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Displaying 20 of 24 results for "PRRX1"
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  1. d for with non-targeting siRNA or siRNA targeting PRRX1 or both PRRX1 and PPARG... ArrayExpress

    ID: E-MTAB-1906

    Description: r 72h with non-targeting siRNA or siRNA targeting PRRX1 (n=10) or both PRRX1 and PPARG (subset of the subjects, n=4)....

  2. d for with non-targeting siRNA or siRNA targeting PRRX1 or both PRRX1 and PPARG... OmicsDI

    ID: E-MTAB-1906

    Date Released: 06-03-2014

    Description: r 72h with non-targeting siRNA or siRNA targeting PRRX1 (n=10) or both PRRX1 and PPARG (subset of the subjects, n=4)....

  3. Gene expression in primary chondrocytes derived from Rela-cKO/control mice with/without TNF-α treatment BioProject

    ID: PRJNA315213

    Keywords: Transcriptome or Gene expression

    Access Type: download

    dataset.description: ct of Rela, we isolated primary chondrocytes from Prrx1-Cre;Relafl/fl and Relafl/fl mice, cultured them with or without 10 ng/mL TNF-α, and compared gene expression profiles by microarray analyses. Overall design: Primary chondrocytes fro...
  4. Fibroblast Major TF KDs BioProject

    ID: PRJNA189487

    Keywords: Transcriptome or Gene expression

    Access Type: download

    dataset.description: fibroblast specific TF, FOXD1, HOXC4, LHX9, OSR1, PRRX1, TBX3, TWIST2 and NC(negative control siRNA) in fibroblast Overall design: 24 Samples total....
  5. KD of Fibroblast specific TF BioProject

    ID: PRJNA189486

    Keywords: Transcriptome or Gene expression

    Access Type: download

    dataset.description: Combinatorial knock down of LHX9, OSR1, PRRX1, TWIST2, fibroblast specific transcription factors and adipogenic induction by medium change induce transdifferentiation from...
  6. KD of Fibroblast specific TF ArrayExpress

    ID: E-GEOD-44303

    Description: Combinatorial knock down of LHX9, OSR1, PRRX1, TWIST2, fibroblast specific transcription factors and adipogenic induction by medium change induce transdifferentiation from...

  7. Fibroblast Major TF KDs ArrayExpress

    ID: E-GEOD-44305

    Description: fibroblast specific TF, FOXD1, HOXC4, LHX9, OSR1, PRRX1, TBX3, TWIST2 and NC(negative control siRNA) in fibroblast 24 Samples total....

  8. Danio rerio : Danio rerio Raw sequence reads BioProject

    ID: PRJNA294977

    Keywords: raw sequence reads

    Access Type: download

    dataset.description: through antagonism of Jagged-Notch signaling and Prrx1 transcription factors. A genomic analysis of facial skeletal precursors in mutants and overexpression embryos reveals that Jagged-Notch signaling represses genes that are strongly induced as pharyngeal arch neural crest-derived cells begin skeletal differentiation....
  9. Accelerated cartilage differentiation distinguishes the lower from the upper vertebrate face OmicsDI

    ID: E-GEOD-72985

    Date Released: 03-26-2016

    Description: through antagonism of Jagged-Notch signaling and Prrx1 transcription factors. A genomic analysis of facial skeletal precursors in mutants and overexpression embryos reveals that Jagged-Notch signaling represses genes that are strongly induced as pharyngeal arch neural crest-derived cells begin skeletal differentiation. In wild types, initial Jagged-Notch repression dorsally ensures that barx1+ condensations and cartilage differentiation occur first in ventral-intermediate zones of the pharyngeal arches. Red...

