Translational Oncogenomics and Human Cancer Interactome Networks

An overview of translational, human oncogenomics, transcriptomics and cancer interactomic networks is presented together with basic concepts and potential, new applications to Oncology and Integrative Cancer Biology. Novel translational oncogenomics research is rapidly expanding through the application of advanced technology, research findings and computational tools/models to both pharmaceutical and clinical problems. A self-contained presentation is adopted that covers both fundamental concepts and the most recent biomedical, as well as clinical, applications. Sample analyses in recent clinical studies have shown that gene expression data can be employed to distinguish between tumor types as well as to predict outcomes. Potentially important applications of such results are individualized human cancer therapies or, in general, ‘personalized medicine’. Several cancer detection techniques are currently under development both in the direction of improved detection sensitivity and increased time resolution of cellular events, with the limits of single molecule detection and picosecond time resolution already reached. The urgency for the complete mapping of a human cancer interactome with the help of such novel, high-efficiency / low-cost and ultra-sensitive techniques is also pointed out

The potential of text mining in data integration and network biology for plant research : a case study on Arabidopsis

Despite the availability of various data repositories for plant research, a wealth of information currently remains hidden within the biomolecular literature. Text mining provides the necessary means to retrieve these data through automated processing of texts. However, only recently has advanced text mining methodology been implemented with sufficient computational power to process texts at a large scale. In this study, we assess the potential of large-scale text mining for plant biology research in general and for network biology in particular using a state-of-the-art text mining system applied to all PubMed abstracts and PubMed Central full texts. We present extensive evaluation of the textual data for Arabidopsis thaliana, assessing the overall accuracy of this new resource for usage in plant network analyses. Furthermore, we combine text mining information with both protein-protein and regulatory interactions from experimental databases. Clusters of tightly connected genes are delineated from the resulting network, illustrating how such an integrative approach is essential to grasp the current knowledge available for Arabidopsis and to uncover gene information through guilt by association. All large-scale data sets, as well as the manually curated textual data, are made publicly available, hereby stimulating the application of text mining data in future plant biology studies

Oncogenomics and Cancer Interactomics

An overview of translational, human oncogenomics, transcriptomics and cancer interactomic networks is presented together with basic concepts and potential, new applications to Oncology and Integrative Cancer Biology. Novel translational oncogenomics research is rapidly expanding through the application of advanced technology, research findings and computational tools/models to both pharmaceutical and clinical problems. A self-contained presentation is adopted that covers both fundamental concepts and the most recent biomedical, as well as clinical, applications. Sample analyses in recent clinical studies have shown that gene expression data can be employed to distinguish between tumor types as well as to predict outcomes. Potentially important applications of such results are individualized human cancer therapies or, in general, ‘personalized medicine’. Several cancer detection techniques are currently under development both in the direction of improved detection sensitivity and increased time resolution of cellular events, with the limits of single molecule detection and picosecond time resolution already reached. The urgency for the complete mapping of a human cancer interactome with the help of such novel, high-efficiency / low-cost and ultra-sensitive techniques is also pointed out

Genome-Wide Identification of WRKY Transcription Factor Encoding Genes in Amborella \u3cem\u3eTrichopoda Baill\u3c/em\u3e. (Amborellaceae)

WRKY transcription factors (TFs) are DNA-binding proteins, which play important roles in managing plant stresses and regulating growth and development processes. The WRKY TF family has expanded significantly through genome/gene duplications in the plant evolutionary process. Although the WRKY TFs have been identified in hundreds of plant species, they are yet to be identified in Amborella trichopoda, a species that represents the most basal group of Angiosperms. The main objectives of this study were to conduct genome-wide identification of the WRKY gene family in A. trichopoda and to assess their homologs in Angiosperms. In this study, we identified 42 A. trichopoda WRKY TFs and, and their homologss in seven other plant species (Cinnamonum micranthum, Asparagus officinilas, Glycine max, Gossyopium raimondii, Arabidopsis thaliana, Chenopodium quinoa, and Helianthus annuus). The genome of A. trichopoda has the fewest WRKY TFs among the eight genomes studied. The genomes of the species representing recently evolved flowering plant clades have more variable WRKY TFs. Previously classified group and subgroup members in Arabidopsis were present in all species. The WRKYGQK has been modified into WRKYGKK or WRKYGEK in most species with fewer other variation

