Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 18

The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.

The nuclear matrix protein Matr3 regulates processing of the synaptic microRNA-138-5p

Weiss, Kerstin, Treiber, Thomas, Meister, Gunter, Schratt, Gerhard·2019·Neurobiology of Learning and Memory

Abstract

microRNA-dependent post-transcriptional control represents an important gene-regulatory layer in post-mitotic neuronal development and synaptic plasticity. We recently identified the brain-enriched miR-138 as a negative regulator of dendritic spine morphogenesis in rat hippocampal neurons. A potential involvement of miR-138 in cognition is further supported by a recent GWAS study on memory performance in a cohort of aged (>60 years) individuals. The expression of miR-138, which is encoded in two independent genomic loci (miR-138-1 and -2), is subject to both cell-type and developmental stage-specific regulation, the underlying molecular mechanisms however are poorly understood. Here, we show that miR-138-2 is the primary source of mature miR-138 in developing rat hippocampal neurons. Furthermore, we obtained evidence for the regulation of miR-138-2 biogenesis at the level of primary miRNA processing. Using biochemical pull-down assays, we identified the nuclear matrix protein Matrin-3 as pri/pre-miR-138 interacting protein and mapped the interaction to the pri/pre-miR-138-2 loop region. Matrin-3 loss-of-function experiments in HEK293 cells and primary neurons together with protein localization studies suggest an inhibitory function of Matrin-3 in nuclear pri-miR-138-2 processing. Together, our experiments unravel a new mechanism of miR-138 regulation in neurons, with important implications for miR-138 regulation during neuronal development, synaptic plasticity and memory-rela…

Overview

Integrity signals

Registry

Crossref · 10.1016/j.nlm.2019.02.008

Cites

24 of 24 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 24 references

Cited by

See all 18

Metadata

Authors
Weiss, K., Treiber, T., Meister, G., & Schratt, G.
Venue
Neurobiology of Learning and Memory
Publisher
Elsevier BV
Published
2019-03
Volume
159
Pages
36-45
ISSN
1074-7427
Cited by
18
References
24
Language
en
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Funders
Deutsche Forschungsgemeinschaft (SCHR 1136/8-1)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: The nuclear matrix protein Matr3 regulates processing of the synaptic microRNA-138-5p. https://app.cochat.ai/papers/10.1016/j.nlm.2019.02.008
The paper
Weiss, K., Treiber, T., Meister, G., & Schratt, G. (2019). The nuclear matrix protein Matr3 regulates processing of the synaptic microRNA-138-5p. Neurobiology of Learning and Memory. https://doi.org/10.1016/j.nlm.2019.02.008

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.