p63, like its homologue, the tumor suppressor p53, is also able to induce apoptosis in several cancer cell types. p53 family proteins are composed of three characteristic domains which are: 1) an N-terminal transactivation domain (TAD); 2) a central DNA-binding domain (DBD); and 3) an oligomerization domain (OD). In this study, we constructed recombinant adenoviruses containing hybrid genes composed of fragments of p53 and TAp63 genes by connecting coding sequences of their three functional domains. The potency of tumor growth suppression of these hybrid molecules was evaluated using in vitro and in vivo models. One of the p53-p63 hybrid molecules, p63-53O, was observed to be the most potent activator of human cancer cells to apoptosis when compared to the p53, TAp63 or several alternative p53-p63 hybrid molecules. p63-53O hybrid is composed of TAD and DBD of TAp63 and OD of p53. In an effort to identify specific targets regulated by pro-apoptotic hybrid p63-53O, we next performed Affymetrix Genechip analysis and compared expression patterns in a human osteosarcoma cell line Saos-2 transfected separately with Ad-p53, Ad-TAp63 and Ad-p63-53O.
A novel approach to cancer treatment using structural hybrids of the p53 gene family.
Cell line
View SamplesThe p53 family consists of three members, p53, p73, and p63. These proteins share a high degree of amino-acid sequence similarity and major functional domains. The p53 gene, the first member of the family to be identified, is the most frequent target gene for genetic alterations in human cancers. In contrast, p73 and p63 are mainly involved in normal development and differentiation. These differences among the p53 family are likely to depend on activation or repression of different sets of target genes. In this study, to identify targets specifically regulated by p73, we performed microarray analysis and compared expression patterns in a human steosarcoma cell line Saos-2 infected separately with p53 and TAp73beta expressing adenovirus.
p53 family members regulate the expression of the apolipoprotein D gene.
No sample metadata fields
View SamplesAnalysis of gene expressions in mouse splenic dendritic cells (DCs). DCs were purified into two subsets, CD8-positive and -negative ones. DCs were expanded in vivo by injecting Flt3L-producing tumors into the backs of C57BL/6 mice.
A new triggering receptor expressed on myeloid cells (Trem) family member, Trem-like 4, binds to dead cells and is a DNAX activation protein 12-linked marker for subsets of mouse macrophages and dendritic cells.
No sample metadata fields
View SamplesTo compare the gene expression profiles of Macrophage & Dendritic cell Progenitors (MDPs), Common Dendritic cell Progenitors (CDPs), committed dendritic cell precursors (pre-DCs), and Ly6Chi monocytes from mouse bone marrow
Expression of the zinc finger transcription factor zDC (Zbtb46, Btbd4) defines the classical dendritic cell lineage.
Sex, Specimen part
View SamplesClassical dendritic cells (cDCs) process and present antigens to T cells. Under steady-state conditions, antigen presentation by cDCs induces tolerance. In contrast, during infection or inflammation, cDCs become activated, express higher levels of cell surface MHC molecules, and induce strong adaptive immune responses. We recently identified a cDC-restricted zinc finger transcription factor, zDC, that is not expressed by other immune cell populations, including pDCs, monocytes, or macrophages. Here we define the zDC consensus DNA binding motif and the genes regulated by zDC using chromatin immunoprecipitation and deep sequencing. By deleting zDC from the mouse genome, we show that zDC is primarily a negative regulator of cDC gene expression. zDC deficiency alters the cDC subset composition in the spleen in favor of CD8+ DCs, upregulates activation pathways in steady state cDCs including elevated MHC II expression, and enhances cDC production of VEGF leading to increased vascularization of skin-draining lymph nodes. Consistent with these observations, zDC protein expression is rapidly downregulated after TLR ligation. Thus, zDC is a TLR-responsive cDC-specific transcriptional repressor that is in part responsible for preventing cDC maturation in the steady state.
Zinc finger transcription factor zDC is a negative regulator required to prevent activation of classical dendritic cells in the steady state.
Sex, Specimen part
View SamplesVoluntary exercise reduces the risk of cancer and lowers the risk of disease recurrence. Yet the mechanisms for this protection remain to be elucidated. Here we demonstrate that exercise halves tumor growth through an exercise-dependent mobilization and intratumoral infiltration of NK cells in malignant melanoma. Using voluntary wheel running, we show that exercise prior to and during B16 tumor challenge reduced tumor growth by 67%, and this reduction was associated with increased inflammation and immune cell infiltrates, especially NK cells, in the tumors from exercising mice. Depletion of NK cells blunted the exercise-dependent reduction in tumor growth. Moreover, during exercise, NK cells were engaged through an epinephrine-dependent mobilization to the circulation and redistributed to peripheral tissues through an IL-6 dependent mechanism. This study highlights the importance of exercise-dependent immune regulation in the control of malignant melanoma
Voluntary Running Suppresses Tumor Growth through Epinephrine- and IL-6-Dependent NK Cell Mobilization and Redistribution.
Sex, Specimen part
View SamplesThis study examines the global transcriptomic profiles in peripheral blood of Papua New Guinea newborns at birth (D0) comparing with follow up at day 1 (D1), day 3 (D3), or day 7 (D7) post birth. Overall design: Systems biology provides a powerful approach to unravel complex biological processes yet it has not been applied systematically to samples from newborns, a group highly vulnerable to a wide range of diseases. Published methods rely on blood volumes that are not feasible to obtain from newborns. We optimized methods to extract transcriptomic, proteomic, metabolomic, cytokine/chemokine, and single cell immune phenotyping data from <1ml of blood, a volume readily obtained from newborns. Furthermore, indexing to baseline and applying innovative integrative computational methods that address the challenge of few data points with many features enabled identification of robust findings within a readily achievable sample size. This approach uncovered dramatic changes along a stable developmental trajectory over the first week of life. The ability to extract information from 'big data' and draw key insights from such small sample volumes will enable and accelerate characterization of the molecular ontogeny driving this crucial developmental period.
Dynamic molecular changes during the first week of human life follow a robust developmental trajectory.
Sex, Subject
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