Transcriptional profiling of two isogenic models of transformation identifies a gene signature linking cancer with inflammatory and metabolic diseases. In accord with this common transcriptional ...program, many drugs used for treatment of diabetes and cardiovascular diseases inhibit transformation and tumor growth. Unexpectedly, lipid metabolism genes are important for transformation and are upregulated in cancer tissues. As in atherosclerosis, oxidized LDL and its receptor OLR1 activate the inflammatory pathway through NF-κB, leading to transformation. OLR1 is important for maintaining the transformed state in developmentally diverse cancer cell lines and for tumor growth, suggesting a molecular connection between cancer and atherosclerosis. We suggest that the interplay between this common transcriptional program and cell-type-specific factors gives rise to phenotypically disparate human diseases.
► A transcriptional signature links cancer to inflammatory and metabolic diseases ► Drugs used to treat diabetes and cardiovascular disease inhibit tumor growth ► Lipid metabolism genes and oxidized LDL receptor (OLR1) have oncogenic functions ► OLR1 activation of the inflammatory pathway connects cancer with atherosclerosis
We present Model-based AnalysEs of Transcriptome and RegulOme (MAESTRO), a comprehensive open-source computational workflow ( http://github.com/liulab-dfci/MAESTRO ) for the integrative analyses of ...single-cell RNA-seq (scRNA-seq) and ATAC-seq (scATAC-seq) data from multiple platforms. MAESTRO provides functions for pre-processing, alignment, quality control, expression and chromatin accessibility quantification, clustering, differential analysis, and annotation. By modeling gene regulatory potential from chromatin accessibilities at the single-cell level, MAESTRO outperforms the existing methods for integrating the cell clusters between scRNA-seq and scATAC-seq. Furthermore, MAESTRO supports automatic cell-type annotation using predefined cell type marker genes and identifies driver regulators from differential scRNA-seq genes and scATAC-seq peaks.
Mounting evidence suggests that long noncoding RNAs (lncRNAs) can function as microRNA sponges and compete for microRNA binding to protein-coding transcripts. However, the prevalence, functional ...significance and targets of lncRNA-mediated sponge regulation of cancer are mostly unknown. Here we identify a lncRNA-mediated sponge regulatory network that affects the expression of many protein-coding prostate cancer driver genes, by integrating analysis of sequence features and gene expression profiles of both lncRNAs and protein-coding genes in tumours. We confirm the tumour-suppressive function of two lncRNAs (TUG1 and CTB-89H12.4) and their regulation of PTEN expression in prostate cancer. Surprisingly, one of the two lncRNAs, TUG1, was previously known for its function in polycomb repressive complex 2 (PRC2)-mediated transcriptional regulation, suggesting its sub-cellular localization-dependent function. Our findings not only suggest an important role of lncRNA-mediated sponge regulation in cancer, but also underscore the critical influence of cytoplasmic localization on the efficacy of a sponge lncRNA.
Variation in patterns of methylations of histone tails reflects and modulates chromatin structure and function. To provide a framework for the analysis of chromatin function in Caenorhabditis ...elegans, we generated a genome-wide map of histone H3 tail methylations. We find that C. elegans genes show distributions of histone modifications that are similar to those of other organisms, with H3K4me3 near transcription start sites, H3K36me3 in the body of genes and H3K9me3 enriched on silent genes. We also observe a novel pattern: exons are preferentially marked with H3K36me3 relative to introns. H3K36me3 exon marking is dependent on transcription and is found at lower levels in alternatively spliced exons, supporting a splicing-related marking mechanism. We further show that the difference in H3K36me3 marking between exons and introns is evolutionarily conserved in human and mouse. We propose that H3K36me3 exon marking in chromatin provides a dynamic link between transcription and splicing.
Celotno besedilo
Dostopno za:
DOBA, IJS, IZUM, KILJ, NUK, PILJ, PNG, SAZU, UILJ, UKNU, UL, UM, UPUK
Chromatin immunoprecipitation followed by cDNA microarray hybridization (ChIP-array) has become a popular procedure for studying genome-wide protein-DNA interactions and transcription regulation. ...However, it can only map the probable protein-DNA interaction loci within 1-2 kilobases resolution. To pinpoint interaction sites down to the base-pair level, we introduce a computational method, Motif Discovery scan (MDscan), that examines the ChIP-array-selected sequences and searches for DNA sequence motifs representing the protein-DNA interaction sites. MDscan combines the advantages of two widely adopted motif search strategies, word enumeration and position-specific weight matrix updating, and incorporates the ChIP-array ranking information to accelerate searches and enhance their success rates. MDscan correctly identified all the experimentally verified motifs from published ChIP-array experiments in yeast (STE12, GAL4, RAP1, SCB, MCB, MCM1, SFF, and SWI5), and predicted two motif patterns for the differential binding of Rap1 protein in telomere regions. In our studies, the method was faster and more accurate than several established motif-finding algorithms. MDscan can be used to find DNA motifs not only in ChIP-array experiments but also in other experiments in which a subgroup of the sequences can be inferred to contain relatively abundant motif sites. The MDscan web server can be accessed at http://BioProspector.stanford.edu/MDscan/.
