Evidence map›Paper›PMID 33419422›Full record

ArticleBMC biotechnology2021

Characterization of metabolic responses, genetic variations, and microsatellite instability in ammonia-stressed CHO cells grown in fed-batch cultures.

Dylan G Chitwood, Qinghua Wang, Kathryn Elliott, Aiyana Bullock, Dwon Jordana, Zhigang Li, Cathy Wu, Sarah W Harcum, Christopher A Saski

Open access · goldAbstract read
In one paragraph

Article in BMC biotechnology, 2021. 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
1.5field-weighted citation impact, top 17% 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, 23 citations in OpenAlex.

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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

9 authors at 4 institutions in 1 country.

Dylan G ChitwoodDepartment of Bioengineering, College of Engineering, Computing and Applied Sciences, Clemson University, Clemson, SC, 29634, USA.
Qinghua WangCenter for Bioinformatics & Computational Biology, University of Delaware, Newark, DE, 19716, USA.
Kathryn ElliottDepartment of Bioengineering, College of Engineering, Computing and Applied Sciences, Clemson University, Clemson, SC, 29634, USA.
Aiyana BullockDepartment of Biological Sciences, College of Agriculture, Science & Technology, Delaware State University, Dover, DE, 19901, USA.
Dwon JordanaDepartment of Biological Sciences, Grambling State University, Grambling, LA, 71245, USA.
Zhigang LiDepartment of Plant and Environmental Sciences, College of Agriculture, Forestry and Life Sciences, Clemson University, Clemson, SC, 29634, USA.
Cathy WuCenter for Bioinformatics & Computational Biology, University of Delaware, Newark, DE, 19716, USA.
Sarah W HarcumDepartment of Bioengineering, College of Engineering, Computing and Applied Sciences, Clemson University, Clemson, SC, 29634, USA.
Christopher A SaskiDepartment of Plant and Environmental Sciences, College of Agriculture, Forestry and Life Sciences, Clemson University, Clemson, SC, 29634, USA. saski@clemson.edu.
Clemson University · USUniversity of Delaware · USDelaware State University · USGrambling State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs bioprocess intensification has increased over the last 30 years, yields from mammalian cell processes have increased from 10's of milligrams to over 10's of grams per liter. Most of these gains in productivity can be attributed to increasing cell densities within bioreactors. As such, strategies have been developed to minimize accumulation of metabolic wastes, such as lactate and ammonia. Unfortunately, neither cell growth nor biopharmaceutical production can occur without some waste metabolite accumulation. Inevitably, metabolic waste accumulation leads to decline and termination of the culture. While it is understood that the accumulation of these unwanted compounds imparts a suboptimal culture environment, little is known about the genotoxic properties of these compounds that may lead to global genome instability. In this study, we examined the effects of high and moderate extracellular ammonia on the physiology and genomic integrity of Chinese hamster ovary (CHO) cells.

resultsThrough whole genome sequencing, we discovered 2394 variant sites within functional genes comprised of both single nucleotide polymorphisms and insertion/deletion mutations as a result of ammonia stress with high or moderate impact on functional genes. Furthermore, several of these de novo mutations were found in genes whose functions are to maintain genome stability, such as Tp53, Tnfsf11, Brca1, as well as Nfkb1. Furthermore, we characterized microsatellite content of the cultures using the CriGri-PICR Chinese hamster genome assembly and discovered an abundance of microsatellite loci that are not replicated faithfully in the ammonia-stressed cultures. Unfaithful replication of these loci is a signature of microsatellite instability. With rigorous filtering, we found 124 candidate microsatellite loci that may be suitable for further investigation to determine whether these loci may be reliable biomarkers to predict genome instability in CHO cultures.

conclusionThis study advances our knowledge with regards to the effects of ammonia accumulation on CHO cell culture performance by identifying ammonia-sensitive genes linked to genome stability and lays the foundation for the development of a new diagnostic tool for assessing genome stability.

Indexed as

Genetic VariationMicrosatellite InstabilityAmmoniaAnimalsBatch Cell Culture TechniquesBiomarkersBioreactorsBRCA1 ProteinCell CountCHO CellsCricetulusCulture MediaFemaleGenes, p53Lactic AcidMutationAmmoniaBiomarkersBRCA1 ProteinCulture MediaLactic AcidNF-kappa B p50 SubunitRANK LigandAmmoniaBiomarkerCHOGenome instabilityMSI

Identifiers

PMID33419422
PMCPMC7791692
OpenAlexW3120204567

What OpenQuestion holds

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LicenceCC BY
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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.