T-cell/histiocyte rich B cell lymphoma (THRBL) and nodular lymphocyte predominant Hodgkin's lymphoma (NLPHL) share some morphological characteristics, including a prominent stromal reaction, but display a markedly different prognosis. To investigate the difference between the stromal reactions of these lymphomas at the molecular level, we performed microarray expression profiling on a series of THRBL and NLPHL cases.
T-cell/histiocyte-rich large B-cell lymphoma shows transcriptional features suggestive of a tolerogenic host immune response.
Sex, Specimen part
View SamplesLymph node involvement is the most important prognostic factor in breast cancer, but little is known about the underlying molecular changes. First, to identify a molecular signature associated with nodal metastasis, gene expression analysis was performed on a homogeneous group of 96 primary breast tumors, balanced for lymph node involvement. Each tumor was diagnosed as a poorly differentiated, estrogen positive, her2-neu negative invasive ductal cancer. (Affymetrix Human U133 Plus 2.0 microarray chips). A model, including 241 genes was built and validated on an internal and external dataset performed with Affymetrix technology. All samples used for validation had the same characteristics as the initial tumors. The area under the ROC curve (AUC) for the internal dataset was 0.646 and 0.651 for the external datasets. Thus, the molecular profile of a breast tumor reveals information about lymph node involvement, even in a homogeneous group of tumors. However, an AUC of 0.65 indicates only a weak correlation. Our model includes multiple kinases, apoptosis related and zinc ion binding genes. Pathway analysis using the Molecular Signatures Database revealed relevant gene sets (BAF57, Van 't Veer). Next, miRNA profiling was performed on 82/96 tumors using Human MiRNA microarray chips (Illumina). Eight miRNAs were significantly differentially expressed according to lymph node status at a significance level of 0.05, without correcting for multiple testing. The analysis of the inverse correlation between a miRNA and its computationally predicted targets point to general deregulation of the miRNA machinery potentially responsible for lymph node invasion. In conclusion, our results provide evidence that lymph node involvement in breast cancer is not a random process.
Prediction of lymph node involvement in breast cancer from primary tumor tissue using gene expression profiling and miRNAs.
Disease, Disease stage
View SamplesThe local protein composition of chromatin is important for the regulation of transcription and other functions. By integrative analysis of genome-wide binding maps of 53 broadly selected chromatin components in Drosophila cells, we show that the genome is segmented into five principal chromatin types that are defined by unique, yet overlapping combinations of proteins, and form domains that can extend over >100 kb. We identify a novel repressive chromatin type that covers about half of the genome and lacks classic heterochromatin markers. Furthermore, transcriptionally active euchromatin consists of two distinct types that differ in molecular organization and H3K36 methylation, and regulate distinct classes of genes. Finally, we provide evidence that the different chromatin types act as guides that help to target DNA-binding factors to specific subsets of their recognition motifs. These results uncover basic principles of chromatin organization in a higher eukaryote. For this study, we generated whole-genome DamID binding profiles of 45 chromatin proteins in Drosophila Kc167 cells. Additionally, we perused published binding data of 8 chromatin proteins and generated a binding profile of one exogenous (yeast) DNA binding factor in Kc167 cells. On the same array platform, we obtained ChIP-on-chip profiles of histone H3, H1, H3K9me2, H3K27me3, H3K4me2, and H3K79me3. See supplementary files below. Gene expression was measured by RNA tag profiling. See GeneCounts supplementary file below. Overall design: [1] RNA tag sequences were optained on an Illumina GAII with the digital gene expression (DGE) module from duplicate RNA samples. [2] All DamID and ChIP experiments were done in Drosophila Kc167 cells in duplicate. Samples were hybridized to 380k NimbleGen arrays with 300 bp probe spacing. Every experiment was done in duplicate in the reverse dye orientation, where Dam-fusion material was hybridized over Dam-only material. For ChIP, immunoprecipitated material was hybridized over ChIP input material. 18 previously-submitted Samples were included in this study. 10 of 18 Samples have been renormalized for the GSE22069 study: GSM509087, GSM509088, GSM509089, GSM509090, GSM509091, GSM509092, GSM509093, GSM509094, GSM509095, GSM509096 New GSM accession numbers have been issued for these 10 samples. 8 of 18 Samples are identical in the original studies and in GSE22069: GSM423290, GSM423291, GSM423298, GSM423299, GSM493592, GSM493593, GSM509085, GSM509086 [3] The genomic locations in files GSE22069_norm_aggregated_discretized_tiling_arrays.txt and GSE22069_norm_aggregated_tiling_arrays.txt are relative to FlyBase release 5 (BDGP R5/dm3).
Systematic protein location mapping reveals five principal chromatin types in Drosophila cells.
Cell line, Treatment, Subject
View SamplesThe results of this study indicate that stenotic fibroblasts exhibit an aberrant response to tissue stiffness with reduced MMP activity, leading to a perpetuous vicious circle of ever more fibrosis formation. Altering the microenvironment by LOX inhibition increases MMP activity and decreases ECM contraction, resulting in a potential anti-fibrotic agent for Crohns disease.
Fibrostenotic Phenotype of Myofibroblasts in Crohn's Disease is Dependent on Tissue Stiffness and Reversed by LOX Inhibition.