Microenvironmental control of malignant growth

The tumor microenvironment (TME) comprises a complex milieu of different cell types, including cancer associated fibroblasts (CAFs) and immune cells, blood vessels, and the extracellular matrix. Through its interaction with cancer cells, it plays an essential role in cancer invasion and metastasis. The inherent complexity of the TME presents a challenge to study it within experimental model systems. It underscores the importance of complementing such research with observation from human tumor tissues, wherein this intricate complexity is preserved. In Paper IV, we introduce a new software designed to explore the Human Protein Atlas, an online database that includes image data on the protein expression across normal and cancerous tissues from immunohistochemically (IHC) stained tissues. In Paper I, we use this software to identify 12 novel proteins expressed in cancerassociated fibroblasts, four revealing connections to Rho-kinase signaling. We contrast their expression across various tumors and against normal tissue fibroblasts, uncovering expression variability among cancer types and confirm their similarities with the myofibroblastic phenotype. In Paper II, we explore the expression of the proteoglycan Decorin, abundantly present in normal connective tissue and having tumor inhibitory properties, showing its downregulation in the connective tissue surrounding tumors. In Paper III, based on our observations in Paper I of the connection of Rhosignaling in CAFs, we study the effects of knocking out the related RhoA in fibroblasts both in vitro and in vivo models. We demonstrate that the knockout fibroblasts compromise their tumor inhibitory capacity, enhancing cancer cell growth, migration, and metastasis. In Paper VI, we develop a new method for analyzing the extensive data within the Human Protein Atlas by developing a deep-learning-based image classifier. Utilizing a limited training image set, we classify all images available for the prostate, identifying 44 new markers of prostate basal cells. In Paper IV, we explore the influence of the TME on cancer cells by systematically analyzing 20 pancreatic cancer patient samples utilizing an IHC panel. We define shifts in cancer cell phenotype relative to tissue localization, including a transition to a more indolent cancer phenotype, an effect on cancer cell proliferation, and a tendency to normalize the cancer cell phenotype. In conclusion, we developed two new methods that enable us to study protein expression in normal and cancerous tissues by enhancing the capabilities of the HPA. We identified new markers of CAFs and revealed a connection to Rhosignaling. Knocking out the related RhoA in experimental systems resulted in the fibroblasts losing their cancer inhibitory capacity. Finally, we show the remarkable plasticity of cancer cells, demonstrating that their phenotype undergoes significant alterations based on their spatial localization within normal tissue

Tumorigenic proteins upregulated in the MYCN-amplified IMR-32 human neuroblastoma cells promote proliferation and migration.

Childhood neuroblastoma is one of the most common types of extra-cranial cancer affecting children with a clinical spectrum ranging from spontaneous regression to malignant and fatal progression. In order to improve the clinical outcomes of children with high-risk neuroblastoma, it is crucial to understand the tumorigenic mechanisms that govern its malignant behaviors. MYCN proto-oncogene, bHLH transcription factor (MYCN) amplification has been implicated in the malignant, treatment-evasive nature of aggressive, high-risk neuroblastoma. In this study, we used a SILAC approach to compare the proteomic signatures of MYCN-amplified IMR-32 and non-MYCN-amplified SK-N-SH human neuroblastoma cells. Tumorigenic proteins, including fatty-acid binding protein 5 (FABP5), L1-cell adhesion molecule (L1-CAM), baculoviral IAP repeat containing 5 [BIRC5 (survivin)] and high mobility group protein A1 (HMGA1) were found to be significantly upregulated in the IMR-32 compared to the SK-N-SH cells and mapped to highly tumorigenic pathways including, MYC, MYCN, microtubule associated protein Tau (MAPT), E2F transcription factor 1 (E2F1), sterol regulatory element binding transcription factor 1 or 2 (SREBF1/2), hypoxia-inducible factor 1α (HIF-1α), Sp1 transcription factor (SP1) and amyloid precursor protein (APP). The transcriptional knockdown (KD) of MYCN, HMGA1, FABP5 and L1-CAM significantly abrogated the proliferation of the IMR-32 cells at 48 h post transfection. The early apoptotic rates were significantly higher in the IMR-32 cells in which FABP5 and MYCN were knocked down, whereas cellular migration was significantly abrogated with FABP5 and HMGA1 KD compared to the controls. Of note, L1-CAM, HMGA1 and FABP5 KD concomitantly downregulated MYCN protein expression and MYCN KD concomitantly downregulated L1-CAM, HMGA1 and FABP5 protein expression, while survivin protein expression was significantly downregulated by MYCN, HMGA1 and FABP5 KD. In addition, combined L1-CAM and FABP5 KD led to the concomitant downregulation of HMGA1 protein expression. On the whole, our data indicate that this inter-play between MYCN and the highly tumorigenic proteins which are upregulated in the malignant IMR-32 cells may be fueling their aggressive behavior, thereby signifying the importance of combination, multi-modality targeted therapy to eradicate this deadly childhood cancer

