Evidence map›Paper›PMID 38674435›Full record

ArticleGenes2024

The Impact of Blood Sample Processing on Ribonucleic Acid (RNA) Sequencing.

Zhiyu Liu, Tinglan Ouyang, Yuwei Yang, Yuqi Sheng, Huajuan Shi, Quanjun Liu, Yunfei Bai, Qinyu Ge

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 46% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

8 authors at 1 institution in 1 country.

Zhiyu LiuState Key Laboratory of Digital Medical Engineering, Southeast University, Nanjing 211189, China.ORCID 0000-0002-1678-5960
Tinglan OuyangState Key Laboratory of Digital Medical Engineering, Southeast University, Nanjing 211189, China.
Yuwei YangState Key Laboratory of Digital Medical Engineering, Southeast University, Nanjing 211189, China.
Yuqi ShengState Key Laboratory of Digital Medical Engineering, Southeast University, Nanjing 211189, China.
Huajuan ShiState Key Laboratory of Digital Medical Engineering, Southeast University, Nanjing 211189, China.
Quanjun LiuState Key Laboratory of Digital Medical Engineering, Southeast University, Nanjing 211189, China.
Yunfei BaiState Key Laboratory of Digital Medical Engineering, Southeast University, Nanjing 211189, China.ORCID 0000-0002-4088-4117
Qinyu GeState Key Laboratory of Digital Medical Engineering, Southeast University, Nanjing 211189, China.ORCID 0000-0002-1708-1949
Southeast University · CN

Funding

National Key Research and Development Program of China 2022YFF0710800Shenzhen Science and Technology Innovation Program JCYJ20230807114612024
6 · The paper itself

Abstract

In gene quantification and expression analysis, issues with sample selection and processing can be serious, as they can easily introduce irrelevant variables and lead to ambiguous results. This study aims to investigate the extent and mechanism of the impact of sample selection and processing on ribonucleic acid (RNA) sequencing. RNA from PBMCs and blood samples was investigated in this study. The integrity of this RNA was measured under different storage times. All the samples underwent high-throughput sequencing for comprehensive evaluation. The differentially expressed genes and their potential functions were analyzed after the samples were placed at room temperature for 0h, 4h and 8h, and different feature changes in these samples were also revealed. The sequencing results showed that the differences in gene expression were higher with an increased storage time, while the total number of genes detected did not change significantly. There were five genes showing gradient patterns over different storage times, all of which were protein-coding genes that had not been mentioned in previous studies. The effect of different storage times on seemingly the same samples was analyzed in this present study. This research, therefore, provides a theoretical basis for the long-term consideration of whether sample processing should be adequately addressed.

Indexed as

High-Throughput Nucleotide SequencingRNASequence Analysis, RNABlood Specimen CollectionFemaleGene Expression ProfilingHumansLeukocytes, MononuclearMaleSpecimen HandlingRNAblood sample processingRNA-Seqsample heterogeneitytime-sensitive genes

Identifiers

PMID38674435
PMCPMC11050547
OpenAlexW4394878630

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.