Evidence map›Paper›PMID 34430907›Full record

ArticleSTAR protocols2021

Isolation of autophagic fractions from mouse liver for biochemical analyses.

Henrietta Bains, Rajat Singh

Abstract read
In one paragraph

Article in STAR protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Molecular Visualization of Neuronal TDP43 PathologybioRxiv : the preprint server for biology · 2025
    Article
  5. 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

2 authors.

Henrietta BainsDepartment of Medicine, Albert Einstein College of Medicine, Bronx, NY 10461, USA.
Rajat SinghDepartment of Medicine, Albert Einstein College of Medicine, Bronx, NY 10461, USA.

Funding

Role of Autophagy in T Cell Function and Immunosenescence (Project 3)P01AG031782 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI CUERVO, ANA MARIA · 2009 to 2024
$36.2M
Training in Aging ResearchT32AG023475 · NIA · ALBERT EINSTEIN COL OF MED YESHIVA UNIV · PI NIR J BARZILAI, DEREK Major HUFFMAN · 2004 to 2026
$8.6M
Hypothalamic Autophagy and Metabolic Regulation in AgingR01AG043517 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Rajat Singh · 2013 to 2026
$2.3M
Circadian Mechanisms of Diabetes Prevention in Aged miceR01AG065985 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SINGH, RAJAT · 2019 to 2023
$2.1M
Molecular regulation of gut lipid metabolism by mTOR and autophagy proteinsR01DK123327 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SINGH, RAJAT · 2019 to 2023
$1.9M
How does mTOR sense lipid in vivoF31AG071112 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI BAINS, HENRIETTA J · 2021 to 2023
$113k
NIA NIH HHS F31 AG071112NIA NIH HHS P01 AG031782NIA NIH HHS R01 AG043517NIA NIH HHS R01 AG065985NIA NIH HHS T32 AG023475NIDDK NIH HHS R01 DK123327
6 · The paper itself

Abstract

Isolation of autophagosomes, autolysosomes, and lysosomes allows mechanistic studies into the pathophysiology of autophagy-a lysosomal quality control pathway. Here, we outline a Nycodenz density gradient ultracentrifugation approach for high-yield isolation of autophagic fractions from mouse liver. These fractions can be used for immunoblotting, transmission electron microscopy, and proteomic and lipidomic analyses. For complete details on the use and execution of this protocol, please refer to Toledo et al. (2018).

Indexed as

AnimalsAutophagosomesAutophagyCell ExtractsCentrifugation, Density GradientLipidomicsLiverLysosomesMiceMice, Inbred C57BLProteomeProteomicsCell ExtractsProteomecell biologycell separation/fractionationmetabolism

Identifiers

PMID34430907
PMCPMC8371247

What OpenQuestion holds

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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.