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Displaying 11 of 11 results for "SPARCL1"
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  1. Expression data from RKO cells transfected with SPARCL1 and vector control BioProject

    ID: PRJNA145809

    Keywords: Transcriptome or Gene expression

    Access Type: download

  2. The effect of SPARCL1 overexpression on osteosarcoma MNNG-HOS cell line BioProject

    ID: PRJNA382349

    Keywords: Transcriptome or Gene expression

    Access Type: download

  3. Expression data from RKO cells transfected with SPARCL1 and vector control ArrayExpress

    ID: E-GEOD-31440

    Description: er cell line RKO grown on Matrigel form a luminal-like structure after the transfection of SPARCL1 gene, which may imply the differentiation of the cells. To indentify gene...

  4. Expression data from RKO cells transfected with SPARCL1 and vector control OmicsDI

    ID: E-GEOD-31440

    Date Released: 10-12-2011

    Description: er cell line RKO grown on Matrigel form a luminal-like structure after the transfection of SPARCL1 gene, which may imply the differentiation of the cells. To indentify gene...

  5. Transcriptome analysis of Stem Cells from Human Umbilical Cord Blood ArrayExpress

    ID: E-GEOD-4609

    Description: cancer, such as the recently described DOCK4 and SPARCL1 tumor suppressor genes. Quantitative real-time PCR analysis confirmed down-regulation of DOCK4 and SPARCL1 in E2-treated CD133+/CD34+ cells and parallel results were verified when comparing their expression in mononuclear blood cells of chronic myeloid leukemia patients and healthy individuals. The striking differential expression of cancer-associated genes found reveals potential molecular targets for oncogenic transformation of CD133+/CD34+ cells and strengthens the importance of pre-clinical studies assessing safety of stem cell expansion protocols for therapeutic application. Keywords: dose response Gene expression intensities were measured using CodeLink Human Whole Genome Bioarrays....

  6. Transcriptome analysis of Stem Cells from Human Umbilical Cord Blood OmicsDI

    ID: E-GEOD-4609

    Date Released: 05-02-2014

    Description: cancer, such as the recently described DOCK4 and SPARCL1 tumor suppressor genes. Quantitative real-time PCR analysis confirmed down-regulation of DOCK4 and SPARCL1 in E2-treated CD133+/CD34+ cells and parallel results were verified when comparing their expression in mononuclear blood cells of chronic myeloid leukemia patients and healthy individuals. The striking differential expression of cancer-associated genes found reveals potential molecular targets for oncogenic transformation of CD133+/CD34+ cells and strengthens the importance of pre-clinical studies assessing safety of stem cell expansion protocols for therapeutic application. Keywords: dose response Gene expression intensities were measured using CodeLink Human Whole Genome Bioarrays....

  7. Transcriptome analysis of Stem Cells from Human Umbilical Cord Blood BioProject

    ID: PRJNA94399

    Keywords: Transcriptome or Gene expression

    Access Type: download

    dataset.description: cancer, such as the recently described DOCK4 and SPARCL1 tumor suppressor genes. Quantitative real-time PCR analysis confirmed down-regulation of DOCK4 and SPARCL1 in E2-treated CD133+/CD34+ cells and parallel results were verified when comparing their expression in mononuclear blood cells of chronic myeloid leukemia patients and healthy individuals. The striking differential expression of cancer-associated genes found reveals potential molecular targets for oncogenic transformation of CD133+/CD34+ cells and strengthens the importance of pre-clinical studies assessing safety of stem cell expansion protocols for therapeutic application. Keywords: dose response Overall design: Gene expression intensities were measured using CodeLink Human Whole Genome Bioarrays....
  8. The gene expression profile of non-cultured, highly purified human adipose tissue pericytes: transcriptomic evidence that pericytes are stem cells in ... BioProject

    ID: PRJNA291459

    Keywords: Transcriptome or Gene expression

    Access Type: download

    dataset.description: -expanded, and are postulated to give rise to MSC-like cells during tissue repair in vivo. PCs have been suggested to behave as stem cells (SCs) in situ in animal models, although evidence for this role in humans is lacking. Here, we analyzed the transcriptomes of highly purified, non-cultured adip...
  9. Bladder cancer microarrays ArrayExpress

