Evidence map›Paper›PMID 41474626›Full record

ArticleThe Journal of cell biology2026

Surface Morphometrics reveals local membrane thickness variation in organellar subcompartments.

Michaela Medina, Ya-Ting Chang, Hamidreza Rahmani, Mark Frank, Zidan Khan, Daniel Fuentes, Frederick A Heberle, M Neal Waxham, Benjamin A Barad, Danielle A Grotjahn

Abstract read
In one paragraph

Article in The Journal of cell biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
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  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Michaela Medina *Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA.ORCID 0000-0001-6346-5137
Ya-Ting Chang *Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA.ORCID 0000-0003-2580-4622
Hamidreza RahmaniDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA.ORCID 0000-0003-0222-6989
Mark FrankDepartment of Chemical Physiology and Biochemistry, School of Medicine, Oregon Health & Science University, Portland, OR, USA.ORCID 0000-0001-9179-6881
Zidan KhanDepartment of Chemistry, University of Tennessee, Knoxville, TN, USA.ORCID 0009-0000-4848-2705
Daniel FuentesDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA.ORCID 0000-0002-9687-0902
Frederick A HeberleDepartment of Chemistry, University of Tennessee, Knoxville, TN, USA.ORCID 0000-0002-0424-3240
M Neal WaxhamDepartment of Neurobiology and Anatomy, McGovern Medical School, UTHSC-Houston, Houston, TX, USA.ORCID 0000-0003-4801-1190
Benjamin A BaradDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA.ORCID 0000-0002-1016-862X
Danielle A GrotjahnDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA.ORCID 0000-0001-5908-7882

Funding

Defining Endoplasmic Reticulum Stress-Development Mitochondria RemodelingRF1NS125674 · NINDS · SCRIPPS RESEARCH INSTITUTE, THE · PI WISEMAN, ROCKLAND LUKE · 2022 to 2022
$2.4M
Coupling of lateral and transverse organization in complex biomembranesR01GM138887 · NIGMS · UNIVERSITY OF TENNESSEE KNOXVILLE · PI HEBERLE, FREDERICK A, WAXHAM, M. NEAL · 2020 to 2023
$1.7M
Interdisciplinary Training in Microbial Pathogenesis and ImmunologyT32AI170496 · NIAID · OREGON HEALTH & SCIENCE UNIVERSITY · PI Patrizia Caposio, Scott M Landfear · 2023 to 2026
$1.5M
Defining Endoplasmic Reticulum Stress-Development Mitochondria RemodelingR01NS125674 · NINDS · SCRIPPS RESEARCH INSTITUTE, THE · PI Rockland Luke Wiseman · 2025 to 2026
$1.4M
High-speed direct detector for cryo electron microscopyS10OD032467 · OD · SCRIPPS RESEARCH INSTITUTE, THE · PI LANDER, GABRIEL C · 2022 to 2022
$600k
Achievement Rewards for College Scientists FoundationCollins Medical TrustDamon Runyon Cancer Foundation DRR-65-21National Institute of Allergy and Infectious Disease 5T32AI170496-03NIAID NIH HHS T32 AI170496NIGMS NIH HHS R01 GM138887NIH HHS R01GM138887NIH HHS RF1NS125674NIH HHS S10 OD032467NIH HHS S10OD032467NINDS NIH HHS R01 NS125674NINDS NIH HHS RF1 NS125674Wiliam Wheless III Endowment
6 · The paper itself

Abstract

Lipid bilayers form the basis of organellar architecture, structure, and compartmentalization in the cell. Decades of biophysical, biochemical, and imaging studies on purified or in vitro-reconstituted liposomes have shown that variations in lipid composition influence the physical properties of membranes, such as thickness and curvature. However, similar studies characterizing these membrane properties within the native cellular context have remained technically challenging. Recent advancements in cellular cryo-electron tomography (cryo-ET) imaging enable high-resolution, three-dimensional views of native organellar membrane architecture preserved in near-native conditions. We previously developed a "Surface Morphometrics" pipeline that generates surface mesh reconstructions to model and quantify cellular membrane ultrastructure from cryo-ET data. Here, we expand this pipeline to measure the distance between the phospholipid head groups of the membrane bilayer as a readout of membrane thickness. Using this approach, we demonstrate thickness variations both within and between distinct organellar membranes. We show that organellar membrane thickness positively correlates with other features, such as membrane curvedness, in cells. Further, we show that subcompartments of the mitochondrial inner membrane exhibit varying membrane thicknesses that are independent of whether the mitochondria are in fragmented or elongated networks. We also demonstrate that our technique, when applied to three-dimensional data, yields results that match existing measurements obtained from two-dimensional data of in vitro samples. Finally, we demonstrate that large membrane-associated macromolecular complexes exhibit distinct density profiles that correlate with local variations in membrane thickness. Overall, our updated Surface Morphometrics pipeline provides a framework for investigating how changes in membrane composition in various cellular and disease contexts affect organelle ultrastructure and function.

Indexed as

Cell MembraneLipid BilayersMitochondriaMitochondrial MembranesOrganellesCryoelectron MicroscopyElectron Microscope TomographyHumansLipid Bilayers

Identifiers

PMID41474626
PMCPMC12755900

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.