The epigenetic regulator BMI1 is upregulated in many human malignancies and has been implicated in cell migration, but the impact on autochthonous tumor progression is unexplored. Our analyses of human expression data show that BMI1 levels increase with progression in melanoma. We find that BMI1 expression in melanoma cells does not influence cell proliferation or primary tumor growth. In contrast, BMI1 levels are a key determinant of melanoma metastasis, whereby deletion impairs and overexpression enhances dissemination. Remarkably, BMI1’s pro-metastatic effect reflects enhancement of all stages of the metastatic cascade including invasion, migration, extravasation, adhesion and survival. Additionally, downregulation or upregulation of BMI1 induces sensitivity or resistance to BRAF inhibitor. Consistent with these pleiotropic effects, we find that BMI1 promotes widespread gene expression changes that encompass key hallmarks of the melanoma invasive signature, including activation of TGFß, non-canonical Wnt, EMT and EGF/PDGF pathways. Importantly, for both primary and metastatic melanoma samples, this BMI1-induced signature identifies invasive subclasses of human melanoma and predicts poor patient outcome. Our data yield key insights into melanoma biology and establish BMI1 as a compelling drug target whose inhibition would suppress both metastasis and chemoresistance. Overall design: Three replicates of A375 BMI1 or GFP overexpressing cells.
BMI1 induces an invasive signature in melanoma that promotes metastasis and chemoresistance.
No sample metadata fields
View SamplesThe inflammatory response of preterm infants' intestine underlines its inability to respond to hemodynamic stress, microbes and nutrients. Recent evidence suggests that exogenous epidermal growth factor (EGF) exerts a therapeutic influence on neonatal enteropathies. However, the molecular mechanisms underlying the beneficial effects of EGF remain to be clarified. The purpose of this study was to evaluate the impact of EGF on the gene expression profiles of the developing human small and large intestine at mid-gestation in serum-free organ cultures using Illumina microarrays.
Anti-inflammatory effects of epidermal growth factor on the immature human intestine.
Specimen part
View SamplesPurpose: Identify whole lung gene expression patterns in a house dust mite model of mild/moderate asthma Methods: Lung gene expression profiles of 10 week old BALB/c female mice were generated by ribosome-depleted, 150 nt, paired-end, stranded RNA-seq with Illumina HiSeq v4. Sequence reads that passed quality filters after trimming were analyzed with Sailfish-cir to identify linear RNAs and circular RNAs. Differential expression of linear RNAs was assessed with Deseq2 . QRT–PCR validation was performed using TaqMan and SYBR Green methods. Results: 100 million sequence reads per sample were mapped to the mouse genome (build mm10) using Sailfish-cir to identify linear and circular RNA transcripts. Pathway analysis of differentially expressed genes identified upregulation of gene sets for human asthma, mouse lung allergic inflammation, Muc5ac regulated genes and smooth muscle genes after allergic sensitization. Gene level exppression in each asthma-related pathway was reduced by the miR-145 antagonist. The miR-145 antagonist and several nontargeting oligos also upregulated interferon signaling pathways suggesting a general antiinflammatory effect of LNA/DNA oligos in the lung. Conclusions: Lung-directed delivery of LNA/DNA oligonucleotides with cationic lipid nanoparticles is an efffective means to prevent inflammatory gene expression in a house dust mite model of mild/moderate asthma. Overall design: Linear and circular RNA transcript expression was compared in whole lung tissue from unsensitized, house dust mite sensitzed, antimiR-145 treated treated mice
Nanoparticle Delivery of Anti-inflammatory LNA Oligonucleotides Prevents Airway Inflammation in a HDM Model of Asthma.
Age, Specimen part, Cell line, Treatment, Subject
View SamplesPurpose: Identify whole lung gene expression patterns modified by nanoparticle delivery of an antisense LNA/DNA oligonucleotide targeting mmu-miR145a-5p and nontargeting oligonucleotides Methods: Lung gene expression profiles of 10 week old BALB/c female mice were generated by polyA RNA-seq with Illumina HiSeq v4. Sequence reads that passed quality filters after timming were analyzed at the gene level with RNA STAR, featureCounts and Deseq2 . qRT–PCR validation was performed using TaqMan and SYBR Green methods. Results: 10-15 million sequence reads per sample were mapped to the mouse genome (build mm10). Pathway analysis of differentially expressed genes identified upregulation of gene sets for human asthma, mouse lung allergic inflammation, Muc5ac regulated genes and smooth muscle genes after allergic sensitization. Gene level exppression in each asthma-related pathway was reduced by the miR-145 antagonist. The miR-145 antagonist and several nontargeting oligos also upregulated interferon signaling pathways suggesting a general antiinflammatory effect of LNA/DNA oligos in the lung. Conclusions: Lung-directed delivery of LNA/DNA oligonucleotides with cationic lipid nanoparticles is an efffective means to prevent inflammatory gene expression in a house dust mite model of asthma Overall design: Lung gene expression in unsensitized, house dust mite sensitized, antimiR-145 treated and nontargeting oligonucleotide treated mice
Nanoparticle Delivery of Anti-inflammatory LNA Oligonucleotides Prevents Airway Inflammation in a HDM Model of Asthma.
