Evidence map›Paper›PMID 39220563›Full record

ArticleSmall structures2024

Data-Driven and Cell-Specific Determination of Nuclei-Associated Actin Structure.

Nina Nikitina, Nurbanu Bursa, Matthew Goelzer, Madison Goldfeldt, Chase Crandall, Sean Howard, Janet Rubin, Anamaria Zavala, Aykut Satici, Gunes Uzer

Abstract read
In one paragraph

Article in Small structures, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Nina NikitinaBoise State University.
Nurbanu BursaUniversity of Idaho.
Matthew GoelzerOral Roberts University.
Madison GoldfeldtBoise State University.
Chase CrandallBoise State University.
Sean HowardBoise State University.
Janet RubinUniversity of North Carolina at Chapel Hill.
Anamaria ZavalaBoise State University.
Aykut SaticiBoise State University.
Gunes UzerBoise State University.

Funding

VPS35 D620N inhibits autophagy through disrupted hyaluronic acid-CD44 signalingP20GM109095 · NIGMS · BOISE STATE UNIVERSITY · PI OCHOA-REPARAZ, JAVIER · 2014 to 2023
$22.7M
Optimizing Deep Brain Stimulation for Parkinson's Disease.P20GM148321 · NIGMS · BOISE STATE UNIVERSITY · PI Javier Ochoa-Reparaz · 2023 to 2026
$10.2M
Role of force regulated nuclear structure in expression of osteogenesisR01AR075803 · NIAMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI RUBIN, JANET E · 2020 to 2024
$2.4M
Role of LINC-mediated Mechanosignaling in MSC AgingR01AG059923 · NIA · BOISE STATE UNIVERSITY · PI UZER, GUNES · 2020 to 2024
$1.6M
Live Cell Imaging System for Biomechanics and Mechanobiology ResearchS10OD032354 · OD · BOISE STATE UNIVERSITY · PI UZER, GUNES · 2022 to 2022
$233k
NIAMS NIH HHS R01 AR075803NIA NIH HHS R01 AG059923NIGMS NIH HHS P20 GM109095NIGMS NIH HHS P20 GM148321NIH HHS S10 OD032354
6 · The paper itself

Abstract

Quantitative and volumetric assessment of filamentous actin fibers (F-actin) remains challenging due to their interconnected nature, leading researchers to utilize threshold based or qualitative measurement methods with poor reproducibility. Here we introduce a novel machine learning based methodology for accurate quantification and reconstruction of nuclei-associated F-actin. Utilizing a Convolutional Neural Network (CNN), we segment actin filaments and nuclei from 3D confocal microscopy images and then reconstruct each fiber by connecting intersecting contours on cross-sectional slices. This allowed measurement of the total number of actin filaments and individual actin filament length and volume in a reproducible fashion. Focusing on the role of F-actin in supporting nucleocytoskeletal connectivity, we quantified apical F-actin, basal F-actin, and nuclear architecture in mesenchymal stem cells (MSCs) following the disruption of the Linker of Nucleoskeleton and Cytoskeleton (LINC) Complexes. Disabling LINC in mesenchymal stem cells (MSCs) generated F-actin disorganization at the nuclear envelope characterized by shorter length and volume of actin fibers contributing a less elongated nuclear shape. Our findings not only present a new tool for mechanobiology but introduce a novel pipeline for developing realistic computational models based on quantitative measures of F-actin.

Indexed as

cytoskeletonF-actinLINCmachine learningmechanobiologynuclear envelope

Identifiers

PMID39220563
PMCPMC11361466

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Registered trials

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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.