The immunome and embryo quality in sea bream and sea bass

Gilthead sea bream (Sparus aurata) and European sea bass (Dicentrarchus labrax) are teleosts belonging to Eupercaria and are the most important aquaculture fish species in the Mediterranean region. These two species are ranked second after the Atlantic salmon (Salmo salar) in production volume and value in the European Union (EU) aquaculture sector. Unpredictable fertilized egg/embryo quality and performance remain a bottleneck that threatens sustainability of sea bream and sea bass aquaculture, impeding the increased productivity of aquaculture that entirely depends on hatchery production. To address this issue, criteria and molecular markers linked to embryo quality that could be used to monitor and manage hatchery production were procured. Comparative molecular approaches using molecular biology, proteomics and transcriptomics were performed to analyze embryo performance and immunity in samples from several European commercial hatcheries. The core achievements were the: a) identification and characterization of lysozyme and complement 5 (C5) gene families and embryo and larval gene expression and enzyme activity from a diversity of hatcheries, b) characterization of the embryo proteome from three Mediterranean fish species [white sea bream (Diplodus sargus), meagre (Argyrosomus regius) and sea bream] 24h before hatch and at hatch and identification of common and species specific molecular patterns linked to biological function and putative quality-related proteins, c) comparative transcriptomics of good and poor quality sea bream embryos from several Mediterranean hatcheries. Qualitylinked transcripts and some elements of the regulatory epitranscriptome (non-coding RNA) were identified as well as the contribution of maternal proteins to embryos. Taken together, the results provide a comprehensive description of the molecular basis of sea bream and sea bass embryo development and reveal that immune-related molecules in fertilized eggs are low abundance. The development (quality)-related candidate markers identified will be of value for management of fish embryos in aquaculture hatcheries.O mar Mediterrâneo cobre apenas 0,7% da área oceânica mundial, mas é um dos principais reservatórios de biodiversidade marinha e costeira com cerca de 28% de espécies endémicas. A dourada (Sparus aurata) e o robalo (Dicentrarchus labrax), são duas espécies de peixe que pertencem à série Eupercaria e das mais comercializadas pela indústria de aquicultura nesta região. No sector da aquicultura da União Europeia (EU), estas duas espécies ocupam o segundo lugar no “ranking” da cadeia de valor, depois do salmão do Atlântico. Contudo, as suas características morfológicas e de crescimento são os parâmetros de qualidade relevantes considerados pela indústria. Esta abordagem deve-se à sua comercialização em formato de peixe inteiro, o que reduz o valor de mercado na cadeia de valor e também à ausência de critérios de qualidade para seleção de ovos e embriões, bem como, de marcadores moleculares de qualidade com maior grau de sensibilidade. Todos estes obstáculos, limitam substancialmente o desenvolvimento das indústrias associadas á comercialização destas duas espécies de peixe, impedindo a expansão da aquicultura e das “hatcheries” (maternidades incubadoras de ovos/embriões controlados artificialmente para fins comerciais). Para mitigar este problema, utilizou-se técnicas de biologia molecular e tecnologias ómicas e estabeleceu-se uma abordagem comparativa direcionada á descoberta de moléculas e vias metabólicas funcionais de importância crítica para o sistema imune dos peixes associada á “performance” de desenvolvimento de ovos e embriões. Esta tese está organizada em seis capítulos. Inicia-se com uma visão geral dos critérios morfológicos, físico-químicos e moleculares existentes para avaliar a qualidade de ovos e embriões para melhorar a gestão da aquicultura de peixes (Capítulo 1). Subsequentemente, caracterizou-se a família de genes do sistema imune: a) a das lisozimas em peixes teleósteos com enfase na sua caracterização molecular e funcional em dourada (Capítulo 2) e análises moleculares estruturais e evolutivas e b) a do complemento C5 (C5) em peixes especialmente em espécies da faamilia Cyprinidae (Capítulo 3). Os capítulos 4 e 5, integram abordagens de proteómica e transcriptómica em espécies de peixes mediterrânicos [pargo (Diplodus sargus), corvina (Argyrosomus regius) e dourada], focando os processos de desenvolvimento e de eclosão e na função da enzima “hatching enzyme” em dourada e robalo. Foi