Genomic Analysis of Arabidopsis Gene Expression in Response to a Systemic Fungicide

Author(s):  
Huey-wen Chuang ◽  
Tzung-Fu Hsieh ◽  
Manuel Duval ◽  
Terry Thomas
2011 ◽  
Vol 10 (1) ◽  
pp. 135 ◽  
Author(s):  
Yusuke Yamamoto ◽  
Yusuke Yoshioka ◽  
Kaho Minoura ◽  
Ryou-u Takahashi ◽  
Fumitaka Takeshita ◽  
...  

2000 ◽  
Vol 21 ◽  
pp. S138 ◽  
Author(s):  
R. Tsou ◽  
J. Cole ◽  
F. F. Isik ◽  
D. M. Heimbach ◽  
L. H. Engrav ◽  
...  

2008 ◽  
Vol 148 (1) ◽  
pp. 436-454 ◽  
Author(s):  
José Trinidad Ascencio-Ibáñez ◽  
Rosangela Sozzani ◽  
Tae-Jin Lee ◽  
Tzu-Ming Chu ◽  
Russell D. Wolfinger ◽  
...  

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 3624-3624
Author(s):  
Abdul Rafeh Naqash ◽  
Arjun Mittra ◽  
Geraldine Helen O'Sullivan Coyne ◽  
Li Chen ◽  
Biswajit Das ◽  
...  

3624 Background: Adavosertib, a first-in-class Wee1 kinase inhibitor, abrogates G2/M cell cycle arrest causing premature mitosis and DNA replication stress, yielding enhanced DNA damage. Here we report on potential biomarkers of response from tumor genomic analysis in patients (pts) with solid tumors treated with adavosertib. Methods: Adavosertib was administered once daily on days 1-5 and 8-12 of a 21-day cycle. RECIST 1.1 was used to evaluate clinical response. Paired tumor biopsies were obtained for RNASeq gene expression profiling (GEP) and for whole-exome sequencing (WES) to evaluate gene mutation and copy number amplification (CNA). Fold change (FC) was calculated to define gene overexpression. To identify the frequency of CNA and mRNA overexpression for the genomic biomarkers of interest, cBioPortal analysis using TCGA and MSK-IMPACT datasets was performed. Differential GEP analysis of tumor and paired normal tissue was performed using the gene expression profiling interactive analysis (GEPIA) interface (Tang et al. 2017). Results: Out of 35 pts evaluable for response, 6 (17%) had partial response (PR; 4 ovarian carcinoma [OVC], 2 endometrial carcinoma [EC]). The median duration of response was 5.2 months (range 4.0-23.1). Eighteen pts (51.4%) had stable disease. Genomic analysis of tumor biopsies was available for 9 pts; 7 of these pts were evaluable for response, and 3 had PR (2 OVC, 1 EC). WES revealed TP53 mutations in 6 pts (66.6%; 3 pts with PR, 2 with progressive disease,1 not evaluable). On WES, tumor Cyclin E1 ( CCNE1) CNA was present in 1 of 3 PR pts while tumors from all 3 PR samples showed relatively high CCNE1 expression by RNAseq (FC = 4.07). In the MSK-IMPACT 2017 dataset, CCNE1 CNA was identified in 1.8% of pts (194 of 10336); of which, OVC (10.3%) and EC (8.7%) had the highest incidence of CCNE1 CNAs. In separate tumor-specific (OVC, EC) TCGA datasets having CCNE1 overexpression and/or CNA, overlap in CCNE1 overexpression with CCNE1 CNA was 35.5% (OVC) and 25.2% (EC). Compared to normal ovarian/ endometrial tissues, GEPIA analysis revealed significantly higher CCNE1 mRNA expression in OVC (FC = 3.5) and EC (FC = 3.8). Conclusions: CCNE1alterations (overexpression and/or CNA) tend to be enriched in OVC and EC with a limited fraction showing both overexpression and CNA. Tumor genomic analysis of additional OVC and EC pts treated with adavosertib is required to determine whether CCNE1 mRNA overexpression, regardless of CCNE1 CNA, is a potential biomarker of response to this drug in these tumor types. Funded by NCI contract No. HHSN261200800001E. Clinical trial information: NCT01748825 .


