Evidence map›Paper›PMID 39068373›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

RNA-Seq Analysis of Mammalian Prion Disease.

Ambarish Kumar, Jamie Dixson, Rajeev K Azad

Abstract read
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Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ambarish KumarDepartment of Biological Sciences and BioDiscovery Institute, University of North Texas, Denton, TX, USA.
Jamie DixsonDepartment of Biological Sciences and BioDiscovery Institute, University of North Texas, Denton, TX, USA.
Rajeev K AzadDepartment of Biological Sciences and BioDiscovery Institute, University of North Texas, Denton, TX, USA. Rajeev.Azad@unt.edu.ORCID 0000-0002-6874-6146

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A protein, which can attain a prion state, differs from standard proteins in terms of structural conformation and aggregation propensity. High-throughput sequencing technology provides an opportunity to gain insight into the prion disease condition when coupled with single-cell RNA-Seq analysis to reveal transcriptional changes during prion-based pathogenicity. In this chapter, we present a protocol for RNA-Seq analysis of mammalian prion disease using a single-cell RNA sequencing dataset procured from the NCBI GEO database. This protocol is a tool that can assist researchers in characterizing mammalian prion disease in a reproducible and reusable manner. Further, the resulting output has the potential to provide transcript biomarkers for mammalian prion diseases, which can be employed for diagnostic and prognostic purposes.

Indexed as

Prion DiseasesAnimalsHigh-Throughput Nucleotide SequencingHumansMammalsPrionsRNA-SeqSequence Analysis, RNASingle-Cell AnalysisPrionsBiomarkersEpigeneticsPrion diseasesPrionsscRNA-Seq

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Registered trials

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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.