feita uma associação entre os capítulos e a análise integrada dos dados do transcritoma do embrião (Capítulo 5) revelou um padrão de expressão significativamente diferente (p-valor < 0,05) para o C5 (Capítulo 3) em diferentes lotes de embriões de dourada nas comparações entre graus de qualidade (Boa vrs Má) e entre estágios de desenvolvimento (Pré- eclosão vrs Eclosão). A variação do C5 em relação ao lote de embriões não foi afetada pela origem da “hatchery”, indicando que as prática de manejo ou os próprios reprodutores não influenciam a sua expressão. Os resultados sugerem que este gene e o seu produto proteico, são provavelmente importantes na proteção imunológica precoce e também em outras funções ainda não descritas na dourada ou em outras espécies de peixes. Também a integração dos resultados do proteoma (Capítulo 4) e do transcritoma (Capítulo 5) do embrião de dourada nos mesmos estágios de desenvolvimento, identificou um grupo de proteínas que se especula serem de origem materna. No último capítulo, sumarizou-se os resultados e são apresentadas perspetivas baseadas nos avanços e desafios atuais e propostas para o desenvolvimento de uma ferramenta integrada de monitorização da qualidade dos embriões e uma base biológica do desenvolvimento de ovos e embriões de peixes (Capítulo 6). Neste projeto foram: 1) identificadas duas importantes famílias de genes associadas à imunidade inata em peixes, a das lisozimas e a do C5. Caracterizou-se pela primeira vez a função das lisozimas através da sua expressão e atividade enzimática em embriões e em diferentes estágios larvares de uma diversidade de reprodutores de dourada. Estudou-se a função do C5 em peixes, através da construção de redes génicas, modelação por homologia e “docking” molecular entre o C5 e o seu receptor (C5R/CD88); 2) mapeou-se e caracterizou-se o proteoma do embrião de três espécies de peixes mediterrânicos (sargo, corvina e dourada) em duas fases do seu desenvolvimento (24h antes da eclosão e na eclosão) e identificou-se um grupo de proteínas potencialmente relacionadas com a imunidade e a qualidade dos embriões. Avaliou-se a função do gene para enzima “hatching enzyme”, com base na sua expressão em embriões de dourada e robalo nos estágios acima referidos; 3) mapeou-se e caracterizou-se o transcritoma de embriões de dourada com origem em diferentes “hatcheries” na região mediterrânica através de uma abordagem comparativa entre qualidade e estágios de desenvolvimento (qualidade- Boa vrs Má; estágios- Pré- eclosão vrs Eclosão) e identificou-se uma diversidade de transcritos, vias metabólicas e elementos do epitranscriptoma regulatório do RNA-não codificante. Foram identificados em comum 42 candidatos a marcadores de qualidade e enriquecidas duas vias metabólicas relacionadas com o sistema imunológico e associadas às “hatcheries”: a via de infeção por Salmonella (constituída por 7 genes relacionados com o sistema imune) e a via de sinalização MAPK (mitogen-activated protein kinase). Foram identificadas 543 proteínas que são expressas apenas no proteoma, sugerindo que podem ter origem materna e destas, 7 (diferencialmente expressas) estão potencialmente relacionadas com o sistema imune. Globalmente, os resultados forneceram um grupo de marcadores relacionados à imunidade e ao desenvolvimento (qualidade), com potencial de se traduzirem em critérios de qualidade de ovos e embriões para a indústria da aquicultura. Estes resultados, foram amplamente estudados para descrever a base molecular biológica entre os diferentes estágios de desenvolvimento de ovos e embriões de peixes e também, entre diferentes lotes de embriões de diferente qualidade. As ferramentas biológicas e critérios desenvolvidos neste trabalho, oferecem uma orientação para as “hatcheries” de peixes e a sua aplicação contribuirá para melhorar no futuro o sector da aquicultura.O apoio financeiro ao trabalho relatado na presente tese de doutoramento é reconhecido com gratidão, pois foi crucial para o progresso positivo e sucesso do trabalho científico. Uma diversidade de fontes de financiamento apoiou o trabalho desenvolvido nesta tese, quer diretamente através da compra de consumíveis/materiais (PerformFISH a European Union’s Horizon 2020 research and innovation grant, agreement Nº 727610), quer indiretamente através do financiamento do CCMAR de apoio a serviços e equipamentos utilizados durante a execução do trabalho (projetos da Fundação para a Ciência e Tecnologia (FCT) - UIDB/04326/2020, UIDP/04326/2020 e dos programas operacionais CRESC Algarve 2020 e COMPETE 2020 através do projeto EMBRC.PT ALG-01-0145-FEDER-022121)

