We’re excited to share the dataset “Impact of Post-Lysis Stopping Point Prior to Reverse Transcription,” generated using the newly developed particle-templated instant partition sequencing (PIP-seq) workflow. This dataset explores how pausing samples after cell lysis—before reverse transcription—affects single-cell transcriptomic data quality and downstream performance. By leveraging PIP-seq’s microfluidics-free, vortex-based emulsification approach, the study provides insights into workflow flexibility, sample handling robustness, and transcriptome integrity under varied processing conditions. These data offer a valuable resource for researchers optimizing single-cell RNA-seq protocols, particularly in settings where scalability, timing flexibility, or simplified instrumentation are critical.
