Total RNA was extracted using TRI® Reagent (Sigma). cDNA was synthesized by RevertAid™ First Strand cDNA Synthesis Kit with Oligo dT primers (K1622, Fermentas) following manufacturer’s recommendations. PCR reactions were carried out on a DNAEngine® Thermal Cycler (PTC-0200G, Bio-Rad) in 25 µl reaction volume containing 1 µl cDNA, 200 nM primer pairs and components of TaKaRa Taq™ kit (R001A, Takara). All samples were analyzed in triplicate RT-qPCR.mRNAs were extracted using biotinylated poly(dT) oligo, followed by further removing of contaminated rRNA using RiboMinus Transcriptome Isolation Kit (K1550-02, Invitrogen). Then mRNAs were fragmented into 100-200nt length and subjected to immunoprecipitation with m6A specific antibody.The libraries were sequenced using HiSeq2000 (Illumina) in single-read mode, creating reads with a length of 101 bp. Sequencing chemistry v2 (Illumina) was used and samples were multiplexed in two samples per lane. Overall design: discovery of the binding motif of m6a in normal, FTO deficient and five stages of adipogensis (D-2/0/2/5/10) in Mouse embryo ?broblast 3T3-L1 pre-adipocytes
FTO-dependent demethylation of N6-methyladenosine regulates mRNA splicing and is required for adipogenesis.
No sample metadata fields
View SamplesRNA was isolated from control and FTO,METTL3 deficient mouse 3T3-L1 cells using the TRIzol (Invitrogen) reagent by following the company manual.Total RNA was isolated from transiently transfected cells with TRI® Reagent (Sigma). mRNA was extracted using biotinylated poly(dT) oligo, followed by further removing of contaminated rRNA using RiboMinus Transcriptome Isolation Kit (K1550-02, Invitrogen). mRNA quality was analyzed by NanoDrop. Approximately 2.5 µg of total RNA was then used for library preparation using a TruSeq™ RNA Sample Prep Kit v2 (Illumina, San Diego, CA, USA) according to the manufacturer’s protocol.The libraries were sequenced using HiSeq2000 (Illumina) in single-read mode, creating reads with a length of 101 bp. Sequencing chemistry v2 (Illumina) was used and samples were multiplexed in two samples per lane. Overall design: Examination of gene expressive levels in normal and FTO, METTL3 deficient mouse 3T3-L1 cells
FTO-dependent demethylation of N6-methyladenosine regulates mRNA splicing and is required for adipogenesis.
No sample metadata fields
View SamplesRNA was isolated from and METTL3,WTAP deficient Human HeLa cells using the TRIzol (Invitrogen) reagent by following the company manual. For all samples the RNA integrity was checked using an Agilent Bioanalyzer 2100. All samples showed a RIN (RNA integrity number) of higher than 9. Approximately 2.5 µg of total RNA was then used for library preparation using a TruSeq™ RNA Sample Prep Kit v2 (Illumina, San Diego, CA, USA) according to the manufacturer’s protocol.The libraries were sequenced using HiSeq2000 (Illumina) in single-read mode, creating reads with a length of 50 bp. Sequencing chemistry v2 (Illumina) was used and samples were multiplexed in two samples per lane. Overall design: Examination of gene expressive levels in normal and METTL3,WTAP deficient Human HeLa cells
Mammalian WTAP is a regulatory subunit of the RNA N6-methyladenosine methyltransferase.
Specimen part, Cell line, Treatment, Subject
View SamplesTranscriptional profiles of HCMV or Mock infected neonatal and adult were anayzed
IL-12 and type I IFN response of neonatal myeloid DC to human CMV infection.
Specimen part, Time
View SamplesLoss of organelle homeostasis is a hallmark of aging. However, it remains elusive how this occurs at transcriptional levels. Here, we report that human mesenchymal stem cell (hMSC) aging is associated with dysfunction of double-membrane organelles and downregulation of transcription factor ATF6. CRISPR/Cas9-mediated inactivation of ATF6 in hMSCs, not in human embryonic stem cells (hESCs), resulted in premature cellular aging, characteristic of loss of endomembrane homeostasis. Comparative transcriptomic analyses in hMSCs identify 145 constitutive and 112 tunicamycin-induced ATF6-regulated genes implicated in different layers of cellular homeostasis regulation. Notably, FOS was identified as one of the constitutive ATF6 responsive genes, downregulation of which contributes to accelerated hMSC senescence. Our study identifies a novel transcriptional program related to homeostatic regulation of membrane organelles, and provides mechanistic insights into aging-associated attrition of human stem cells. Overall design: RNA Seq and ChIP-Seq
ATF6 safeguards organelle homeostasis and cellular aging in human mesenchymal stem cells.
No sample metadata fields
View SamplesInhibition of FOXO1 activity in kidney microvascular endothelial cells improves angiogenesis Overall design: Kidney microvascular endothelial cells were serum starved and treated with DMSO control or FOXO1 inhibitor for one hour, then stimulated with VEGF for 30 minutes
Hyperactive FOXO1 results in lack of tip stalk identity and deficient microvascular regeneration during kidney injury.
Specimen part, Treatment, Subject, Time
View SamplesCombinations of anticancer agents may have synergistic anti-tumor effects, but enhanced hematological toxicity often limit their clinical use. We examined whether microarray profiles could be used to compare early molecular responses following a single dose of agents administered individually with that of the agents administered in a combination. Six patterns of co-expressed genes were detected at the 1-hour time point which indicate regulatory expression of genes dependent on the order of the administration. When topotecan is given first, several signal transduction transcription factors associated with cancer or inactivation of a tumor suppressor were co-regulating gene expression. These results suggest alterations in histone biology, chromatin remodeling, DNA repair, bone regeneration, and respiratory and oxidative phosphorylation are among the prominent pathways modulated in bone marrow from animals treated with an oxaliplatin/topotecan combination.
Toxicogenomics profiling of bone marrow from rats treated with topotecan in combination with oxaliplatin: a mechanistic strategy to inform combination toxicity.
Sex, Age, Specimen part, Time
View SamplesBackground. Differential gene expression in adipose tissue during diet-induced weight loss followed by a weight stability period is not well characterized. Markers of these processes may provide a deeper understanding of the underlying mechanisms. Objective. To identify differentially expressed genes in human adipose tissue during weight loss and weight maintenance after weight loss. Design. RNA from subcutaneous abdominal adipose tissue from nine obese subjects was obtained and analyzed at baseline, after weight reduction on a low calorie diet (LCD), and after a period of group therapy in order to maintain weight stability. Results. Subjects lost 18.8 + 5.4% of their body weight during the LCD and maintained this weight during group therapy. Insulin sensitivity (HOMA) improved after weight loss with no further improvement during weight maintenance. Cyclin-dependent kinase inhibitor 2B (CDKN2B) and JAZF zinc finger 1 (JAZF1), associated with type 2 diabetes, were downregulated. We could also confirm the downregulation of candidates for obesity and related traits, such as tenomodulin (TNMD) and matrix metallopeptidase 9 (MMP9), with weight loss. The expression of other candidates, such as cell death-inducing DFFA-like effector A (CIDEA) and stearoyl-CoA desaturase (SCD) were upregulated during weight loss but returned to baseline levels during weight maintenance. Conclusion. Genes in the adipose tissue are differentially expressed during weight loss and weight maintenance after weight loss. Genes that show sustained regulation may be of potential interest as markers of the beneficial effects of weight loss whereas others seem to be primarily involved in the process of weight loss itself.
Differential gene expression in adipose tissue from obese human subjects during weight loss and weight maintenance.
Sex, Age
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