Searching the Resource Information Network
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
RarA is a widely conserved protein proposed to be involved in recombination-dependent replication. We present a cell biological approach to identify functional connections between RarA and other proteins using single molecule tracking. We found that 50% of RarA molecules were static, mostly close to replication forks and likely DNA-bound, while the remaining fraction was highly dynamic throughout the cells. RarA alternated between static and dynamic states. Exposure to H2O2 increased the fraction of dynamic molecules, but not treatment with mitomycin C or with methyl methanesulfonate, which was exacerbated by the absence of RecJ, RecD2, RecS and RecU proteins. The ratio between static and dynamic RarA also changed in replication temperature-sensitive mutants, but in opposite manners, dependent upon inhibition of DnaB or of DnaC (pre)primosomal proteins, revealing an intricate function related to DNA replication restart. RarA likely acts in the context of collapsed replication forks, as well as in conjunction with a network of proteins that affect the activity of the RecA recombinase. Our novel approach reveals intricate interactions of RarA, and is widely applicable for in vivo protein studies, to underpin genetic or biochemical connections, and is especially helpful for investigating proteins whose absence does not lead to any detectable phenotype.
Pubmed ID: 30760776
Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.
Open source Java based image processing software program designed for scientific multidimensional images. ImageJ has been transformed to ImageJ2 application to improve data engine to be sufficient to analyze modern datasets.
View all literature mentionsTHIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone. Software for bacterial microscopy image analysis. It is designed to detect and outline bacterial cells in microscopy images and to analyze fluorescence signal inside them.
View all literature mentions