Publications by authors named "Kaite Zhang"
Regulatory relationships between transcription factors (TFs) and their target genes lie at the heart of cellular identity and function; however, uncovering these relationships is often labor-intensive and requires perturbations. Here, we propose a principled framework to systematically infer gene regulation for all TFs simultaneously in cells at steady state by leveraging the intrinsic variation in the transcriptional abundance across single cells. Through modeling and simulations, we characterize how transcriptional bursts of a TF gene are propagated to its target genes, including the expected ranges of time delay and magnitude of maximum covariation.
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- HyPR-seq is a new method for quantifying gene expression at the single-cell level, improving sensitivity for individual RNA transcripts compared to existing methods.
- It works by hybridizing DNA probes to RNA, then amplifying and sequencing these probes, allowing researchers to profile over 100,000 single cells efficiently.
- This technique not only identifies rare transcripts and measures gene expression changes but also significantly reduces costs, making it a practical choice for targeted RNA analysis in various biological applications.