Project description:We describe an R package designed for processing aligned reads from chromatin-oriented high-throughput sequencing experiments. Pasha (preprocessing of aligned sequences from HTS analyses) allows easy manipulation of aligned reads from short-read sequencing technologies (ChIP-Seq, FAIRE-seq, Mnase-Seq...) and offers innovative approaches to process and extract relevant information.
Project description:mRNA profiles of control Human Trophoblast Stem cell (HTS) and TEAD4 knock down HTS cells were generated by deep sequencing, in triplicate, using Illumina NovaSeq 6000 platform. TEAD4 Knock down in HTS cells were confirmed by RT-PCR analysis and immuno staining.
Project description:RNA-Seq is a powerful tool for transcriptome profiling, but is hampered by sequence-dependent bias and inaccuracy at low copy numbers intrinsic to exponential PCR amplification. We developed a simple strategy for mitigating these complications, allowing truly digital RNA-Seq. Following reverse transcription, a large set of barcode sequences is added in excess, and nearly every cDNA molecule is uniquely labeled by random attachment of barcode sequences to both ends. After PCR, we applied paired-end deep sequencing to read the two barcodes and cDNA sequences. Rather than counting the number of reads, RNA abundance is measured based on the number of unique barcode sequences observed for a given cDNA sequence. We optimized the barcodes to be unambiguously identifiable even in the presence of multiple sequencing errors. This method allows counting with single copy resolution despite sequence-dependent bias and PCR amplification noise, and is analogous to digital PCR but amendable to quantifying a whole transcriptome. We demonstrated transcriptome profiling of E. coli with more accurate and reproducible quantification than conventional RNA-Seq.
Project description:RNA-Seq is a powerful tool for transcriptome profiling, but is hampered by sequence-dependent bias and inaccuracy at low copy numbers intrinsic to exponential PCR amplification. We developed a simple strategy for mitigating these complications, allowing truly digital RNA-Seq. Following reverse transcription, a large set of barcode sequences is added in excess, and nearly every cDNA molecule is uniquely labeled by random attachment of barcode sequences to both ends. After PCR, we applied paired-end deep sequencing to read the two barcodes and cDNA sequences. Rather than counting the number of reads, RNA abundance is measured based on the number of unique barcode sequences observed for a given cDNA sequence. We optimized the barcodes to be unambiguously identifiable even in the presence of multiple sequencing errors. This method allows counting with single copy resolution despite sequence-dependent bias and PCR amplification noise, and is analogous to digital PCR but amendable to quantifying a whole transcriptome. We demonstrated transcriptome profiling of E. coli with more accurate and reproducible quantification than conventional RNA-Seq. We analyzed two replicates of the same bulk E. coli transcriptome sample. In each sample, we included internal standards to demonstrate that the digital RNA-Seq system may accurately count fragments correctly.
Project description:MicroRNAs (miRNAs) are short RNAs that regulate fundamental biological processes. miR-132, a key miRNA with established functions in Tau homeostasis and neuroprotection, is consistently downregulated in Alzheimer’s disease (AD) and other tauopathies. miR-132 overexpression rescues neurodegenerative phenotypes in several AD models. To complement research on miRNA-mimicking oligonucleotides targeting the central nervous system, we developed a high-throughput-screen coupled high-throughput-sequencing (HTS-HTS) in human induced pluripotent stem cell (iPSC)-derived neurons to identify small molecule inducers of miR-132. We discovered that cardiac glycosides, which are canonical sodium-potassium ATPase inhibitors, selectively upregulated miR-132 in the sub-μM range. Coordinately, cardiac glycoside treatment downregulated total and phosphorylated Tau in rodent and human neurons and protected against toxicity by glutamate, N-methyl-D-aspartate, rotenone, and Aβ oligomers. In conclusion, we identified small-molecule drugs that upregulated the neuroprotective miR-132 and ameliorated neurodegenerative phenotypes. Our dataset also represents a comprehensive resource for discovering small molecules that modulate specific miRNAs for therapeutic purposes.
Project description:HCC827 cells were barcoded using the ClonTracer lentiviral barcode library such that the majority of cells were infected with a single barcode. One million cells were expanded to ~120 million cells and split into 8 HYPERfasks. Two HYPERfasks were grown under DMSO and grown until confluence. In six HYPERfasks cells were grown under a GI90 concentration of one of two different inhibitors, gefitinib and trametinib (3 HYPERfasks each). Cells achieved confluence at 4 and 9 weeks for gefitinib and trametinib respectively. During this time, the medium and inhibitor were replenished weekly and DNA was extracted from the medium to track barcode content from dying cells.