Celotno besedilo
Dostopno za:
DOBA, IJS, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
The tumour stroma regulates nearly all stages of carcinogenesis. Stromal heterogeneity in human triple‐negative breast cancers (TNBCs) remains poorly understood, limiting the development of ...stromal‐targeted therapies. Single‐cell RNA sequencing of five TNBCs revealed two cancer‐associated fibroblast (CAF) and two perivascular‐like (PVL) subpopulations. CAFs clustered into two states: the first with features of myofibroblasts and the second characterised by high expression of growth factors and immunomodulatory molecules. PVL cells clustered into two states consistent with a differentiated and immature phenotype. We showed that these stromal states have distinct morphologies, spatial relationships and functional properties in regulating the extracellular matrix. Using cell signalling predictions, we provide evidence that stromal‐immune crosstalk acts via a diverse array of immunoregulatory molecules. Importantly, the investigation of gene signatures from inflammatory‐CAFs and differentiated‐PVL cells in independent TNBC patient cohorts revealed strong associations with cytotoxic T‐cell dysfunction and exclusion, respectively. Such insights present promising candidates to further investigate for new therapeutic strategies in the treatment of TNBCs.
Synopsis
This single‐cell gene expression resource deciphers the composition of triple‐negative breast cancer (TNBC) stroma, revealing distinct subclasses of cancer‐associated fibroblasts (CAFs) and perivascular‐like (PVL) cells. These signatures are informative on tumour aetiology and potential strategies for development of targeted therapies.
Single‐cell analysis of primary TNBC highlights clusters of stromal and immune cell types.
TNBC stroma is comprised of myofibroblast‐like CAFs, inflammatory‐like CAFs, differentiated PVL and immature PVL cells.
Stromal subclasses differ in surface markers, spatial localisation in tissue, ECM functions, and predicted cellular crosstalk with immune cells.
Inflammatory‐like CAF and differentiated PVL cells are associated with cytotoxic T‐cell dysfunction and exclusion in independent TNBC‐patient cohorts.
Single‐cell profiling of primary breast cancer provides unprecedented insights into cell‐type heterogeneity within the tumor microenvironment.
Tumor-infiltrating B cells are an important component in the microenvironment but have unclear anti-tumor effects. We enhanced our previous computational algorithm TRUST to extract the B cell ...immunoglobulin hypervariable regions from bulk tumor RNA-sequencing data. TRUST assembled more than 30 million complementarity-determining region 3 sequences of the B cell heavy chain (IgH) from The Cancer Genome Atlas. Widespread B cell clonal expansions and immunoglobulin subclass switch events were observed in diverse human cancers. Prevalent somatic copy number alterations in the MICA and MICB genes related to antibody-dependent cell-mediated cytotoxicity were identified in tumors with elevated B cell activity. The IgG3-1 subclass switch interacts with B cell-receptor affinity maturation and defects in the antibody-dependent cell-mediated cytotoxicity pathway. Comprehensive pancancer analyses of tumor-infiltrating B cell-receptor repertoires identified novel tumor immune evasion mechanisms through genetic alterations. The IgH sequences identified here are potentially useful resources for future development of immunotherapies.
Activation-induced cytidine deaminase (AID) initiates both somatic hypermutation (SHM) for antibody affinity maturation and DNA breakage for antibody class switch recombination (CSR) via ...transcription-dependent cytidine deamination of single-stranded DNA targets. Though largely specific for immunoglobulin genes, AID also acts on a limited set of off-targets, generating oncogenic translocations and mutations that contribute to B cell lymphoma. How AID is recruited to off-targets has been a long-standing mystery. Based on deep GRO-seq studies of mouse and human B lineage cells activated for CSR or SHM, we report that most robust AID off-target translocations occur within highly focal regions of target genes in which sense and antisense transcription converge. Moreover, we found that such AID-targeting “convergent” transcription arises from antisense transcription that emanates from super-enhancers within sense transcribed gene bodies. Our findings provide an explanation for AID off-targeting to a small subset of mostly lineage-specific genes in activated B cells.
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•AID off-target activity is associated with sense/antisense convergent transcription•AID off-targeting occurs within intragenic SEs in mouse and human B lineage cells•Strongly convergently transcribed intragenic SEs are predominant AID off-targets•Ectopically expressed AID in fibroblasts targets convergently transcribed SEs
Activation-induced cytidine deaminase (AID) off-target activities are frequently promoted by “convergent” sense/antisense transcription that emanates from super-enhancers within transcribed gene bodies, suggesting that super-enhancers may target oncogenes for translocations in cancer.
Epigenetic regulators represent a promising new class of therapeutic targets for cancer. Enhancer of zeste homolog 2 (EZH2), a subunit of Polycomb repressive complex 2 (PRC2), silences gene ...expression via its histone methyltransferase activity. We found that the oncogenic function of EZH2 in cells of castration-resistant prostate cancer is independent of its role as a transcriptional repressor. Instead, it involves the ability of EZH2 to act as a coactivator for critical transcription factors including the androgen receptor. This functional switch is dependent on phosphorylation of EZH2 and requires an intact methyltransferase domain. Hence, targeting the non-PRC2 function of EZH2 may have therapeutic efficacy for treating metastatic, hormone-refractory prostate cancer.
Adaptation to hypoxia is mediated through a coordinated transcriptional response driven largely by hypoxia-inducible factor 1 (HIF-1). We used ChIP-chip and gene expression profiling to identify ...direct targets of HIF-1 transactivation on a genome-wide scale. Several hundred direct HIF-1 targets were identified and, as expected, were highly enriched for proteins that facilitate metabolic adaptation to hypoxia. Surprisingly, there was also striking enrichment for the family of 2-oxoglutarate dioxygenases, including the jumonji-domain histone demethylases. We demonstrate that these histone demethylases are direct HIF targets, and their up-regulation helps maintain epigenetic homeostasis under hypoxic conditions. These results suggest that the coordinated increase in expression of several oxygen-dependent enzymes by HIF may help compensate for decreased levels of oxygen under conditions of cellular hypoxia.
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