Evidence map›Paper›PMID 20699097›Full record

ArticleExperimental cell research2010

The C/EBPbeta isoform, liver-inhibitory protein (LIP), induces autophagy in breast cancer cell lines.

Maria M Abreu, Linda Sealy

Open access · greenAbstract read
In one paragraph

Article in Experimental cell research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

13 citing papers in PubMed, 30 citations in OpenAlex.

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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 at 1 institution in 1 country.

Maria M AbreuDepartment of Cancer Biology, 752 Preston Research Building, Vanderbilt University, Nashville, TN 37232, USA.
Linda Sealy
Vanderbilt University · US

Funding

The role of C/EBPbeta-3 in autophagyF31GM089106 · NIGMS · VANDERBILT UNIVERSITY · PI ABREU, MARIA M · 2009 to 2011
$73k
NIGMS NIH HHS F31 GM089106
6 · The paper itself

Abstract

Autophagy is a process involving the bulk degradation of cellular components in the cytoplasm via the lysosomal degradation pathway. Autophagy manifests a protective role in stressful conditions such as nutrient or growth factor depletion; however, extensive degradation of regulatory molecules or organelles essential for survival can lead to the demise of the cell, or autophagy-mediated cell death. The role of autophagy in cancer is complex with roles in both tumor suppression and tumor promotion proposed. Here we report that an isoform of the C/EBPbeta transcription factor, liver-enriched inhibitory protein (LIP), induces cell death in human breast cancer cells and stimulates autophagy. Overexpression of LIP is incompatible with cell growth and when cell cycle analysis was performed, a DNA profile of cells undergoing apoptosis was not observed. Instead, LIP expressing cells appeared to have large autophagic vesicles when examined via electron microscopy. Autophagy was further assessed in LIP expressing cells by monitoring the development of acidic vesicular organelles and conversion of LC3 from the cytoplasmic form to the membrane-bound form. Our work shows that C/EBPbeta isoform, LIP, is another member of the group of transcription factors, including E2F1 and p53, which are capable of playing a role in autophagy.

Indexed as

AutophagyAcidsApoptosisBreast NeoplasmsCCAAT-Enhancer-Binding Protein-betaCell CycleCell Line, TumorCell ProliferationCytoplasmic VesiclesFemaleHumansMicrotubule-Associated ProteinsNecrosisProtein IsoformsVacuolesAcidsCCAAT-Enhancer-Binding Protein-betaCEBPB protein, humanMAP1LC3A protein, humanMicrotubule-Associated ProteinsProtein Isoforms

Identifiers

PMID20699097
PMCPMC2967436
OpenAlexW2020684187

What OpenQuestion holds

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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 OpenQuestion graph.