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accession-icon SRP118775
RNA-Sequencing approach for the identification of novel long non-coding RNA biomarkers in colorectal cancer
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Long non-coding RNA (lncRNA) have been implicated in human pathology, however, their roles in colorectal carcinogenesis has not been fully elucidated. In the current study, whole-transcriptome was analyzed in 3 pairs of colorectal cancer (CRC) and matched normal mucosa (NM) by RNA sequencing (RNA-seq). Followed by confirmation using the Cancer Genome Atlas (TCGA) dataset, we identified 27 up-regulated and 22 down-regulated lncRNAs in CRC. Up-regulation of four lncRNAs, hereby named colorectal cancer associated lncRNA (CRCAL)-1 [AC021218.2], CRCAL-2 [LINC00858], CRCAL-3 [RP11-138J23.1] and CRCAL-4 [RP11-435O5.2], was further validated by real-time RT-PCR in 139 colorectal neoplasms and matched NM tissues. Knockdown of CRCAL-3 and CRCAL-4 in colon cancer cells reduced cell viability and colony formation ability, and induced cell cycle arrest. TCGA dataset supported the associations of CRCAL-3 and CRCAL-4 with cell cycle and revealed a co-expression network comprising dysregulated lncRNAs associated with protein-coding genes. In conclusion, RNA-seq identified numbers of novel lncRNAs dysregulated in CRC. In vitro experiments and GO term enrichment analysis indicated the functional relevance of CRCAL-3 and CRCAL-4 in association with cell cycle. Our data highlight the capability of RNA-seq to discover novel lncRNAs involved in human carcinogenesis, which may serve as alternative biomarkers and/or molecular treatment targets. Overall design: 6 total samples consisting of 3 matched pairs of colorectal cancer (CRC) and matched normal mucosa (NM)

Publication Title

A RNA-Sequencing approach for the identification of novel long non-coding RNA biomarkers in colorectal cancer.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE15385
Transwell-cultured and miRNAs-transfected T84 cells
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

MicroRNAs are small non-coding RNA species, some of which are playing important roles in cell differentiation. However, the level of participations of microRNAs in epithelial cell differentiation is largely unknown. Here, we found that expression levels of four microRNAs (miR-210, miR-338-3p, miR-33a and miR-451) were significantly increased in differentiated stage of T84 cells, compared with undifferentiated stage. Additionally, we demonstrate that miR-338-3p and miR-451 contribute to the formation of epithelial basolateral polarity by facilitating translocalization of beta1 integrin to the basolateral membrane. However, candidate target mRNAs of miR-338-3p and miR-451 and the mechanism behind observed phenomena is uncertain. Then, we performed comprehensive gene expression analysis to identify candidate target mRNAs and understand their mechanisms.

Publication Title

MicroRNA-338-3p and microRNA-451 contribute to the formation of basolateral polarity in epithelial cells.

Sample Metadata Fields

Cell line, Treatment, Time

View Samples
accession-icon GSE113965
Expression data from tumor samples treated with a tankyrase inhibitor in a mouse xenograft model
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Tankyrase enhances beta-catenin signaling via PARsylation and subsequent degradation of Axin, a negative regulator of beta-catenin. Tankyrase inhibitors stabilize Axin and suppress beta-catenin signaling. We developed a novel tankyrase inhibitor, RK-287107.

Publication Title

RK-287107, a potent and specific tankyrase inhibitor, blocks colorectal cancer cell growth in a preclinical model.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE100806
Spi-C expression in intestinal or bone marrow macrophages
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Heme ameliorates dextran sodium sulfate-induced colitis through providing intestinal macrophages with noninflammatory profiles.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE100804
Expression of Spi-C in intestinal CX3CR1high macrophages
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

In murine large intestinal lamina propria, CX3CR1high resident Mfs possess anti-inflammatory properties and thereby support intestinal homeostasis. Unlike other tissue-resident Ms, transcription factors that regulate differentiation and function of CX3CR1high Ms in the large intestine are poorly understood. Thus, to identify transcription factors specifically expressed in CX3CR1high Ms among large intestinal lamina propria innate myeloid cells, we comprehensively analyzed the genes expression profiles in CX3CR1high Ms, CX3CR1- CD11b+ CD11c+ cells, CD11b- CD11chigh DCs, and CD11b+CD11c- cells.

