Project description:High density oligonucleotide microarrays have been used on Plasmodium vivax field isolates to estimate whole genome expression. However, no microarray platform has been experimentally optimized for studying the transcriptome of field isolates. In the present study, we adopted both bioinformatics and experimental testing approaches to select best optimized probes suitable for detecting parasite transcripts from field samples and included them in designing a custom 15K P. vivax microarray. This microarray has long oligonucleotide probes (60mer) that were in-situ synthesized onto glass slides using Agilent SurePrint technology and has been developed into an 8X15K format (8 identical arrays on a single slide). Probes in this array were experimentally validated and represents 4180 P. vivax genes in sense orientation, of which 1219 genes have also probes in antisense orientation. Validation of the 15K array by using field samples (n=14) has shown 99% of parasite transcript detection from any of the samples. Correlation analysis between duplicate probes (n=85) present in the arrays showed perfect correlation (r2=0.98) indicating the reproducibility. Multiple probes representing the same gene exhibited similar kind of expression pattern across the samples (positive correlation, r≥0.6). Comparison of hybridization data with the previous studies and quantitative real-time PCR experiments were performed to highlight the microarray validation procedure. This array is unique in its design, and results indicate that the array is sensitive and reproducible. Hence, this microarray could be a valuable functional genomics tool to generate reliable expression data from P. vivax field isolates.
Project description:Time-course transcriptional profiling of rice leaf in the field in 2009. This experiment was performed to validate the results of field transcriptomic modeling. Using 461 field transcriptome data obtained in 2008 (GSE36040; GSE36042; GSE36043; GSE36044; GSE18685) and the corresponding meteorologicla dara, we perfomred statistical modeling of transcriptome.
Project description:Vasopressin, the antidiuretic hormone, acts on the renal collecting duct. In this experiment both vasopressin (AVP) and the V2R specific agonist dDAVP were infused into Aquaporin 1 knockout animals for 7 days. The aim of the experiment was to identify genes increased by vasopressin receptors in the renal medullary collecting ducts, in the absence of an increase in renal medullary osmolarity (the AQP1 knockouts are concentrating mechanism knockouts). All experiments used inner medulla tissue for the RNA isolation. Keywords: Vasopressin treatment study
Project description:Genomic variation is an inherent phenomena observed among members of same species belonging to different geographical locations. In case of P. falciparum, an apicomplexan protozoan parasite, its 22.8 MB nuclear genome is known to display vast genetic diversity in the subtelomeric compartments having but not exclusively variant gene families like var, rifins and stevors and examples in other elements of the genome have recently been documented. Microarrays, relies solely on the genomic sequence information to capture the relevant transcript abundance and needs to consider these variations into account for revealing true transcriptional variation.Here, we describe the designing strategy of a custom P. falciparum 15K array using Agilent platform to study the transcriptome of Indian field isolates for which genome sequence information is limited. Array contains probes representing genome sequence of two distinct geographical isolates (i.e 3D7 and HB3) and subtelomeric var gene sequence of a third isolate (IT4) known to adhere in culture condition. Probes in the array have been selected based on their efficiency to detect transcripts by performing a 244K array experiment representing multiple probes per gene/transcript. Array performance was evaluated and validated using RNA materials from P. falciparum clinical isolates obtained directly from patients with differing clinical conditions due to malaria infection.Due to pre probe screening large percentage (91 %) of the represented transcripts could be detected from Indian P. falciparum isolates. Replicated probes and multiple probes representing the same gene showed perfect correlation between them suggesting good probe performance. Additional transcripts could be detected due to inclusion of unique probes representing HB3 strain transcripts. Variant surface antigen (VSA) transcripts were detected by optimized probes representing the VSA genes of three geographically distinct strains.