Evidence map›Paper›PMID 34728604›Full record

ArticleCell death & disease2021

A gene toolbox for monitoring autophagy transcription.

Matteo Bordi, Rossella De Cegli, Beatrice Testa, Ralph A Nixon, Andrea Ballabio, Francesco Cecconi

Open access · goldAbstract read
In one paragraph

Article in Cell death & disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 1 pooled it
15.7field-weighted citation impact, top 1% 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

71 citing papers in PubMed, 1 synthesis or guideline pooled it, 131 citations in OpenAlex.

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11 more citing papers are in PubMed but not listed here.

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

6 authors at 5 institutions in 3 countries.

Matteo BordiDepartment of Pediatric Hemato-Oncology and Cell and Gene therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy.ORCID 0000-0001-8207-8546
Rossella De CegliTelethon Institute of Genetics and Medicine (TIGEM), Pozzuśoli, Naples, Italy.ORCID 0000-0002-8526-8692
Beatrice TestaDepartment of Biology, University of Rome Tor Vergata, Rome, Italy.
Ralph A NixonCenter for Dementia Research, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA.
Andrea BallabioTelethon Institute of Genetics and Medicine (TIGEM), Pozzuśoli, Naples, Italy.ORCID 0000-0003-1381-4604
Francesco CecconiDepartment of Pediatric Hemato-Oncology and Cell and Gene therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy. cecconi@cancer.dk.ORCID 0000-0002-5614-4359
University of Rome Tor Vergata · ITBambino Gesù Children's Hospital · ITBaylor College of Medicine · USNathan Kline Institute for Psychiatric Research · USTelethon Institute Of Genetics And Medicine · IT

Funding

MODULATION OF CELLULAR CLEARANCE TO TREAT HUMAN DISEASER01NS078072 · NINDS · BAYLOR COLLEGE OF MEDICINE · PI BALLABIO, ANDREA · 2012 to 2020
$3.1M
EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) ERC-LYSOSOMICSNINDS NIH HHS R01 NS078072
6 · The paper itself

Abstract

Autophagy is a highly dynamic and multi-step process, regulated by many functional protein units. Here, we have built up a comprehensive and up-to-date annotated gene list for the autophagy pathway, by combining previously published gene lists and the most recent publications in the field. We identified 604 genes and created main categories: MTOR and upstream pathways, autophagy core, autophagy transcription factors, mitophagy, docking and fusion, lysosome and lysosome-related genes. We then classified such genes in sub-groups, based on their functions or on their sub-cellular localization. Moreover, we have curated two shorter sub-lists to predict the extent of autophagy activation and/or lysosomal biogenesis; we next validated the "induction list" by Real-time PCR in cell lines during fasting or MTOR inhibition, identifying ATG14, ATG7, NBR1, ULK1, ULK2, and WDR45, as minimal transcriptional targets. We also demonstrated that our list of autophagy genes can be particularly useful during an effective RNA-sequencing analysis. Thus, we propose our lists as a useful toolbox for performing an informative and functionally-prognostic gene scan of autophagy steps.

Indexed as

Genetic TechniquesTranscription, GeneticAutophagyCell Line, TumorHEK293 CellsHumansLysosomesReproducibility of ResultsTOR Serine-Threonine KinasesTOR Serine-Threonine Kinases

Identifiers

PMID34728604
PMCPMC8563709
OpenAlexW3208553266

What OpenQuestion 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 OpenQuestion graph.