Publication Title

Heme ameliorates dextran sodium sulfate-induced colitis through providing intestinal macrophages with noninflammatory profiles.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP111111
Decreased expression of a subset of TLR-dependent genes by heme-inducible Spi-C
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

To determine the functions of Spi-C in innate immune responses, we investigated the overall gene expression patterns in M-CSF-BMDMFs prepared from Spicflox/flox and Lyz2-cre; Spicflox/flox mice. M-CSF-BMDMFs were stimulated with or without LPS following heme treatment and used for RNA-seq analysis. Overall design: Control and Spic–/– BMDMF pretreated with 40 µM hemin for 18 h were stimulated with (designated 'CNT_4' and 'cKO_4', respectively) or without (designated 'CNT_0' and 'cKO_0', respectively) 100 ng/ml LPS for 4 h.

Publication Title

Heme ameliorates dextran sodium sulfate-induced colitis through providing intestinal macrophages with noninflammatory profiles.

Sample Metadata Fields

Specimen part, Treatment, Subject

View Samples
accession-icon GSE83594
Expression data analysis of murine pulmonary cryptococcosis induced by Cryptococcus gattii and Cryptococcus neoformans
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Our previous investigation indicated that high-virulence C. gattii (C. gattii R265) tend to reside in the alveoli, whereas low-virulence C. gattii (C. gattii 5815) tend to be washed out from the alveoli and move into the central side of the respiratory system of the mice. Furthermore, C. gattii R265 and 5815 infected mice showed much lesser macrophage response than C. neoformans H99 infected mice. To elucidate the mechanism of this phenomenon from the viewpoint of genetic analysis, we performed this microarray assay.

Publication Title

A linking bridge between histopathological analysis and molecular assay in microbiology.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment

View Samples
accession-icon GSE630
Auxin-mediated gene expression
  • organism-icon Arabidopsis thaliana
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Global gene expression data from 7-day old light-grown liquid cultured seedlings treated with or without auxin (5M IAA) for 2 h.

Publication Title

AUXIN RESPONSE FACTOR 2 (ARF2): a pleiotropic developmental regulator.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE18830
B1 sox (sox2/3/19a/19b) quadruple knockdown in the zebrafish embryo
  • organism-icon Danio rerio
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Zebrafish Genome Array (zebrafish)

Description

The B1 SOX transcription factors SOX1/2/3/19 have been implicated in various processes of early embryogenesis. However, their regulatory functions in stages from the blastula to early neurula remain largely unknown, primarily because loss-of-function studies have not been informative to date. In our present study, we systematically knocked down the B1 sox genes in zebrafish. Only the quadruple knockdown of the four B1 sox genes sox2/3/19a/19b, which are active in the early embryo, resulted in very severe developmental abnormalities, confirming that the B1 sox genes are functionally redundant. We characterized the sox2/3/19a/19b quadruple knockdown embryos in detail by examining the changes in gene expression through microarray analysis as well as in situ hybridization.

Publication Title

B1 SOX coordinate cell specification with patterning and morphogenesis in the early zebrafish embryo.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE631
Auxin mediated gene expression in WT and arf2-6 mutant
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Global gene expression data from 7-day old light-grown liquid cultured seedlings treated with or without auxin (5M IAA) for 2 h. Columbia (WT) and Auxin response factor 2 (ARF2) T-DNA insertion mutant (arf2-6 ) were used for this study. Each experimental condition has three true replicates for a total of 12 hybridizations.

Publication Title

AUXIN RESPONSE FACTOR 2 (ARF2): a pleiotropic developmental regulator.

Sample Metadata Fields

No sample metadata fields

View Samples
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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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