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accession-icon SRP015332
Multiple insert size paired-end sequencing for deconvolution of complex transcriptomes
  • organism-icon Caenorhabditis elegans
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

Deep sequencing of transcriptomes allows quantitative and qualitative analysis of many RNA species in a sample, with parallel comparison of expression levels, splicing variants, natural antisense transcripts, RNA editing and transcriptional start and stop sites the ideal goal. By computational modeling, we show how libraries of multiple insert sizes combined with strand-specific, paired-end (SS-PE) sequencing can increase the information gained on alternative splicing, especially in higher eukaryotes. Despite the benefits of gaining SS-PE data with paired ends of varying distance, the standard Illumina protocol allows only non-strand-specific, paired-end sequencing with a single insert size. Here, we modify the Illumina RNA ligation protocol to allow SS-PE sequencing by using a custom pre-adenylated 3’ adaptor. We generate parallel libraries with differing insert sizes to aid deconvolution of alternative splicing events and to characterize the extent and distribution of natural antisense transcription in C. elegans. Despite stringent requirements for detection of alternative splicing, our data increases the number of intron retention and exon skipping events annotated in the Wormbase genome annotations by 127 % and 121 %, respectively. We show that parallel libraries with a range of insert sizes increase transcriptomic information gained by sequencing and that by current established benchmarks our protocol gives competitive results with respect to library quality. Overall design: Sequencing of mRNA from C. elegans with libraries of four differing insert sizes

Publication Title

Multiple insert size paired-end sequencing for deconvolution of complex transcriptomes.

Sample Metadata Fields

Specimen part, Disease, Cell line, Subject

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accession-icon GSE111184
Transcriptional effects of Deoxynivalenol on intestinal porcine epithelial cells (IPEC-J2)
  • organism-icon Sus scrofa
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

in vitro microarray study of transcriptional changes of jejunal cells

Publication Title

Deoxynivalenol Affects Cell Metabolism and Increases Protein Biosynthesis in Intestinal Porcine Epithelial Cells (IPEC-J2): DON Increases Protein Biosynthesis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE111185
Transcriptional effects of Deoxynivalenol on intestinal porcine epithelial cells (IPEC-J2) under low glucose condition
  • organism-icon Sus scrofa
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

in vitro microarray study of transcriptional changes of jejunal cells

Publication Title

Deoxynivalenol Affects Cell Metabolism and Increases Protein Biosynthesis in Intestinal Porcine Epithelial Cells (IPEC-J2): DON Increases Protein Biosynthesis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE33246
Gene Regulation of Intestinal Porcine Epithelial Cells IPECJ2 is Dependent on the Site of Deoxynivalenol Toxicological Action
  • organism-icon Sus scrofa
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

Here we analysed different mechanisms of apical and basolateral deoxynivalenol (DON) toxicity reflected in the gene expression.

Publication Title

Gene regulation of intestinal porcine epithelial cells IPEC-J2 is dependent on the site of deoxynivalenol toxicological action.

Sample Metadata Fields

Treatment

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accession-icon GSE67407
Comparing two intestinal porcine epithelial cell lines (IPECs): global expression patterns to characterise a in vitro model of intestinal physiology
  • organism-icon Sus scrofa
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

The intestinal epithelial cell lines 1 and J2 (IPEC-1, IPEC-J2) - spontaneously immortalised cell lines from the porcine intestine - are important tools for studying intestinal function. Microarrays (GeneChip Porcine Genome Array) were used to compare the expression pattern at basal in vitro conditions. Expression analyses complemented by morphological, functional and biochemical analyses revealed that IPEC-J2 is a morphologically and functionally more differentiated cell line in comparison to IPEC-1. In addition, IPEC-2 cells are a preferential tool for in vitro studies with the focus on metabolism.

Publication Title

Comparing Two Intestinal Porcine Epithelial Cell Lines (IPECs): Morphological Differentiation, Function and Metabolism.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE81071
Gene expression from human discoid (DLE) and subacute (sCLE) cutaneous lupus subtypes
  • organism-icon Homo sapiens
  • sample-icon 56 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

Cutaneous lupus erythematosus (CLE) is a disfiguring disease that can exist as an independent entity or as a manifestation of systemic lupus erythematosus (SLE) where up to 70% of patients experience lesions during their disease course. Subacute CLE (sCLE) is an inflammatory lesion with associated erythema in papulosquamous or annular formations. Typically, sCLE does not scar but depigmentation can occur. Importantly, sCLE is associated with a higher progression to SLE. Discoid lesions (DLE) are often circular and frequently lead to alopecia and scar formation. sCLE lesions have a higher propensity for photoprovocation and a more robust inflammatory infiltrate following ultraviolet (UV) B exposure. The pathogenic mechanisms which govern the differences between DLE and sCLE remain poorly defined, and this is reflected by the refractory nature of cutaneous lesions to usual lupus therapies. In this study, we evaluated the transcriptional profiles of 26 DLE and 23 sCLE biopsies and compared them to control skin and to each other in order to develop a comprehensive understanding of the similarities and differences between these two clinical subtypes.