2006 ◽  
Vol 28 (5) ◽  
pp. 1008-1020 ◽  
Author(s):  
P. Larghero ◽  
R. Vene ◽  
S. Minghelli ◽  
G. Travaini ◽  
M. Morini ◽  
...  

2009 ◽  
Vol 53 (7) ◽  
pp. 2902-2907 ◽  
Author(s):  
Tsuey-Ching Yang ◽  
Yi-Wei Huang ◽  
Rouh-Mei Hu ◽  
Shao-Cheng Huang ◽  
Yu-Tzu Lin

ABSTRACT Two ampD homologues, ampD I and ampD II, of Stenotrophomonas maltophilia have been cloned and analyzed. Comparative genomic analysis revealed that the genomic context of the ampD II genes is quite different, whereas that of the ampD I genes is more conserved in S. maltophilia strains. The ampD system of S. maltophilia is distinct from that of the Enterobacteriaceae and Pseudomonas aeruginosa in three respects. (i) AmpDI of S. maltophilia is not encoded in an ampDE operon, in contrast to what happens in the Enterobacteriaceae and P. aeruginosa. (ii) The AmpD systems of the Enterobacteriaceae and P. aeruginosa are generally involved in the regulation of ampR-linked ampC gene expression, while AmpDI of S. maltophilia is responsible for the regulation of two intrinsic β-lactamase genes, of which the L2 gene, but not the L1 gene, is linked to ampR. (iii) S. maltophilia exhibits a one-step L1 and L2 gene derepression model involving ampD I, distinct from the two- or three-step derepression of the Enterobacteriaceae and P. aeruginosa. Moreover, the ampD I and ampD II genes are constitutively expressed and not regulated by the inducer and AmpR protein, and the expression of ampD II is weaker than that of ampD I. Finally, AmpDII is not associated with the derepression of β-lactamases, and its role in S. maltophilia remains unclear.


2010 ◽  
Vol 53 (3) ◽  
pp. 240-250 ◽  
Author(s):  
Ji-Yeon Lee ◽  
Hyejoon Joo ◽  
Yoon-Hi Choy ◽  
Young-Mie Ha-Lee ◽  
Dong-Hee Lee

Blood ◽  
2011 ◽  
Vol 118 (19) ◽  
pp. 5218-5226 ◽  
Author(s):  
Laura E. Hogan ◽  
Julia A. Meyer ◽  
Jun Yang ◽  
Jinhua Wang ◽  
Nicholas Wong ◽  
...  

Abstract Despite an increase in survival for children with acute lymphoblastic leukemia (ALL), the outcome after relapse is poor. To understand the genetic events that contribute to relapse and chemoresistance and identify novel targets of therapy, 3 high-throughput assays were used to identify genetic and epigenetic changes at relapse. Using matched diagnosis/relapse bone marrow samples from children with relapsed B-precursor ALL, we evaluated gene expression, copy number abnormalities (CNAs), and DNA methylation. Gene expression analysis revealed a signature of differentially expressed genes from diagnosis to relapse that is different for early (< 36 months) and late (≥ 36 months) relapse. CNA analysis discovered CNAs that were shared at diagnosis and relapse and others that were new lesions acquired at relapse. DNA methylation analysis found increased promoter methylation at relapse. There were many genetic alterations that evolved from diagnosis to relapse, and in some cases these genes had previously been associated with chemoresistance. Integration of the results from all 3 platforms identified genes of potential interest, including CDKN2A, COL6A2, PTPRO, and CSMD1. Although our results indicate that a diversity of genetic changes are seen at relapse, integration of gene expression, CNA, and methylation data suggest a possible convergence on the WNT and mitogen-activated protein kinase pathways.


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