Evidence map›Paper›PMID 41269557›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Single-Cell Spatial Transcriptomic of Sjögren's Disease Salivary Glands.

Charlotte Gandubert, Simon Höllerer, Lisa Sériau, Soizic Garaud, Christelle le Dantec, Valérie Devauchelle-Pensec, Sophie Hillion, Divi Cornec, Marie Frutoso

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

9 authors.

Charlotte GandubertLBAI, UMR1227, Univ Brest, Inserm, Brest, France.
Simon HöllererNovartis Pharma AG, Basel, Switzerland.
Lisa SériauLBAI, UMR1227, Univ Brest, Inserm, Brest, France.
Soizic GaraudLBAI, UMR1227, Univ Brest, Inserm, Brest, France.
Christelle le DantecLBAI, UMR1227, Univ Brest, Inserm, Brest, France.
Valérie Devauchelle-PensecLBAI, UMR1227, Univ Brest, Inserm, Brest, France.
Sophie HillionLBAI, UMR1227, Univ Brest, Inserm, Brest, France.
Divi CornecLBAI, UMR1227, Univ Brest, Inserm, Brest, France.
Marie FrutosoLBAI, UMR1227, Univ Brest, Inserm, Brest, France. marie.frutoso@univ-brest.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sjögren's Disease (SjD) presents a challenge as a chronic, progressive, and systemic autoimmune disorder affecting approximately 0.05% of the population. SjD primarily targets exocrine glands, leading to severe dryness of the mouth and eyes, but can impact multiple organs and increase lymphoma risk. Despite advances in B cell-targeted therapies, no cure exists, and treatment remains symptom-focused, highlighting gaps in our understanding of SjD inflammatory environment. One roadblock to study the heterogeneity of the landscape in affected salivary glands in humans is the limited amount of tissue that is typically available from biopsies of minor salivary glands (MSGs). Spatial transcriptomics has emerged as a cutting-edge approach to address this challenge by preserving tissue architecture and enabling precise mapping of immune and structural cell interactions. This chapter explores how the Visium HD protocol from 10X Genomics can be leveraged to dissect the cellular and molecular landscape of formalin-fixed paraffin-embedded human MSGs, uncovering insights into disease mechanisms and therapeutic opportunities.

Indexed as

Gene Expression ProfilingSalivary GlandsSingle-Cell AnalysisSjogren's SyndromeTranscriptomeHumansBioinformatic analysisHuman FFPE tissueMinor salivary glandsSjögren’s DiseaseSpatial transcriptomicsVisium HD

Identifiers

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.