Faculty Bibliography

BACKGROUND: Non-coding RNAs have been drawing increasing attention in recent years as functional data suggest that they play important roles in key cellular processes. N-BLR is a primate-specific long non-coding RNA that modulates the epithelial-to-mesenchymal transition, facilitates cell migration, and increases colorectal cancer invasion. RESULTS: We performed multivariate analyses of data from two independent cohorts of colorectal cancer patients and show that the abundance of N-BLR is associated with tumor stage, invasion potential, and overall patient survival. Through in vitro and in vivo experiments we found that N-BLR facilitates migration primarily via crosstalk with E-cadherin and ZEB1. We showed that this crosstalk is mediated by a pyknon, a short ~20 nucleotide-long DNA motif contained in the N-BLR transcript and is targeted by members of the miR-200 family. In light of these findings, we used a microarray to investigate the expression patterns of other pyknon-containing genomic loci. We found multiple such loci that are differentially transcribed between healthy and diseased tissues in colorectal cancer and chronic lymphocytic leukemia. Moreover, we identified several new loci whose expression correlates with the colorectal cancer patients' overall survival. CONCLUSIONS: The primate-specific N-BLR is a novel molecular contributor to the complex mechanisms that underlie metastasis in colorectal cancer and a potential novel biomarker for this disease. The presence of a functional pyknon within N-BLR and the related finding that many more pyknon-containing genomic loci in the human genome exhibit tissue-specific and disease-specific expression suggests the possibility of an alternative class of biomarkers and therapeutic targets that are primate-specific.

BACKGROUND: Chromatin conformation capture techniques have evolved rapidly over the last few years and have provided new insights into genome organization at an unprecedented resolution. Analysis of Hi-C data is complex and computationally intensive involving multiple tasks and requiring robust quality assessment. This has led to the development of several tools and methods for processing Hi-C data. However, most of the existing tools do not cover all aspects of the analysis and only offer few quality assessment options. Additionally, availability of a multitude of tools makes scientists wonder how these tools and associated parameters can be optimally used, and how potential discrepancies can be interpreted and resolved. Most importantly, investigators need to be ensured that slight changes in parameters and/or methods do not affect the conclusions of their studies. RESULTS: To address these issues (compare, explore and reproduce), we introduce HiC-bench, a configurable computational platform for comprehensive and reproducible analysis of Hi-C sequencing data. HiC-bench performs all common Hi-C analysis tasks, such as alignment, filtering, contact matrix generation and normalization, identification of topological domains, scoring and annotation of specific interactions using both published tools and our own. We have also embedded various tasks that perform quality assessment and visualization. HiC-bench is implemented as a data flow platform with an emphasis on analysis reproducibility. Additionally, the user can readily perform parameter exploration and comparison of different tools in a combinatorial manner that takes into account all desired parameter settings in each pipeline task. This unique feature facilitates the design and execution of complex benchmark studies that may involve combinations of multiple tool/parameter choices in each step of the analysis. To demonstrate the usefulness of our platform, we performed a comprehensive benchmark of existing and new TAD callers exploring different matrix correction methods, parameter settings and sequencing depths. Users can extend our pipeline by adding more tools as they become available. CONCLUSIONS: HiC-bench consists an easy-to-use and extensible platform for comprehensive analysis of Hi-C datasets. We expect that it will facilitate current analyses and help scientists formulate and test new hypotheses in the field of three-dimensional genome organization.

Pluripotent embryonic stem cells (ESCs) self-renew or differentiate into all tissues of the developing embryo and cell-specification factors are necessary to balance gene expression. Here we delineate the function of the PHD-finger protein 5a (Phf5a) in ESC self-renewal and ascribe its role in regulating pluripotency, cellular reprogramming and myoblast specification. We demonstrate that Phf5a is essential for maintaining pluripotency, since depleted ESCs exhibit hallmarks of differentiation. Mechanistically, we attribute Phf5a function to the stabilization of the Paf1 transcriptional complex and control of RNA polymerase II elongation on pluripotency loci. Apart from an ESC-specific factor, we demonstrate that Phf5a controls differentiation of adult myoblasts. Our findings suggest a potent mode of regulation by Phf5a in stem cells, which directs their transcriptional programme, ultimately regulating maintenance of pluripotency and cellular reprogramming.

