Evidence map›Paper›PMID 25258427›Full record

ArticleExperimental biology and medicine (Maywood, N.J.)2015

Transcriptome profiling of expression changes during neuronal death by RNA-Seq.

Dharmendra Sharma, Min Soo Kim, Santosh R D'Mello

Abstract read
In one paragraph

Article in Experimental biology and medicine (Maywood, N.J.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

5 citing papers in PubMed, 7 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

3 authors at 2 institutions in 1 country.

Dharmendra SharmaDepartment of Biological Sciences, Southern Methodist University, Dallas, TX 75272, USA.
Min Soo KimQuantitative Biomedical Research Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Santosh R D'MelloDepartment of Biological Sciences, Southern Methodist University, Dallas, TX 75272, USA sdmello@smu.edu.
Southern Methodist University · USThe University of Texas Southwestern Medical Center · US

Funding

Signaling Pathways Regulating Neuronal SurvivalR01NS040408 · NINDS · UNIVERSITY OF TEXAS DALLAS · PI D'MELLO, SANTOSH R · 2002 to 2018
$4.8M
NINDS NIH HHS R01 NS040408
6 · The paper itself

Abstract

The molecular mechanisms underlying neuronal death are poorly understood. One of the most widely used models to study neuronal death are cultured cerebellar granule neurons (CGNs) which undergo apoptosis when switched from a medium containing depolarizing levels of potassium (HK) to a medium with low non-depolarizing levels of potassium (LK). Previously, other labs have used DNA microarray analysis to characterize gene expression changes in LK-treated CGNs. However, microarray analysis is only capable of measuring the status of known transcripts, and expression of low-abundance mRNAs is often not detected by the hybridization-based approach. We have used RNA-sequencing to conduct a more detailed and comprehensive analysis of gene expression changes in CGNs induced to die by LK treatment. RNA-seq investigates the status of both known transcripts as well as exploring new ones and is substantially more sensitive than the microarray approach. We have found that the expression of 4334 genes is significantly altered in LK-treated CGNs with 2199 being up-regulated while 2135 are down-regulated. Genes functioning in cell death and survival regulation, cell growth and proliferation and molecular transport were most affected by LK treatment. Further, a large number of genes involved in nervous system development and function were also deregulated. Analysis of signaling pathways that were affected in LK-induced death included but were not limited to mitochondrial dysfunction and oxidative phosphorylation, consistent with a number of studies showing perturbations of these pathways in neurodegenerative disorders. Thus, our study identifies a large number of new genes that are affected during the process of neuronal death. While a majority of these changes may reflect consequences of the induction of neuronal death, many of the genes that we have identified are likely to be critical and potentially novel mediators of neuronal death, including death associated with neurodegenerative disease.

Indexed as

Gene Expression RegulationSequence Analysis, RNATranscriptomeAnimalsBiomarkersCell DeathCerebellumMitochondriaNeurodegenerative DiseasesNeuronsRatsBiomarkersapoptosisCerebellar granule neuronspotassium withdrawalRNA-sequencing

Identifiers

PMID25258427
PMCPMC4640449
OpenAlexW2177396849

What OpenQuestion holds

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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.