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GSE162349 mRNA Sequencing of control and huntington's disease iPSC-derived medium spiny neuron-like cells and Q175 HET or WT mice. Plus and minus knockdown of PIAS1.
Contributors : Ryan G Lim ; Jie Wu ; Leslie M ThompsonSeries Type : Expression profiling by high throughput sequencingOrganism : Homo sapiens ; Mus musculusHD and control patient-derived induced pluripotent stem cells were used to generate medium spiny neuron-like cells. four control in duplicate and three HD samples in duplicate with CAG repeat length in juvenile onset range were differentiated as biological growth replicates (separate differentiations) into medium spiny neuron-like cells. Cells were treated with LNPs with siRNA for knockdown of PIAS1 or a luciferase control. Total RNA was isolated using the Qiagen RNeasy...
Source: GEO: Gene Expression Omnibus - January 1, 2021 Category: Genetics & Stem Cells Tags: Expression profiling by high throughput sequencing Homo sapiens Mus musculus Source Type: research

GSE98739 RNA-seq dataset for Identifying Novel Therapeutic Targets by Combining Transcriptional Data with Ordinal Clinical Measurements
We report an analytical approach to integrate ordinal clinical information with transcriptomics. We have applied this method to public data for a large cohort of Huntington ’s disease patients and controls, identifying and prioritizing phenotype-associated genes. To validate the approach, we have performed viability, siRNA knockdown, mRNA-seq, and ChIP-seq on striatal precursor cells expressing either full-length wild type (STHdh Q7) or mutant huntingtin (STHdh Q111) . We have verified the role of a high-ranked gene in dysregulation of sphingolipid metabolism in the disease and demonstrated that inhibiting the enzyme, SP...
Source: GEO: Gene Expression Omnibus - May 11, 2017 Category: Genetics & Stem Cells Tags: Expression profiling by high throughput sequencing Mus musculus Source Type: research

GSE98738 ChIP-seq dataset for H3K9ac in Identifying Novel Therapeutic Targets by Combining Transcriptional Data with Ordinal Clinical Measurements
We report an analytical approach to integrate ordinal clinical information with transcriptomics. We have applied this method to public data for a large cohort of Huntington ’s disease patients and controls, identifying and prioritizing phenotype-associated genes. To validate the approach, we have performed viability, siRNA knockdown, mRNA-seq, and ChIP-seq on striatal precursor cells expressing either full-length wild type (STHdh Q7) or mutant huntingtin (STHdh Q111) . We have verified the role of a high-ranked gene in dysregulation of sphingolipid metabolism in the disease and demonstrated that inhibiting the enzyme, SP...
Source: GEO: Gene Expression Omnibus - May 11, 2017 Category: Genetics & Stem Cells Tags: Genome binding/occupancy profiling by high throughput sequencing Mus musculus Source Type: research