Search results for "Microarray analysis techniques"
showing 10 items of 66 documents
A microarray analysis highlights the role of tetrapyrrole pathways in grapevine responses to “stolbur” phytoplasma, phloem virus infections and recov…
2016
Abstract After providing a picture of the global transcriptomic changes of grapevine responses to “stolbur” phytoplasma, the recovery status and molecular responses to the phytoplasma and virus co-presence were analyzed. NimbleGen ® Vitis vinifera genome arrays were used. Lower transcript abundance of the genes involved in photosynthesis, trehalose, phospholipids was observed in response to the presence of “stolbur” phytoplasma. The expression of the genes involved in tetrapyrrole increased. The recovered plants showed that the transcripts involved in ATP synthesis and amino acid metabolism, secondary metabolism and biotic stress-related pathways increased. Recovery was associated with tetr…
Reverse-engineering the Arabidopsis thaliana transcriptional network under changing environmental conditions
2009
46 pages, 4 tables, 6 figures, 3 additinoal files.
The Potential of Serum Exosomal hsa_circ_0028861 as the Novel Diagnostic Biomarker of HBV-Derived Hepatocellular Cancer
2021
Hepatitis B virus (HBV)-derived hepatocellular cancer (HCC) is a serious threat to human health, especially in China. There is no highly sensitive and specific HCC biomarker at present, which makes it difficult to detect HCC at the early stage. Serum exosomal circular RNAs (circRNAs) have been reported as novel diagnostic and prognostic biomarkers of cancers. In the present study, we aimed to explore the diagnostic performance of serum exosomal circRNAs for HBV-derived HCC screening. At first, many circRNAs were found to be differentially expressed in the serum exosomes of HCC individuals by microarray analysis. The validation of dysregulated circRNAs by qRT-PCR revealed that serum exosomal…
Transcriptome Analysis of PA Gain and Loss of Function Mutants
2017
Functional genomics has become a forefront methodology for plant science thanks to the widespread development of microarray technology. While technical difficulties associated with the process of obtaining raw expression data have been diminishing, allowing the appearance of tremendous amounts of transcriptome data in different databases, a common problem using "omic" technologies remains: the interpretation of these data and the inference of its biological meaning. In order to assist to this complex task, a wide variety of software tools have been developed. In this chapter we describe our current workflow of the application of some of these analyses. We have used it to compare the transcr…
Transcriptome of early embryonic invasion at implantation sites in a murine model
2015
Successful implantation relies on the interaction between a competent embryo and a receptive endometrium. The aim of the present study was to investigate genes differentially expressed in early invasive embryonic tissue versus decidual tissue in mice. Samples were obtained from the ectoplacental cone, the immediately surrounding deciduas and from deciduas from interimplantation sites. Microarray analysis showed that 817 genes were differentially expressed between extra-embryonic tissue and the surrounding decidua and that 360 genes were differentially expressed between the different deciduas, with a high representation of developmental processes. Genes differentially expressed in the matern…
Dysfunctional mitochondrial fission impairs cell reprogramming
2016
We have recently shown that mitochondrial fission is induced early in reprogramming in a Drp1-dependent manner; however, the identity of the factors controlling Drp1 recruitment to mitochondria was unexplored. To investigate this, we used a panel of RNAi targeting factors involved in the regulation of mitochondrial dynamics and we observed that MiD51, Gdap1 and, to a lesser extent, Mff were found to play key roles in this process. Cells derived from Gdap1-null mice were used to further explore the role of this factor in cell reprogramming. Microarray data revealed a prominent down-regulation of cell cycle pathways in Gdap1-null cells early in reprogramming and cell cycle profiling uncovered…
Identification of polymorphic variants associated with erlotinib-related skin toxicity in advanced non-small cell lung cancer patients by DMET microa…
2016
Purpose: Erlotinib is a targeted agent commonly used in advanced non-small cell lung cancer (aNSCLC). However, drug-related skin toxicity often may affect the quality of life of cancer patients and lead to treatment discontinuation. Genetic polymorphisms in drug transporters and metabolizing enzymes play a major role in the interindividual variability in terms of efficacy and toxicity of erlotinib treatment. The aim of our study was to identify genetic determinants in adsorption, distribution, metabolism, and excretion genes influencing skin rash (SR) by the novel drug-metabolizing enzyme and transporter (DMET) microarray Affymetrix platform in aNSCLC patients. Methods: In a retrospective s…
Cancer stem cell-based models of colorectal cancer reveal molecular determinants of therapy resistance
2016
Abstract Colorectal cancer (CRC) therapy mainly relies on the use of conventional chemotherapeutic drugs combined, in a subset of patients, with epidermal growth factor receptor [EGFR]-targeting agents. Although CRC is considered a prototype of a cancer stem cell (CSC)-driven tumor, the effects of both conventional and targeted therapies on the CSC compartment are largely unknown. We have optimized a protocol for colorectal CSC isolation that allowed us to obtain CSC-enriched cultures from primary tumor specimens, with high efficiency. CSC isolation was followed by in vitro and in vivo validation, genetic characterization, and drug sensitivity analysis, thus generating panels of CSC lines w…
Regulatory network analysis in estradiol-treated human endothelial cells.
2021
Background/Aims: Estrogen has been reported to have beneficial effects on vascular biology through direct actions on endothelium. Together with transcription factors, miRNAs are the major drivers of gene expression and signaling networks. The objective of this study was to identify a com-prehensive regulatory network (miRNA-transcription factor-downstream genes) that controls the transcriptomic changes observed in endothelial cells exposed to estradiol. Methods: miR-NA/mRNA interactions were assembled using our previous microarray data of human umbilical vein endothelial cells (HUVEC) treated with 17ß- Estradiol (E2) (1 nmol/lL, 24 h). miRNA--mRNA pairings and their associated canonical pat…
Finding the right biomarker for renal cell carcinoma (RCC): Nivolumab treatment induces the expression of specific peripheral lymphocyte microRNAs in…
2019
Abstract Background The variability of clinical response to immune checkpoint inhibitors in RCC patients makes necessary the discovery of predictive biomarkers for patient selection. Emerging evidence has revealed a multitude of silenced genes and deregulated signalling pathways. These findings point towards extensive microRNAs (miRNAs) regulation and imply epigenetic reprogramming as a key feature of RCC. The aim of this study was to analyze the peripheral lymphocyte miRNA expression profile in metastatic RCC patients undergoing nivolumab treatment, to identify a lymphocyte miRNA signature specifically expressed in patients with partial or complete response (RP; RC) >12 months. Methods miR…