Publication Title

Enhanced Inflammasome Activity in Systemic Lupus Erythematosus Is Mediated via Type I Interferon-Induced Up-Regulation of Interferon Regulatory Factor 1.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE17849
Effect of Dietary Grain on Rumen Papillae Gene Expression in Holstein Dairy Cows
  • organism-icon Bos taurus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Bovine Genome Array (bovine)

Description

Four mature, non-lactating dairy cattle were transitioned from a high forage diet (HF; 0% grain) to a high grain diet (HG; 65% grain) that was fed for three weeks. Rumen papillae biopsies were performed during the HF baseline (week 0) and after the first (week 1) and third week (week 3) of the grain challenge to create a transcript profile for the the short and long-term adaption of the rumen epithelium during ruminal acidosis.

Publication Title

Bovine rumen epithelium undergoes rapid structural adaptations during grain-induced subacute ruminal acidosis.

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE44285
Atxn1L is a novel regulator of Hematopoietic Stem Cell Quiescence
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We compared gene expression differences in Atxn1L knockout vs wildtype HSCs

Publication Title

Ataxin1L is a regulator of HSC function highlighting the utility of cross-tissue comparisons for gene discovery.

Sample Metadata Fields

Specimen part

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accession-icon GSE61206
MET after transient Twist activation results in de novo gain of malignant traits
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

During Epithelial-Mesenchymal Transition (EMT), apical-basal polarized epithelial cells are converted to front-to-back polarized mesenchymal cells that only form loose cell-cell adhesions. These phenotypic changes are accompanied by acquisition of increased motility and invasiveness. EMT programs are orchestrated by pleiotropic transcription factors (TFs), such as Twist1 and Snail1 and effect morphogenetic steps during embryogenesis, including mesoderm formation and neural crest migration. EMTs have also been implicated in the acquisition of aggressive traits by carcinoma cells, including the ability to complete several steps of the metastatic cascade as well as propagation of the tumor by single cells (clonogenicity), a defining trait of tumor-initiating or cancer stem cells. However, the molecular links between the expression of EMT-TFs, the process of EMT and acquisition of clonogenicity remain obscure.

Publication Title

Stem-cell-like properties and epithelial plasticity arise as stable traits after transient Twist1 activation.

Sample Metadata Fields

Sex, Specimen part, Cell line

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accession-icon SRP155901
KLF4 as a rheostat of osteolysis and osteogenesis in prostate tumors in the bone
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We previously found that KLF4, a gene highly expressed in adult prostate stem cells, blocks the progression of indolent intraepithelial prostatic lesions into aggressive and rapidly growing tumors. To test whether this anti-cancer effect of KLF4 can also prevent prostate cancer-induced damage to the bone, we ablated KLF4 in human PC3 prostate cancer cells using CRISPR/Cas9-mediated genome editing and compared their behavior to null cells transduced with a DOX inducible KLF4 expression system. KLF4 re-expression inhibited growth of PC3 null cells in monolayer and as colonies in soft agar in a dose-dependent manner. When injected into the mouse femurs, PC3 null cells proliferated rapidly, forming very large, invasive and osteolytic tumors. Induction of KLF4 expression in PC3 null cells immediately after their intra-femoral inoculation blocked the development of tumors while preserving the normal bone architecture. KLF4 re-expression in established PC3 bone tumors inhibited osteolytic effects of PC3 null cells, preventing bone fractures and inducing a significant osteogenic response with regions of new bone formation. Transcriptome analyses of PC3 cells with no or high KLF4 expression revealed KLF4-dependent osteolytic or osteogenic transcriptional programs, respectively. Importantly, these KLF4-dependent functions significantly overlapped with metastatic prostate cancers in patients. Overall design: Uninfected PC3 KLF4 wild-type cells and uninfected PC3 KLF4 null cells were grown for 48 hours and collected for RNA extraction. Another cohort of PC3 KLF4 null cells was infected with lentiviruses expressing a DOX inducible KLF4 expression construct (BFP-T2A-hKLF4) or the control empty vector (BFP-T2A). After 48 hours, DOX (10 ng/ml) was added to the culture medium to induce KLF4 expression. Control and KLF4-overexpressing cells were collected for RNA extraction after a 48-hour incubation with DOX. Total RNA was extracted using the RNeasy kit (Qiagen, CA, USA). RNA-Seq libraries were prepared with the TruSeq sample preparation kit (Illumina, CA, USA).

Publication Title

KLF4 as a rheostat of osteolysis and osteogenesis in prostate tumors in the bone.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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