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GSE14434
Homo sapiens
3 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The goal of the microarray experiment was to do a head-to-head comparison of the U1 Adaptor technology with siRNA in terms of specificity at the genome-wide level. U1 Adaptors represent a novel gene silencing method that employs a mechanism of action distinct from antisense and RNA interference (RNAi). The U1 Adaptor is a bifunctional oligonucleotide having a Target Domain that is complementary to a site in the target gene's terminal exon and a U1 Domain that binds to the U1 small nuclear RNA (snRNA) component of the U1 small nuclear ribonucleoprotein (U1 snRNP) splicing factor. Tethering of U1 snRNP to the target pre-mRNA inhibits 3' end processing (i.e., polyA tail addition) leading to degradation of that RNA species within the nucleus thereby reducing mRNA levels. We demonstrate that U1 Adaptors can specifically inhibit both reporter and endogenous genes. Further, targeting the same gene either with multiple U1 Adaptors or with U1 Adaptors and small interfering RNAs (siRNAs), strongly enhances gene silencing, the latter as predicted from their distinct mechanisms of action. Such combinatorial targeting requires lower amounts of oligonucleotides to achieve potent silencing.
Publication Title
Gene silencing by synthetic U1 adaptors.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 2 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
We recently identified the nonreceptor tyrosine kinase syk as a tumor suppressor in pancreatic ductal adenocarcinoma cells. Reintroduction of syk into Panc1 cells promoted a more differentiated phenotype and retarded invasion and tumorigenic growth. Gene array analysis identified over 2,000 transcripts differentially expressed at FDR<0.01. Among these were members of the MMP2 axis, which were subsequently shown to regulate Panc1 invasion.
Publication Title
Syk tyrosine kinase acts as a pancreatic adenocarcinoma tumor suppressor by regulating cellular growth and invasion.
Sample Metadata Fields
Cell line
View Samples- Mus musculus
- 66 Downloadable Samples
Illumina HiSeq 2500, Illumina HiSeq 2000, Illumina Genome Analyzer II
Description
Alternative cleavage and polyadenylation (APA) results in mRNA isoforms containing different 3' untranslated regions (3'UTRs) and/or coding sequences. How core cleavage and polyadenylation (C/P) factors regulate APA is not well understood. Using siRNA knockdown coupled with deep sequencing, we found that several C/P factors can play significant roles in 3'UTR-APA. Whereas Pcf11 and Fip1 enhance usage of proximal poly(A) sites (pAs), CFI-25/68, PABPN1, and PABPC1 promote usage of distal pAs. Strong cis element biases were found for pAs regulated by CFI or Fip1, and the distance between pAs plays an important role in APA regulation. In addition, intronic pAs are substantially regulated by splicing factors, with U1 mostly influencing C/P events in 5' introns and U2 impacting those in efficiently spliced introns. Furthermore, PABPN1 regulates expression of transcripts with pAs near the transcription start site, a property possibly related to its role in RNA degradation. Finally, we found that groups of APA events regulated by C/P factors are also modulated in cell differentiation and development with distinct trends. Together, our results indicate that the abundance of different C/P factors and splicing factors plays diverse roles in APA, and is relevant to APA regulation in biological conditions. Overall design: knockdown experiments of 23 C/P factors, 3 splicing factors and U1D in mouse C2C12 myoblast cells
Publication Title
Systematic profiling of poly(A)+ transcripts modulated by core 3' end processing and splicing factors reveals regulatory rules of alternative cleavage and polyadenylation.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 6 Downloadable Samples
- NextSeq500
Description
Technical advances have enabled the collection of genome and transcriptome data sets with single-cell resolution. However, single-cell characterization of the epigenome has remained challenging. Furthermore, because cells must be physically separated prior to biochemical processing, conventional single-cell preparatory methods scale linearly. We applied combinatorial cellular indexing to measure chromatin accessibility in thousands of single cells per assay, circumventing the need for compartmentalization of individual cells. We report chromatin accessibility profiles from over 15,000 single cells and use these data to cluster cells on the basis of chromatin accessibility landscapes. We identify modules of coordinately regulated chromatin accessibility at the level of single cells both between and within cell types, with a scalable method that may accelerate progress toward a human cell atlas. Overall design: 3 replicates from GM12878 and HL-60 cell lines collected for differential gene expression analysis.
Publication Title
Multiplex single cell profiling of chromatin accessibility by combinatorial cellular indexing.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 4 Downloadable Samples
Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Low levels of the cell cycle regulator p27Kip1 are associated with a worse outcome in many tumor types. We report here a new regulatory role of p27Kip1 as a transcriptional regulator. In association with transcriptional factors such as ETS and E2F4 and co-repressors like p130, HDACs and mSin3A, p27 binds to promoters of multiple genes leading to their repression. The p27-target genes participate in RNA processing, translation, respiration and cell cycle. Remarkably, p27-target genes are over-expressed in different human tumors in tight association with a poor clinical prognosis. We also observed a clear correlation between low levels of p27 and over-expression of p27-target genes in tumors. Overall, our findings indicate new tumor suppressor roles of p271 as a transcriptional regulator of genes relevant for oncogenesis.
