Overexpression of Chemokine Receptors on Neural Stem Cells Pretreated with Valproic acid: Towards Improved Homing
Bibliographic record
Abstract
Neural stem cells (NSCs) have considerable capacity for self-renewing and also ability for generating neurons in the mammalian brain. However, one of the big challenges is the migration and targeted homing of transplanted NSCs into the injured site to treat neurodegenerative diseases including Alzheimer´s disease (AD), Parkinson’s disease (PD), multiple sclerosis (MS), amyotrophic lateral sclerosis (ALS), brain ischemia (BI) and spinal cord injury (SCI). To improve homing capacity, pretreatment of NSCs with Valproic acid (VPA), which is supposed to cause diverse effects on migration ability of NSCs, is a strategy. More recently, hind brain and olfactory bulbs have been introduced as a good source of NSCs. So, NSCs were isolated from these two sources of postnatal day 1 (PND1) rats. These isolated cells were characterized by expressing neuronal markers such as Nestin and Sox2. The expression of four selected chemokine receptors (CXCR4, CXCR6, CCR1 and CCR7), which are important effectors in homing of stem cells, was investigated. It is concluded that VPA treatment enhances NSCs migration and homing showing its potential to be applied for cell-based therapies.
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".