Catalytically inactive SHIP2 inhibits proliferation by attenuating pdgf signaling in 3T3‐L1 preadipocytes
Bibliographic record
Abstract
Inadequate proliferation and/or differentiation of preadipocytes may lead to adipose tissue dysfunction characterized by hypertrophied, insulin-resistant adipocytes. Platelet-derived growth factor (PDGF) may alter adipose tissue function by promoting proliferation of preadipocytes. Two principal signaling pathways that regulate proliferation are PI3K/PI(3,4,5)P3/Akt and Shc/Ras/ERK1/2. SH2 domain-containing inositol 5-phosphatase 2 (SHIP2) dephosphorylates PI(3,4,5)P3, and also binds to Shc. Our goal was to determine how SHIP2 affects these PDGF signaling routes. To assess the role of the 5-phosphatase domain, we expressed wild-type or catalytically inactive dominant-negative SHIP2 (P686A-D690A-R691A; PDR/AAA) in 3T3-L1 preadipocytes. Surprisingly, SHIP2 PDR/AAA inhibited proliferation more potently than wild-type SHIP2. After three days of proliferation, phospho-Akt, phospho-ERK1/2, and PDGF receptor (PDGFR) levels were reduced in PDR/AAA-expressing preadipocytes. SHIP2 PDR/AAA interference with PDGFR signaling was demonstrated using imatinib, an inhibitor of PDGFR tyrosine kinase. The anti-proliferative effect of imatinib observed in control preadipocytes was not significant in SHIP2 PDR/AAA-expressing preadipocytes, indicating a pre-existing impairment of PDGFR-dependent mitogenesis in these cells. The inhibition of PDGF-activated mitogenic pathways by SHIP2 PDR/AAA was consistent with a decrease in PDGFR phosphorylation caused by a drop in receptor levels in SHIP2 PDR/AAA-expressing cells. SHIP2 PDR/AAA promoted ubiquitination of the PDGFR and its degradation via the lysosomal pathway independently of the association between the E3 ubiquitin ligase c-Cbl and PDGFR. Overall, our findings indicate that SHIP2 PDR/AAA reduces preadipocyte proliferation by attenuating PDGFR signaling.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".