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Additional file 1 of Opposing roles of CLK SR kinases in controlling HIV-1 gene expression and latency

2022· article· en· W6976814474 on OpenAlexaff

Bibliographic record

VenueFigshare · 2022
Typearticle
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsUniversité de SherbrookeCanadian Blood ServicesUniversity of Toronto
Fundersnot available
KeywordsSmall hairpin RNAKinaseGene expressionRNA interferenceTransfectionNorthern blotCell cultureBlot

Abstract

fetched live from OpenAlex

Additional file 1: Table S1. Structure and anti-HIV activity of related compounds present in PKIS library. Table S2. shRNA vectors used. Table S3. Primary antibodies used in the study. Figure S1. Effect of SR kinase depletion or inhibition on HIV-1 expression in J-Lat 10.6 cells. a Schematic of HIV-1 provirus present in J-Lat 10-6 cells. b J-Lat 10.6 cells were infected with lentiviruses expressing shRNAs to the SR kinase indicated and transduced cells were selected with puromycin for 72 h. Following selection, prostratin (2.56 µM) was added to induce HIV-1 gene expression and cells harvested after 24 h for western bot analysis of effects on HIV-1 Gag and GFP expression. c, d Cells were treated with DMSO, 1H3 (200 nM), or 2E3 (100 nM) and HIV-1 expression induced with prostratin. After 24 h, cells were analyzed for effects on c HIV-1 protein levels and d RNA accumulation. Data are indicated as mean ± SEM, n = 4 independent experiments, **p ≤ 0.01, and ***p ≤ 0.001. Dotted vertical lines on the blots represent cropping of lanes on the same representative blot to show compound-treated lanes adjacent to DMSO control lanes. Figure S2. Effect of SR kinase depletion or inhibition on HIV-1 MS RNA Splicing. CEM-HIV* were either a infected with shRNA expressing lentiviruses to deplete indicated SR kinases or b treated with CLK inhibitors. 24 h after induction with Dox and prostratin, cells were harvested, RNA isolated, and RT-PCR performed to detect HIV-1 MS RNAs. Shown on the left are representative gels and, on the right, a summary of n > 3 independent samples. Figure S3. HIV-1 TAR and R-U5-Gag transcription profiles in CEM-HIV* cells. CEM-HIV* cells were uninduced (mock), induced with Dox, or Dox + prostratin for 24 h and cells harvested 24 h post-induction for RNA analysis by digital RT-qPCR. Measures of TAR or R-U5-Gag RNA were normalized to ß2M and results expressed as copy number per µg total RNA. Data are indicated as mean ± SD. Figure S4. Effect of SR kinase depletion or compound treatment on SR protein levels. a Depletion of CLK1 or CLK2 differentially affects abundance of select SR proteins. CEM-HIV* cells were infected with shRNA lentivirus against indicated SR kinases and transduced cells selected with puromycin for 72 h. Following selection, Dox + prostratin was added to induce HIV-1 gene expression and cells harvested for western blots. On the left are the representative western blots showing the effect of individual SR kinase knockdown on SR protein levels and on the right is the quantitation of the western blots across three independent experiments. Band intensity was quantified relative to induced shRNA control and normalized to total protein using Bio-Rad ImageLab software. Data are indicated as mean ± SEM, *p ≤ 0.05, **p ≤ 0.01, and ***p ≤ 0.001. Dotted vertical lines on the blots represent cropping of lanes on the same representative blot to show shRNA-target depletion lanes adjacent to shControl lanes. b Primary CD4+ T cells obtained from healthy donors were treated with DMSO or 200 nM 1H3 and cells harvested for western analysis after 3 days. On the left are the representative blots showing expression levels of indicated SR proteins and on the right is the quantitation of n = 3 blots from three independent donor samples. Band intensity was quantified relative to DMSO control and normalized to total protein using Bio-Rad ImageLab software. Data are indicated as mean ± SEM, *p ≤ 0.05. Dotted vertical lines on the blots represent cropping of lanes on the same representative blot to show 1H3-treated lanes adjacent to DMSO-treated lanes. Figure S5. Activation of primary CD4+ T cells changes the expression levels of select SR proteins with different kinetics. (refer Fig. 5). Representative western blots showing the expression of multiple different SR proteins in untreated versus treated/activated CD4+ T cell lysates at 24 h and 48 h post-activation. On the bottom is the quantitation of the blots across at least 3 donors. Band intensity was quantified relative to untreated control and normalized to total protein load using Bio-Rad ImageLab software. Figure S6. Characterization of 1H3, 2E3, and 1C8 as inhibitors of CMGC kinases (a) Nanosyn in vitro kinase profile of the effect of compounds listed in Table S3 on purified kinases [53]. Results are derived from assays with 196 kinases and only results from the subset whose activity was reduced are shown. Blue color indicates < 10% inhibition, yellow indicates > 70% inhibition. b Purified CLK1 was incubated with increasing concentrations of 1C8 and assayed for effect on CLK1 autophosphorylation. Figure S7. Alignment of CLK1-3. Shown is an alignment of human CLK1-3, indicating the high degree of conservation in the kinase C-terminal kinase domain and the variation in the N-terminal arginine-serine rich domain.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.889
Threshold uncertainty score0.158

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.019
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.8890.197

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 head0.023
GPT teacher head0.240
Teacher spread0.218 · 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 source (direct Gemma or distilled Codex), not a consensus.

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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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