Hypoxia differentially upregulates the expression of embryonic, fetal and adult hemoglobin in human glioblastoma cells
Why this work is in the frame
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Bibliographic record
Abstract
Hemoglobin is produced mainly in erythroid cells. However, it has been reported in non-erythroid cells of human and rodents. We have shown previously that neuroglobin, cytoglobin and hemoglobin are expressed in human glioblastoma multiforme (GBM) cells. We sought to determine whether hemoglobin expression is upregulated by hypoxia, and whether its expression is restricted to the cancer stem cell populations in different GBM cell lines or GBM brain tumor initiating cells (BTICs). Flow cytometry, magnetic cell sorting and qRT-PCR were used to examine the hypoxic upregulation of hemoglobins as well as erythropoietin (EPO) and erythropoietin receptor (EPOR) in GBM cell lines (M006x, M059J, M059K, U87R and U87T) and GBM-BTICs. The data showed significantly increased expression in globins (α, β, γ, δ, ζ and ε), EPO and EPOR mRNA levels under hypoxia. Globin expression is not limited to the stem cell populations or GBM-BTICs but is a property of the entire GBM population. We assumed that the total expression of mRNA of different normalized globins (α, β, γ, δ, ζ and ε) at different time‑points for the same cell line is 100%. Under aerobic conditions, ε globin was predominantly expressed, and then decreased gradually with increasing time in hypoxia. This was coupled to a concomitant increase in α and γ globins. Our findings suggest that hypoxic upregulation of hemoglobin expression in GBM cells may be a part of a repertoire of active defence and adaptation mechanisms enabling these cells to acquire resistance to aggressive multimodality treatments of chemotherapy and radiotherapy. New therapeutic strategies to interfere with hemoglobin expression or function in GBM cells are required.
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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 it