    ID: E-GEOD-27448

    Description: expression of the identified DE genes. Chromosome 1 contained 32 DE genes, followed by chromosomes 2 and 11, which contained 25 and 23 DE genes, respectively. Chromosome 21 had the least number of DE genes. GO analysis revealed the prevalence of transport and binding genes in the common down-regulated DE genes; the prevalence of RNA metabolism and processing genes in the up-regulated DE genes; as well as the prevalence of genes responsible for cell communication and signal transduction in the DE genes that were down-regulated in T1-Grade III tumors and up-regulated in T2/T3-Grade III tumors. Combination of all available samples revealed 17 common genes (BMP4, CRYGD, DBH, GJB1, KRT83, MPZ, NHLH1, TACR3, ACTC1, MFAP4, SPARCL1, TAGLN, TPM2, CDC20, LHCGR, TM9SF1 and HCCS) four of which participate in numerous pathways. Conclusions/Significance: The identification of the common DE genes among BC samples of different histology can provide further insight into the discovery of new putative markers. Oligos microarray chips (~57k genes) were obtained from GE HealthCare (IL) and AppliedMicroarrays (MA) (former Amersham Biosciences) (CodeLink 57k Human Whole Genome). Hybridization was performed with the CodeLink RNA amplification and Labeling kit as described by the manufacturer, utilizing the Cy5 fluorescent dye. Slides were scanned with a microarray scanner (ScanArray 4000XL). Images were generated with ScanArray microarray acquisition software (GSI Lumonics, USA). cRNAs from three experimental setups were used in single experiments with internal spikes as controls. The experimental setups consisted of 10 urinary BC samples of different histology and 5 control samples. The ...

  10. Bladder cancer microarrays BioProject

    ID: PRJNA137077

    Keywords: Transcriptome or Gene expression

    Access Type: download

    dataset.description: expression of the identified DE genes. Chromosome 1 contained 32 DE genes, followed by chromosomes 2 and 11, which contained 25 and 23 DE genes, respectively. Chromosome 21 had the least number of DE genes. GO analysis revealed the prevalence of transport and binding genes in the common down-regulated DE genes; the prevalence of RNA metabolism and processing genes in the up-regulated DE genes; as well as the prevalence of genes responsible for cell communication and signal transduction in the DE genes that were down-regulated in T1-Grade III tumors and up-regulated in T2/T3-Grade III tumors. Combination of all available samples revealed 17 common genes (BMP4, CRYGD, DBH, GJB1, KRT83, MPZ, NHLH1, TACR3, ACTC1, MFAP4, SPARCL1, TAGLN, TPM2, CDC20, LHCGR, TM9SF1 and HCCS) four of which participate in numerous pathways. Conclusions/Significance: The identification of the common DE genes among BC samples of different histology can provide further insight into the discovery of new putative markers. Overall design: Oligos microarray chips (~57k genes) were obtained from GE HealthCare (IL) and AppliedMicroarrays (MA) (former Amersham Biosciences) (CodeLink 57k Human Whole Genome). Hybridization was performed with the CodeLink RNA amplification and Labeling kit as described by the manufacturer, utilizing the Cy5 fluorescent dye. Slides were scanned with a microarray scanner (ScanArray 4000XL). Images were generated with ScanArray microarray acquisition software (GSI Lumonics, USA). cRNAs from three experimental setups were used in single experiments with internal spikes as controls. The experimental setups consisted of 10 urinary BC samples of different histology and 5 contr...
  11. Bladder cancer microarrays OmicsDI

    ID: E-GEOD-27448

    Date Released: 05-03-2014

    Description: expression of the identified DE genes. Chromosome 1 contained 32 DE genes, followed by chromosomes 2 and 11, which contained 25 and 23 DE genes, respectively. Chromosome 21 had the least number of DE genes. GO analysis revealed the prevalence of transport and binding genes in the common down-regulated DE genes; the prevalence of RNA metabolism and processing genes in the up-regulated DE genes; as well as the prevalence of genes responsible for cell communication and signal transduction in the DE genes that were down-regulated in T1-Grade III tumors and up-regulated in T2/T3-Grade III tumors. Combination of all available samples revealed 17 common genes (BMP4, CRYGD, DBH, GJB1, KRT83, MPZ, NHLH1, TACR3, ACTC1, MFAP4, SPARCL1, TAGLN, TPM2, CDC20, LHCGR, TM9SF1 and HCCS) four of which participate in numerous pathways. Conclusions/Significance: The identification of the common DE genes among BC samples of different histology can provide further insight into the discovery of new putative markers. Oligos microarray chips (~57k genes) were obtained from GE HealthCare (IL) and AppliedMicroarrays (MA) (former Amersham Biosciences) (CodeLink 57k Human Whole Genome). Hybridization was performed with the CodeLink RNA amplification and Labeling kit as described by the manufacturer, utilizing the Cy5 fluorescent dye. Slides were scanned with a microarray scanner (ScanArray 4000XL). Images were generated with ScanArray microarray acquisition software (GSI Lumonics, USA). cRNAs from three experimental setups were used in single experiments with internal spikes as controls. The experimental setups consisted of 10 urinary BC samples of different histology and 5 control samples. The ...


Displaying 11 of 11 results for "SPARCL1"