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Rna Seq

Plant Genetics   Research Article

Physiological analysis and transcriptome comparison of two muskmelon (Cucumis melo L.) cultivars in response to salt stress

Authors: L.M. Wang, L.D. Zhang, J.B. Chen, D.F. Huang and Y.D. Zhang

Melon (Cucumis melo L.) is an important vegetable crop that ranks second in salt tolerance among the Cucurbitaceae. Previous studies on the two muskmelon cultivars ‘Bing XueCui’ (BXC) and ‘Yu Lu’ (YL) revealed that they had different characteristics under salt stress, but the molecular basis underlying their different physiological.. Read More»

Genet. Mol. Res. 15(3):
gmr.15038738
DOI:
10.4238/gmr.15038738
Human Genetics   Research Article

Characterization and development of 56 EST-SSR markers derived from the transcriptome of Odontobutis potamophila

Authors: P.P. Wang, M. Ren, S.Q. Chen, S.W. Yin, C. Zhao, H.Y. Zhang, X.R. Li, Q.Q. Cao and G.Q. Zhou

Expressed sequence tags (ETSs) are the sources of microsatellite development. In this study, we isolated and characterized microsatellite markers for Odontobutis potamophila by using Illumina RNA-sequencing. We sequenced a large number of ESTs and screened 200 potential microsatellites. Consequen.. Read More»

Genet. Mol. Res. 16(2):
gmr16029129
DOI:
10.4238/gmr16029129
Bioinformatics   Research Article

E2F, HSF2, and miR-26 in thyroid carcinoma: bioinformatic analysis of RNA-sequencing data

Authors: J.C. Lu and Y.P. Zhang

In this study, we examined the molecular mechanism of thyroid carcinoma (THCA) using bioinformatics. RNA-sequencing data of THCA (N = 498) and normal thyroid tissue (N = 59) were downloaded from The Cancer Genome Atlas. Next, gene expression levels were calculated using the TCC package and differentially expressed genes (DEGs) were identified using the ed.. Read More»

Genet. Mol. Res. 15(1):
gmr.15017576
DOI:
10.4238/gmr.15017576
Animal Genetics   Research Article

De novo assembly and characterization of skin transcriptome using RNAseq in sheep (Ovis aries)

Authors: Y.J. Yue, J.B. Liu, M. Yang, J.L. Han, T.T. Guo, J. Guo, R.L. Feng and B.H. Yang

Wool is produced via synthetic processes of wool follicles, which are embedded in the skin of sheep. The development of new-generation sequencing and RNA sequencing provides new approaches that may elucidate the molecular regulation mechanism of wool follicle development and facilitate enhanced selection for wool traits through gene-assisted selection or .. Read More»

Genet. Mol. Res. 14(1):
2015.February.13.16
DOI:
10.4238/2015.February.13.16
Human Genetics   Research Article

Low metallothionein 1M expression association with poor hepatocellular carcinoma prognosis after curative resection

Authors: J. Ding and S.C. Lu

According to the typical clinical characteristics of hepatocellular carcinoma (HCC), recurrence and prognosis can differ dramatically between patients. Using RNA sequencing, we identified differential expression of the gene metallothionein 1M (MT1M) by comparing early-recurrence HCC (N = 11), no-recurrence HCC (N = 10), and no.. Read More»

Genet. Mol. Res. 15(4):
gmr.15048735
DOI:
10.4238/gmr.15048735
Plant Genetics   Research Article

Gynophore miRNA analysis at different developmental stages in Arachis duranensis

Authors: Y. Shen, Y.H. Liu, X.J. Zhang, Q. Sha and Z.D. Chen

Peanut is one of the most important oilseed crops in the world that provides a significant amount of lipids and protein for many people. The gynophore plays an important role in gynophore development after fertilization of the peanut ovule. MicroRNAs (miRNAs) play an important role in numerous developmental and physiological p.. Read More»

Genet. Mol. Res. 15(4):
gmr15048691
DOI:
10.4238/gmr15048691
Medical Genetics   Research Article

miRQuest: integration of tools on a Web server for microRNA research

Authors: R.R. Aguiar, L.A. Ambrosio, G. SepĂ?Âșlveda-Hermosilla, V. Maracaja-Coutinho and A.R. Paschoal

This report describes the miRQuest - a novel middleware available in a Web server that allows the end user to do the miRNA research in a user-friendly way. It is known that there are many prediction tools for microRNA (miRNA) identification that use different programming languages and methods to realize this task. It is diffic.. Read More»

Genet. Mol. Res. 15(1):
gmr.15016861
DOI:
10.4238/gmr.15016861