We performed microarray analysis to investigate the gene expression profile changes induced by Hmg20b knock down in I/11 cells.
The DNA binding factor Hmg20b is a repressor of erythroid differentiation.
Specimen part
View SamplesAlthough the basic anatomical sub-divisions of the larval mosquito gut were established several decades ago, information regarding their exact physiological roles is rather scarce. Several studies have reported differences between larval gut compartments in various morphological and physiological aspects. Unfortunately, the fragmentary and incomplete nature of this information makes it hard to establish clear links to the specific and/or unique physiological roles of each gut region.
A microarray-based analysis of transcriptional compartmentalization in the alimentary canal of Anopheles gambiae (Diptera: Culicidae) larvae.
No sample metadata fields
View SamplesIn spite of the many recent developments in the field of vector sialomics, the salivary glands of larvalmosquitoes have been largely unexplored. We used whole-transcriptome microarray analysis to create a gene-expression profile of the salivary gland tissue of fourth-instar Anopheles gambiae larvae, and compare it to the gene-expression profile of a matching group of whole larvae. We identified a total of 221 probes with expression values that were (a) significantly enriched in the salivary glands, and (b)sufficiently annotated as to allow the prediction of the presence/absence of signal peptides in their corresponding gene products. Based on available annotation of the protein sequences associated with these probes, we propose that the main roles of larval salivary secretions include: (a) immune response, (b) mouthpart lubrication, (c) nutrient metabolism, and (d) xenobiotic detoxification. Other highlights of the study include the cloning of a transcript encoding a previously unknown salivary defensin (AgDef5), the confirmation of mucus secretion by the larval salivary glands, and the first report of salivary lipocalins in the Culicidae.
The salivary transcriptome of Anopheles gambiae (Diptera: Culicidae) larvae: A microarray-based analysis.
No sample metadata fields
View SamplesAlmost a quarter of pediatric patients with Acute Lymphoblastic Leukemia (ALL) suffer from relapses. The biological mechanisms underlying therapy response and development of relapses have remained unclear. In an attempt to better understand this phenomenon, we have analyzed 41 matched diagnosis relapse pairs of ALL patients using genomewide expression arrays (82 arrays) on purified leukemic cells. In roughly half of the patients very few differences between diagnosis and relapse samples were found (stable group), suggesting that mostly extra-leukemic factors (e.g., drug distribution, drug metabolism, compliance) contributed to the relapse. Therefore, we focused our further analysis on 20 samples with clear differences in gene expression (skewed group), reasoning that these would allow us to better study the biological mechanisms underlying relapsed ALL. After finding the differences between diagnosis and relapse pairs in this group, we identified four major gene clusters corresponding to several pathways associated with changes in cell cycle, DNA replication, recombination and repair, as well as B cell developmental genes. We also identified cancer genes commonly associated with colon carcinomas and ubiquitination to be upregulated in relapsed ALL. Thus, about half of relapses are due to selection or emergence of a clone with deregulated expression of a genes involved in pathways that regulate B cell signaling, development, cell cycle, cellular division and replication.
Genome-wide expression analysis of paired diagnosis-relapse samples in ALL indicates involvement of pathways related to DNA replication, cell cycle and DNA repair, independent of immune phenotype.
Sex, Specimen part, Disease
View SamplesThe human bone marrow (BM) gives rise to all distinct blood cell lineages, including CD1c+ and CD141+ myeloid dendritic cells (DC) and monocytes. These cell subsets are also present in peripheral blood (PB) and lymphoid tissues. However, the difference between the BM and PB compartment in terms of differentiation state and immunological role of DC is not yet known. The BM may represent both a site for development as well as a possible effector site and so far, little is known in this light with respect to different DC subsets. Using genome-wide transcriptional profiling we found clear differences between the BM and PB compartment and a location-dependent clustering for CD1c+ and CD141+ was demonstrated. DC subsets from BM clustered together and separate from the corresponding subsets from PB, which similarly formed a cluster. In BM, a common proliferating and immature differentiating state was observed for the two DC subsets, whereas DC from the PB showed a more immune-activated mature profile. In contrast, BM-derived slan+ non-classical monocytes were closely related to their PB counterparts and not to DC subsets, implying a homogenous prolife irrespective of anatomical localization. Additional functional tests confirmed these transcriptional findings. DC-like functions were prominently exhibited by PB DC. They surpassed BM DC in maturation capacity, cytokine production and induction of CD4+ and CD8+ T cell proliferation. This first study on myeloid DC in healthy human BM offers new information on steady-state DC biology and could potentially serve as a starting point for further research on these immune cells in healthy conditions as well as in diseases.
