Results 211 to 220 of about 454,087 (261)
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Gene expression profiling of porokeratosis
Journal of Cutaneous Pathology, 2008Background: Porokeratosis (PK) represents a heterogeneous group of disorders of keratinization and has a wide variety of clinical manifestations. PK may exhibit similarities with psoriasis at both clinical and molecular levels. The genetic basis and pathogenesis for PK remain elusive.Methods: We studied the transcriptional profiles of three pairwise ...
Zheng-Hua, Zhang +11 more
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Gene Expression Profiling in Ecotoxicology
Ecotoxicology, 2003Gene expression profiling is a powerful new end point for ecotoxicology and a means for bringing the genomics revolution to this field. We review the usefulness of gene expression profiling as an end point in ecotoxicology and describe methods for applying this approach to non-model organisms.
Terry W, Snell +2 more
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Single-Cell Gene Expression Profiling
Science, 2002A key goal of biology is to relate the expression of specific genes to a particular cellular phenotype. However, current assays for gene expression destroy the structural context. By combining advances in computational fluorescence microscopy with multiplex probe design, we devised technology in which the expression of many genes can be visualized ...
Jeffrey M, Levsky +3 more
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Gene expression profiling of lymphomas
Current Oncology Reports, 2001The functional phenotype of a cell results from the simultaneous action of many thousands of genes, which until recently could not be assessed using standard molecular biological techniques. Indeed, molecular genetics and cellular biology inadequately explain the molecular physiology of normal and diseased cells and provide a fragmented view of the ...
U, Hegde, W H, Wilson
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Tumor-specific gene expression patterns with gene expression profiles
Science in China Series C, 2006Gene expression profiles of 14 common tumors and their counterpart normal tissues were analyzed with machine learning methods to address the problem of selection of tumor-specific genes and analysis of their differential expressions in tumor tissues. First, a variation of the Relief algorithm, "RFE_Relief algorithm" was proposed to learn the relations ...
Xiaogang, Ruan +4 more
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Tissue Classification with Gene Expression Profiles
Journal of Computational Biology, 2000Constantly improving gene expression profiling technologies are expected to provide understanding and insight into cancer-related cellular processes. Gene expression data is also expected to significantly aid in the development of efficient cancer diagnosis and classification platforms.
A, Ben-Dor +5 more
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Gene Expression Profiling in Asthma
2013Transcriptomics (gene expression profiling) refers to the quantitative and qualitative characterization of the collection of ribose nucleic acid (RNA) elements expressed in a biological system and represents one of the first truly genome-wide hypothesis-free investigative approaches in molecular biology.
Joanne, Sordillo, Benjamin A, Raby
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Expression Profiling of Organellar Genes
2012Due to their endosymbiotic origin, expression of plastid and mitochondrial genes retains several features of prokaryotes. Nevertheless, plant organelles acquired novel specific traits during evolution. Furthermore, due to the migration of many genes to the nucleus of the host cell, complex anterograde and retrograde signalling pathways evolved to ...
Cardi T, Giegé P, Kahlau S, Scotti N
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Gene expression profiling and multiple myeloma
Best Practice & Research Clinical Haematology, 2005Gene expression profiling is a powerful tool through which the biology of multiple myeloma can be dissected. We will describe in this chapter how early studies using this technology have provided meaningful insights into myeloma biology, have led to the identification of new therapeutic targets, and have identified powerful prognostic and ...
John, Shaughnessy +3 more
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2010
Gene expression (GE) analyses by use of microarrays (MAs) have become an important part of biomedical and clinical research and the resulting data may provide important information regarding pathogenesis and be extrapolated for use in diagnosing/prognosticating lymphomas and leukemias.
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Gene expression (GE) analyses by use of microarrays (MAs) have become an important part of biomedical and clinical research and the resulting data may provide important information regarding pathogenesis and be extrapolated for use in diagnosing/prognosticating lymphomas and leukemias.
openaire +1 more source

