Evidence map›Paper›PMID 28570536›Full record

ArticleJournal of visualized experiments : JoVE2017

Isolation of Intermediate Filament Proteins from Multiple Mouse Tissues to Study Aging-associated Post-translational Modifications.

Rachel A Battaglia, Parijat Kabiraj, Helen H Willcockson, Melinda Lian, Natasha T Snider

Open access · greenAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2017. 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
0.4field-weighted citation impact, top 41% of its field
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, 5 citations in OpenAlex.

  1. Article
  2. An image-based small-molecule screen identifies vimentin as a pharmacologically relevant target of simvastatin in cancer cells.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2018
    Article
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

5 authors at 1 institution in 1 country.

Rachel A BattagliaDepartment of Cell Biology and Physiology, School of Medicine, University of North Carolina at Chapel Hill.
Parijat KabirajDepartment of Cell Biology and Physiology, School of Medicine, University of North Carolina at Chapel Hill.
Helen H WillcocksonDepartment of Cell Biology and Physiology, School of Medicine, University of North Carolina at Chapel Hill.
Melinda LianDepartment of Cell Biology and Physiology, School of Medicine, University of North Carolina at Chapel Hill.
Natasha T SniderDepartment of Cell Biology and Physiology, School of Medicine, University of North Carolina at Chapel Hill; natasha_snider@med.unc.edu.
University of North Carolina at Chapel Hill · US

Funding

PILOT AND FEASIBILITY STUDIESP30DK034987 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ROBERT S. SANDLER · 1985 to 2026
$30.5M
CD73 is a multi-functional protein that regulates liver injuryR01DK110355 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SNIDER, NATASHA T · 2017 to 2021
$1.8M
Keratin sumoylation and its function during hepatocyte stress and liver diseaseK01DK093776 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SNIDER, NATASHA T · 2011 to 2015
$586k
Role of cellular metabolism in keratin variant-mediated liver disease progressionR03DK102450 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SNIDER, NATASHA T · 2014 to 2015
$154k
NIDDK NIH HHS K01 DK093776NIDDK NIH HHS P30 DK034987NIDDK NIH HHS R01 DK110355NIDDK NIH HHS R03 DK102450
6 · The paper itself

Abstract

Intermediate filaments (IFs), together with actin filaments and microtubules, form the cytoskeleton - a critical structural element of every cell. Normal functioning IFs provide cells with mechanical and stress resilience, while a dysfunctional IF cytoskeleton compromises cellular health and has been associated with many human diseases. Post-translational modifications (PTMs) critically regulate IF dynamics in response to physiological changes and under stress conditions. Therefore, the ability to monitor changes in the PTM signature of IFs can contribute to a better functional understanding, and ultimately conditioning, of the IF system as a stress responder during cellular injury. However, the large number of IF proteins, which are encoded by over 70 individual genes and expressed in a tissue-dependent manner, is a major challenge in sorting out the relative importance of different PTMs. To that end, methods that enable monitoring of PTMs on IF proteins on an organism-wide level, rather than for isolated members of the family, can accelerate research progress in this area. Here, we present biochemical methods for the isolation of the total, detergent-soluble, and detergent-resistant fraction of IF proteins from 9 different mouse tissues (brain, heart, lung, liver, small intestine, large intestine, pancreas, kidney, and spleen). We further demonstrate an optimized protocol for rapid isolation of IF proteins by using lysing matrix and automated homogenization of different mouse tissues. The automated protocol is useful for profiling IFs in experiments with high sample volume (such as in disease models involving multiple animals and experimental groups). The resulting samples can be utilized for various downstream analyses, including mass spectrometry-based PTM profiling. Utilizing these methods, we provide new data to show that IF proteins in different mouse tissues (brain and liver) undergo parallel changes with respect to their expression levels and PTMs during aging.

Indexed as

Protein Processing, Post-TranslationalAgingAnimalsBrainFemaleHumansIntermediate Filament ProteinsLiverMaleMiceMice, Inbred CBAOrgan SpecificityIntermediate Filament Proteins

Identifiers

PMID28570536
PMCPMC5603907
OpenAlexW2613078910

What Socratic holds

Textmetadata
LicenceTDM
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.