Evidence map›Paper›PMID 33929647›Full record

ArticleMolecular biology reports2021

The effect of cell isolation methods on the human transcriptome profiling and microbial transcripts of peripheral blood.

Yanru Xing, Xi Yang, Haixiao Chen, Sujun Zhu, Jinjin Xu, Yuan Chen, Juan Zeng, Fang Chen, Mark Richard Johnson, Hui Jiang and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Molecular biology reports, 2021. 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 52% 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, 3 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

11 authors at 3 institutions in 2 countries.

Yanru XingSchool of Future Technology, University of Chinese Academy of Sciences, Beijing, China.
Xi YangBGI-Shenzhen, Shenzhen, 518083, China.
Haixiao ChenBGI-Shenzhen, Shenzhen, 518083, China.
Sujun ZhuObstetrics Department, Shenzhen Maternity and Child Healthcare Hospital, Shenzhen, Guangdong Province, China.
Jinjin XuBGI-Shenzhen, Shenzhen, 518083, China.
Yuan ChenBGI-Shenzhen, Shenzhen, 518083, China.
Juan ZengObstetrics Department, Shenzhen Maternity and Child Healthcare Hospital, Shenzhen, Guangdong Province, China.
Fang ChenBGI-Shenzhen, Shenzhen, 518083, China.
Mark Richard JohnsonAcademic Obstetric Department, Imperial College London, Chelsea & Westminster Hospital campus, London, UK.
Hui JiangSchool of Future Technology, University of Chinese Academy of Sciences, Beijing, China.
Wen-Jing WangBGI-Shenzhen, Shenzhen, 518083, China. wangwenjing@genomics.cn.ORCID http://orcid.org/0000-0002-4527-1168
BGI Group (China) · CNShenzhen Maternity and Child Healthcare Hospital · CNChelsea and Westminster Hospital · GB

Funding

National Natural Science Foundation of China 81300075Natural Science Foundation of Guangdong Province 2014A030313795Shenzhen Municipal Government of China JCYJ20170412152854656Shenzhen Municipal Government of China JCYJ20180703093402288Shenzhen Peacock Plan KQTD20150330171505310
6 · The paper itself

Abstract

The expression of human and microbial genes serves as biomarkers for disease and health. Blood RNA is an important biological resource for precision medicine and translational medicine. However, few studies have assessed the human transcriptome profiles and microbial communities composition and diversity of peripheral blood from different cell isolation methods, which could affect the reproducibility of researches. We collected peripheral blood from three healthy donors and processed it immediately. We used RNA sequencing to investigate the effect of three leukocyte isolation methods including buffy coat (BC) extraction, red blood cell (RBC) lysis and peripheral blood mononuclear cell (PBMC) isolation with the comparison with whole blood (WB), through analyzing the sensitivity of gene detection, the whole transcriptome profiling and microbial composition and diversity. Our data showed that BC extraction with high globin mRNA mapping rate had similar transcriptome profiles with WB, while RBC lysis and PBMC isolation depleted RBCs effectively. With the efficient depletion of RBC and distinct compositions of leukocyte subsets, RNA-seq of RBC lysis and PBMC isolation uniquely detected genes from specific cell types, like granulocytes and NK cells. In addition, we observed that the microbial composition and diversity were more affected by individuals than isolation methods. Our results showed that blood cell isolations could largely influence the sensitivity of detection of human genes and transcriptome profile.

Indexed as

Blood CellsRNA-SeqBlood Buffy CoatCell SeparationErythrocytesHumansLeukocytes, MononuclearMicrobiotaSequence Analysis, RNATranscriptomeBiomarkerCell isolationMicrobial transcriptPeripheral bloodTranscriptome profile

Identifiers

PMID33929647
PMCPMC8085658
OpenAlexW3159318772

What OpenQuestion holds

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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.