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Record W3211681446 · doi:10.26434/chemrxiv.14558121.v1

The Transcriptional Repressor Orphan Nuclear Receptor TLX Is Responsive to Caffeine and Istradefylline

2021· preprint· en· W3211681446 on OpenAlexfundno aff
Giuseppe Faudone, Whitney Kilu, Xiaomin Ni, A. Chaikuad, Sridhar Sreeramulu, Pascal Heitel, Harald Schwalbe, Stefan Knapp, Manfred Schubert‐Zsilavecz, Jan Heering, Daniel Merk

Bibliographic record

VenueChemRxiv · 2021
Typepreprint
Languageen
FieldNeuroscience
TopicNuclear Receptors and Signaling
Canadian institutionsnot available
FundersAventis FoundationOntario Genomics InstituteEuropean Federation of Pharmaceutical Industries and AssociationsMerck KGaAOntario GenomicsGenome CanadaFundação de Amparo à Pesquisa do Estado de São PauloMcGill UniversityGenentechBayerPfizer
KeywordsNuclear receptorRepressorOrphan receptorReceptorChemistryTranscription factorCell biologyBiologyGeneBiochemistry

Abstract

fetched live from OpenAlex

The orphan nuclear receptor TLX is expressed almost exclusively in neural stem cells. TLX acts as an essential factor for neural stem cell survival and is hence considered as a promising drug target in neurodegeneration. However, few studies have characterized the roles of TLX due to a lack of ligands and limited functional understanding. Here, we identify caffeine and istradefylline as TLX ligands that counteract the receptor’s intrinsic repressor activity in reporter gene assays and modulate TLX regulated SIRT1 and p21 expression. Mutagenesis of residues lining a cavity within the TLX ligand binding domain altered activity of these ligands suggesting direct interactions with helix 5. Using istradefylline as a tool compound, we observed ligand-sensitive recruitment of the co-repressor SMRT and heterodimerization of TLX with RXR. Both protein-protein complexes evolve as factors that modulate TLX function and suggest an unprecedented role of TLX in directly repressing other nuclear receptors.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.368
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.037
GPT teacher head0.268
Teacher spread0.231 · 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.

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

Citations2
Published2021
Admission routes1
Has abstractyes

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