[Serial analysis of gene expression].

By Ji Huang, Hongsheng Zhang, Dong Wang, Ya-Jun Cao, Jin-shui Yang. Yi chuan = Hereditas, 2002

2,426 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/75ca252b6c7226f0ff978b3c695f200748fb0536

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Citations in the corpus

Moderated statistical tests for assessing differences in tag abundance (2007, background): “Availability: An R package can be accessed from http://bioinf.wehi. edu.au/resources/ Contact: smyth@wehi.edu.au Supplementary information: http://bioinf.wehi.edu.au/resources/”
CAGE: cap analysis of gene expression (2006, unknown): “dtd" [ ]> Transcript abundance can be determined by various methods, including reverse transcription (RT)-PCR, microarray analysis, sequencing of expressed sequence tags (ESTs), serial analysis of gene expression (SAGE) and massiv”
RNA-Seq: a revolutionary tool for transcriptomics (2009, methodology): “Tag-based methods were developed to overcome these limitations, including serial analysis of gene expression (SAGE”
Real-time RT-PCR profiling of over 1400 Arabidopsis transcription factors: unprecedented sensitivity reveals novel root- and shoot-specific genes. (2004, methodology): “Like serial analysis of gene expression (SAGE; Velculescu et al., 1995), MPSS (Brenner et al., 2000a,b) generates short sequence tags produced from a de®ned position within an mRNA, and the relative abundance of these tags in a given library represents a quantitative estimate of expression of that…”
Cold stress tolerance mechanisms in plants. A review (2010, background): “Another technology known as serial analysis of gene expression partially overcomes this limitation (Velculescu et al., 1995).”
Biotechnology approaches to overcome biotic and abiotic stress constraints in legumes (2006, methodology): “…microarrays (Schena et al. 1995), Suppression Subtractive 16 Hybridization library (Diatchenko et al. 1996), Serial Analyse of Gene Expression 17 (Velculescu et al. 1995) and quantitative measurement of transcription factor (TF) expression 18 patterns have been developed in addition to older…”
Validation of oligoarrays for quantitative exploration of the transcriptome (2008, unknown): “Tags generated by SAGE are concatemerized and cloned into vectors for conventional dideoxy-sequencing [2].”
The Ensembl genome database project (2002, methodology): “Ensembl annotates known genes and predicts novel genes, with functional annotation from the InterPro (1) protein family databases and with additional annotation by OMIM disease (2), SAGE expression ( 3 ,4) and by gene family (5).”
Analysis of matched mRNA measurements from two different microarray technologies (2002, methodology): “Serial Analysis of Gene Expression (SAGE; Velculescu et al., 1995), photolithographically synthesized oligonucleotides probe microarrays (Lockhart et al., 1996) and microarrays using cDNA probes (Schena et al., 1995) are among the most common.”
Estimating mutual information using B-spline functions – an improved similarity measure for analysing gene expression data (2004, background): “With modern experimental methods in the field of gene expression, it is possible to monitor mRNA abundance for whole genomes [1,2].”
Proteomics: the first decade and beyond (2003, background): “Such approaches included the observation of clusters of mRNA species showing coordinated expression patterns in different cellular states, either by expression arrays or by serial analysis of gene expression (SAGE”