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accession-icon SRP006474
A quantitative analysis of CLIP methods for identifying binding sites of RNA-binding proteins (CLIP)
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

Crosslinking and immunoprecipitation (CLIP) is increasingly used to map transcriptome-wide binding sites of RNA-binding proteins (RBPs). We developed a method for CLIP data analysis and applied it to compare 254 nm CLIP with PAR-CLIP, which involves crosslinking of photoreactive nucleotides with 365 nm UV light. We found small differences in the accuracy of these methods in identifying binding sites of HuR, a protein that binds low-complexity sequences and Argonaute 2, which has a complex binding specificity. We show that crosslink-induced mutations lead to single-nucleotide resolution for both PAR-CLIP and CLIP. Our results confirm the expectation from original CLIP publications that RNA-binding proteins do not protect sufficiently their sites under the denaturing conditions used during the CLIP procedure, and we show that extensive digestion with sequence-specific ribonucleases strongly biases the set of recovered binding sites. We finally show that this bias can be substantially reduced by milder nuclease digestion conditions. Overall design: We performed duplicate experiments for each variant of the CLIP protocol (CLIP, PAR-CLIP), each protein (HuR, Ago2), and enzymatic digestion (complete T1 digestion, mild MNase digestion). In addition, we performed a single PAR-CLIP experiment with mild T1 digestion.

Publication Title

A quantitative analysis of CLIP methods for identifying binding sites of RNA-binding proteins.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE94340
Expression data from skin biopsies in patients with systemic sclerosis treated with beta-catenin inhibitor (C82) and placebo
  • organism-icon Homo sapiens
  • sample-icon 66 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Wnt signaling pathway is thought to have a role in skin fibrosis in Systemic slcerosis. This Randomized, Placebo-Controlled trial examines the effect of beta catenin inhibition on skin expression.

Publication Title

Inhibition of β-Catenin Signaling in the Skin Rescues Cutaneous Adipogenesis in Systemic Sclerosis: A Randomized, Double-Blind, Placebo-Controlled Trial of C-82.

Sample Metadata Fields

Treatment, Time

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accession-icon SRP049237
MiR-CLIP capture of a miRNA targetome uncovers a lincRNA H19-miR-106a interaction [III]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Identifying the interaction partners of non-coding RNAs is essential for elucidating their functions. We have developed an approach, termed microRNA-cross-linking and immunoprecipitation (miR-CLIP), using pre-miRNAs modified with psoralen and biotin to capture their targets in cells. Photo-cross-linking and Argonaute 2-immunopurification followed by streptavidin affinity-purification of probe-linked RNAs provided selectivity in the capture of targets, identified by deep-sequencing. MiR-CLIP with pre-miR-106a, a miR-17-5p family member, identified hundreds of putative targets in HeLa cells, many carrying conserved sequences complementary to the miRNA seed but also many that were not predicted computationally. MiR-106a overexpression experiments confirmed that miR-CLIP captured functional targets, including H19, a long-non-coding RNA that is expressed during skeletal muscle cell differentiation. We showed that miR-17-5p family members bind H19 in HeLa cells and myoblasts. During myoblast differentiation levels of H19, miR-17-5p family members and mRNA targets changed in a manner suggesting that H19 acts as a sponge for these miRNAs. Overall design: Two replicates of three cDNA libraries were submitted to deep sequencing: a sample from RNA-7-transfected cells; a sample from pre-miR-106a transfected cells; and a control sample.

Publication Title

miR-CLIP capture of a miRNA targetome uncovers a lincRNA H19-miR-106a interaction.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP049238
MiR-CLIP capture of a miRNA targetome uncovers a lincRNA H19-miR-106a interaction [IV]
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Identifying the interaction partners of non-coding RNAs is essential for elucidating their functions. We have developed an approach, termed microRNA-cross-linking and immunoprecipitation (miR-CLIP), using pre-miRNAs modified with psoralen and biotin to capture their targets in cells. Photo-cross-linking and Argonaute 2-immunopurification followed by streptavidin affinity-purification of probe-linked RNAs provided selectivity in the capture of targets, identified by deep-sequencing. MiR-CLIP with pre-miR-106a, a miR-17-5p family member, identified hundreds of putative targets in HeLa cells, many carrying conserved sequences complementary to the miRNA seed but also many that were not predicted computationally. MiR-106a overexpression experiments confirmed that miR-CLIP captured functional targets, including H19, a long-non-coding RNA that is expressed during skeletal muscle cell differentiation. We showed that miR-17-5p family members bind H19 in HeLa cells and myoblasts. During myoblast differentiation levels of H19, miR-17-5p family members and mRNA targets changed in a manner suggesting that H19 acts as a sponge for these miRNAs. Overall design: Two replicates of two cDNA libraries were submitted to deep sequencing: a sample from siH19-transfected cells and a control sample.

