Evidence map›Paper›PMID 30894119›Full record

ArticleBMC genomics2019

Purification of high-quality RNA from a small number of fluorescence activated cell sorted zebrafish cells for RNA sequencing purposes.

Siebe Loontiens, Lisa Depestel, Suzanne Vanhauwaert, Givani Dewyn, Charlotte Gistelinck, Karen Verboom, Wouter Van Loocke, Filip Matthijssens, Andy Willaert, Jo Vandesompele and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

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  9. PHF6 Expression Levels Impact Human Hematopoietic Stem Cell Differentiation.Frontiers in cell and developmental biology · 2020
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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

12 authors at 3 institutions in 2 countries.

Siebe LoontiensDepartment of Biomolecular Medicine & Center for Medical Genetics, Ghent University, 9000, Ghent, Belgium.
Lisa DepestelDepartment of Biomolecular Medicine & Center for Medical Genetics, Ghent University, 9000, Ghent, Belgium.
Suzanne VanhauwaertDepartment of Biomolecular Medicine & Center for Medical Genetics, Ghent University, 9000, Ghent, Belgium.
Givani DewynDepartment of Biomolecular Medicine & Center for Medical Genetics, Ghent University, 9000, Ghent, Belgium.
Charlotte GistelinckDepartment of Biomolecular Medicine & Center for Medical Genetics, Ghent University, 9000, Ghent, Belgium.
Karen VerboomDepartment of Biomolecular Medicine & Center for Medical Genetics, Ghent University, 9000, Ghent, Belgium.
Wouter Van LoockeDepartment of Biomolecular Medicine & Center for Medical Genetics, Ghent University, 9000, Ghent, Belgium.
Filip MatthijssensDepartment of Biomolecular Medicine & Center for Medical Genetics, Ghent University, 9000, Ghent, Belgium.
Andy WillaertDepartment of Biomolecular Medicine & Center for Medical Genetics, Ghent University, 9000, Ghent, Belgium.
Jo VandesompeleDepartment of Biomolecular Medicine & Center for Medical Genetics, Ghent University, 9000, Ghent, Belgium.
Frank SpelemanDepartment of Biomolecular Medicine & Center for Medical Genetics, Ghent University, 9000, Ghent, Belgium.
Kaat DurinckDepartment of Biomolecular Medicine & Center for Medical Genetics, Ghent University, 9000, Ghent, Belgium. Kaat.Durinck@ugent.be.
Ghent University Hospital · BECancer Research Institute Ghent · BEUniversity of Washington · US

Funding

Bijzonder Onderzoeksfonds BOF15/DOC/220Bijzonder Onderzoeksfonds GOABijzonder Onderzoeksfonds Methusalem Grant BOF08/01M01108Fonds Wetenschappelijk Onderzoek G021415N & G051516NKom op tegen kanker Emmanuel van der Schueren grant
6 · The paper itself

Abstract

backgroundTransgenic zebrafish lines with the expression of a fluorescent reporter under the control of a cell-type specific promoter, enable transcriptome analysis of FACS sorted cell populations. RNA quality and yield are key determinant factors for accurate expression profiling. Limited cell number and FACS induced cellular stress make RNA isolation of sorted zebrafish cells a delicate process. We aimed to optimize a workflow to extract sufficient amounts of high-quality RNA from a limited number of FACS sorted cells from Tg(fli1a:GFP) zebrafish embryos, which can be used for accurate gene expression analysis.

resultsWe evaluated two suitable RNA isolation kits (the RNAqueous micro and the RNeasy plus micro kit) and determined that sorting cells directly into lysis buffer is a critical step for success. For low cell numbers, this ensures direct cell lysis, protects RNA from degradation and results in a higher RNA quality and yield. We showed that this works well up to 0.5× dilution of the lysis buffer with sorted cells. In our sort settings, this corresponded to 30,000 and 75,000 cells for the RNAqueous micro kit and RNeasy plus micro kit respectively. Sorting more cells dilutes the lysis buffer too much and requires the use of a collection buffer. We also demonstrated that an additional genomic DNA removal step after RNA isolation is required to completely clear the RNA from any contaminating genomic DNA. For cDNA synthesis and library preparation, we combined SmartSeq v4 full length cDNA library amplification, Nextera XT tagmentation and sample barcoding. Using this workflow, we were able to generate highly reproducible RNA sequencing results.

conclusionsThe presented optimized workflow enables to generate high quality RNA and allows accurate transcriptome profiling of small populations of sorted zebrafish cells.

Indexed as

Flow CytometrySequence Analysis, RNAAnimalsCell CountPoly AQuality ControlRNAZebrafishPoly ARNAFACS sortingRNA isolationRNA sequencingZebrafish

Identifiers

PMID30894119
PMCPMC6425699
OpenAlexW2947158142

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.