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Record W2304775326 · doi:10.1093/humrep/dev175

Transforming growth factor-β1 up-regulates connexin43 expression in human granulosa cells

2015· article· en· W2304775326 on OpenAlex
Yu‐Ching Chen, Hsun‐Ming Chang, Jung‐Chien Cheng, Horng‐Der Tsai, Cheng-Hsuan Wu, Peter C. K. Leung

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHuman Reproduction · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicConnexins and lens biology
Canadian institutionsChild and Family Research InstituteUniversity of British Columbia
FundersCanadian Institutes of Health Research
KeywordsGranulosa cellSMADTransforming growth factorBiologyCell biologySmad2 ProteinReceptorCell cultureSignal transductionEndocrinologyInternal medicineMolecular biologyFollicular phaseMedicineGenetics

Abstract

fetched live from OpenAlex

STUDY QUESTION: Does transforming growth factor-β1 (TGF-β1) up-regulate connexin43 (Cx43) to promote cell-cell communication in human granulosa cells? SUMMARY ANSWER: TGF-β1 up-regulates Cx43 and increases gap junction intercellular communication activities (GJIC) in human granulosa cells, and this effect occurs via the activin receptor-like kinase (ALK)5-mediated Sma- and Mad-related protein (SMAD)2/3-SMAD4-dependent pathway. WHAT IS KNOWN ALREADY: TGF-β1 and its receptors are expressed in human granulosa cells, and follicular fluid contains TGF-β1 protein. In human granulosa cells, Cx43 gap junctions play an important role in the development of follicles and oocytes. STUDY DESIGN, SIZE, DURATION: This is an experimental study which was performed over a 1-year period. PARTICIPANTS/MATERIALS, SETTING, METHODS: Immortalized human granulosa cells (SVOG cells) and primary human granulosa-lutein cells obtained from women undergoing IVF in an academic research center were used as the study models. Cx43 mRNA and protein expression levels were examined after exposure of SVOG cells to recombinant human TGF-β1. An activin/TGF-β type I receptor inhibitor, SB431542, and small interfering RNAs targeting ALK4, ALK5, SMAD2, SMAD3 and SMAD4 were used to verify the specificity of the effects and to investigate the molecular mechanisms. Real-time-quantitative PCR and western blot analysis were used to detect the specific mRNA and protein levels, respectively. GJIC between SVOG cells were evaluated using a scrape loading and dye transfer assay. Results were analyzed by one-way analysis of variance. MAIN RESULTS AND THE ROLE OF CHANCE: TGF-β1 treatment increased phosphorylation of SMAD2/3 (P < 0.0001) and up-regulated Cx43 mRNA and protein levels (P < 0.001) in SVOG cells and these stimulatory effects were abolished by the TGF-β type I receptor inhibitor SB431542. In addition, the up-regulatory effect of TGF-β1 on Cx43 expression (mRNA and protein) was confirmed in primary cultures of human granulosa-lutein cells (P < 0.05). The small interfering RNA-mediated knockdown of ALK5, but not ALK4, abolished the TGF-β1-induced phosphorylation of SMAD2/3 and the up-regulation of Cx43. Furthermore, knockdown of SMAD2/3 or the common SMAD, SMAD4, abolished the stimulatory effects of TGF-β1 on Cx43 expression in SVOG cells. The TGF-β1-induced up-regulation of Cx43 contributed to the increase of GJIC between SVOG cells (P < 0.001). LIMITATIONS, REASONS FOR CAUTION: The results of this study were generated from in vitro system and may not reflect the intra-ovarian microenvironment in vivo. WIDER IMPLICATIONS OF THE FINDINGS: Our studies represent the first comprehensive research of molecular mechanisms of TGF-β1 in the regulation of Cx43 expression and GJIC in human granulosa cells and demonstrate that TGF-β1 may play a crucial role in the local modulation of cell-cell communication. Deepening our understanding of the molecular determinants will offer important insights into ovarian physiology and lead to the development of potential therapeutic methods for fertility regulation. STUDY FUNDING/COMPETING INTERESTS: This research was supported by an operating grant from the Canadian Institutes of Health Research to P.C.K.L. There are no conflicts of interest to declare. TRIAL REGISTRATION NUMBER: NA.

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.

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)0.000
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 score0.012
Threshold uncertainty score0.746

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.031
GPT teacher head0.275
Teacher spread0.244 · 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