Publication Title

miR-CLIP capture of a miRNA targetome uncovers a lincRNA H19-miR-106a interaction.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE41882
Expression profiles in response to HMGA overexpression in late-stage neural precursor cells
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Neural precursor cells (NPCs) in the mammalian neocortex generate various neuronal and glial cell types in a developmental stage-dependent manner. Most neocortical NPCs lose their neurogenic potential after birth. We have previously shown that high mobility group A (HMGA) proteins confer the neurogenic potential on early-stage NPCs during the midgestation period, although the underlying mechanisms are not fully understood. Here we performed microarray analysis and compared expression profiles between control and HMGA2-overexpressed NPCs.

Publication Title

IMP2 regulates differentiation potentials of mouse neocortical neural precursor cells.

Sample Metadata Fields

Specimen part

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accession-icon SRP095238
Transcriptome and Functional Analyses Reveal Roles For Regulators of Epigenetic States, Micro RNA Processing, And Long Non-Coding RNA In Myocyte Dedifferentiation: Insights Into Reprogramming A “Post-Mitotic” Cell
  • organism-icon Danio rerio
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Purpose: The ability of adult zebrafish tissues to undergo dedifferentiation provides an opportunity to probe the molecular underpinnings of cell identity and reprogramming. Zebafish muscle regeneration utilizes dedifferentiation to reprogram mature multinucleated myocytes into dedifferentiated myoblast that re-enter the cell cycle. A unique advantage of this system is that the regenerating cell mass is large and fairly homogenous, facilitating genomics approaches to uncovering the underlying biology. Methods: To better understand cellular reprogramming of mature myocytes, we temporally analyzed the changing transcriptome leading up to the proliferative switch. RNA was obtained after Laser Micro-dissection (LMD) of Control, 9 hour post-injury (HPI) or 18 HPI using Trizol and micro column purification. Illumina''s TruSeq Stranded mRNA Library Prep Kit and 0.1 - 4 µg total mRNA from pooled purified RNA samples were used for performing ribosomal-depletion (Ribo-Zero Gold rRNA Removal Kit, Illumina) and library preparation. Sequencing was performed by the UM DNA Sequencing Core, using an Illumina Hi-Seq 2000 (50-cycle, single end read) platform. Results: Clustering and functional annotation of differentially expressed genes highlighted the importance of catabolic and phagocytic processes upregulation at 9 and 18 hours post injury (hpi). Furthermore, genes encoding principle regulators of chromatin states were actively re-regulated during the reprogramming process. Utilizing the accessibility of these tissues in the zebrafish model, kKnockdown experiments enabled in vivo validation and phenotypic analysis of candidate genes and pathways for their roles in genomic and cellular reprogramming. Additionally, we found that despite of their low expression levels, lncRNAs were highly represented in gene clusters with dynamic, “switch-like” expression profiles, and that miRNA processing was also found important for reprogramming Conclusions: We conclude that reprogramming of a “post-mitotic” myocyte into a dedifferentiated myoblast requires both heritable yet nuanced epigenetic alterations and molecular switches that involve transcription factors, miRNA and lncRNA, while maintaining the lineage restriction of the cell of origin. Overall design: Early time points post injury (9 & 18 hours) mRNA and lncRNA profiles of Zebrafish lateral eye muscle (EOM) were generated by deep sequencing, in quadruplicate, using Illumina Hi-seq.

Publication Title

Temporally distinct transcriptional regulation of myocyte dedifferentiation and Myofiber growth during muscle regeneration.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE50225
Wild-type and Mecp2 -/y callosal projection neurons
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Mutations of the transcriptional regulator Mecp2 cause the X-linked autism spectrum disorder Rett syndrome (RTT), and Mecp2 has been implicated in several other neurodevelopmental disorders. To identify potential target genes regulated directly or indirectly by MeCP2, we performed comparative gene expression analysis via oligonucleotide microarrays on Mecp2-/y (Mecp2-null) and wild-type CPN purified via fluorescence-activated cell sorting (FACS).

Publication Title

Reduction of aberrant NF-κB signalling ameliorates Rett syndrome phenotypes in Mecp2-null mice.

Sample Metadata Fields

Specimen part

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accession-icon GSE56635
Gene expression analysis of directly converted brown adipocytes (dBAs).
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Reprogrammed Functional Brown Adipocytes Ameliorate Insulin Resistance and Dyslipidemia in Diet-Induced Obesity and Type 2 Diabetes.

Sample Metadata Fields

Specimen part

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accession-icon GSE56633
Gene expression analysis of directly converted brown adipocytes (dBAs). [human]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Comparasion of each cell mRNA expression pattern

Publication Title

Reprogrammed Functional Brown Adipocytes Ameliorate Insulin Resistance and Dyslipidemia in Diet-Induced Obesity and Type 2 Diabetes.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE56634
Gene expression analysis of directly converted brown adipocytes (dBAs). [mouse]
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Comparasion of each cell mRNA expression pattern

Publication Title

Reprogrammed Functional Brown Adipocytes Ameliorate Insulin Resistance and Dyslipidemia in Diet-Induced Obesity and Type 2 Diabetes.

Sample Metadata Fields

Specimen part

View Samples
...

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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

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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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