  10. Accelerated cartilage differentiation distinguishes the lower from the upper vertebrate face ArrayExpress

    ID: E-GEOD-72985

    Description: through antagonism of Jagged-Notch signaling and Prrx1 transcription factors. A genomic analysis of facial skeletal precursors in mutants and overexpression embryos reveals that Jagged-Notch signaling represses genes that are strongly induced as pharyngeal arch neural crest-derived cells begin skeletal differentiation. In wild types, initial Jagged-Notch repression dorsally ensures that barx1+ condensations and cartilage differentiation occur first in ventral-intermediate zones of the pharyngeal arches. Red...

  11. Accelerated cartilage differentiation distinguishes the lower from the upper vertebrate face BioProject

    ID: PRJNA295533

    Keywords: Transcriptome or Gene expression

    Access Type: download

    dataset.description: through antagonism of Jagged-Notch signaling and Prrx1 transcription factors. A genomic analysis of facial skeletal precursors in mutants and overexpression embryos reveals that Jagged-Notch signaling represses genes that are strongly induced as pharyngeal arch neural crest-derived cells begin skeletal differentiation. In wild types, initial Jagged-Notch repression dorsally ensures that barx1+ condensations and cartilage differentiation occur first in ventral-intermediate zones of the pharyngeal arches. Red...
  12. KD of Fibroblast specific TF OmicsDI

    ID: E-GEOD-44303

    Date Released: 06-02-2014

    Description: Combinatorial knock down of LHX9, OSR1, PRRX1, TWIST2, fibroblast specific transcription factors and adipogenic induction by medium change induce transdifferentiation from...

  13. Fibroblast Major TF KDs OmicsDI

    ID: E-GEOD-44305

    Date Released: 06-02-2014

    Description: fibroblast specific TF, FOXD1, HOXC4, LHX9, OSR1, PRRX1, TBX3, TWIST2 and NC(negative control siRNA) in fibroblast 24 Samples total....

  14. Gene expression classifier in papillary thyroid carcinoma: validation and application of a classifier for prognostication ArrayExpress

    ID: E-GEOD-65074

    Description: , FBLN2, FOSL2, GGT5, GPR124, JAM3, LRIG1, NDRG1, PRRX1, ROBO1, SORL1, TCF4, and ZEB1) was identified based on the expression values of these genes in the groups with and without metastasis in the development cohort. The 17 gene classifier for regional and/or distant metastasis identified was tested against the clinical status in the validation cohort. Sensitivity was 51.6% (95% CI 41.2%-61.8) and specificity 61.6 % (95% CI 50.5%-71.9%). Further, the Kaplan-Meyer method was used to estimate whether the classifier was useful as a prognostic marker for recurrences. Log-rank testing failed to identify any significance (p=0.32). Conclusion: A 17 gene classifier for metastatic potential was developed, and the results showed a clear biological difference between groups. However, through validation, the prognostic significance of this classifier could not be shown in identifying metastatic cases or in the ability of dichotomizing patients according to risk of recurrence after primary treatment. 38 patients with papillary thyroid carcinoma from a consecutive cohort of patients, no replicates...

  15. Proteomic characterization of the role of Snail1 in the differentiation of 3T3-L1 fibroblasts OmicsDI

    ID: PXD001529

    Date Released: 01-06-2015

    Description: entiation of the 3T3-L1 and MSCs as Nr2F6, ASC-1, Prrx1 or Cbx6. These candidates are down regulated due to the overexpression of Snail1 in 3T3-L1 cells. We next investigated the potential binding of Snail1 to promoter of these candidates. In silico analysis with MatInspector program revealed various putative E-box consensus motifs for Snail1. We performed ChIP and Luciferase assay to validate Snail1 binds to different E-box motifs of our candidates. Additionally, we analyzed the ability to prevent the differentiation to adipocytes of the 3T3-L1 cells using siRNAs. This work provided insight into novel proteins with potential roles in the regulation of differentiation to adipocytes of the 3T3-L1 and mMSC cells as Nr2F6, ASC-1, Prrx1 or Cbx6 controlled by Snail1....

