Validation of a first-generation long-oligonucleotide microarray for transcriptional profiling in the pig.
نویسندگان
چکیده
A first-generation porcine oligonucleotide set, representing 13,297 cDNAs and ESTs, has been designed by Qiagen-Operon for transcriptional profiling. To validate this set, microarrays containing each 70-mer oligonucleotide, referred to as the Qiagen-NRSP8 array, were hybridized with targets from porcine adult liver, lung, muscle, or small intestine. Transcriptome analyses showed that 11,328 of the oligonucleotides demonstrated expression in at least one tissue. Statistical analyses revealed that 1810 genes showed differential expression among tissues (Bonferroni adjusted p < 0.05). Biological pathways identified by DAVID/EASE analysis using a list of 423 tissue-selective genes matched archetypal pathways in the corresponding human or mouse tissue. Real-time quantitative PCR confirmed expression patterns for 9 of 11 genes tested. Our results demonstrate that this first-generation porcine oligonucleotide array is informative and the specificity is high. This is essential validation for investigators using the Qiagen-NRSP8 array for porcine functional genomics and for using the pig in modeling important physiological problems.
منابع مشابه
I-37: Establishing High Resolution Genomic Profiles of Single Cells Using Microarray and Next-Generation Sequencing Technologies
The nature and pace of genome mutation is largely unknown. Standard methods to investigate DNA-mutation rely on arraying or sequencing DNA from a population of cells, hence the genetic composition of individual cells is lost and de novo mutation in cell(s) is concealed within the bulk signal. We developed methods based on (SNP-) arraying and next-generation sequencing of single-cell whole-genom...
متن کاملProstate Cancer Expression Profiles Reveals Pathway Dysregulation in Meta-Analysis of Microarrays : Interstudy Validation of Gene
The increasing availability and maturity of DNA microarray technology has led to an explosion of cancer profiling studies. To extract maximum value from the accumulating mass of publicly available cancer gene expression data, methods are needed to evaluate, integrate, and intervalidate multiple datasets. Here we demonstrate a statistical model for performing meta-analysis of independent microar...
متن کاملmiR-4284 and miR-4484 as Putative Biomarkers for Diffuse Large B-Cell Lymphoma
Diffuse large B-cell lymphoma is the most common type of non-Hodgkin lymphoma. MicroRNAs (miRNAs) are endogenous small RNA, which can regulate gene expression at the post-transcriptional level. MiRNA profiling has shown a great potential as novel diagnostic and prognostic biomarkers. The present study was performed at the Nemazee Teaching Hospital (Shiraz, Iran) from 2011 to 2013.The aim of thi...
متن کاملMeta-analysis of microarrays: interstudy validation of gene expression profiles reveals pathway dysregulation in prostate cancer.
The increasing availability and maturity of DNA microarray technology has led to an explosion of cancer profiling studies. To extract maximum value from the accumulating mass of publicly available cancer gene expression data, methods are needed to evaluate, integrate, and intervalidate multiple datasets. Here we demonstrate a statistical model for performing meta-analysis of independent microar...
متن کاملExpression Profiling of Microarray Gene Signatures in Acute and Chronic Myeloid Leukaemia in Human Bone Marrow
Background Classification of cancer subtypes by means of microarray signatures is becoming increasingly difficult to ignore as a potential to transform pathological diagnosis nonetheless, measurement of Indicator genes in routine practice appears to be arduous. In a preceding published study, we utilized real-time PCR measurement of Indicator genes in acute lymphoid leukaemia (ALL) and acute m...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Genomics
دوره 86 5 شماره
صفحات -
تاریخ انتشار 2005