Additional file 1 of Suspension culture improves iPSC expansion and pluripotency phenotype
Bibliographic record
Abstract
Additional file 1. Supplementary Figures. Figure S1. Extended quality control performed on reprogrammed iPSC lines. A Gating strategy used for flow cytometric analysis of the selected iPSC line with isotype control. Briefly, forward and side scatter was used to identify the cell population and remove debris and other events of non-interest based on size and complexity. Width and height of cells was used to exclude the double or multiple cells from single cells. Single cells were selected for further analysis and examined for the expression of Oct4, SSEA4, Nanog and Sox2. Isotype controls were used to accurately gate positive staining and data were acquired using the CytoFLEX S flow cytometer and analysed using the CytExpert software (Beckman Coulter). B Gating strategy for cytometric analysis of Tra-1-60 and Tra-1-81 with single stain results. C Clearance of reprogramming vectors and lack of mycoplasma contamination. To test the absence of the Sendai reprogramming vectors a PCR that detects the Sendai virus genome and the transgenes, was used. PCR products were analysed by 1% agarose gel electrophoresis. iPSCs were tested for the expression of Sev, KOS, KLF4, and c-Myc with β-actin as an internal control. Infected PBMC were used as positive control for transgene presence while un-infected PBMC were used as negative control. Similarly, Mycoplasma PCR Detection Kit was used to detect contamination by 200+ strains of Mycoplasmas. This kit includes a positive Mycoplasma control and water was used as negative control. Full-length blots/gels are presented. Figure S2. Expansion and evaluation of four iPSC lines expanded in 2D planar and 3D suspension cell culture. A Cell size following 3D suspension cluster dissociation and 2D cell passaging on days 0, 3, and 5 of expansion of three iPSC lines. B Absolute cell number expansion using 2D planar and 3D suspension cell culture of iPSC line 1, C iPSC line 2, D iPSC line 3 and E iPSC line 4. F Fold expansion following 3 and 5 days of cell expansion in 2D planar and 3D suspension cell culture of four iPSC lines. Figure S3. pH and metabolite concentration in media of induced pluripotent stem cells (iPSCs) expanded in two-dimensional planar (2D) and three dimensional suspension (3D) cell culture conditions. A pH of cell culture media over time for expanded iPSCs in 2D and 3D conditions (n = 3 per group). C Glucose concentration of cell culture media over time for expanded iPSCs in 2D and 3D conditions (n = 3 per group). E Lactate concentration of cell culture media over time for expanded iPSCs in 2D and 3D conditions (n = 3 per group). G Glutamine concentration of cell culture media over time for expanded iPSCs in 2D and 3D conditions (n = 3 per group). I Lactate dehydrogenase concentration of cell culture media over time for expanded iPSCs in 2D and 3D conditions (n = 3 per group). K Ammonia concentration of cell culture media over time for expanded iPSCs in 2D and 3D conditions (n = 3 per group). B Area under the curve (AUC) for pH, D glucose, F lactate, H glutamine, J lactate dehydrogenase and L ammonia measurements from day 0 to day 5 from iPSCs cultured in 2D and 3D conditions (n = 3 per group). Figure S4. Comparison of embryoid bodies generated from iPSCs expanded through 2D planar and 3D suspension culture conditions. A Microscopy showing embryoid body morphology and immunohistochemistry of embryoid bodies evaluating ectoderm, mesoderm, and endoderm markers to assess spontaneous differentiation. B Transcriptomic assessment of ectoderm, C mesoderm, and D endoderm gene expression within embryoid bodies generated from 2D planar and 3D suspension conditions and iPSCs expanded using 2D planar and 3D suspension culture conditions. E Genetic microarray results comparing the expression of key pluripotency genes among PBMCs and embryoid bodies generated from 2D planar and 3D suspension iPSCs. F Differential expression of in 2D and 3D embryoid bodies of primed markers FGF2, G DNMT3B and H IDO1 and I naïve markers GDF3, J Nanog and K c-Myc. Figure S5. Flow cytometric cell characterization following 1, 5, and 10 passages using 2D planar and 3D suspension iPSC expansion. Characterization of Oct4, SSEA4, Sox2, Nanog, Tra-1-60, and Tra-1-81 pluripotency markers, CD24, CD130, CD90, CD75, naïve/prime markers, and Ki67 during iPSC expansion using 2D planar and 3D suspension approaches following A 1 passage, B 5 passages, and C 10 passages. Figure S6. Transcript assessment of iPSCs expanded using 2D planar and 3D suspension protocols. Only statistically significant differences are noted within graphs. Supplementary Tables. Table S1. Patient demographics used in this study. Table S2. Polymerase chain reaction mix used for assessment of viral clearance in iPSCs. *x3.2 reactions were prepared to allow for 1 tube containing the test sample one for the positive control (Beta actin) well and one for the negative control (nuclease free water). Table S3. Forward and reverse primer sequences for polymerase chain reaction assessment of viral clearance in induced pluripotent stem cells. These sequences were adapted from CytoTune iPS 2.0 Sendai Reprogramming Kit (Thermo Fisher cat. A16517). Table S4. Thermocycler set up for Viral Screening PCR. Table S5. Quantitative Polymerase Chain Reaction Sequence for Karyotype Analysis. Table S6. Thermo Fisher TaqMan Micro Array configuration. Table S7. Sequences and amplicon length of primers used for RT-PCR assessment. Table S8. Antibodies and concentrations used for flow cytometry and immunohistochemistry. *All secondaries for flow cytometry were used at a 1:500 concentration and all secondaries for immunohistochemistry were used at a 1:250 concentration.
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 | 0.002 | 0.017 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.867 | 0.251 |
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".