Evidence map›Paper›PMID 35448502›Full record

ArticleMetabolites2022

The MicroRNA

Lisa Zipper, Sai Batchu, Nida Hatice Kaya, Zeus Andrea Antonello, Tobias Reiff

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

10 citing papers in PubMed, 16 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

5 authors at 3 institutions in 2 countries.

Lisa ZipperInstitute of Genetics, Department of Biology, The Faculty of Mathematics and Natural Sciences, Heinrich-Heine-Universität Düsseldorf, 40225 Düsseldorf, Germany.
Sai BatchuCooper Medical School, Rowan University, Camden, NJ 08102, USA.ORCID 0000-0003-1531-9682
Nida Hatice KayaInstitute for Zoology and Organismic Interactions, Department of Biology, The Faculty of Mathematics and Natural Sciences, Heinrich-Heine-Universität Düsseldorf, 40225 Düsseldorf, Germany.
Zeus Andrea AntonelloCooper Medical School, Rowan University, Camden, NJ 08102, USA.ORCID 0000-0002-5933-6794
Tobias ReiffInstitute of Genetics, Department of Biology, The Faculty of Mathematics and Natural Sciences, Heinrich-Heine-Universität Düsseldorf, 40225 Düsseldorf, Germany.ORCID 0000-0001-6610-6148
Heinrich Heine University Düsseldorf · DECooper Medical School of Rowan University · USCooper University Hospital · US

Funding

Drosophila Transgenic RNAi Resource ProjectR01GM084947 · NIGMS · HARVARD MEDICAL SCHOOL · PI PERRIMON, NORBERT · 2008 to 2019
$9.8M
NIGMS NIH HHS R01 GM084947
6 · The paper itself

Abstract

Cell division, growth, and differentiation are energetically costly and dependent processes. In adult stem cell-based epithelia, cellular identity seems to be coupled with a cell's metabolic profile and vice versa. It is thus tempting to speculate that resident stem cells have a distinct metabolism, different from more committed progenitors and differentiated cells. Although investigated for many stem cell types in vitro, in vivo data of niche-residing stem cell metabolism is scarce. In adult epithelial tissues, stem cells, progenitor cells, and their progeny have very distinct functions and characteristics. In our study, we hypothesized and tested whether stem and progenitor cell types might have a distinctive metabolic profile in the intestinal lineage. Here, taking advantage of the genetically accessible adult

Indexed as

Drosophilafatty acid oxidationintestinal stem cellmetabolismmidgut

Identifiers

PMID35448502
PMCPMC9028014
OpenAlexW4220907545

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.