Comparative study using Raman microspectroscopy reveals spectral signatures of human induced pluripotent cells more closely resemble those from human embryonic stem cells than those from differentiated cells
Bibliographic record
Abstract
Raman microspectroscopy is a non-destructive, label-free optical technique that offers information-rich molecular analysis of living cells. We report here the first Raman spectral study of human induced pluripotent stem cells (hiPSCs), and compare their Raman features to those of human embryonic stem cells (hESCs) and differentiated progeny of hESCs. Raman spectra from 687 cm(-1) to 1073 cm(-1) were collected from living hiPSCs, hESCs and hESCs non-specifically differentiated for 20 days. Spectra of hiPSCs and hESCs were found to be highly similar, and both were distinguishable from differentiated hESCs in terms of relative Raman peak intensities and variances. Principal component analysis (PCA) of the spectra demonstrated a clear discrimination between hiPSCs and differentiated hESCs. These results suggested that reprogramming returned human somatic cells to a state where the overall cellular composition was similar to that of human embryonic stem cells. Some metabolic differences between the two groups of pluripotent cells could be inferred, however it was unclear whether or not these differences were related to reprogramming.
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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 | 0.001 | 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 | 0.000 |
| 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".