Evidence map›Paper›PMID 42205677›Full record

ArticleFrontiers in cell and developmental biology2026

3D Ultrastructural segmentation of human microvasculature reveals new insights in pericyte-endothelial cell interactions.

Timothy E Vanderleest, Joseph F Arboleda-Velasquez

Abstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 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

2 authors.

Timothy E VanderleestSchepens Eye Research Institute of Mass Eye and Ear and the Department of Ophthalmology at Harvard Medical School, Boston, MA, United States.
Joseph F Arboleda-VelasquezSchepens Eye Research Institute of Mass Eye and Ear and the Department of Ophthalmology at Harvard Medical School, Boston, MA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Capillary structure remains incompletely characterized at the nanoscale level. Advances in 3D electron microscopy datasets provide new opportunities to systematically examine microvascular architecture and cellular interactions. Methods: We performed 3D image segmentation of human cerebral cortex microvasculature using the publicly available H01 Release dataset. This initial analysis focused on descriptive and quantitative characterization of the basement membrane, peg-and-socket cell interactions, and other subcellular features. Results: We identified several novel structural features. In addition to known bidirectional peg-and-socket connections between pericytes (PCs) and endothelial cells (ECs), we observed similar structures between neighboring ECs and at interfaces where ECs form junctions with themselves. PC pegs showed an unexpected preference for proximity to EC nuclei and were enriched at PC edges. The PC endoplasmic reticulum (ER) frequently contacted the plasma membrane on the lumen-facing surface, particularly at sites corresponding to sockets of EC pegs. We also identified electron-lucent pockets (ELPs) at interfaces between ECs and PCs, as well as within the basement membrane. Discussion: These findings expand current understanding of capillary ultrastructure by revealing previously unrecognized interactions between vascular cells and novel subcellular features. The observed structural features may have functional implications for signaling, stability, and vascular mechanics, warranting further investigation.

Indexed as

3D reconstruction3D U-netendothelial cellspericytesultrastructure

Identifiers

PMID42205677
PMCPMC13201225

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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.