Evidence map›Paper›PMID 38559037›Full record

ArticlebioRxiv : the preprint server for biology2024

Morphometric Analysis of the Thymic Epithelial Cell (TEC) Network Using Integrated and Orthogonal Digital Pathology Approaches.

Maria K Lagou, Dimitrios G Argyris, Stepan Vodopyanov, Leslie Gunther-Cummins, Alexandros Hardas, Theofilos Poutahidis, Christos Panorias, Sophia DesMarais, Conner Entenberg, Randall S Carpenter and 7 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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, 7 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 3 institutions in 3 countries.

Maria K LagouDepartment of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, NY, USA.ORCID 0000-0002-3247-5495
Dimitrios G ArgyrisDepartment of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, NY, USA.ORCID 0009-0001-9639-4619
Stepan VodopyanovDepartment of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, NY, USA.ORCID 0000-0003-1429-9835
Leslie Gunther-CumminsGruss-Lipper Biophotonics Center, Albert Einstein College of Medicine, Bronx, NY, USA.ORCID 0000-0002-9652-5578
Alexandros HardasDepartment of Pathobiology and Population Sciences, The Royal Veterinary College, North Mymms, Hatfield, United Kingdom.ORCID 0000-0001-9906-7552
Theofilos PoutahidisLaboratory of Pathology, School of Veterinary Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece.ORCID 0000-0002-2951-1811
Christos PanoriasDivision of Statistics and Operational Research, Department of Mathematics, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Sophia DesMaraisDepartment of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, NY, USA.
Conner EntenbergDepartment of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, NY, USA.
Randall S CarpenterDepartment of Cell Biology, Albert Einstein College of Medicine, Bronx, NY, USA.ORCID 0000-0002-0613-6094
Hillary GuzikGruss-Lipper Biophotonics Center, Albert Einstein College of Medicine, Bronx, NY, USA.ORCID 0000-0003-4655-8280
Xheni NishkuGruss-Lipper Biophotonics Center, Albert Einstein College of Medicine, Bronx, NY, USA.
Joseph ChuramanGruss-Lipper Biophotonics Center, Albert Einstein College of Medicine, Bronx, NY, USA.
Maria MaryanovichDepartment of Cell Biology, Albert Einstein College of Medicine, Bronx, NY, USA.ORCID 0000-0002-2015-0538
Vera DesMaraisGruss-Lipper Biophotonics Center, Albert Einstein College of Medicine, Bronx, NY, USA.ORCID 0000-0002-3714-0248
Frank P MacalusoGruss-Lipper Biophotonics Center, Albert Einstein College of Medicine, Bronx, NY, USA.ORCID 0000-0002-5321-6118
George S KaragiannisDepartment of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, NY, USA.ORCID 0000-0002-8808-707X
Albert Einstein College of Medicine · USAristotle University of Thessaloniki · GRRoyal Veterinary College · GB

Funding

WORD PROCESSORP30CA013330 · NCI · YESHIVA UNIVERSITY · PI Ulrich Steidl · 1985 to 2026
$111.2M
Mechanisms of cardiovascular diseaseT32HL144456 · NHLBI · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI Carlos Jose Rodriguez, Nicholas E Sibinga · 2019 to 2026
$1.9M
Field Emission Scanning Electron Microscope for use in a multi-user FacilityS10RR025554 · NCRR · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI SANTAMBROGIO, LAURA · 2010 to 2010
$500k
High Speed, High Resolution Slide Scanner for Research in Translational MedicineS10OD026852 · OD · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI CONDEELIS, JOHN S · 2022 to 2022
$472k
Macrophage regulation of hematopoietic stem cells in the bone marrow nicheF32HL158084 · NHLBI · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI CARPENTER, RANDALL S. · 2021 to 2021
$66k
NCI NIH HHS P30 CA013330NCRR NIH HHS S10 RR025554NHLBI NIH HHS F32 HL158084NHLBI NIH HHS T32 HL144456NIH HHS S10 OD026852
6 · The paper itself

Abstract

The thymus, a central primary lymphoid organ of the immune system, plays a key role in T cell development. Surprisingly, the thymus is quite neglected with regards to standardized pathology approaches and practices for assessing structure and function. Most studies use multispectral flow cytometry to define the dynamic composition of the thymus at the cell population level, but they are limited by lack of contextual insight. This knowledge gap hinders our understanding of various thymic conditions and pathologies, particularly how they affect thymic architecture, and subsequently, immune competence. Here, we introduce a digital pathology pipeline to address these challenges. Our approach can be coupled to analytical algorithms and utilizes rationalized morphometric assessments of thymic tissue, ranging from tissue-wide down to microanatomical and ultrastructural levels. This pipeline enables the quantitative assessment of putative changes and adaptations of thymic structure to stimuli, offering valuable insights into the pathophysiology of thymic disorders. This versatile pipeline can be applied to a wide range of conditions that may directly or indirectly affect thymic structure, ranging from various cytotoxic stimuli inducing acute thymic involution to autoimmune diseases, such as myasthenia gravis. Here, we demonstrate applicability of the method in a mouse model of age-dependent thymic involution, both by confirming established knowledge, and by providing novel insights on intrathymic remodeling in the aged thymus. Our orthogonal pipeline, with its high versatility and depth of analysis, promises to be a valuable and practical toolset for both basic and translational immunology laboratories investigating thymic function and disease.

Identifiers

PMID38559037
PMCPMC10979902
OpenAlexW4392791697

What OpenQuestion holds

Textmetadata
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.