More than 92 genes encoding MYB transcription factors of the R2R3 class have been described in Arabidopsis. The functions of a few members of this large gene family have been described, indicating important roles for R2R3 MYB transcription factors in the regulation of secondary metabolism, cell shape, and disease resistance, and in responses to growth regulators and stresses. For the majority of the genes in this family, however, little functional information is available. As the first step to characterizing these genes functionally, the sequences of >90 family members, and the map positions and expression profiles of >60 members, have been determined previously. An important second step in the functional analysis of the MYB family, through a process of reverse genetics that entails the isolation of insertion mutants, is described here. For this purpose, a variety of gene disruption resources has been used, including T-DNA-insertion populations and three distinct populations that harbor transposon insertions. We report the isolation of 47 insertions into 36 distinct MYB genes by screening a total of 73 genes. These defined insertion lines will provide the foundation for subsequent detailed functional analyses for the assignment of specific functions to individual members of the R2R3 MYB gene family.
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http://dx.doi.org/10.1105/tpc.11.10.1827 | DOI Listing |
Onco Targets Ther
January 2025
Department of Pharmacology, adMare BioInnovations, Montréal, Quebec, H4S 1Z9, Canada.
The gene is nearly ubiquitously subjected to activating mutation in pancreatic adenocarcinomas (PDAC), occurring at a frequency of over 90% in tumors. Mutant KRAS drives sustained signaling through the MAPK pathway to affect frequently disrupted cancer phenotypes including transcription, proliferation and cell survival. Recent research has shown that PDAC tumor growth and survival required a guanine nucleotide exchange factor for RAS homolog family member A (RhoA) called GEF-H1.
View Article and Find Full Text PDFEur Heart J Open
January 2025
Department of Medicine, Cardiovascular Precision Medicine Center, Hadassah Hebrew University Medical Center, P.O. Box 12000, 9112001 Jerusalem, Israel.
Aims: Mitral valve prolapse (MVP) is a common valvular disorder associated with significant morbidity and mortality, with a strong genetic basis. This study aimed to identify a mutation in a family with MVP and to characterize the valve phenotype in LTBP2 knockout (KO) mice.
Methods And Results: Exome sequencing and segregation analysis were performed on a large family with MVP.
Int J Genomics
January 2025
Department of Medicine, Xinyang Vocational and Technical College, Xinyang, Henan, China.
Recently, exportin gene family members have been demonstrated to play essential roles in tumor progression. However, research on the clinical significance of exportin gene family members is limited in clear cell renal cell carcinoma (ccRCC). Pan-cancer data, ccRCC multiomics data, and single-cell sequence were included to analyze the differences in DNA methylation modification, single nucleotide variations (SNVs), copy number variations (CNVs), and expression levels of exportin gene family members.
View Article and Find Full Text PDFFront Microbiol
January 2025
Department of Biochemistry, University of Cambridge, Cambridge, United Kingdom.
The opportunistic pathogen sp. ATCC 39006 (S39006) is a rod-shaped, motile, Gram-negative bacterium that produces a 𝛽-lactam antibiotic (a carbapenem) and a bioactive red-pigmented tripyrrole antibiotic, prodigiosin. It is also the only known enterobacterium that naturally produces intracellular gas vesicles (GVs), enabling cells to float in static water columns.
View Article and Find Full Text PDFOpen Life Sci
January 2025
Department of Biology, Pace University, One Pace Plaza, 3rd Floor, New York, 10038, NY, United States of America.
Rafflesiaceae is a family of endangered plants whose members are solely parasitic to the tropical grape vine (Vitaceae). Currently, the genetics of their crosstalk with the host remains unexplored. In this study, we use homology-based approaches to characterize micro-RNAs (miRNAs) expressed by and from published omics data.
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