Assessing Na+/H+ exchange and cell effector functionality in metastatic breast cancer
Bibliographic record
Abstract
Metastasis is the leading cause of mortality in patients with breast cancer. In triple-negative breast cancer, high recurrence rates, increased invasive capacity of cells, and their aggressive ability to metastasize at secondary sites dictate patient survival. The Na+/H+ exchanger isoform 1 (NHE1) plays a critical role in controlling the metastatic potential of these cells. Its activity results in an elevation of intracellular pH and in extracellular acidification, a key step in the establishment of the tumor microenvironment. Here, we describe assays for characterization of Na+/H+ exchanger activity and its related downstream physiological effects on triple-negative breast cancer cells. Na+/H+ exchanger activity can be routinely and rapidly measured in live cells with a fluorometric assay that assesses changes in intracellular pH. Characterization of downstream cell effector function as a result of Na+/H+ exchanger activation can be evaluated by measuring directed cell migration and invasion. Cell migration is assessed with wound-healing assays, where a gap is introduced in a confluent monolayer of cells and the rate of gap closure is measured over time. Cell invasion is assessed in the short-term by transwell invasion assays that track cell movement through an extracellular matrix. Long-term invasiveness, growth and proliferation can be assessed with 3-D invasion assays using transwell inserts fitted with specialized scaffolds optimized for 3-D cell culture. Taken together these assays provide powerful tools for testing the effects of altering Na+/H+ exchanger activity with chemical inhibition on the metastatic capacity of breast cancer cells.
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 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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".