Evidence map›Paper›PMID 36869090›Full record

ArticleScientific reports2023

Technical assessment of different extraction methods and transcriptome profiling of RNA isolated from small volumes of blood.

Mahesh Kumar Reddy Kalikiri, Harshitha Shobha Manjunath, Fazulur Rehaman Vempalli, Lisa Sara Mathew, Li Liu, Li Wang, Guishuang Wang, Kun Wang, Oleksandr Soloviov, Stephan Lorenz and 1 more

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In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

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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

11 authors.

Mahesh Kumar Reddy Kalikiri *Clinical Genomics Laboratory, Integrated Genomics Services, Sidra Medicine, Doha, Qatar.
Harshitha Shobha Manjunath *Omics Core, Integrated Genomic Services, Sidra Medicine, Doha, Qatar.
Fazulur Rehaman Vempalli *Bioinformatics Core, Integrated Genomics Services, Sidra Medicine, Doha, Qatar.
Lisa Sara MathewClinical Genomics Laboratory, Integrated Genomics Services, Sidra Medicine, Doha, Qatar.
Li LiuClinical Genomics Laboratory, Integrated Genomics Services, Sidra Medicine, Doha, Qatar.
Li WangClinical Genomics Laboratory, Integrated Genomics Services, Sidra Medicine, Doha, Qatar.
Guishuang WangClinical Genomics Laboratory, Integrated Genomics Services, Sidra Medicine, Doha, Qatar.
Kun WangClinical Genomics Laboratory, Integrated Genomics Services, Sidra Medicine, Doha, Qatar.
Oleksandr SoloviovClinical Genomics Laboratory, Integrated Genomics Services, Sidra Medicine, Doha, Qatar.
Stephan LorenzClinical Genomics Laboratory, Integrated Genomics Services, Sidra Medicine, Doha, Qatar.
Sara TomeiOmics Core, Integrated Genomic Services, Sidra Medicine, Doha, Qatar. stomei@sidra.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcriptome profiling of human whole blood is used to discover biomarkers of diseases and to assess phenotypic traits. Recently, finger-stick blood collection systems have allowed a less invasive and quicker collection of peripheral blood. Such non-invasive sampling of small volumes of blood offers practical advantages. The quality of gene expression data is strictly dependent on the steps used for the sample collection, extraction, preparation and sequencing. Here we have: (i) compared the manual and automated RNA extraction of small volumes of blood using the Tempus Spin RNA isolation kit and the MagMAX for Stabilized Blood RNA Isolation kit , respectively; and (ii) assessed the effect of TURBO DNA Free treatment on the transcriptomic data of RNA isolated from small volumes of blood. We have used the QuantSeq 3' FWD mRNA-Seq Library Prep kit to prepare RNA-seq libraries, which were sequenced on the Illumina NextSeq 500 system. The samples isolated manually displayed a higher variability in the transcriptomic data as compared to the other samples. The TURBO DNA Free treatment affected the RNA samples negatively, decreasing the RNA yield and reducing the quality and reproducibility of the transcriptomic data. We conclude that automated extraction systems should be preferred over manual extraction systems for data consistency, and that the TURBO DNA Free treatment should be avoided when working on RNA samples isolated manually from small volumes of blood.

Indexed as

GastropodaGene Expression ProfilingAnimalsBlood Specimen CollectionHumansReproducibility of ResultsRNATranscriptomeRNA

Identifiers

PMID36869090
PMCPMC9984369

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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.