Long non-coding RNAs (IncRNAs) are a class of transcripts with lengths exceeding 200 nucleotides that do not encode proteins. Despite their crucial roles in cellular functions and biological processes, only a minority of the over 20,000 annotated IncRNAs have been functionally characterized. Here, we established a high-throughput, CRISPR-Interference (CRISPRi) arrayed screening platform with serial cellular and molecular phenotyping to systematically characterize IncRNA functions. We reasoned that the integration of a comprehensive cellular and molecular phenotype can increase the probability of uncovering cellular functions and pathways controlled by IncRNA transcripts.
Detecting low-frequency mutations within a high-abundance wild-type (WT) background is essential for precision cancer diagnostics. Standard methods like qPCR and NGS, while effective, are hindered by high costs, complexity, and lengthy workflows. Electrochemical biosensors using mutation-specific capture probes offer a simpler, cost-effective alternative but lack the selectivity needed for detecting low-abundance mutations. To address this, we developed a high-throughput platform for systematically evaluating the hybridization affinity between biorecognition elements (capture probes) and target DNA under varied conditions.
Long non-coding RNAs (lncRNAs) are a class of transcripts with lengths exceeding 200 nucleotides that do not encode proteins. Despite their crucial roles in cellular functions and biological processes, only a minority of the over 20,000 annotated lncRNAs have been functionally characterized. Here, we established a high-throughput, CRISPR-Interference (CRISPRi) arrayed screening plaKorm with serial cellular and molecular phenotyping to systematically characterize lncRNA functions. We reasoned that the integration of a comprehensive cellular and molecular phenotype can increase the probability of uncovering cellular functions and pathways controlled by lncRNA transcripts.