Age, Specimen part, Cell line, Subject
View SamplesTranscriptional profiling of small intestinal explants cultured in the absence or in the presence of Ibuprofen (100 M).
Impaired antimicrobial response and mucosal protection induced by ibuprofen in the immature human intestine.
Specimen part
View SamplesP1 encodes an R2R3-MYB transcription factor responsible for the accumulation of insecticidal flavones in maize silks and red phlobaphene pigments in pericarps and other floral tissues, which contributed to making P1 an important visual marker since the dawn of modern genetics. We conducted RNA-Seq using pericarps at two different stages, 14 and 25 days after pollination (DAP). High-throughput sequencing using the Illumina platform resulted in the generation of ~20 million high quality reads, from which ~90% aligned to the recently completed maize genome sequence corresponding to ~5 million reads for each one of the four samples. Overall design: Examination of two different RNA samples from two different stages of maize pericarp tissues.
A genome-wide regulatory framework identifies maize pericarp color1 controlled genes.
Specimen part, Subject
View SamplesP1 encodes an R2R3-MYB transcription factor responsible for the accumulation of insecticidal flavones in maize silks and red phlobaphene pigments in pericarps and other floral tissues, which contributed to making P1 an important visual marker since the dawn of modern genetics. We conducted RNA-Seq using from maize silks obtained at 2-3 days after emergence. High-throughput sequencing using the Illumina platform resulted in the generation of ~14 million high quality reads, corresponding to ~7 million reads for each sample, from which 76% aligned to the maize genome. Overall design: Examination of two different RNA samples from maize silks obtained at 2-3 days after emergence
A genome-wide regulatory framework identifies maize pericarp color1 controlled genes.
Specimen part, Subject
View SamplesThe involvement of osteocytes in multiple myeloma (MM)-induced osteoclast formation and the occurrence of bone lesions are still unknown. Osteocytes regulate bone remodeling at least in part through the cell death and apoptosis triggering osteoclast recruitment and formation. In this study, firstly we shown that MM cells increased osteocyte death and affect their transcriptional profile evaluated by microarray analysis up-regulating osteoclastogenic cytokines as interleukin (IL)-11. Consistently we show that the conditioned media of human pre-osteocytes co-cultured with MM cells significantly increased osteoclastogenesis. To translate into a clinical perspective such in vitro evidences, we then performed histological analysis on bone biopsies obtained from MM patients, MGUS and healthy controls. We found a significant reduction in the number of viable osteocytes in MM patients as compared to controls. A significant negative correlation between the number of viable osteocytes and that of osteoclasts was also demonstrated. Moreover, as regards the skeletal involvement, we found that MM patients with bone lesions have a significant lower number of viable osteocyte than those without. Overall, our data suggest a role of osteocytic cell death in MM-induced osteoclast formation in vitro and MM bone disease in vivo in MM patients.
Increased osteocyte death in multiple myeloma patients: role in myeloma-induced osteoclast formation.
Specimen part, Cell line, Treatment
View SamplesHuman myelopoiesis is an exciting biological model for cellular differentiation since it represents a plastic process where pluripotent stem cells gradually limit their differentiation potential, generating different precursor cells which finally evolve into distinct terminally differentiated cells. This study aimed at investigating the genomic expression during myeloid differentiation through a computational approach that integrates gene expression profiles with functional information and genome organization. The genomic distribution of myelopoiesis genes was investigated integrating transcriptional and functional characteristics of genes. The analysis of genomic expression during human myelopoiesis using an integrative computational approach allowed discovering important relationships between genomic position, biological function and expression patterns and highlighting chromatin domains, including genes with coordinated expression and lineage-specific functions.
Motif discovery in promoters of genes co-localized and co-expressed during myeloid cells differentiation.
No sample metadata fields
View SamplesHuman myelopoiesis is an exciting biological model for cellular differentiation since it represents a plastic process where pluripotent stem cells gradually limit their differentiation potential, generating different precursor cells which finally evolve into distinct terminally differentiated cells. This study aimed at investigating the genomic expression during myeloid differentiation through a computational approach that integrates gene expression profiles with functional information and genome organization. The genomic distribution of myelopoiesis genes was investigated integrating transcriptional and functional characteristics of genes. The analysis of genomic expression during human myelopoiesis using an integrative computational approach allowed discovering important relationships between genomic position, biological function and expression patterns and highlighting chromatin domains, including genes with coordinated expression and lineage-specific functions.
Motif discovery in promoters of genes co-localized and co-expressed during myeloid cells differentiation.
No sample metadata fields
View Samples