Resources and tools for rare disease variant interpretation

: Collectively, rare genetic disorders affect a substantial portion of the world's population. In most cases, those affected face difficulties in receiving a clinical diagnosis and genetic characterization. The understanding of the molecular mechanisms of these diseases and the development of therapeutic treatments for patients are also challenging. However, the application of recent advancements in genome sequencing/analysis technologies and computer-aided tools for predicting phenotype-genotype associations can bring significant benefits to this field. In this review, we highlight the most relevant online resources and computational tools for genome interpretation that can enhance the diagnosis, clinical management, and development of treatments for rare disorders. Our focus is on resources for interpreting single nucleotide variants. Additionally, we present use cases for interpreting genetic variants in clinical settings and review the limitations of these results and prediction tools. Finally, we have compiled a curated set of core resources and tools for analyzing rare disease genomes. Such resources and tools can be utilized to develop standardized protocols that will enhance the accuracy and effectiveness of rare disease diagnosis

Resources and tools for rare disease variant interpretation

Collectively, rare genetic disorders affect a substantial portion of the world’s population. In most cases, those affected face difficulties in receiving a clinical diagnosis and genetic characterization. The understanding of the molecular mechanisms of these diseases and the development of therapeutic treatments for patients are also challenging. However, the application of recent advancements in genome sequencing/analysis technologies and computer-aided tools for predicting phenotype-genotype associations can bring significant benefits to this field. In this review, we highlight the most relevant online resources and computational tools for genome interpretation that can enhance the diagnosis, clinical management, and development of treatments for rare disorders. Our focus is on resources for interpreting single nucleotide variants. Additionally, we present use cases for interpreting genetic variants in clinical settings and review the limitations of these results and prediction tools. Finally, we have compiled a curated set of core resources and tools for analyzing rare disease genomes. Such resources and tools can be utilized to develop standardized protocols that will enhance the accuracy and effectiveness of rare disease diagnosis

Genetic screening and molecular characterisation of biomarkers in hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is the most common type of liver cancer that accounts for 4.7% of the total number of new cases of cancer worldwide every year. HCC is a highly heterogeneous and complex disease with an estimated 5-year survival rate of only 18%. A better understanding of the mechanisms involved in the development, progression and recurrence of this tumour could not only guide us in the improvement of preventive strategies but also in the expansion of alternative target therapies for HCC patients. The aim of this thesis is to investigate new diagnostic and prognostic markers, both on genetic and molecular levels, in the context of HCC. The results section is divided in two, called Chapter I and Chapter II. HCC presents a distinct mutational landscape and Chapter I describes how we developed a HCC-specific custom made sequencing panel, containing the genes most commonly affected by somatic mutations and copy number alterations (CNAs) in the disease. We created a panel that was tested in different kinds of patient biopsies: frozen tissues, formalin-fixed paraffin-embedded (FFPE) tissues and also liquid biopsies. Moreover, to have reliable and reproducible sequencing data, we created a solid and user friendly somatic variant calling pipeline specific for Ion Torrent sequencing data. In Chapter II, we aimed to investigate the molecular mechanism of HMGA1 in HCC and to explore its molecular targets. HMGA1 is an architectural transcription factor that was found often overexpressed in HCCs. We explored its DNA-binding landscape and, after deregulating HMGA1 in a HCC in vitro environment, its expression signature both at the RNA and protein levels. With the analysis of the binding partners of HMGA1, we recognised the vast range of mechanisms of action of this complex protein. We identified several RNA regulators that bind HMGA1, including Alyref, which plays a role in the regulation of the transcription. Further work should aim to determine the non-canonical role of HMGA1 involved in the binding and the regulation not only at the DNA but also at the RNA level. Both chapters describe the steps of this work on the identification and the functional understanding of HCC biomarkers. This may lead in the future to more individualised treatment approaches, a need that in cancers with low survival rate such as HCC is not only highly desirable but is also a necessity