Rho GTPase regulatory proteins contribute to podocyte morphology and function
Bibliographic record
Abstract
Podocytes are a critical cellular component of the glomerular filtration barrier, whose strict permselectivity prohibits the passage of large proteins and charged species into the urine. Phenotypic variability or injury of these highly specialized cells can lead to proteinuria and has been linked with altered activity of Rho GTPases, which are strongly associated with the actin cytoskeleton. Notable regulators of these intracellular molecular switches are called guanine nucleotide exchange factors (GEFs), GTPase-activating proteins (GAPs), and guanine nucleotide dissociation inhibitors (GDIs). In this study, the roles of several GEFs in podocyte morphology and activity were investigated, including ECT2, ARHGEF2, ARHGEF26, and ARHGEF40. Results from RhoA and Rac1 G-LISA Activation Assays indicated that the absence of ARHGEF40 impairs epidermal growth factor (EGF)-stimulated RhoA and Rac1 activation, whereas knockout of ARHGEF2 and ARHGEF26 may selectively diminish RhoA activation. Furthermore, filopodia formation was hindered for the ARHGEF40 knockout. There are a number of additional investigations underway to understand Rho GTPase regulatory proteins, including the elimination of new sets of GEFs and GAPs in vivo. It is hopeful that these studies can provide insights into potential novel therapeutic strategies for proteinuria.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".