Search bioRxiv⌕ Search

Biology subjects

Issa, J.-P. J.

Publications and source records attributed to Issa, J.-P. J..

4 recordsLinked to original sources

TEDEdb: a large-scale resource and multi-cohort analysis of transposable element differential expression in cancer

The human genome consists of nearly 50% repetitive DNA, referred to for decades as "junk DNA". These repetitive sequences, usually under the strict control of epigenetic silencing, have been observed to be aberrantly expressed in cancer. Some of these expressed sequences, e.g., transposable elements (TEs), can induce innate immune responses when de-repressed following treatment with epigenetic therapies. As a result, epigenetic therapy has been suggested to augment cancer therapies. TEs are traditionally ignored in most RNA-seq studies and their expression is often excluded from publicly available data sources. Thus, the vast amount of publicly available RNA-seq data is an untapped resource for exploring the role of TE expression in cancer and cancer treatment. Here, we present a uniform re-analysis of over 7,000 RNA-seq samples, encompassing more than 2,000 differential expression experiments across 220 cancer cell lines and 700 drug treatments. We observed that TE expression is more prone to batch effects than gene expression alone, necessitating the use of meta-analysis techniques to probe the dataset for global trends. We confirm that DNMTi and HDACis are powerful inducers of TEs. We also show that non-epigenetic compounds such as CDK and topoisomerase inhibitors can also induce robust up-regulation of transposable elements and confirm that this TE induction is consistent with viral mimicry response. We make all of the reprocessed data, web application, and database publicly available at: https://dataexplorer.coriell.org/TEDEdb/

cancer biology↗

Microbiota Accelerates Age-Related CpG island Methylation in Colonic Mucosa

DNA methylation is an epigenetic mark that is altered in cancer and aging tissues. The effects of extrinsic factors on DNA methylation remain incompletely understood. Microbial dysbiosis is a hallmark of colorectal cancer, and infections have been linked to aberrant DNA methylation in cancers of the GI tract. To determine the microbiotas impact on DNA methylation, we studied the methylomes of colorectal mucosa in germ-free (no microbiota) and specific-pathogen-free (controlled microbiota) mice, as well as in Il-10 KO mice (Il10-/-) which are prone to inflammation and tumorigenesis in the presence of microbiota. The presence of microbiota was associated with changes in 5% of the methylome and Il10-/- mice showed alterations in 4.1% of the methylome. These changes were slightly more often hypo than hypermethylation and affected preferentially CpG sites located in gene bodies and intergenic regions. Mice with both Il-10 KO and microbiota showed much more pronounced alterations, affecting 18% of the methylome. When looking specifically at CpG island methylation alterations, a hallmark of aging and cancer, 0.4% were changed by the microbiota, 0.4% were changed by Il10-/-, while 4% were changed by both simultaneously. These effects are comparable to what is typically seen when comparing colon cancer to normal. We next compared these methylation changes to those seen in aging, and after exposure to the colon carcinogen Azoxymethane (AOM). Aging was associated with alterations in 18% of the methylome, and aging changes were accelerated in the Il10-/- /SPF mice. By contrast, AOM induced profound hypomethylation that was distinct from the effects of aging or of the microbiota. CpG sites modified by the microbiota were over-represented among DNA methylation changes in colorectal cancer. Thus, the microbiota affects the DNA methylome of colorectal mucosa in patterns reminiscent of what is observed in aging and in colorectal cancer.

microbiology↗

Comparative Modeling of CDK9 Inhibitors to Explore Selectivity and Structure-Activity Relationships

Cyclin-dependent kinase 9 (CDK9) plays a key role in transcription elongation, and more recently it was also identified as the molecular target of a series of diaminothiazole compounds that reverse epigenetic silencing in a phenotypic assay. To better understand the structural basis underlying these compounds activity and selectivity, we developed a comparative modeling approach that we describe herein. Briefly, this approach draws upon the strong structural conservation across the active conformation of all protein kinases, and their shared pattern of interactions with Type I inhibitors. Because of this, we hypothesized that the large collection of inhibitor/kinase structures available in the Protein Data Bank (PDB) would enable accurate modeling of this diaminothiazole series in complex with each CDK family member. We apply this new comparative modeling pipeline to build each of these structural models, and then demonstrate that these models provide retrospective rationale for the structure-activity relationships that ultimately guided optimization to the lead diaminothiazole compound MC180295 (14e). We then solved the crystal structure of the 14e/CDK9 complex, and found the resulting structure to be in excellent agreement with our corresponding comparative model. Finally, inspired by these models, we demonstrate how structural changes to 14e can be used to rationally tune this compounds selectivity profile. With the emergence of CDK9 as a promising target for therapeutic intervention in cancer, we anticipate that comparative modeling can provide a valuable tool to guide optimization of potency and selectivity of new inhibitors targeting this kinase.

cancer biology↗

Engineering of Chimeric Antigen Receptor T Cells with integrin αEβ7 Results in Augmented Therapeutic Efficacy against E-cadherin positive tumor

Integrin E{beta}7 (CD103) can interact with E-cadherin and promote T cell retention in epithelial tissue. However, whether the expression of CD103 on chimeric antigen receptor (CAR)-T cells may augment T cell anti-tumor activity remains unknown. Using a preclinical model, we demonstrate that CD103 engineering of human CAR-T cells significantly improves their therapeutic effects on eliminating pre-established E-cadherin expressing tumor cells in immune deficient NOD.scid.Il2R{gamma}cnull (NSG) mice. Human T cells that were engineered with CAR containing 4-1BB and CD3zeta intracellular signaling domains (named BBz) expressed reduced level of CD103 in mice model. Ex vivo assays confirmed the effect of 4-1BB on repressing CD103 expression in CAR-T cells. On the other hand, we generated CD103 expressing CAR-T cells by introducing the E gene into the CAR structure (named CD103-BBz CAR-T cells). As compared to BBz CAR-T cells, CD103-BBz CAR-T cells produced higher levels of IL-2 and underwent greater expansion in cultures and acquired greater capacity to control the growth and metastasis of E-cadherin expressing lymphoma cells in NSG mice. This effect of CD103-BBz CAR-T cells was associated with their increased capacity to infiltrate into the tumor and persist in vivo, leading to significantly improved overall survival of lymphoma mice. Our findings suggest that engineering tumor-reactive T cells with CD103 may represent a novel strategy to improve adoptive T cells anti-tumor efficacy, and this strategy may have broad implication in the epithelial solid tumor treatment.\n\nHighlightsO_LICAR-T cells with 4-1BB costimulatory domain express reduced level of CD103\nC_LIO_LI4-1BB signaling antagonist TGF-{beta}1 induced CD103 expression\nC_LIO_LIEctopically expression of CD103 on CAR-T cells enhanced their anti-E-cadherin positive tumor capacity\nC_LI\n\n\n\nO_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=83 SRC=\"FIGDIR/small/727446v1_ufig1.gif\" ALT=\"Figure 1\">\nView larger version (19K):\norg.highwire.dtl.DTLVardef@d32377org.highwire.dtl.DTLVardef@1bd841corg.highwire.dtl.DTLVardef@12c5c98org.highwire.dtl.DTLVardef@173382d_HPS_FORMAT_FIGEXP M_FIG Graphical Abstract:\n\nGraphic Summary: The co-stimulatory molecule 4-1BB within the CAR protein potently suppresses CD103 expression. Engineering CAR-T cells with CD103 significantly enhances their capacity to proliferate and infiltrate into the solid tumor, leading to augmented anti-tumor immunity.\n\nC_FIG

immunology↗