Evidence map›Paper›PMID 40166546›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Leveraging tissue-resident memory T cells for non-invasive immune monitoring via microneedle skin patches.

Sasan Jalili, Ryan R Hosn, Wei-Che Ko, Khashayar Afshari, Ashok Kumar Dhinakaran, Namit Chaudhary, Laura Maiorino, Nazgol Haddadi, Anusha Nathan, Matthew A Getz and 5 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. 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

15 authors.

Sasan JaliliKoch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.ORCID 0000-0002-5004-893X
Ryan R HosnKoch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Wei-Che KoDepartment of Dermatology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA.
Khashayar AfshariDepartment of Dermatology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA.
Ashok Kumar DhinakaranJackson Laboratory for Genomic Medicine, Farmington, CT, USA.
Namit ChaudharyKoch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Laura MaiorinoKoch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Nazgol HaddadiDepartment of Dermatology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA.
Anusha NathanRagon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA, 02139, USA.
Matthew A GetzRagon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA, 02139, USA.
Gaurav D GaihaRagon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA, 02139, USA.
Mehdi RashighiDepartment of Dermatology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA.ORCID 0000-0002-9170-5887
John E HarrisDepartment of Dermatology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA.
Paula T HammondKoch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.ORCID 0000-0002-9835-192X
Darrell J IrvineKoch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.ORCID 0000-0002-8637-1405

Funding

VIRUS PRODUCTION COREP30CA014051 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Jacqueline A. Lees · 1985 to 2026
$93.9M
Predictive drivers of new onset, relapse, and progression of human autoimmunity in skinU01AI176310 · NIAID · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI Manuel Garber, John E Harris · 2023 to 2026
$5.3M
NCI NIH HHS P30 CA014051NIAID NIH HHS U01 AI176310
6 · The paper itself

Abstract

Detecting antigen-specific lymphocytes is crucial for immune monitoring in the setting of vaccination, infectious disease, cancer, and autoimmunity. However, their low frequency and dispersed distribution across lymphoid organs, peripheral tissues, and blood pose challenges for reliable detection. To address this issue, we developed a strategy exploiting the functions of tissue-resident memory T cells (T

Identifiers

PMID40166546
PMCPMC11957092

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.