  16. Gene expression classifier in papillary thyroid carcinoma: validation and application of a classifier for prognostication BioProject

    ID: PRJNA272877

    Keywords: Transcriptome or Gene expression

    Access Type: download

    dataset.description: , FBLN2, FOSL2, GGT5, GPR124, JAM3, LRIG1, NDRG1, PRRX1, ROBO1, SORL1, TCF4, and ZEB1) was identified based on the expression values of these genes in the groups with and without metastasis in the development cohort. The 17 gene classifier for regional and/or distant metastasis identified was tested against the clinical status in the validation cohort. Sensitivity was 51.6% (95% CI 41.2%-61.8) and specificity 61.6 % (95% CI 50.5%-71.9%). Further, the Kaplan-Meyer method was used to estimate whether the classifier was useful as a prognostic marker for recurrences. Log-rank testing failed to identify any significance (p=0.32). Conclusion: A 17 gene classifier for metastatic potential was developed, and the results showed a clear biological difference between groups. However, through validation, the prognostic significance of this classifier could not be shown in identifying metastatic cases or in the ability of dichotomizing patients according to risk of recurrence after primary treatment. Overall design: 38 patients with papillary thyroid carcinoma from a consecutive cohort of patients, no replicates...
  17. Epigenetic Control of Skeletal Development by the Histone Methyltransferase Ezh2 BioProject

    ID: PRJNA296055

    Keywords: Transcriptome or Gene expression

    Access Type: download

    dataset.description: cking functional Ezh2 in the mesenchymal lineage (Prrx1-Cre, 3 day old female mice)....
  18. Gene expression classifier in papillary thyroid carcinoma: validation and application of a classifier for prognostication OmicsDI

    ID: E-GEOD-65074

    Date Released: 01-27-2015

    Description: , FBLN2, FOSL2, GGT5, GPR124, JAM3, LRIG1, NDRG1, PRRX1, ROBO1, SORL1, TCF4, and ZEB1) was identified based on the expression values of these genes in the groups with and without metastasis in the development cohort. The 17 gene classifier for regional and/or distant metastasis identified was tested against the clinical status in the validation cohort. Sensitivity was 51.6% (95% CI 41.2%-61.8) and specificity 61.6 % (95% CI 50.5%-71.9%). Further, the Kaplan-Meyer method was used to estimate whether the classifier was useful as a prognostic marker for recurrences. Log-rank testing failed to identify any significance (p=0.32). Conclusion: A 17 gene classifier for metastatic potential was developed, and the results showed a clear biological difference between groups. However, through validation, the prognostic significance of this classifier could not be shown in identifying metastatic cases or in the ability of dichotomizing patients according to risk of recurrence after primary treatment. 38 patients with papillary thyroid carcinoma from a consecutive cohort of patients, no replicates...

  19. Dynamics of gene expression changes in epithelial and mesenchymal HMLER cell lines transitioning from suspension 3D culture to adhesion cultures ArrayExpress

