Research Article

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03/09/2011
Gene expression; In situ hybridization; Planarian; Regeneration; STAG

We examined the spatial and temporal expression of the planarian Dugesia japonica STAG-related gene (DjStag), in both intact and regenerating planarians, by whole-mount in situ hybridization and relative quantitative real-time PCR. The first localized transcripts of DjStag were detected in the blastemas three days after amputation, in all regenerates including those ... more

Z.Q. Yuan; B.S. Zhao; J.Y. Zhang
12/08/2011
Drought stress tolerance; Gene expression; Real-time PCR; Soybean; Transcription factor

To gain insight into stress-responsive gene regulation in soybean plants, we identified consensus sequences that could categorize the transcription factors MYBJ7, BZIP50, C2H2, and NAC2 as members of the gene families myb, bzip, c2h2, and nac, respectively. We also investigated the evolutionary relationship of these transcription factors and analyzed ... more

S.S. Pereira; F.C.M. Guimarães; J.F.C. Carvalho; R. Stolf-Moreira; M.C.N. Oliveira; A.A.P. Rolla; J.R.B. Farias; N. Neumaier; A.L. Nepomuceno
07/24/2013
cDNA-AFLP; Floral bud abortion; Gene expression; Radish; Real-time PCR

Radish floral bud abortion (FBA) is an adverse biological phenomenon that occurs during reproduction. Although FBA occurs frequently, its mechanism remains unknown. To elucidate the molecular mechanism underlying FBA, we detected gene expression differences between aborted and normal buds of radish using cDNA-amplified fragment length polymorphism (AFLP) and real-time polymerase chain ... more

J. Zhang; X.L. Sun; L.G. Zhang; M.X. Hui; M.K. Zhang
06/28/2013
BPI gene; Gene expression; Pig; Real-time PCR

We compared and analyzed the expression of the BPI gene of Sutai piglets ranging from newborn to post-weaning days 8, 18, 30, and 35 by the real-time PCR method, in order to determine if it is involved in protection against disease caused by ETEC F18. There was a significant difference between 18 and 35-day expres­sion in the jejunum. There were also significant differences ... more

J. Zhu; C. Zi; Z.C. Wu; L. Liu; X.R. Zheng; X.M. Su; G.Q. Zhu; X.G. Huang; S.L. Wu; W.B. Bao
08/28/2014
Fatty acid desaturase; Gene expression; Polyunsaturated fatty acids (PUFAs); Real-time PCR; Safflower

Three ω-3 fatty acid desaturase genes (CtFAD3, CtFAD7, and CtFAD8) were isolated from safflower (Carthamus tinctorius L.). Transcript analysis showed that the highest transcript levels were detected for CtFAD3 and the low transcript levels were detected for CtFAD7 and CtFAD8 in flowers. This result indicates that CtFAD3 ... more

L.L. Guan; W. Wu; B. Hu; D. Li; J.W. Chen; K. Hou; L. Wang
03/31/2003
Double-stranded RNA (dsRNA); Gene expression; RNA interference; Trypanosoma

Mechanisms controlling gene expression in trypanosomatids depend on several layers of regulation, with most regulatory pathways acting at a post-transcriptional level. Consequently, these parasites can follow the rapid changes associated with transitions between the insect vector and the mammalian host, with instant reprogramming of genetic expression. Using primarily Trypanosoma ... more

S.M.R. Teixeira; W.D. da Rocha
10/04/2007
Co-regulation; Escherichia coli; Gene expression; Microarray analysis; Partial correlation; Transcriptional regulation

Transcriptional control is an essential regulatory mechanism employed by bacteria. Much about transcriptional regulation remains to be discovered, even for the most widely studied bacterium, Escherichia coli. In the present study, we made a genome-wide low-order partial correlation analysis of E. coli microarray data with the purpose of recovering regulatory ... more

D.F.T. Veiga; F.F.R. Vicente; M. Grivet; A. de la Fuente; A.T.R. Vasconcelos
03/31/2006
Bayesian bootstrap; Bioinformatics; Gene expression; Microarray; Statistics; Web tool

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 model-free Bayesian approach in a user-friendly and freely available web-based tool called BayBoots. In spite of a common misunderstanding that Bayesian and model-free approaches are incompatible, ... more

R.Z.N. Vêncio; D.F.C. Patrão; C.S. Baptista; C.A.B. Pereira; B. Zingales
09/30/2005
Feature selection; Gene expression; Genetic algorithms; Microarrays; Multi-class SVM

Microarrays are a new technology that allows biologists to better understand the interactions between diverse pathologic state at the gene level. However, the amount of data generated by these tools becomes problematic, even though data are supposed to be automatically analyzed (e.g., for diagnostic purposes). The issue becomes more complex when the expression data involve multiple ... more

B.Feres de Souza; A.Ponce de L. de Carvalho
10/14/2008
alpha-major regulatory element; Gene expression; globin genes; Hemoglobin; HS-40; thalassemia

Hemoglobin and globin genes are important models for studying protein and gene structure, function and regulation. We reviewed the main aspects of regulation of human α-globin synthesis, encoded by two adjacent genes (α2 and α1) clustered on chromosome 16. Their expression is controlled mainly by a regulatory element located 40 kb upstream on the same chromosome, the α- ... more

D.M. Ribeiro; M.F. Sonati

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