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Gene Expression

Animal Genetics   Research Article

Correlation between sheep YAP1 temporal and spatial expression trends and MSTN and MyoG gene expression

Authors: X.Y. Lv, W. Sun, R. Su, D. Li, Q.Z. Wang, H.H. Musa, L. Chen, Y.F. Zhang and W.Z. Wu

The aim of the current study was to investigate the effects of Yes-associated protein 1 (YAP1) gene expression after birth on the development of muscle and the relationship between YAP1 and myostatin (MSTN) and myogenin (MyoG). Reverse transcription polymerase chain reaction was used to analyze the trends in YAP1, MSTN, and MyoG temporal and spatial expre.. Read More»

Genet. Mol. Res. 14(2):
http://dx.doi.org/2015.April.13.3
DOI:
http://dx.doi.org/10.4238/2015.April.13.3
Plant Genetics   Research Article

Cloning and quantitative expression analysis of drought-induced genes in soybean

Authors: R. Stolf-Moreira, M.E. Medri, N. Neumaier, N.G. Lemos, R.L. Brogin, F.C. Marcelino, M.C.N. de Oliveira, J.R.B. Farias, R.V. Abdelnoor and A.L. Nepomuceno

We determined the expression levels of DREB transcription factor (Gmdreb1) and of the genes Gmgols, Gmpip1b, Gmereb, and Gmdefensin in drought-tolerant (MG/BR46-Conquista) and drought-sensitive (BR16) genotypes of soybean, during drought. The trial was carried out in a controlled-environment chamber, set up to provide drought .. Read More»

Genet. Mol. Res. 9(2):
vol9-2gmr701
DOI:
10.4238/vol9-2gmr701
Plant Genetics   Research Article

Genome-wide identification, classification, and analysis of heat shock transcription factor family in Chinese cabbage (Brassica rapa pekinensis)

Authors: X.Y. Huang, P. Tao, B.Y. Li, W.H. Wang, Z.C. Yue, J.L. Lei andX.M. Zhong

Chinese cabbage (Brassica rapa ssp. pekinensis) is one of the most important vegetable crops grown worldwide, and various methods exist for selection, propagation, and cultivation. The entire Chinese cabbage genome has been sequenced, and the heat shock transcription factor family (Hsfs) has been found to play a central role in plant growth and developmen.. Read More»

Genet. Mol. Res. 14(1):
2015.March.27.5
DOI:
10.4238/2015.March.27.5
Human Genetics   Research Article

Abnormal gene expression profile reveals the common key signatures associated with clear cell renal cell carcinoma: a meta-analysis

Authors: H.J. Zhang, Z.Q. Sun, W.Q. Qian and L. Sheng

The aims of this study were to identify the common gene signatures of clear cell renal cell carcinoma (CCRCC), and to expand the respective protein-protein interaction networks associated with CCRCC regulation. For the latter, we utilized multiple gene expression data sets from the National Center for Biotechnology Information (NCBI) Gene Expression Omnib.. Read More»

Genet. Mol. Res. 14(1):
2015.March.27.7
DOI:
10.4238/2015.March.27.7
Bioinformatics   Research Article

BayBoots: a model-free Bayesian tool to identify class markers from gene expression data

Authors: Ricardo Z.N. V�ªncio, Diogo F.C. Patr�£o, Cassio S. Baptista, Carlos A.B. Pereira and Bianca Zingales

One of the goals of gene expression experiments is the identification of differentially expressed genes among populations that could be used as markers. For this purpose, we implemented a modelfree Bayesian approach in a user-friendly and freely available web-based tool called BayBoots. In spite of a common misunderstanding th.. Read More»

Genet. Mol. Res. 5(1):
Bioinformatics   Research Article

Gene Class Expression: analysis tool of Gene Ontology terms with gene expression data

Authors: Gislaine S.P. Pereira, Rodrigo M. Brand�£o, Silvana Giuliatti, Marco A. Zago and Wilson A. Silva Jr.

Serial analysis of gene expression (SAGE) technology produces large sets of interesting genes that are difficult to analyze directly. Bioinformatics tools are needed to interpret the functional information in these gene sets. We present an interactive web-based tool, called Gene Class, which allows functional annotation of SAG.. Read More»

Genet. Mol. Res. 5(1):
Plant Genetics   Research Article

De novo transcriptome analysis of tobacco seedlings and identification of the early response gene network under low-potassium stress

Authors: L.Q. Li, J. Li, Y. Chen, Y.F. Lu and L.M. Lu

Tobacco is an economically important crop, and its potassium content can greatly affect the quality of tobacco leaves. However, the molecular mechanism involved in potassium starvation in tobacco has not been elucidated to date. In this study, Illumina (Solexa) sequencing technology was used to analyze the transcriptome of tobacco seedlings under low-pota.. Read More»

Genet. Mol. Res. 15(3):
gmr.15038599
DOI:
10.4238/gmr.15038599
Plant Genetics   Research Article

Cloning and bioinformatic analysis of transcription factor MYB10 from the red-leaf peach

Authors: X.Q. Wang, J. Han, Y. Wen, W.B. Jiang, J.G. Fang, B.B. Zhang and R.J. Ma

In higher plants, the transcription factor MYB10 is an important regulator of anthocyanin biosynthesis. In order to study its role in the development of red coloration in peach leaves, the full-length MYB10 complementary DNA sequence of the red-leaf peach cultivar ‘Tsukuba No. 5’ (Prunus persica f. atropurpurea) wa.. Read More»

Genet. Mol. Res. 15(4):
gmr15048013
DOI:
10.4238/gmr15048013
Animal Genetics   Research Article

An algorithm to infer similarity among cell types and organisms by examining the most expressed sequences

Authors: S.A.P. Pinto and J.M. Ortega

Following sequence alignment, clustering algorithms are among the most utilized techniques in gene expression data analysis. Clustering gene expression patterns allows researchers to determine which gene expression patterns are alike and most likely to participate in the same biological process being investigated. Gene express.. Read More»

Genet. Mol. Res. 7(3):
vol7-3x-meeting010
DOI:
10.4238/vol7-3x-meeting010
Medical Genetics   Research Article

Detecting the potential cancer association or metastasis by multi-omics data analysis

Authors: L. Hua, WY. Zheng, H. Xia and P. Zhou

Comprehensive multi-omics data analyses have become an important means for understanding cancer incidence and progression largely driven by the availability of high-throughput sequencing technologies for genomes, proteomes, and transcriptomes. However, how tumor cells from the site of origin of the cancer begin to grow in other sites of the body is very p.. Read More»

Genet. Mol. Res. 15(3):
gmr.15038987
DOI:
10.4238/gmr.15038987