    ID: E-GEOD-70279

    Description: of the Epithelial-Mesenchymal Transition Inducer Prrx1. Cancer Cell 22, 709–724. Schmidt, J.M., Panzilius, E., Bartsch, H.S., Irmler, M., Beckers, J., Kari, V., Linnemann, J.R., Dragoi, D., Hirschi, B., Kloos, U.J., et al. (2015). Stem-Cell-like Properties and Epithelial Plasticity Arise as Stable Traits after Transient Twist1 Activation. Cell Rep. 10, 131–139. Tan, T.Z., Miow, Q.H., Miki, Y., Noda, T., Mori, S., Huang, R.Y.-J., and Thiery, J.P. (2014). Epithelial-mesenchymal transition spectrum quantification and its efficacy in deciphering survival and drug responses of cancer patients. EMBO Mol. Med. 6, 1279–1293. Tran, H.D., Luitel, K., Kim, M., Zhang, K., Longmore, G.D., and Tran, D.D. (2014). Transient SNAIL1 Expression Is Necessary for Metastatic Competence in Breast Cancer. Cancer Res. 74, 6330–6340. Tsai, J.H., Donaher, J.L., Murphy, D.A., Chau, S., and Yang, J. (2012). Spatiotemporal Regulation of Epithelial-Mesenchymal Transition Is Essential for Squamous Cell Carcinoma Metastasis. Cancer Cell 22, 725–736. Tsuji, T., Ibaragi, S., Shima, K., Hu, M.G., Katsurano, M., Sasaki, A., and Hu, G. -f. (2008). Epithelial-Mesenchymal Transition Induced by Growth Suppressor p12CDK2-AP1 Promotes Tumor Cell Local Invasion but Suppresses Distant Colony Growth. Cancer Res. 68, 10377–10386. Zhang, J., Tian, X.-J., Zhang, H., Teng, Y., Li, R., Bai, F., Elankumaran, S., and Xing, J. (2014). TGF- -induced epithelial-to-mesenchymal transition proceeds through stepwise activation of multiple feedback loops. Sci. Signal. 7, ra91–ra91. For these analyses we used the heterogeneous parental HMLER (HP) cell line, with isogenic epithelial (E) and mesenchymal (M) cell-types (Elenbaas et al., 2001), and stable clonal HMLER-derived E and M cell lines, which are normally passaged under adhesion conditions (_adh, GSE66527). We cultured cell lines under 3D suspension conditions resembling mammosphere growth conditions that are typically used to enrich for stem-like cells (Dontu et al., 2003), and examined gene expression of cells under mammosphere conditions (_sus, GSE66527), or after replating (_re) in a kinetic examining gene expression from 6, 24, 96, and 240 hrs after cells were allowed to readhere to normal dishes for the heterogeneous but mostly epithelial (HP) cell lines and mesenchymal (M4) cell lines. To validate our findings we also examined gene expression of cells replated after mammosphere culture for about two weeks from three different E (E3, E4, E5) and M clones (M3, M4, M1). All gene expression samples were taken from biological replicates (at least duplicates) of cells grown in different wells or even at different times. Gene expression of replated (_re) cells was compared to the respective cell lines grown under adhesion conditions (_adh), as well as to the respective cell line grown under suspension mammosphere condition (_sus) which have been deposited previously under accession number GSE66527. HP replicates (re): HP_re_AGW120913, HP_re_RK12026, HP_re_AGW1209_5, HP_re_AGW1209_6, HP_re_AGW1209_7, HP_re_AGW1209_8, HP_re_AGW1209_9, HP_re_0607_1, HP_re_0607_2 E3 replicates (re): E3_re_RK1202, E3_re_RK12028; E4 replicates: E4_re_0622, E4_re_0613; E5 replicates: E5_re_0613_1, E5_re_0613_2 M1 replicates (re): M1_re_0607_1, M1_re_0607_2, M2 replicates: M2_re_RK1202, M2_re_RK12029, M2_re_AGW1209_3, M2_re_AGW1209_4, M2_re_AGW1209_5, M3 replicates: M4_re_0607_1, M4_re_0607_2 HP replicates (adh): HP_adh_0629, HP_adh_2210, HP_adh_0607sc, HP_adh_0607c E3 replicates (adh): E3_adh_0629, E3_adh, E3_adh_0826. E4 replicates (adh): E4_adh_0607, E4_adh_0210, E5 replicates (adh): E5_adh_0210, E5_adh_0607 M1 replicates (adh): M1_adh_0210, M1_adh_0607, M4 replicates (adh): M4_adh_0607, M4_adh_0210, M3 replicates (adh): M3_adh, M3_adh_2210, M3_adh_2810 HP replating kinetic (adh): HP_adh_0607c (GSE66527), HP_adh_0607sc (GSE66527), HP (mammospheres, suspension): HP_sus_0603_2 (GSE66527), HP_sus_0603_1 (GSE66527), HP (replated 6 hrs): HP_re_6_0603_1, HP_re_6_0603_2, HP (replated 24hrs): HP_re_24_0607_1, HP_re_24_0607_2, HP (replated 96 hrs): HP_re_96_0607_1, HP_re_96_0607_2, HP (replated 240hrs): HP_re_0607_1, HP_re_0607_2, M4 replating kinetic (adh): M4_adh_0210 (GSE66527), M4_adh_0607 (GSE66527), M4 (mammospheres, suspension): M4_sus_0603_2 (GSE66527), M4_sus_0603_1 (GSE66527), M4 (replated 24 hrs): M4_re_24_0603_1, M4_re_24_0603_2, M4 (replated 96 hrs), M4_re_96_0607_1, M4_re_96_0607_2, M4 replated 240hrs): M4_re_0607_1, M4_re_0607_2...

