Evidence map›Paper›PMID 37095747›Full record

ArticleRNA biology2023

Prior metabolite extraction fully preserves RNAseq quality and enables integrative multi-'omics analysis of the liver metabolic response to viral infection.

Zachary B Madaj, Michael S Dahabieh, Vijayvardhan Kamalumpundi, Brejnev Muhire, J Pettinga, Rebecca A Siwicki, Abigail E Ellis, Christine Isaguirre, Martha L Escobar Galvis, Lisa DeCamp and 4 more

Open access · goldAbstract read
In one paragraph

Article in RNA biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

14 authors at 1 institution in 2 countries.

Zachary B MadajBioinformatics and Biostatistics Core, Van Andel Institute, Grand Rapids, MI, USA.ORCID 0000-0003-2330-0500
Michael S DahabiehDepartment of Metabolic and Nutritional Programming, Van Andel Institute, Grand Rapids, MI, USA.ORCID 0000-0002-2518-7129
Vijayvardhan KamalumpundiCore Technologies and Services, Van Andel Institute, Grand Rapids, MI, USA.ORCID 0000-0001-7106-7286
Brejnev MuhireDepartment of Metabolic and Nutritional Programming, Van Andel Institute, Grand Rapids, MI, USA.ORCID 0000-0002-5594-1348
J PettingaBioinformatics and Biostatistics Core, Van Andel Institute, Grand Rapids, MI, USA.ORCID 0000-0001-8300-2404
Rebecca A SiwickiCore Technologies and Services, Van Andel Institute, Grand Rapids, MI, USA.ORCID 0000-0002-2061-3782
Abigail E EllisCore Technologies and Services, Van Andel Institute, Grand Rapids, MI, USA.ORCID 0000-0002-8736-8283
Christine IsaguirreCore Technologies and Services, Van Andel Institute, Grand Rapids, MI, USA.ORCID 0000-0002-2003-3374
Martha L Escobar GalvisCore Technologies and Services, Van Andel Institute, Grand Rapids, MI, USA.ORCID 0000-0001-8400-9392
Lisa DeCampDepartment of Metabolic and Nutritional Programming, Van Andel Institute, Grand Rapids, MI, USA.ORCID 0000-0002-4682-7586
Russell G JonesDepartment of Metabolic and Nutritional Programming, Van Andel Institute, Grand Rapids, MI, USA.ORCID 0000-0003-2250-4675
Scott A GivanBioinformatics and Biostatistics Core, Van Andel Institute, Grand Rapids, MI, USA.ORCID 0000-0002-0630-8589
Marie AdamsCore Technologies and Services, Van Andel Institute, Grand Rapids, MI, USA.ORCID 0000-0001-7909-2339
Ryan D SheldonCore Technologies and Services, Van Andel Institute, Grand Rapids, MI, USA.ORCID 0000-0002-1573-9719
Van Andel Institute · US

Funding

Ketone Body Metabolism in CD8+ T Cell ResponsesR01AI165722 · NIAID · VAN ANDEL RESEARCH INSTITUTE · PI JONES, RUSSELL GRAHAM · 2022 to 2025
$3.3M
NIAID NIH HHS R01 AI165722
6 · The paper itself

Abstract

Here, we provide an in-depth analysis of the usefulness of single-sample metabolite/RNA extraction for multi-'omics readout. Using pulverized frozen livers of mice injected with lymphocytic choriomeningitis virus (LCMV) or vehicle (Veh), we isolated RNA prior (RNA) or following metabolite extraction (MetRNA). RNA sequencing (RNAseq) data were evaluated for differential expression analysis and dispersion, and differential metabolite abundance was determined. Both RNA and MetRNA clustered together by principal component analysis, indicating that inter-individual differences were the largest source of variance. Over 85% of LCMV

Indexed as

MetabolomicsVirus DiseasesAnimalsLiverMiceRNASequence Analysis, RNARNAintegrated omicsmass spectrometrymetabolomicsRNAsystems biologyTranscriptomics

Identifiers

PMID37095747
PMCPMC10132226
OpenAlexW4366989270

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.