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An assessment of Motorola CodeLink microarray performance for gene expression profiling applications.

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TLDR
This work demonstrates three significant advantages of the Motorola CodeLink platform: sensitivity of one copy per cell, coefficients of variation in the hybridization signals across slides and across target preparations, and specificity in distinguishing highly homologous sequences.

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miR-122 regulation of lipid metabolism revealed by in vivo antisense targeting.

TL;DR: IMR-122 inhibition in a diet-induced obesity mouse model resulted in decreased plasma cholesterol levels and a significant improvement in liver steatosis, accompanied by reductions in several lipogenic genes, suggesting that miR- 122 may be an attractive therapeutic target for metabolic disease.
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Human hepatic stellate cell lines, LX-1 and LX-2: new tools for analysis of hepatic fibrosis

TL;DR: LX-1 and LX-2 human HSC lines provide valuable new tools in the study of liver disease by retaining key features of HSCs and having a retinoid phenotype typical of stellate cells.
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Microarray-based, high-throughput gene expression profiling of microRNAs

TL;DR: It is demonstrated that miRNAs can be isolated and profiled from formalin-fixed paraffin-embedded tissue, which opens up new opportunities for analyses of small RNAs from archival human tissue.
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Reliability and reproducibility issues in DNA microarray measurements

TL;DR: DNA microarrays enable researchers to monitor the expression of thousands of genes simultaneously but the current technology has several limitations, which need to be addressed.
References
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Journal ArticleDOI

Molecular portraits of human breast tumours

TL;DR: Variation in gene expression patterns in a set of 65 surgical specimens of human breast tumours from 42 different individuals were characterized using complementary DNA microarrays representing 8,102 human genes, providing a distinctive molecular portrait of each tumour.
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Molecular classification of cancer: class discovery and class prediction by gene expression monitoring.

TL;DR: A generic approach to cancer classification based on gene expression monitoring by DNA microarrays is described and applied to human acute leukemias as a test case and suggests a general strategy for discovering and predicting cancer classes for other types of cancer, independent of previous biological knowledge.
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Quantitative monitoring of gene expression patterns with a complementary DNA microarray.

TL;DR: A high-capacity system was developed to monitor the expression of many genes in parallel by means of simultaneous, two-color fluorescence hybridization, which enabled detection of rare transcripts in probe mixtures derived from 2 micrograms of total cellular messenger RNA.
Journal ArticleDOI

Exploring the Metabolic and Genetic Control of Gene Expression on a Genomic Scale

TL;DR: DNA microarrays containing virtually every gene of Saccharomyces cerevisiae were used to carry out a comprehensive investigation of the temporal program of gene expression accompanying the metabolic shift from fermentation to respiration, and the expression patterns of many previously uncharacterized genes provided clues to their possible functions.
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