  20. Comparison of gene expression between mandibular and iliac bone-derived cells ArrayExpress

    ID: E-GEOD-58474

    Description: pment and morphogenesis (SIX1, MSX1, MSX2, HAND2, PRRX1, OSR2, HOX gene family, PITX2). Microarray analysis revealed that Msx1 was 2.03 fold and Msx2 was 1.99 fold up-regulated in mandible compared to iliac BC (both p<0.01). HOX gene group in mandibular BC was down-regulated (p<0.01). Osteopontin was also 2.84 fold down-regulated in mandible BC (p<0.01). We found that the results of the microarray were reproducible with qRT-PCR. Conclusions: Site-specific difference between jaw and long bone can be explained by the different gene expression pattern, which is primarily related with embryological origin of these two different bones. Human mandible and iliac bone chip was were collected from 6 donors (average 60.2 years, ranged from 56 to 69 years; 3 males, 3 females). Primary cells from this bone chips were utilized to analysis. Therefore 6 sets of iliac and mandibular bone-derived cells were obtained. <> The experimental protocol using human tissue was approved by the Institutional Review Board of Kyungpook National University Hospital (KNUH_10-1093). Informed consent was obtained from each donors who were undergoing iliac bone graft to mandibular alveolar bone defect. To collect osteoblast-like primary cells migrated from bone chips cortical or cortico-cancellous bone was harvested with the similar method described previously. Human mandible and iliac bone chip was were collected from 6 donors (average 60.2 years, ranged from 56 to 69 years; 3 males, 3 females), of healthy general condition without clinical inflammatory lesion in oral cavity. After complete reflection of periosteal layer, the mandibular bone and iliac crest was visualized. Mandibular cortical or cortico-cancellous bone chip was collected by a ronguer during the host bone trimming and decortication procedure for iliac bone graft to edentulous mandible. Similarly, small amount of iliac cortico-cancellous bone chip was collected seperately during the iliac bone harvesting procedure from the same patient. The harvested bone were broke into small pieces and the size of the bone particle became to be 2~4mm in length. The collected bone samples from the two sites were treated with the same method. The bone sample were gently rinsed with Dulbecco's modified Eagle's Medium (DMEM, Lonza Group Ltd., Basel, Switzerland) containing heparin to exclude fat and blood. The particulated bone were then transferred into culture flasks and cultured with DMEM supplemented with 20% fetal bovine serum (FBS, GIBCO-Invetrogen, Carlsbad, CA), 100 U/ml penicillin, 100 mg/ml streptomycin sulphate and 2 mM glutamine incubated at 37°C in a humidified atmosphere of 5% CO2 in air. The medium was first changed 2 days after seeding to remove non-adherent cells and the media (DMEM - 20% FBS) was changed every 2 days until the cells migrated out from the explants and reached confluency. Subconfluent primary cells were trypsinized and replated to 75 Cm2 flask. At passage 2, the cells were harvested to extract RNA for cDNA microarray....


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