Project description:NF-YC10 is a subunit of the NF-Y transcription factor complex in Arabidopsis thaliana. We identified NF-YC10 as an interactor of the transcription factor DREB2A, which binds to DRE and activate expression of target genes under heat and/or dehydration stress conditions. Transgenic Arabidopsis plants that overexpress NF-YC10 showed stronger expression of DREB2A target genes under heat stress and were more tolerant to heat stress tolerance than the vector control plants. We conducted a transcript profiling by microarray aiming to identify target genes of NF-YC10 under heat stress
Project description:To gain better insight into the molecular link between the post-mating transcriptional and morphological changes and the behavioral and physiological shift induced by copulation in An. gambiae females, we performed an in-depth transcriptional analysis of the female lower reproductive tract (LRT), comprising the atrium and the spermatheca, to identify the molecular pathways specifically regulated in these female reproductive tissues. We analyzed three time points post mating (3, 12 and 24 hours post mating) in order to capture transcriptional changes occurring within a broad time window after copulation. For each time point, tissues were collected from mated and age-matched virgin females and the transcriptional profile compared across 4 biological replicates using Agilent one-color microarrays.
Project description:What proteins exist in the epidermis layer and how they compare to the proteins in the surrounding mesophyll cells represents a major knowledge gap for how CAM plants thrive in environments with high temperatures and long periods of severe water deficit. Therefore, we performed large-scale proteomics to characterize proteins in epidermis and mesophyll cells from leaves of the constitutive CAM plant Kalanchoë fedtschenkoi.
Project description:To investigate whether and how the presence of RasV12-transformed cells influences the gene expression profile of the neighbouring normal epithelial cells, we performed microarray analysis. Normal Madin-Darby canine kidney (MDCK) cells were co-cultured with MDCK cells expressing GFP or GFP-RasV12. GFP-negative normal MDCK cells were then collected by FACS, and expression of various genes was compared between the two conditions.
Project description:For the detailed and sensitive detection of the responses to a specific treatment it is important to perform tissue or cell type specific analyses, but this is not easily achievable for the different leaf tissues. Here we developed a method termed MeSelect to effectively separate leaf epidermis, vascular and mesophyll cells basically without contamination from other tissues. The high yield of the MeSelect method allowed for tissue specific high-throughput proteome analyses after inhibition of the proteasome with Syringolin A and the affinity enrichment of polyubiquitylated proteins in epidermis, mesophyll and vasculature.
Project description:Solid-pseudopapillary neoplasm of pancreas (SPN), ductal adenocarcinoma (PCA), neuroendocrine tumor (NET) and non-neoplastic pancreas. comparison with gene expression of tumors and non-tumors To investigate the specific microRNA expression of SPN compared to other types of pancreatic tumor, we analyzed large-scale microRNA expressioin analysis to identify the molecular signature that may affect SPN tumorigenesis with mRNA expression profiles. Differentially expressed microRNAs were analyzed on SPNs, PCAs, NETs and Non-neoplastic tissues.
Project description:Pancreatic ductal adenocarcinoma (PDAC) remains a lethal disease with a 5-year survival of 4%. A key hallmark of PDAC is extensive stromal involvement, which makes capturing precise tumor-specific molecular information difficult. Here, we have overcome this problem by applying blind source separation to a diverse collection of PDAC gene expression microarray data, which includes primary, metastatic, and normal samples. By digitally separating tumor, stroma, and normal gene expression, we have identified and validated two tumor-specific subtypes including a â€œbasal-like⬝ subtype which has worse outcome, and is molecularly similar to basal tumors in bladder and breast cancer. Furthermore, we define 'normal' and 'activated' stromal subtypes which are independently prognostic. Our results provide new insight into the molecular composition of PDAC which may be used to tailor therapies or provide decision support in a clinical setting where the choice and timing of therapies is critical. Analysis of the landscape of gene expression in pancreatic adenocarcinoma. Data include 145 primary and 61 metastatic PDAC tumors, 17 cell lines, 46 pancreas and 88 distant site adjacent normal samples. Arrays represent distinct samples. The SPOT column in the raw data file (linked to each sample record) contains Agilent feature extraction numbers (included in the 'GPL4133-20424.txt' linked to the platform records).