Evidence map›Paper›PMID 32613751›Full record

ArticleTraffic (Copenhagen, Denmark)2020

CrebA increases secretory capacity through direct transcriptional regulation of the secretory machinery, a subset of secretory cargo, and other key regulators.

Dorothy M Johnson, Michael B Wells, Rebecca Fox, Joslynn S Lee, Rajprasad Loganathan, Daniel Levings, Abigail Bastien, Matthew Slattery, Deborah J Andrew

Open access · bronzeAbstract read
In one paragraph

Article in Traffic (Copenhagen, Denmark), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

22 citing papers in PubMed, 34 citations in OpenAlex.

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  17. Time series transcriptome analysis implicates the circadian clock in theProceedings of the National Academy of Sciences of the United States of America · 2023
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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

9 authors at 2 institutions in 1 country.

Dorothy M JohnsonThe Department of Cell Biology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Michael B WellsThe Department of Cell Biology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Rebecca FoxThe Department of Cell Biology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Joslynn S LeeDepartment of Biomedical Sciences, University of Minnesota Medical School, Duluth, Minnesota, USA.
Rajprasad LoganathanThe Department of Cell Biology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Daniel LevingsDepartment of Biomedical Sciences, University of Minnesota Medical School, Duluth, Minnesota, USA.
Abigail BastienThe Department of Cell Biology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Matthew SlatteryDepartment of Biomedical Sciences, University of Minnesota Medical School, Duluth, Minnesota, USA.
Deborah J AndrewThe Department of Cell Biology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0003-1051-6935
Johns Hopkins University · USUniversity of Minnesota, Duluth · US

Funding

FORMATION OF THE DROSOPHILA SALIVARY GLANDR01DE013899 · NIDCR · JOHNS HOPKINS UNIVERSITY · PI Deborah J Andrew · 2001 to 2026
$11.2M
Drosophila salivary gland, a model for studying the molecular basis of secretionK99DE021461 · NIDCR · JOHNS HOPKINS UNIVERSITY · PI FOX, REBECCA MARIE · 2011 to 2012
$148k
The role of tbc-1 in salivary gland development and innate immune responseF31DE023721 · NIDCR · JOHNS HOPKINS UNIVERSITY · PI JOHNSON, DOROTHY MAE DILLON · 2013 to 2015
$111k
NIDCR NIH HHS F31 DE023721NIDCR NIH HHS K99 DE021461NIDCR NIH HHS R01 DE013899
6 · The paper itself

Abstract

Specialization of many cells, including the acinar cells of the salivary glands and pancreas, milk-producing cells of mammary glands, mucus-secreting goblet cells, antibody-producing plasma cells, and cells that generate the dense extracellular matrices of bone and cartilage, requires scaling up both secretory machinery and cell-type specific secretory cargo. Using tissue-specific genome-scale analyses, we determine how increases in secretory capacity are coordinated with increases in secretory load in the Drosophila salivary gland (SG), an ideal model for gaining mechanistic insight into the functional specialization of secretory organs. Our findings show that CrebA, a bZIP transcription factor, directly binds genes encoding the core secretory machinery, including protein components of the signal recognition particle and receptor, ER cargo translocators, Cop I and Cop II vesicles, as well as the structural proteins and enzymes of these organelles. CrebA directly binds a subset of SG cargo genes and CrebA binds and boosts expression of Sage, a SG-specific transcription factor essential for cargo expression. To further enhance secretory output, CrebA binds and activates Xbp1 and Tudor-SN. Thus, CrebA directly upregulates the machinery of secretion and additional factors to increase overall secretory capacity in professional secretory cells; concomitant increases in cargo are achieved both directly and indirectly.

Indexed as

Drosophila ProteinsAnimalsCyclic AMP Response Element-Binding Protein ADrosophilaSalivary GlandsTranscription FactorsCrebA protein, DrosophilaCyclic AMP Response Element-Binding Protein ADrosophila ProteinsTranscription FactorsChIP-seqCrebADrosophilasagesalivary glandsecretory capacitysecretory cargotranscription factorTSNXbp1

Identifiers

PMID32613751
PMCPMC8142552
OpenAlexW3039302293

What OpenQuestion 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 OpenQuestion graph.