with high-plex immunostaining.

Fan Wu, Shuyuan Zheng, Yani Chen, Peijia Ye, Moo Joong Kim, Seojin Lee, Geroge Kuo, Shriya Pillan, Ruihan Yuan, Kyu Sang Han and 15 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 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

25 authors.

Fan WuDepartment of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, Maryland, USA.ORCID http://orcid.org/0009-0003-5109-5118
Shuyuan ZhengDepartment of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, Maryland, USA.
Yani ChenDepartment of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, Maryland, USA.
Peijia YeDepartment of Biomedical Engineering, The Johns Hopkins University, Baltimore, Maryland, USA.
Moo Joong KimDepartment of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, Maryland, USA.
Seojin LeeDepartment of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, Maryland, USA.
Geroge KuoDepartment of Molecular and Cellular Biology, The Johns Hopkins University,, Baltimore, Maryland, USA.
Shriya PillanDepartment of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, Maryland, USA.
Ruihan YuanDepartment of Biomedical Engineering, The Johns Hopkins University, Baltimore, Maryland, USA.ORCID http://orcid.org/0009-0009-4594-640X
Kyu Sang HanDepartment of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, Maryland, USA.
Bofei YuDepartment of Biomedical Engineering, The Johns Hopkins University, Baltimore, Maryland, USA.
Qingfeng ZhuDepartment of Oncology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID http://orcid.org/0000-0001-7871-3359
Sarah M ShinDepartment of Oncology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID http://orcid.org/0000-0002-7658-5899
Courtney D CannonDepartment of Oncology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Gabriele PierreDepartment of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, Maryland, USA.
Kanako IwasakiJoslin Diabetes Center, Harvard Medical School, Boston, Massachusetts, USA.ORCID http://orcid.org/0000-0003-1671-3980
Cristina Aguayo-MazzucatoJoslin Diabetes Center, Harvard Medical School, Boston, Massachusetts, USA.ORCID http://orcid.org/0000-0001-5402-1382
Nicolas MusiDepartment of Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA.
George A KuchelUConn Center on Aging, University of Connecticut, Farmington, Connecticut, USA.ORCID http://orcid.org/0000-0001-8387-7040
Birgit SchillingBuck Institute for Research on Aging, Novato, California, USA.ORCID http://orcid.org/0000-0001-9907-2749
Laura D WoodDepartment of Pathology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Won Jin HoDepartment of Oncology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID http://orcid.org/0000-0003-2644-5086
Robert A AndersDepartment of Oncology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Denis WirtzDepartment of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, Maryland, USA. wirtz@jhu.edu.ORCID http://orcid.org/0000-0001-6147-3045
Pei-Hsun WuDepartment of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, Maryland, USA. pwu@jhu.edu.ORCID http://orcid.org/0000-0002-7371-2960

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI WILLIAM George NELSON · 1985 to 2026
$208.6M
The KAPP-Sen Tissue Mapping Center CollaborativeU54AG075941 · NIA · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI GAROVIC, VESNA D, KUCHEL, GEORGE A · 2021 to 2025
$13.8M
Senescent cell mapping, identification and validation for human somatic and reproductive tissuesU54AG075932 · NIA · BUCK INSTITUTE FOR RESEARCH ON AGING · PI Simon Melov, Birgit Schilling · 2021 to 2026
$12.5M
Tech Core 2U54CA268083 · NCI · JOHNS HOPKINS UNIVERSITY · PI Andrew Josef Ewald · 2022 to 2026
$10.2M
Three-dimensional maps of senescence in the human pancreasUH3CA275681 · NCI · JOHNS HOPKINS UNIVERSITY · PI WU, PEI-HSUN · 2024 to 2025
$1.7M
Engineering self-propelled tumor-infiltrating CAR T cells using synthetic velocity receptorsR01CA300052 · NCI · JOHNS HOPKINS UNIVERSITY · PI Denis Wirtz · 2025 to 2026
$1.3M
Three-dimensional maps of senescence in the human pancreasUG3CA275681 · NCI · JOHNS HOPKINS UNIVERSITY · PI WU, PEI-HSUN · 2022 to 2023
$1.1M
Organ Specific ProjectU54AR081774 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI REDDY, SASHANK K, WIRTZ, DENIS · 2022 to 2023
$1.1M
Mass Cytometer CyTOF XT for Single-Cell BiologyS10OD034407 · OD · JOHNS HOPKINS UNIVERSITY · PI HO, WON JIN · 2024 to 2024
$499k
NCI NIH HHS P30 CA006973NCI NIH HHS R01 CA300052NCI NIH HHS U54 CA268083NCI NIH HHS UG3 CA275681NCI NIH HHS UH3 CA275681NIAMS NIH HHS U54 AR081774NIA NIH HHS U54 AG075932NIA NIH HHS U54 AG075941NIH HHS S10 OD034407U.S. Department of Health & Human Services | National Institutes of Health (NIH) P30CA006973U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01CA300052U.S. Department of Health & Human Services | National Institutes of Health (NIH) U54AG075932U.S. Department of Health & Human Services | National Institutes of Health (NIH) U54AR081774U.S. Department of Health & Human Services | National Institutes of Health (NIH) U54CA268083U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) UG3CA275681U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) UH3CA275681
6 · The paper itself

Abstract

Multiplexed protein imaging enables spatial analysis of complex tissues, but detecting proteins expressed at low levels remains challenging, particularly in widely available formalin-fixed, paraffin-embedded (FFPE) specimens. Many biologically important regulators-including senescence markers, transcription factors, and secreted proteins-are therefore difficult to study in situ using existing high-plex methods. Here we show that integrable Co-detection of Low-Abundant Proteins (iCLAP) enables sensitive and highly multiplexed protein detection within the same FFPE tissue section. iCLAP combines iterative signal amplification with efficient fluorophore inactivation, enabling repeated staining of the same tissue section and seamless integration with established multiplex imaging platforms to achieve profiling of more than 40 markers. Application of iCLAP to human pancreatic tissues revealed spatially distinct senescence-associated protein patterns across tissue compartments. Together, iCLAP expands the analytical capabilities of FFPE tissues, enabling high-sensitivity, high-dimensional spatial proteomic studies of complex biological processes.

Indexed as

AntigensImmunohistochemistryProteomicsAnimalsFormaldehydeHumansPancreasParaffin EmbeddingTissue FixationAntigensFormaldehyde

Identifiers

PMID41735278
PMCPMC13039418

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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.