Sex, Specimen part, Disease, Subject
View SamplesBackground:Alternative splicing and isoform level expression profiling is an emerging field of interest within genomics. Splicing sensitive microarrays, with probes targeted to individual exons or exon-junctions, are becoming increasingly popular as a tool capable of both expression profiling and finer scale isoform detection. Despite their intuitive appeal, relatively little is known about the performance of such tools, particularly in comparison with more traditional 3 targeted microarrays. Here, we use the well studied Microarray Quality Control (MAQC) dataset to benchmark the Affymetrix Exon Array, and compare it to two other popular platforms: Illumina, and Affymetrix U133.
Gene expression and isoform variation analysis using Affymetrix Exon Arrays.
No sample metadata fields
View SamplesBackground:Alternative splicing and isoform level expression profiling is an emerging field of interest within genomics. Splicing sensitive microarrays, with probes targeted to individual exons or exon-junctions, are becoming increasingly popular as a tool capable of both expression profiling and finer scale isoform detection. Despite their intuitive appeal, relatively little is known about the performance of such tools, particularly in comparison with more traditional 3 targeted microarrays. Here, we use the well studied Microarray Quality Control (MAQC) dataset to benchmark the Affymetrix Exon Array, and compare it to two other popular platforms: Illumina, and Affymetrix U133.
Gene expression and isoform variation analysis using Affymetrix Exon Arrays.
No sample metadata fields
View SamplesBackground:Alternative splicing and isoform level expression profiling is an emerging field of interest within genomics. Splicing sensitive microarrays, with probes targeted to individual exons or exon-junctions, are becoming increasingly popular as a tool capable of both expression profiling and finer scale isoform detection. Despite their intuitive appeal, relatively little is known about the performance of such tools, particularly in comparison with more traditional 3 targeted microarrays. Here, we use the well studied Microarray Quality Control (MAQC) dataset to benchmark the Affymetrix Exon Array, and compare it to two other popular platforms: Illumina, and Affymetrix U133.
Gene expression and isoform variation analysis using Affymetrix Exon Arrays.
No sample metadata fields
View SamplesPitx1, critical regulator of a limited hindlimb-specific gene network, targets the limb development program common to both fore- and hindlimbs in order to implement hindlimb-specific limb morphology. Overall design: The gene regulatory networks governing forelimb vs. hindlimb development in mouse were investigated using expressing profiling of morphologically stage-matched e10.5 forelimbs and e11.0 hindlimbs, ChIPseq of chromatin marks, and ChIPseq of limb-specific transcription factors Pitx1 and Tbx5. The makeup of the Pitx1-directed components of the hindlimb gene network were investigated using expression profiling of Pitx1 null hindlimbs at two stages (e11.0 and e11.5).
Regulatory integration of Hox factor activity with T-box factors in limb development.
Specimen part, Cell line, Subject
View SamplesThe combinatorial expression of the Hox genes along the body axes, referred to as the HOX code, is a major determinant of cell fate and plays a prevailing role in generating the animal body plan. In developing limb buds, the paralogous group 13 genes of the HoxA and HoxD clusters are essential for patterning the distal-most limb structures, the digits. Inactivation of HOXA13 and HOXD13 transcription factors (HOX13) leads to complete digit agenesis in mice, but how HOX13 regulate transcriptional outcomes and confer identity to the distal-most limb cells has remained elusive. Here we performed genome-wide profiling of HOX13 by chromatin immunoprecipitation and analyzed the transcriptome and chromatin state of wild type early and late-distal limb buds, as well as Hoxa13-/-;Hoxd13-/- compound mutant limb buds. Our results show that inactivation of HOX13 impairs the activation and repression of putative cis-regulatory modules specific to the late-distal limb cells. Loss of HOX13 also disrupts the specific, spatial patterning of gene expression along the proximal-distal axis of the developing limb buds. These results show that proper termination of the early limb transcriptional program and activation of the late-distal limb program are coordinated by the dual action of HOX13 on cis-regulatory modules. Overall design: Totla mRNAs from dissected distal parts of e11.5 forelimb, of wild-type as well as Hoxa13-/-;Hoxd13-/- mice
Regulatory integration of Hox factor activity with T-box factors in limb development.
Specimen part, Cell line, Subject
View SamplesCongenital glioblastoma multiforme (cGBM) historically has been considered an aggressive tumor of infancy requiring extensive chemotherapy to achieve cure. We report on 4 patients at our institution with cGBMs who were treated with surgery and chemotherapy (carboplatin and etoposide every 21 days for 2-6 cycles). Four of four patients are progression free at a median time of 27.5 months (22-103 months). To characterize the molecular biology of cGBM, we compared the gene expression profiles of 3 cGBMs to 12 pediatric and 6 primary adult glioblastomas collected at our institution. Unsupervised hierarchical clustering showed cGBMs grouped together with other high-grade gliomas. cGBMs demonstrated marked similarity to both pediatric and adult GBMs, with only a total of 31 differentially expressed genes identified (FDR < 0.05). Unique molecular features of congenital GBMs identified included over-expression of multiple genes involved in glucose metabolism and tissue hypoxia pathways. Four tyrosine kinases were also mong the up-regulated genes (RET, RASGRF2, EFNA5, ALK). Thus, at our institution congenital GBMs, while similar both histologically and molecularly to other GBMs, appear to have a good prognosis with surgery in combination with relatively moderate chemotherapy. Further study is needed to determine if the few gene expression differences that were identified may contribute to the better survival seen in these tumors compared to pediatric or adult GBMs.
Clinical and molecular characteristics of congenital glioblastoma.
Sex, Disease, Disease stage
View Samples