Publication Title
p27Kip1 represses transcription by direct interaction with p130/E2F4 at the promoters of target genes.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 9 Downloadable Samples
- Affymetrix Mouse Clariom S Array (clariomsmouse)
Description
Skeletal muscle myofibers accrue hundreds of nuclei during post-natal development via fusion with activated satellite cells (myoblasts), which is absolutely reliant on expression of the muscle fusogen myomaker (Mymk) in the myoblasts. Using an inducible genetic approach to render myoblasts non-fusogenic (by tamoxifen-inducible Pax7-CreER mediated recombination of the Mymk gene exclusively in satellite cells), we blocked myonuclear accrual at different time-points of post-natal development and thereby titrated the number of nuclei in resultant mutant myofibers. These Microarray assays were carried out on age day 28 (P28) using total RNA isolated from control and mutant muscle to determine changes in transcriptional profiles of these muscles to (a) assess effects of myonuclear titration, and (b) identify adaptive mechanisms elicited in mutant muscles in response to myonuclear deficiency.
Publication Title
Nuclear numbers in syncytial muscle fibers promote size but limit the development of larger myonuclear domains.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 10 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Most differentiation protocols for generation of hepatocyte-like cells from iPS cells generate cells with heterogenous expression of hepatic markers, which confounds results from liver disease models involving complex traits and subtle phenotypes
Publication Title
Mapping the Cell-Surface N-Glycoproteome of Human Hepatocytes Reveals Markers for Selecting a Homogeneous Population of iPSC-Derived Hepatocytes.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 36 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Background: Acute myeloid leukemia (AML) is driven by somatic mutations and genomic rearrangements affecting >20 genes. Many of these are recent discoveries and how this molecular heterogeneity dictates AML pathophysiology and clinical outcome remains unclear. Methods: We sequenced 111 leukemia genes for driver mutations in 1540 AML patients with cytogenetic and clinical data. We modeled AMLs genomic structure, defining genetic interactions, patterns of temporal evolution and clinical correlations. Results: We identified 5,236 driver mutations involving 77 loci, including hotspot mutations in MYC. We found 1 driver mutation in 96% patients, and 2 in 85%. Gene mutations implicated in age related clonal hematopoiesis (DNMT3A, ASXL1, TET2) were the earliest in AML evolution, followed by highly specific and ordered patterns of co-mutation in chromatin, transcription and splicing regulators, NPM1 and signaling genes. The patterns of co-mutation compartmentalize AML into 12 discrete molecular classes, each presenting with distinct clinical manifestation. Amongst these, mutations in chromatin and spliceosome genes demarcate a molecularly heterogeneous subgroup enriched for older AML patients currently classified as intermediate risk and results in adverse prognosis. Two- and three-way genetic interactions often implicating rare genes/mutation-hotspots, markedly redefined clinical response and long-term curability, with the NPM1:DNMT3A:FLT3ITD genotype (6% patients) identifying poor prognosis disease, whereas within the same class NPM1:DNMT3A:NRASG12/13 (3%) associated with favorable outlooks. Conclusions: 79% of AML is molecularly classified in 12 genomic subgroups. These represent distinct molecular phylogenies, implicating complex genotypes. Delineation of higher-order genomic relationships, guide the development of personally tailored classification, prognostication and clinical protocols. Similar studies across cancer types are warranted.
Publication Title
Genomic Classification and Prognosis in Acute Myeloid Leukemia.
Sample Metadata Fields
Specimen part, Disease
View Samples- Homo sapiens
- 5 Downloadable Samples
- Illumina HiSeq 2000
Description
We demonstrate that dCas9-SunTag-DNMT3A dramatically increased CpG methylation at the HOXA5 locus in human embryonic kidney 293T cells (HEK293T). Furthermore, using a single sgRNA, dCas9-SunTag-DNMT3A was able to methylate a 4.5 kb genomic region and repress HOXA5 gene expression. Reduced representation bisulfite sequencing (RRBS) and RNA-seq showed that dCas9-SunTag-DNMT3A methylated regions of interest with minimal impact on the global DNA methylome and transcriptome. Overall design: I)PCR amplicon deep sequencing of dCas9-SunTag-DNMT3A treated HEK2937 samples using Illumina Nextseq sequencing system. II) Reduced representation bisulfited sequencing (RRBS) of plasmid transfected HEK 293T cells using Illumina Hiseq2000 sequencing system. III) Whole genome bisulfite sequencing of dCas9-SunTag-DNMT3A treated HEK2937 samples. IV) RNA sequencing of dCas9-SunTag-DNMT3A treated HEK2937 samples
Publication Title
DNA epigenome editing using CRISPR-Cas SunTag-directed DNMT3A.
Sample Metadata Fields
Specimen part, Cell line, Subject
View Samples- Mus musculus
- 3 Downloadable Samples
- Illumina MouseWG-6 v2.0 expression beadchip
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
ATOH1 Promotes Leptomeningeal Dissemination and Metastasis of Sonic Hedgehog Subgroup Medulloblastomas.
Sample Metadata Fields
Specimen part
View Samples