Searching across hundreds of databases

Our searching services are busy right now. Your search will reload in five seconds.

X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

This service exclusively searches for literature that cites resources. Please be aware that the total number of searchable documents is limited to those containing RRIDs and does not include all open-access literature.

Search

Type in a keyword to search

On page 1 showing 1 ~ 2 papers out of 2 papers

QTL Mapping and Identification of Candidate Genes for Heat Tolerance at the Flowering Stage in Rice.

  • Lei Chen‎ et al.
  • Frontiers in genetics‎
  • 2020‎

High-temperature stress can cause serious abiotic damage that limits the yield and quality of rice. Heat tolerance (HT) during the flowering stage of rice is a key trait that can guarantee a high and stable yield under heat stress. HT is a complex trait that is regulated by multiple quantitative trait loci (QTLs); however, few underlying genes have been fine mapped and cloned. In this study, the F2:3 population derived from a cross between Huanghuazhan (HHZ), a heat-tolerant cultivar, and 9311, a heat-sensitive variety, was used to map HT QTLs during the flowering stage in rice. A new major QTL, qHTT8, controlling HT was identified on chromosome 8 using the bulked-segregant analysis (BSA)-seq method. The QTL qHTT8 was mapped into the 3,555,000-4,520,000 bp, which had a size of 0.965 Mb. The candidate region of qHTT8 on chromosome 8 contained 65 predicted genes, and 10 putative predicted genes were found to be associated with abiotic stress tolerance. Furthermore, qRT-PCR was performed to analyze the differential expression of these 10 genes between HHZ and 9311 under high temperature conditions. LOC_Os08g07010 and LOC_Os08g07440 were highly induced in HHZ compared with 9311 under heat stress. Orthologous genes of LOC_Os08g07010 and LOC_Os08g07440 in plants played a role in abiotic stress, suggesting that they may be the candidate genes of qHTT8. Generally, the results of this study will prove useful for future efforts to clone qHTT8 and breed heat-tolerant varieties of rice using marker-assisted selection.


Combined Analysis of Surface Protein Profile and microRNA Expression Profile of Exosomes Derived from Brain Microvascular Endothelial Cells in Early Cerebral Ischemia.

  • Dexin Yang‎ et al.
  • ACS omega‎
  • 2021‎

Endothelial cell damage is an important pathological basis for the deterioration of acute ischemia stroke. Our previous studies have been exploring the mechanism of blood-brain barrier (BBB) endothelial cell injury in the early stage of cerebral ischemia. Exosomes act as an important intercellular player in neurovascular communication. However, the characteristic of exosomes derived from BBB endothelial cells in early ischemic stroke is poorly understood. We exposed cultured brain microvascular endothelial cells (bEnd.3) to 3 h oxygen glucose deprivation (OGD) to mimic early cerebral ischemia in vitro and compared miRome and surface protein contents of exosomes derived from bEnd.3 cells by miRNA sequencing and the proximity barcoding assay (PBA). A total of 346 differentially miRNA (159 upregulated and 187 downregulated) were identified via miRNA-Seq in bEnd.3 cells after exposure to OGD for 3 h. Moreover, Gene Ontology (GO) and KEGG pathway analyses showed that cell proliferation- and angiogenesis-associated miRNAs were significantly affected. The abnormal changes in top eight miRNAs were further verified by a quantitative polymerase chain reaction (qPCR). PBA experiments showed that the numbers of exosomes carrying the following proteins increased significantly under ischemia, including bFGF, CD146, EPHA2, ABCB5, and ITGB2. These proteins were related to angiogenesis, cell proliferation, and cell inflammation. The network analysis combining PBA data with miRNA-Seq data showed that 79 miRNAs were related to 24 membrane proteins and predicted that there were surface proteins associated with a variety of miRNA molecules, such as ITGA9, XIAP, ADAM1, ITGA2, ITGA3, PDPN, and ITGB1. Meanwhile, there were miRNAs related to various surface proteins including miR-410-3p, miR-378b, and miR-1960. Taken together, our data demonstrated for the first time the changes of exosomal miRNAs and surface protein profiles derived from ischemic microvascular endothelial cells, which may provide new therapeutic targets for BBB protection in ischemic stroke.


  1. SciCrunch.org Resources

    Welcome to the FDI Lab - SciCrunch.org Resources search. From here you can search through a compilation of resources used by FDI Lab - SciCrunch.org and see how data is organized within our community.

  2. Navigation

    You are currently on the Community Resources tab looking through categories and sources that FDI Lab - SciCrunch.org has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.

  3. Logging in and Registering

    If you have an account on FDI Lab - SciCrunch.org then you can log in from here to get additional features in FDI Lab - SciCrunch.org such as Collections, Saved Searches, and managing Resources.

  4. Searching

    Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:

    1. Use quotes around phrases you want to match exactly
    2. You can manually AND and OR terms to change how we search between words
    3. You can add "-" to terms to make sure no results return with that term in them (ex. Cerebellum -CA1)
    4. You can add "+" to terms to require they be in the data
    5. Using autocomplete specifies which branch of our semantics you with to search and can help refine your search
  5. Save Your Search

    You can save any searches you perform for quick access to later from here.

  6. Query Expansion

    We recognized your search term and included synonyms and inferred terms along side your term to help get the data you are looking for.

  7. Collections

    If you are logged into FDI Lab - SciCrunch.org you can add data records to your collections to create custom spreadsheets across multiple sources of data.

  8. Facets

    Here are the facets that you can filter your papers by.

  9. Options

    From here we'll present any options for the literature, such as exporting your current results.

  10. Further Questions

    If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.

Publications Per Year

X

Year:

Count: