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 ~ 3 papers out of 3 papers

P-selectin can support both Th1 and Th2 lymphocyte rolling in the intestinal microvasculature.

  • Claudine S Bonder‎ et al.
  • The American journal of pathology‎
  • 2005‎

Lymphocyte localization to inflammatory sites is paramount for developing and maintaining an immune response. Rolling is the first step in recruitment, but our knowledge of its mechanisms in Th1 and Th2 CD4(+) lymphocytes is incomplete. Whereas initial studies suggested that Th1 but not Th2 lymphocytes used P-selectin for recruitment, more recent studies have proposed that both subtypes bind selectins. We used intravital microscopy to demonstrate in vivo that polarized Th1 and Th2 lymphocytes both use P-selectin to roll and adhere to cytokine [tumor necrosis factor (TNF)-alpha or interleukin (IL)-4]-activated intestinal microvasculature. The majority of Th1 lymphocyte flux in TNF-alpha- and IL-4-treated animals was P-selectin-dependent. Th1 lymphocytes also interacted with E-selectin to control rolling velocity after TNF-alpha stimulation. Th2 lymphocytes, which make IL-4 but not interferon-gamma, bound P-selectin ex vivo, with more than 95% rolling on P-selectin in vivo. Both Th1 and Th2 lymphocytes regulated rolling velocity by interacting with alpha(4)-integrin. Furthermore, in a model of spontaneous intestinal inflammation (ie, IL-10-deficient mice), both Th1 and Th2 lymphocytes rolled, adhered, and ultimately emigrated into the local microenvironment. These results suggest that both Th1 and Th2 lymphocytes use P-selectin in the initial rolling step in vivo in response to a global activator of the vasculature (TNF), a subtle inducer of P-selectin (IL-4), and pathological inflammation (IL-10-deficient mice).


Genome-wide interrogation of Mammalian stem cell fate determinants by nested chromosome deletions.

  • Simon Fortier‎ et al.
  • PLoS genetics‎
  • 2010‎

Understanding the function of important DNA elements in mammalian stem cell genomes would be enhanced by the availability of deletion collections in which segmental haploidies are precisely characterized. Using a modified Cre-loxP-based system, we now report the creation and characterization of a collection of ∼1,300 independent embryonic stem cell (ESC) clones enriched for nested chromosomal deletions. Mapping experiments indicate that this collection spans over 25% of the mouse genome with good representative coverage of protein-coding genes, regulatory RNAs, and other non-coding sequences. This collection of clones was screened for in vitro defects in differentiation of ESC into embryoid bodies (EB). Several putative novel haploinsufficient regions, critical for EB development, were identified. Functional characterization of one of these regions, through BAC complementation, identified the ribosomal gene Rps14 as a novel haploinsufficient determinant of embryoid body formation. This new library of chromosomal deletions in ESC (DelES: http://bioinfo.iric.ca/deles) will serve as a unique resource for elucidation of novel protein-coding and non-coding regulators of ESC activity.


RNA-Seq reveals spliceosome and proteasome genes as most consistent transcripts in human cancer cells.

  • Tara Macrae‎ et al.
  • PloS one‎
  • 2013‎

Accurate quantification of gene expression by qRT-PCR relies on normalization against a consistently expressed control gene. However, control genes in common use often vary greatly between samples, especially in cancer. The advent of Next Generation Sequencing technology offers the possibility to better select control genes with the least cell to cell variability in steady state transcript levels. Here we analyze the transcriptomes of 55 leukemia samples to identify the most consistent genes. This list is enriched for components of the proteasome (ex. PSMA1) and spliceosome (ex. SF3B2), and also includes the translation initiation factor EIF4H, and many heterogeneous nuclear ribonucleoprotein genes (ex. HNRNPL). We have validated the consistency of our new control genes in 1933 cancer and normal tissues using publically available RNA-seq data, and their usefulness in qRT-PCR analysis is clearly demonstrated.


  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: