Project description:Dr. Jameson's research focus is on development and regulation of lymphocytes, especially T cells. Recent work has suggested that differential glycosylation effects the sensitivity of the T cell receptors and its coreceptors, suggesting that regulation of glycosylation may be a critical element in controlling T cell development, survival and functional activity. Determination of how glycosylation enzymes/substrates change in gene expression during development of mouse CD8 T cells. Highly purified pre-selection CD4+8+ thymocytes (using transgenic/knockout mice in our colony) are compared to mature CD8 T cells from the lymph node. The goal is to build on data suggesting that this developmental step involves regulated expression of sialyltransferases (and/or neuraminidases). Highly purified pre-selection CD4+8+ thymocytes (using transgenic/knockout mice in our colony) are compared to mature CD8 T cells from the lymph node. Pre-selection CD4+8+ (DP) thymocytes were sorted from TCRa-/- thymi. Post-selection (post-positive selection) DP thymocytes came from an OT-I TCR transgenic mouse. Naïve (CD44lo) CD8 T cells from lymph node of OT-I mice were used as naïve CD8 T cells. For activated cells, naïve OT-I T cells were activated for 48 hours in vitro with cognate antigen (SIINFEKL peptide/Kb) (displayed on cell sized latex beads) in the presence of IL-2 and IL-12.
Project description:It is known that ubiquitination is important for T cell receptor (TCR) signaling during T cell activation but the breadth of ubiquitination events triggered during TCR signaling is not completely understood. This dataset utilizes di-glycine remnant profiling combined with mass spectrometry to identify a global landscape of ubiquitination events downstream of the TCR and to quantify changes ubiquitin abundance in response to TCR stimulation. Additionally, whole cell proteomics data were generated to measure protein abundances during TCR stimulation. Mouse primary T cells were isolated, proliferated and either remained resting or stimulated with CD3/CD28 to activate downstream signaling through the TCR and co-stimulatory pathways. Di-glycine remnant profiling and whole cell proteomics was performed on rested cells and cells that had undergone CD3/CD28 TCR stimulation for 4 hours. These data were analyzed to identify the ubiquitination events during TCR activation and to quantify the change in peptide-based ubiquitin abundance and total protein abundance over the course of the 4 hour TCR stimulation. Integration of di-glycine and whole cell proteomics was used to generate protein-specific predictions of whether ubiquitination events downstream of TCR signaling lead to a decrease in associated protein abundance. The analysis of these data suggests that T cell activation leads to an increase in ubiquitination that is not associated with proteasomal or lysosomal degradation.
Project description:Cellular binary fate decisions require the progeny to silence genes associated with the alternative fate. The major subsets of alpha:beta T cells have been extensively studied as a model system for fate decisions. While the transcription factor RUNX3 is required for the initiation of Cd4 silencing in CD8 T cell progenitors, it is not required to maintain the silencing of Cd4 and other helper T lineage genes. The other runt domain containing protein, RUNX1, silences Cd4 in an earlier T cell progenitor, but this silencing is reversed whereas the gene silencing after RUNX3 expression is not reverse. Therefore, we hypothesized that RUNX3 and not RUNX1 recruits other factors that maintains the silencing of helper T lineage genes in CD8 T cells. To this end, we performed a proteomics screen of RUNX1 and RUNX3 to determine candidate silencing factors.