Successful pregnancy requires delicate control over the immunological and inflammatory properties of the maternal/fetal interface. For example, inflammation within the pregnant uterus is likely to be a major instigator of preterm birth, while inadequate immune surveillance of the maternal/fetal interface likely increases the risk of fetal and placental infection. We will discuss our recent work on the molecular and cellular pathways that regulate immune cell trafficking and inflammation within the pregnant mouse uterus. This work points to the seminal importance of the decidua, i.e. the specialized endometrial stromal tissue that encases the implanted embryo, and in particular an epigenetic program active in decidual stromal cells that we previously found transcriptionally silences the expression of chemokine genes that control effector T cell trafficking. Our recent results suggest that this program also silences a multitude of other important genes, including ones whose misexpression might be expected to generate uterine inflammation and lead to a variety of pregnancy complications including preterm birth

Cell-specific gene expression programs rely on the orchestrated function of transcription factors, co-activators, the transcriptional machinery and non-coding RNA elements at enhancer and promoter elements. Mediator is a large co-activator complex that bridges promoters with transcription factors bound to cell-specific enhancers. Here we describe Med12, a member of the Mediator complex kinase module, as an indispensable regulator of hematopoietic stem cell (HSC) maintenance and differentiation. Conditional deletion of Med12 rapidly exhausts adult bone marrow HSCs leading to lethality. Conversely, HSC-specific deletion of other members of the Mediator complex kinase module, Med13, CyclinC and CDK8 are dispensable for HSC function. We also show that Med12 is an enhancer element that co-localizes with essential hematopoietic transcription factors and enhancer-specific histone marks. In this context, we demonstrate that Med12 loss in HSCs results in rapid dysregulation of stemness signatures, as well as failure of enhancer activation by depletion of H3K27Ac. Finally, we find that Med12 promotes stabilization of p300 at enhancers, thereby contributing to the preservation of HSC homeostasis. Collectively, our data describes a novel, kinase-independent function for Med12 in the regulation of HCS enhancer elements and the maintenance of normal stem cell function. As a result, we believe that alterations in the Med12-dependent regulation of HSC enhancers may contribute to malignant transformation and disease

Study question: What do RNA seq-profiles tell us about gene activity in preimplantation embryos known to be normal vs. trisomic for chromosomes 21, 18, 15 and 22. Summary answer: RNA-Seq profiles are karyotype-dependent and appear to correlate with viability. X and Y transcription is surprisingly active at the preimplantation stage. What is known already: Embryonic karyotypic abnormalities are the most common cause of implantation failure and miscarriage. Some such embryos can progress to viability as evidenced by the birth of children with Trisomy 21, 18 and 15. An abnormal karyotype dictates developmental aberrations, and for these differences to affect phenotype, variations in gene expression must occur in the developing embryo. We set out to determine if such changes could be identified in embryos as early as the pre-implantation stage. Study design, size, duration: We used a cohort of 19 pre-implantation embryos (day 5 and 6 blastocysts); three being normal, five trisomy 15, two trisomy 22, three trisomy 21 and three trisomy 18, and three of unknown karyotype. Participants/materials, setting, methods: After written consent, analysis was performed on high quality embryos that previously underwent trophectoderm biopsy with array comparative genomic hybridization (aCGH) or next generation sequencing (NGS) for 24-chromosome aneuploidy screening and vitrified. Blastocysts were lysed immediately after thawing, and cDNA was synthesized and amplified, followed by RNA-Seq library preparation for deep Illuminabased sequencing. Sex and chromosomal aneuploidy were used as parameters for comparative analysis using a bioinformatics pipeline using a sensitivity of 0.05. Main results and the role of chance: Principal Component analysis (PCA) revealed that normal embryos clustered in proximity to trisomies 21 and 18, while 15 and 22 clustered separately. This suggested that early gene expression may correlate with viability. PCA did not distinguish between male and female embryos. Differential gene expression was calculated using DESEQ2, an R package that estimates the variance-mean dependence and tests for differential expression using a model using the negative binomial distribution. A comparison of sex-specific gene expression showed that the top differentially expressed genes were on the sex chromosomes, including various Y-linked transcription factors, helicases, and ribosomal proteins, as well as a testis-specific regulatory transcript, and >200 X-chromosome genes. Trisomy 21 embryos were the closest to normal embryos, with only 3 genes on chromosome 21 expressed more highly in the trisomic embryos. In contrast, trisomy 22 embryos (non viable), had 684 differentially expressed genes, 32 of which on chromosome 22. Trisomy 18 embryos had only one highly expressed significant gene, and it is located on chromosome 18. Trisomy 15 embryos had 829 differentially expressed genes, of which 83 were in chromosome 15. Our results suggest that the less viable trisomies have bigger gene expression differences, even at this very early stage. Limitations, reasons for caution: While the karyotypes were analyzed by stringent methods, embryos may have had elements of mosaicism or chromosomal structural abnormalities. The genes identified by RNA-Seq need to be validated using orthogonal methods. Wider implications of the findings: We have expanded the knowledge of the transcriptome of the human pre-implantation embryo as they relate to aneuploidy and sex. This information can now be used to further our understanding of early embryonic development and stem cell biology, and to identify biomarkers for non-invasive preimplantation genomic screening