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Record W3095424764 · doi:10.3168/jds.2020-18700

CRISPR-Cas9-mediated knockout of GCN2 reveals a critical role in sensing amino acid deprivation in bovine mammary epithelial cells

2020· article· en· W3095424764 on OpenAlexafffund
Ashlin M. Edick, Joseph Audette, Sergio A. Burgos

Bibliographic record

VenueJournal of Dairy Science · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCRISPR and Genetic Engineering
Canadian institutionsMcGill University
FundersFonds de recherche du Québec – Nature et technologiesNatural Sciences and Engineering Research Council of CanadaMcGill University
KeywordsPhosphorylationMessenger RNABiologyMolecular biologyIntegrated stress responseATF4Translational regulationTranslation (biology)Gene expressionGeneCell biologyBiochemistryChemistryTranscription factor

Abstract

fetched live from OpenAlex

The objective of this study was to determine the role of GCN2 in the response to AA deprivation of primary bovine mammary epithelial cells (BMEC). Cells were isolated from the mammary tissue of 2 lactating Holstein cows by enzymatic digestion, expanded, and induced to differentiate for 5 to 7 d. Relative mRNA expression was measured by real-time quantitative PCR. Protein abundance and site-specific phosphorylation were measured by immunoblotting. Knockout of GCN2 in BMEC was accomplished by lentiviral delivery of a targeted single guide RNA and endonuclease Cas9. To investigate the role of GCN2, we treated lactogenic differentiated BMEC with either culture medium lacking Arg, Leu, and Lys combined or lacking only one of the 3 AA of interest, in comparison to a control with a full complement of AA. Activation of GCN2 was inferred by the phosphorylation status of its downstream target eIF2α Ser51. We found that GCN2 was activated by both the deprivation of Arg, Leu, and Lys combined and of Arg alone, as shown by a 2.73- and 2.82-fold increase in phosphorylated eIF2α Ser51 after 1 h of deprivation, respectively. In addition, activation of GCN2 as measured by increased phosphorylation of eIF2α Ser51 during the deprivation of Arg, Leu, and Lys combined and of Arg alone was sustained for up to 8 h of deprivation. Phosphorylated eIF2α selectively upregulates translation of transcription factor ATF4, among others, during AA deprivation, which then targets genes necessary for restoring AA homeostasis. Therefore, we investigated the expression of ATF4 transcriptional targets, AA enzyme ASNS and AA transporters SLC7A1 and SLC38A2. We found that ASNS was upregulated in response to combined AA deprivation and by Arg deprivation alone by 3.6- and 4.51-fold, respectively, at 24 h of treatment. We found that SLC7A1 was upregulated in response to combined AA deprivation and deprivation of Arg alone by 2.0- and 2.36-fold, respectively, at 8 h of treatment. To establish the role of GCN2 (encoded by EIF2AK4) in the response to AA deprivation, we ablated GCN2 in BMEC using clustered regularly interspaced short palindromic repeats-Cas9. We showed that BMEC transduced with single guide RNA targeting EIF2AK4 were not as responsive to combined AA deprivation, compared with BMEC transduced with nontargeting single guide RNA. Taken together, our results demonstrate a critical role for GCN2 in sensing AA deprivation in BMEC.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.341

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.283
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations19
Published2020
Admission routes2
Has abstractyes

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