Project description:PURPOSE: To provide a detailed gene expression profile of the normal postnatal mouse cornea. METHODS: Serial analysis of gene expression (SAGE) was performed on postnatal day (PN)9 and adult mouse (6 week) total corneas. The expression of selected genes was analyzed by in situ hybridization. RESULTS: A total of 64,272 PN9 and 62,206 adult tags were sequenced. Mouse corneal transcriptomes are composed of at least 19,544 and 18,509 unique mRNAs, respectively. One third of the unique tags were expressed at both stages, whereas a third was identified exclusively in PN9 or adult corneas. Three hundred thirty-four PN9 and 339 adult tags were enriched more than fivefold over other published nonocular libraries. Abundant transcripts were associated with metabolic functions, redox activities, and barrier integrity. Three members of the Ly-6/uPAR family whose functions are unknown in the cornea constitute more than 1% of the total mRNA. Aquaporin 5, epithelial membrane protein and glutathione-S-transferase (GST) omega-1, and GST alpha-4 mRNAs were preferentially expressed in distinct corneal epithelial layers, providing new markers for stratification. More than 200 tags were differentially expressed, of which 25 mediate transcription. CONCLUSIONS: In addition to providing a detailed profile of expressed genes in the PN9 and mature mouse cornea, the present SAGE data demonstrate dynamic changes in gene expression after eye opening and provide new probes for exploring corneal epithelial cell stratification, development, and function and for exploring the intricate relationship between programmed and environmentally induced gene expression in the cornea. Keywords: other
Project description:Activation of peripheral T lymphocytes in the absence of pathogen induced inflammation or costimulatory signals results in tolerance. Two different tolerance mechanisms have been described, deletion and anergy. We recently demonstrated that an important variable which is responsible for the decision between anergy and deletion for CD8 T cells is the strength of signaling through the T cell receptor(Redmond and Sherman, Immunity 22:275,2005). However, it is not know what the downstream signals are that result in death(deletion) vs. survival(anergy)of the activated cells. Marth and co-workers have previously shown that CD8 T cell apoptosis under conditions similar to those that occur during tolerance in vivo may involve a change in protein glycosylation (Van Dyken et.al., Mol.Cell.Bio.27:1096,2007).In order to assess the role of protein glycosylation in the decision between deletion vs.anergy in immune tolerance, we have prepared purified TCR transgenic CD8 T cells stimulated in vivo using a strong antigenic signal (anergy conditions) or a weak antigenic signal (deletion conditions) with cognate antigen. We wish to assess transcriptional differences in genes involved in protein glycosylation in these 2 cell populations. The control population will be naive trangenic CD8 cells. Dr. Sherman's lab aims to assess the role of protein glycosylation in the decision between deletion vs. anergy in immune tolerance, they have prepared purified TCR transgenic CD8 T cells stimulated in vivo using a strong antigenic signal (anergy conditions) or a weak antigenic signal (deletion conditions) with cognate antigen. Dr. Sherman's lab wishes to assess transcriptional differences in genes involved in protein glycosylation in these 2 cell populations. Then control population will be naïve transgenic CD8 cells. RNA preparations of mouse CD8 T cells from the B10D2 strain with three different conditions (Naïve, Deleted, and Anergic) were sent to the Microarray Core (E). The RNA was amplified, labeled, and hybridized to both the GLYCOv3 and Mouse 430A_2.0 microarrays.
Project description:Activation of peripheral T lymphocytes in the absence of pathogen induced inflammation or costimulatory signals results in tolerance. Two different tolerance mechanisms have been described, deletion and anergy. We recently demonstrated that an important variable which is responsible for the decision between anergy and deletion for CD8 T cells is the strength of signaling through the T cell receptor(Redmond and Sherman, Immunity 22:275,2005). However, it is not know what the downstream signals are that result in death(deletion) vs. survival(anergy)of the activated cells. Marth and co-workers have previously shown that CD8 T cell apoptosis under conditions similar to those that occur during tolerance in vivo may involve a change in protein glycosylation (Van Dyken et.al., Mol.Cell.Bio.27:1096,2007).In order to assess the role of protein glycosylation in the decision between deletion vs. anergy in immune tolerance, we have prepared purified TCR transgenic CD8 T cells stimulated in vivo using a strong antigenic signal (anergy conditions) or a weak antigenic signal (deletion conditions) with cognate antigen. We wish to assess transcriptional differences in genes involved in protein glycosylation in these 2 cell populations. The control population will be naive trangenic CD8 cells. Dr. Sherman's lab aims to assess the role of protein glycosylation in the decision between deletion vs. anergy in immune tolerance, they have prepared purified TCR transgenic CD8 T cells stimulated in vivo using a strong antigenic signal (anergy conditions) or a weak antigenic signal (deletion conditions) with cognate antigen. Dr. Sherman's lab wishes to assess transcriptional differences in genes involved in protein glycosylation in these 2 cell populations. Then control population will be naïve transgenic CD8 cells. RNA preparations of mouse CD8 T cells from the B10D2 strain with three different conditions (Naïve, Deleted, and Anergic) were sent to the Microarray Core (E). The RNA was amplified, labeled, and hybridized to the GLYCOv4 microarrays.
Project description:To investigate the differences in microRNA expression profiles between fibrotic and normal livers, we performed microRNA microarrays for total RNA extracts isolated from mouse livers treated with carbontetrachloride (CCl4) or corn-oil for 10 weeks (n=3/group). MicroRNAs were considered to have significant differences in expression level when the expression difference showed more than two-fold change between the experimental and control groups at p<0.05. We found that 12 miRNAs were differentially expressed in CCl4-induced fibrotic liver.
Project description:A transcriptome study in mouse hematopoietic stem cells was performed using a sensitive SAGE method, in an attempt to detect medium and low abundant transcripts expressed in these cells. Among a total of 31,380 unique transcript, 17,326 (55%) known genes were detected, 14,054 (45%) low-copy transcripts that have no matches to currently known genes. 3,899 (23%) were alternatively spliced transcripts of the known genes and 3,754 (22%) represent anti-sense transcripts from known genes.