Evidence map›Paper›PMID 36881299›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Profiling Locally Translated mRNAs in Regenerating Axons.

Pabitra K Sahoo, Jeffery L Twiss

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. Article
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.

Pabitra K SahooDepartment of Biological Sciences, University of South Carolina, Columbia, SC, USA. sahoop@mailbox.sc.edu.
Jeffery L TwissDepartment of Biological Sciences, University of South Carolina, Columbia, SC, USA.
University of South Carolina · US

Funding

Destabilization of axonal mRNAs by KHSRP complexes during axon regenerationR01NS089633 · NINDS · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI TWISS, JEFFERY L · 2015 to 2025
$4.1M
Role of Stress Granule Protein Aggregation in Axon RegenerationR01NS117821 · NINDS · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI TWISS, JEFFERY L · 2020 to 2024
$2.8M
NINDS NIH HHS R01 NS089633NINDS NIH HHS R01 NS117821
6 · The paper itself

Abstract

Spatial and temporal regulation of protein expression plays important roles in many cellular functions, particularly for highly polarized cell types. While the subcellular proteome can be altered by relocalizing proteins from other domains of the cell, transporting mRNAs to subcellular domains provides a means to locally synthesize new proteins in response to different stimuli. Localized protein synthesis is a critical mechanism in neurons that extend dendrites and axons long distances from their cell bodies. Here, we discuss methodologies that have been developed to study localized protein synthesis using axonal protein synthesis as an example. We provide an in-depth method using dual fluorescence recovery after photobleaching to visualize sites of protein synthesis using reporter cDNAs that encode two different localizing mRNAs along with diffusion-limited fluorescent reporter proteins. We show how this method can be used to determine how extracellular stimuli and different physiological states can alter the specificity of local mRNA translation in real time.

Indexed as

AxonsCell BodyBiological TransportColoring AgentsDNA, ComplementaryRNA, MessengerColoring AgentsDNA, ComplementaryRNA, MessengerAxonal protein synthesisFRAPLocalized protein synthesismRNA translation

Identifiers

PMID36881299
OpenAlexW4323348656

What OpenQuestion holds

Textmetadata
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.