Human Bone Marrow-Derived Myeloid Dendritic Cells Show an Immature Transcriptional and Functional Profile Compared to Their Peripheral Blood Counterparts and Separate from Slan+ Non-Classical Monocytes.
Specimen part
View SamplesAbstract: Human 6-sulfo LacNac (slan)+ cells have been subject to a paradigm debate. They have previously been classified as a distinct dendritic cell (DC) subset. However, evidence has emerged that they may be more related to monocytes than to DC. To gain deeper insight into the functional specialization of slan+ cells, we have compared them with both conventional myeloid DC subsets (CD1c+ and CD141+) in human peripheral blood. Using genome-wide transcriptional profiling as well as extensive functional tests, we clearly show that slan+ cells form a distinct, non-DC-like, population. They cluster away from both DC subsets and their gene expression profile evidently suggests involvement in distinct inflammatory processes. An extensive comparison with existing genomic data sets also strongly confirmed the relationship of slan+ with the monocytic compartment rather than with DC. From a functional perspective, their ability to induce CD4+ and CD8+ T cell proliferation is relatively low. Combined with the finding that antigen presentation by MHC class II is at the top of under-represented pathways in slan+ cells, this points to a minimal role in directing adaptive T cell immunity. Rather, the higher expression of complement receptors on their cell surface, together with their high secretion of IL-1 and IL-6, imply a specific role in innate inflammatory processes, which is consistent with their recent identification as non-classical monocytes. This study extends our knowledge on DC/monocyte subset biology under steady state conditions and contributes to our understanding of their role in immune-mediated diseases and their potential use in immunotherapeutic strategies.
Transcriptional profiling reveals functional dichotomy between human slan<sup>+</sup> non-classical monocytes and myeloid dendritic cells.
Specimen part
View SamplesPurpose: Identify zebrafish microglia transcriptome in the healthy and neurodegenerative brain. Methods: RNA sequencing was performed on FACS-sorted microglia (3x), other brain cells (3x) and activated microglia (4x). Microglia activation was induced using nitroreductase-mediated cell ablation. 10-20 million reads per sample were obtained. Reads were mapped to zebrafish genome GRC10. Results: We identified the zebrafish microglia transcriptome, which shows overlap with previously identified mouse microglia transcriptomes. Transcriptomes obtained 24h and 48h after treatment appeared highly similar. Therefore, these datasets were pooled. Additionally, we identified an acute proliferative response of microglia to induced neuronal cell death. Overall design: Zebrafish microglia transcriptomes of homeostatic microglia (triplicate), other brain cells (triplicate), activated microglia 24h (duplo), activated microglia 48h (duplo). In data analysis all activated microglia samples were pooled.
Identification of a conserved and acute neurodegeneration-specific microglial transcriptome in the zebrafish.
No sample metadata fields
View SamplesIn acute promyelocytic leukemia (APL), differentiation therapy with all-trans retinoic acid (ATRA)
Chemokine induction by all-trans retinoic acid and arsenic trioxide in acute promyelocytic leukemia: triggering the differentiation syndrome.
Specimen part
View SamplesSkeletal muscle mitochondrial dysfunction is secondary to T2DM and can be improved by long-term regular exercise training
Physical activity is the key determinant of skeletal muscle mitochondrial function in type 2 diabetes.
Age
View SamplesPurpose: Our lab has previously shown that Scleraxis (Scx) is require for proper valve development in vivo. In order to fully explore gene networks regulated by Scx during the vital stages of valve remodeling , high throughput RNA-squencing was performed. Results:There were a total of 18,810 genes were detected. A total of 864 genes were differentially expressed Scx null AVC regions: 645 being upregulated and 217 downregulated. Overall design: In this data set, we include expression data from atrioventricular canal (AVC) regions from Scx null and wild-type littermate controls at embryonic day 15.5. A total of 6 samples were analyzed; 3 valve regions from E15.5 Scx-/- mice, and 3 from E15.5 Scx+/+ wild-type littermate controls. Differential expression read counts are ranked based on p-value (<0.05).
RNA-seq analysis to identify novel roles of scleraxis during embryonic mouse heart valve remodeling.
No sample metadata fields
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