Evidence map›Paper›PMID 31213643›Full record

ArticleScientific reports2019

A cross-species whole genome siRNA screen in suspension-cultured Chinese hamster ovary cells identifies novel engineering targets.

Gerald Klanert, Daniel J Fernandez, Marcus Weinguny, Peter Eisenhut, Eugen Bühler, Michael Melcher, Steven A Titus, Andreas B Diendorfer, Elisabeth Gludovacz, Vaibhav Jadhav and 5 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. CRISPR Technologies in Chinese Hamster Ovary Cell Line Engineering.International journal of molecular sciences · 2023
    Review
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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

15 authors at 6 institutions in 3 countries.

Gerald KlanertAustrian Centre of Industrial Biotechnology, Graz, Austria.
Daniel J FernandezDivision of Preclinical Innovation, NCATS, NIH, Rockville, MD, USA.
Marcus WeingunyAustrian Centre of Industrial Biotechnology, Graz, Austria.
Peter EisenhutAustrian Centre of Industrial Biotechnology, Graz, Austria.
Eugen BühlerDivision of Preclinical Innovation, NCATS, NIH, Rockville, MD, USA.ORCID http://orcid.org/0000-0001-7167-676X
Michael MelcherAustrian Centre of Industrial Biotechnology, Graz, Austria.
Steven A TitusDivision of Preclinical Innovation, NCATS, NIH, Rockville, MD, USA.
Andreas B DiendorferAustrian Centre of Industrial Biotechnology, Graz, Austria.ORCID http://orcid.org/0000-0003-0331-9685
Elisabeth GludovaczUniversity of Natural Resources and Life Sciences, Vienna, Austria.
Vaibhav JadhavAustrian Centre of Industrial Biotechnology, Graz, Austria.
Su XiaoBiotechnology Core Laboratory, NIDDK, NIH, Bethesda, MD, USA.
Beate SternDepartment of Biomedicine, University of Bergen, Bergen, Norway.
Madhu LalDivision of Preclinical Innovation, NCATS, NIH, Rockville, MD, USA. madhu.lal@nih.gov.
Joseph ShiloachBiotechnology Core Laboratory, NIDDK, NIH, Bethesda, MD, USA. josephs@niddk.nih.gov.
Nicole BorthAustrian Centre of Industrial Biotechnology, Graz, Austria. nicole.borth@boku.ac.at.ORCID http://orcid.org/0000-0001-6324-9338
Austrian Centre of Industrial Biotechnology (Austria) · ATNational Center for Advancing Translational Sciences · USCore Laboratories (United States) · USMedical University of Vienna · ATNational Institutes of Health · USUniversity of Bergen · NO

Funding

Trans-NIH RNAi Facility (TNRF)ZICTR000041 · NCATS · NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES · PI CHENG, KEN · 2015 to 2025
$9.4M
Identification of genes related to spcific properties of mammalian cellsZIADK075080 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI SHILOACH, JOSEPH · 2012 to 2022
$5.0M
Austrian Science Fund FWF W 1224
6 · The paper itself

Abstract

High-throughput siRNA screens were only recently applied to cell factories to identify novel engineering targets which are able to boost cells towards desired phenotypes. While siRNA libraries exist for model organisms such as mice, no CHO-specific library is publicly available, hindering the application of this technique to CHO cells. The optimization of these cells is of special interest, as they are the main host for the production of therapeutic proteins. Here, we performed a cross-species approach by applying a mouse whole-genome siRNA library to CHO cells, optimized the protocol for suspension cultured cells, as this is the industrial practice for CHO cells, and developed an in silico method to identify functioning siRNAs, which also revealed the limitations of using cross-species libraries. With this method, we were able to identify several genes that, upon knockdown, enhanced the total productivity in the primary screen. A second screen validated two of these genes, Rad21 and Chd4, whose knockdown was tested in additional CHO cell lines, confirming the induced high productivity phenotype, but also demonstrating the cell line/clone specificity of engineering effects.

Indexed as

Gene LibraryAnimalsCell Culture TechniquesCell Cycle ProteinsCHO CellsCricetinaeCricetulusDNA HelicasesGene Expression ProfilingGenomeHigh-Throughput Screening AssaysHumansRNA InterferenceRNA, Small InterferingCell Cycle ProteinsDNA HelicasesRNA, Small Interfering

Identifiers

PMID31213643
PMCPMC6582146
OpenAlexW2952324697

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.