Evidence map›Paper›PMID 34912035›Full record

ArticleCommunications biology2021

RNAmetasome network for macromolecule biogenesis in human cells.

Shiro Iuchi, Joao A Paulo

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 46% 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

4 citing papers in PubMed, 4 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.

Shiro IuchiDepartment of Cell Biology, Harvard Medical School, 240 Longwood Avenue, Boston, MA, 20115, USA. shiro_iuchi@hms.harvard.edu.ORCID 0000-0001-8293-4250
Joao A PauloDepartment of Cell Biology, Harvard Medical School, 240 Longwood Avenue, Boston, MA, 20115, USA.ORCID 0000-0002-4291-413X
Harvard University · US

Funding

Advancing Multiplexed Isobaric Tag-based Strategies for Proteome ProfilingR01GM132129 · NIGMS · HARVARD MEDICAL SCHOOL · PI PAULO, JOAO A · 2019 to 2023
$1.7M
NIGMS NIH HHS R01 GM132129
6 · The paper itself

Abstract

RNA plays a central role in macromolecule biogenesis for various pathways, such as gene expression, ribosome biogenesis, and chromatin remodeling. However, RNA must be converted from its nascent to functional forms for that role. Here, we describe a large RNA metabolic network (RNAmetasome network) for macromolecule biogenesis in human cells. In HEK293T, the network consists of proteins responsible for gene expression, splicing, ribosome biogenesis, chromatin remodeling, and cell cycle. Reciprocal immunoprecipitations show that MKI67, GNL2, MDN1, and ELMSAN1 are core proteins of the network, and knockdown of either MKI67 or GNL2 affects the state of the other protein, MDN1, and some other network members. Furthermore, GNL2 knockdown retards cell proliferation. Several proteins of the RNAmetasome network are diminished in Hela.cl1, and this diminishment is associated with low expression of MDN1 and elevated MKI67 degradation. These results together suggest that the RNAmetasome network is present in human cells and associated with proliferation, and that MKI67, GNL2, and MDN1 play an important role in organizing the RNAmetasome network.

Indexed as

Metabolic Networks and PathwaysATPases Associated with Diverse Cellular ActivitiesCell ProliferationGene ExpressionGTP-Binding ProteinsHEK293 CellsHumansKi-67 AntigenRNAATPases Associated with Diverse Cellular ActivitiesGTP-Binding ProteinsKi-67 AntigenMDN1 protein, humanMKI67 protein, humanNGP-1 antigen, humanRNA

Identifiers

PMID34912035
PMCPMC8674265
OpenAlexW4200264399

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.