Evidence map›Paper›PMID 41903186›Full record

ArticleBriefings in bioinformatics2026

Spotting a unicorn: spatial transcriptome analysis of the eyelid reveals gene regulatory networks enriched in Moll glands.

Tomas Konecny, Hans Binder, Ulrike Hampel, Florian Hansmann, Helga Pfannkuche, Marlon R Schneider

Abstract read
In one paragraph

Article in Briefings in bioinformatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

6 authors.

Tomas KonecnyInterdisciplinary Centre for Bioinformatics (IZBI), University of Leipzig, Härtelstr. 16-18, 04107 Leipzig, Germany.ORCID 0000-0003-2311-6092
Hans BinderInterdisciplinary Centre for Bioinformatics (IZBI), University of Leipzig, Härtelstr. 16-18, 04107 Leipzig, Germany.ORCID 0000-0002-2242-4678
Ulrike HampelDepartment of Ophthalmology, University Hospital Leipzig, Liebigstraβe 10-14, 04103 Leipzig, Germany.ORCID 0000-0001-7562-0421
Florian HansmannInstitute of Veterinary Pathology, Veterinary Faculty, University of Leipzig, An den Tierkliniken 33, 04103 Leipzig, Germany.ORCID 0000-0001-6064-7728
Helga PfannkucheInstitute of Veterinary Physiology, Veterinary Faculty, University of Leipzig, An den Tierkliniken 7, 04103 Leipzig, Germany.ORCID 0000-0002-1589-3724
Marlon R SchneiderInstitute of Veterinary Physiology, Veterinary Faculty, University of Leipzig, An den Tierkliniken 7, 04103 Leipzig, Germany.ORCID 0000-0002-9570-3491

Funding

Higher Education and Science Committee of the Republic of Armenia 25RL-1F024F005
6 · The paper itself

Abstract

Moll glands, found in the margin of the eyelid next to the base of the eyelashes, are likely to play an important role in maintaining the tear film and therefore in securing adequate visual function. However, information about their secretion and its regulation is extremely scarce. Here, we subjected spatial transcriptome data of the human eyelid to bioinformatics workflows incorporating machine learning to shed light on the Moll-specific transcriptional program. We identified Moll-specific genes such as HPD, CYP4Z1, PIP, GLYATL2, or SCGB2A2, which delineate a transcriptional core, i.e. not shared with other eyelid elements. Gene ontology enrichment analyses further depicted the biological functions of the Moll gland transcriptional programs, which include tyrosine metabolism and biosynthesis, extracellular exosome, small molecule metabolism, and erythrose 4-phosphate/phosphoenolpyruvate-family amino acid metabolism. Expression of GLYATL2 and HPD, identified as a specific and sensitive transcripts in the Moll gland transcriptome, was confirmed by immunofluorescence in the eyelid of four different patients, thus supporting the validity of our approach. Collectively, these results indicate that Moll-associated gene sets exhibit distinct but complementary functional programs, reflecting the gland's specialized metabolic capacity and secretory function within the eyelid tissue microenvironment. Our study provides the first in-depth analysis of the human Moll gland transcriptional landscape and identifies novel targets for regulating Moll gland homeostasis in health and disease.

Indexed as

EyelidsGene Expression ProfilingGene Regulatory NetworksTranscriptomeComputational BiologyHumansSpatial TranscriptomicseyelidMoll glandself-organizing map portrayalspatial transcriptomics

Identifiers

PMID41903186
PMCPMC13032825

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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.