ArticlePloS one2009
Transcript-specific expression profiles derived from sequence-based analysis of standard microarrays.
Article in PloS one, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 21 citations in OpenAlex.
- Article
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- Transcriptional networks of murine diabetic peripheral neuropathy and nephropathy: common and distinct gene expression patterns.Diabetologia · 2016Article
- A Transcriptional Map of the Renal Tubule: Linking Structure to Function.Journal of the American Society of Nephrology : JASN · 2015Article
- Side population cells of pancreatic cancer show characteristics of cancer stem cells responsible for resistance and metastasis.Targeted oncology · 2015Article
- Genome-wide analysis of alternative splicing in Volvox carteri.BMC genomics · 2014Article
- A novel PCR-based approach to discover miRNA target genes.International journal of medical sciences · 2014Article
- TIPMaP: a web server to establish transcript isoform profiles from reliable microarray probes.BMC genomics · 2013Article
- Identification of cross-species shared transcriptional networks of diabetic nephropathy in human and mouse glomeruli.Diabetes · 2013Article
- Repair problems in podocytes: Wnt, Notch, and glomerulosclerosis.Seminars in nephrology · 2012Review
- Jetset: selecting the optimal microarray probe set to represent a gene.BMC bioinformatics · 2011Article
- Differential granulosa cell gene expression in young women with diminished ovarian reserve.Reproductive sciences (Thousand Oaks, Calif.) · 2011Article
- Impact of probe annotation on the integration of miRNA-mRNA expression profiles for miRNA target detection.Nucleic acids research · 2010Article
- Human nephrosclerosis triggers a hypoxia-related glomerulopathy.The American journal of pathology · 2010Article
- Integrating multiple genome annotation databases improves the interpretation of microarray gene expression data.BMC genomics · 2010Article
- Glioblastoma Multiforme: Fewer Tumor Copy Number Segments of theCancer genomics & proteomicsArticle
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 3 countries.
Funding
Abstract
backgroundAlternative mRNA processing mechanisms lead to multiple transcripts (i.e. splice isoforms) of a given gene which may have distinct biological functions. Microarrays like Affymetrix GeneChips measure mRNA expression of genes using sets of nucleotide probes. Until recently probe sets were not designed for transcript specificity. Nevertheless, the re-analysis of established microarray data using newly defined transcript-specific probe sets may provide information about expression levels of specific transcripts. METHODOLOGY/PRINCIPAL
findingsIn the present study alignment of probe sequences of the Affymetrix microarray HG-U133A with Ensembl transcript sequences was performed to define transcript-specific probe sets. Out of a total of 247,965 perfect match probes, 95,008 were designated "transcript-specific", i.e. showing complete sequence alignment, no cross-hybridization, and transcript-, not only gene-specificity. These probes were grouped into 7,941 transcript-specific probe sets and 15,619 gene-specific probe sets, respectively. The former were used to differentiate 445 alternative transcripts of 215 genes. For selected transcripts, predicted by this analysis to be differentially expressed in the human kidney, confirmatory real-time RT-PCR experiments were performed. First, the expression of two specific transcripts of the genes PPM1A (PP2CA_HUMAN and P35813) and PLG (PLMN_HUMAN and Q5TEH5) in human kidneys was determined by the transcript-specific array analysis and confirmed by real-time RT-PCR. Secondly, disease-specific differential expression of single transcripts of PLG and ABCA1 (ABCA1_HUMAN and Q5VYS0_HUMAN) was computed from the available array data sets and confirmed by transcript-specific real-time RT-PCR.
conclusionsTranscript-specific analysis of microarray experiments can be employed to study gene-regulation on the transcript level using conventional microarray data. In this study, predictions based on sufficient probe set size and fold-change are confirmed by independent means.
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