Large- Scale Analysis of MicroRNA Expression in Motor Neuron- like Cells derived from Human Umbilical Cord Blood Mesenchymal Stem Cells
Bibliographic record
Abstract
Abstract Background Motor neuron- related disorders such as Spinal Cord Injuries and Amyotrophic Lateral Sclerosis are extremely common around the world. Many efforts have been made to use stem cells to modulate regeneration of spinal cord damages. Human umbilical cord blood mesenchymal stem cells (CB-MSCs) cover a class of cells with self-renewal feature and multilineage differentiation capacity. Retinoic acid(RA) and sonic hedgehog(Shh) are two morphogens responsible in motorneuron commitment during development. This study aims to explore the effect of Shh and RA on differentiation of CB-MSCs into motor neuron- like cells and to determine the related microRNA profile. To do that, human MSCs were isolated and then characterized using flowcytometry. The cells were induced using RA and Shh and the outcomes were assessed by immunocytochemistry, real-time- PCR, and flowcytometry. MicroRNA analysis was performed using Solexa system at three libraries, including Test 1 (with RA and Shh), Test 2 (After removing RA and Shh) and the Control. Results The isolated cells were spindle shape and could express MSC markers confirmed by flowcytometry. The cells could express motorneuron- related markers including Islet-1, Hb-9, SMI-32 and ChAT at the level of mRNA and protein, when treated with RA and Shh. Two weeks after induction, the expression of Neun and Islet-1 declined. The analysis of miRNA sequencing revealed a significant expression of mir-let-7b, mir-137 and mir-324-5p, which were responsible for neuron/motor neuron differentiation and suppression of neural progenitor cell proliferation. Moreover, some novel microRNAs involved in cholinergic, Jak- Stat, Hedgehog and Map kinase signaling pathways were revealed. Conclusion CB-MSC represents a type of cells with convenient accessibility, which can be differentiated into motor neuron- like cells in the presence of RA and Shh. We could also detect the expression of candid microRNAs responsible in motor neuron differentiation and some novel microRNAs involved in cholinergic, Jak- Stat, Hedgehog and Map kinase signaling pathways that must be functionally evaluated in further studies.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".