I conducted exploratory single-cell transcriptome analyses to characterize cell populations in an in vitro differentiation setting, focusing on germline-like and somatic-like features using standard computational analysis workflows.
For contextual comparison, I referenced a publicly available in vivo dataset. Because appropriate reference data were limited, the comparison was necessarily constrained. Within those limits, the analyses suggested limited signals broadly consistent with later developmental programs, and I compared these patterns with the in vitro condition.
A subset appeared to align with in vivo-like patterns, while other signals may reflect cell states that are specific to the in vitro environment and require further validation.
For somatic-oriented comparisons, the in vitro-formed populations appeared to differ from in vivo references in relative composition and the strength of marker-gene expression. Given time constraints, I am currently re-running and validating the analyses more carefully.
Overall, this profiling helped clarify near-term analytical questions and highlighted areas that warrant cautious interpretation and further work.
The views expressed here are solely my own and do not represent those of my laboratory. This text was drafted by the author and subsequently edited for clarity with the assistance of an AI tool. No unpublished proprietary protocols or data are disclosed.
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