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Book
Nuclear, Chromosomal, and Genomic Architecture in Biology and Medicine
Authors: ---
ISBN: 3031065727 3031065735 Year: 2022 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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This volume reviews the latest research on the functional implications of nuclear, chromosomal and genomic organization and architecture on cell and organismal biology, and development and progression of diseases. The architecture of the cell nucleus and non-random arrangement of chromosomes, genes, and the non-membranous nuclear bodies in the three-dimensional (3D) space alters in response to the environmental, mechanical, chemical, and temporal cues. The changes in the nuclear, chromosomal, or genomic compaction and configuration modify the gene expression program and induce or inhibit epigenetic modifications. The intrinsically programmed rearrangements of the nuclear architecture are necessary for cell differentiation, the establishment of cell fate during development and maturation of tissues and organs including the immune, muscle, and nervous systems. The non-programmed changes in the nuclear architecture can lead to fragmentation of the nucleus and instability of the genome and thus cause cancer. Microbial and viral infections can lead to a clustering of centromeres, telomeres and ribosomal DNA and alter the properties of the nuclear membrane, allowing large immobile macromolecules to enter the nucleus. Recent advances in next-generation sequencing technologies combined with nucleus/chromosome conformation capture, super-resolution imaging, chromosomal contact maps methods, integrative modeling, and genetic approaches, are uncovering novel features and importance of nuclear, chromosomal and genomic architecture. This book is an interesting read for cell biologists, researchers studying the structure and function of chromosomes, and anyone else who wants to get an overview of the field of nuclear, chromosomal and genomic architecture.


Book
Impacts of Climate Change on Tree Physiology and Responses of Forest Ecosystems
Author:
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Extreme climatic events, such as intense and prolonged droughts and heat waves, are occurring with increasing frequency and with pronounced impacts on forests. Forest trees, as long-lived organisms, need to develop adaptation mechanisms to successfully respond to such climatic extremes. Whether physiological adaptations on the tree level result in ecophysiological responses that ensure plasticity of forest ecosystems to climate change is currently in the core forest research. Within this Special Issue, forest species’ responses to climatic variability were reported from diverse climatic zones and ecosystem types: from near-desert mountains in western USA to tropical forests in central America and Asia, and from Mediterranean ecosystems to temperate European forests. The clear effects of constraints related to climate change were evidenced on the tree level, such as in differentiated gene expression, metabolite abundance, sap flow rates, photosynthetic performance, seed germination, survival and growth, while on the ecosystem level, tree line shifts, temporal shifts in allocation of resources and species shifts were identified. Experimental schemes such as common gardens and provenance trails also provided long-term indications on the tolerance of forest species against drought and warming and serve to evaluate their performance under the predicted climate in near future. These findings enhance our knowledge on the potential resilience of forest species and ecosystems to climate change and provide an updated basis for continuing research on this topic.


Book
Application of Bioinformatics in Cancers
Author:
ISBN: 3039217895 3039217887 Year: 2019 Publisher: MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This collection of 25 research papers comprised of 22 original articles and 3 reviews is brought together from international leaders in bioinformatics and biostatistics. The collection highlights recent computational advances that improve the ability to analyze highly complex data sets to identify factors critical to cancer biology. Novel deep learning algorithms represent an emerging and highly valuable approach for collecting, characterizing and predicting clinical outcomes data. The collection highlights several of these approaches that are likely to become the foundation of research and clinical practice in the future. In fact, many of these technologies reveal new insights about basic cancer mechanisms by integrating data sets and structures that were previously immiscible.

Keywords

cancer treatment --- extreme learning --- independent prognostic power --- AID/APOBEC --- HP --- gene inactivation biomarkers --- biomarker discovery --- chemotherapy --- artificial intelligence --- epigenetics --- comorbidity score --- denoising autoencoders --- protein --- single-biomarkers --- gene signature extraction --- high-throughput analysis --- concatenated deep feature --- feature selection --- differential gene expression analysis --- colorectal cancer --- ovarian cancer --- multiple-biomarkers --- gefitinib --- cancer biomarkers --- classification --- cancer biomarker --- mutation --- hierarchical clustering analysis --- HNSCC --- cell-free DNA --- network analysis --- drug resistance --- hTERT --- variable selection --- KRAS mutation --- single-cell sequencing --- network target --- skin cutaneous melanoma --- telomeres --- Neoantigen Prediction --- datasets --- clinical/environmental factors --- StAR --- PD-L1 --- miRNA --- circulating tumor DNA (ctDNA) --- false discovery rate --- predictive model --- Computational Immunology --- brain metastases --- observed survival interval --- next generation sequencing --- brain --- machine learning --- cancer prognosis --- copy number aberration --- mutable motif --- steroidogenic enzymes --- tumor --- mortality --- tumor microenvironment --- somatic mutation --- transcriptional signatures --- omics profiles --- mitochondrial metabolism --- Bufadienolide-like chemicals --- cancer-related pathways --- intratumor heterogeneity --- estrogen --- locoregionally advanced --- RNA --- feature extraction and interpretation --- treatment de-escalation --- activation induced deaminase --- knockoffs --- R package --- copy number variation --- gene loss biomarkers --- cancer CRISPR --- overall survival --- histopathological imaging --- self-organizing map --- Network Analysis --- oral cancer --- biostatistics --- firehose --- Bioinformatics tool --- alternative splicing --- biomarkers --- diseases genes --- histopathological imaging features --- imaging --- TCGA --- decision support systems --- The Cancer Genome Atlas --- molecular subtypes --- molecular mechanism --- omics --- curative surgery --- network pharmacology --- methylation --- bioinformatics --- neurological disorders --- precision medicine --- cancer modeling --- miRNAs --- breast cancer detection --- functional analysis --- biomarker signature --- anti-cancer --- hormone sensitive cancers --- deep learning --- DNA sequence profile --- pancreatic cancer --- telomerase --- Monte Carlo --- mixture of normal distributions --- survival analysis --- tumor infiltrating lymphocytes --- curation --- pathophysiology --- GEO DataSets --- head and neck cancer --- gene expression analysis --- erlotinib --- meta-analysis --- traditional Chinese medicine --- breast cancer --- TCGA mining --- breast cancer prognosis --- microarray --- DNA --- interaction --- health strengthening herb --- cancer --- genomic instability


Book
Circulating Tumor Cells: Finding Rare Events for A Huge Knowledge of Cancer Dissemination
Author:
ISBN: 3039286994 3039286986 Year: 2020 Publisher: MDPI - Multidisciplinary Digital Publishing Institute

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The analysis of circulating tumor cells (CTCs) as a real-time liquid biopsy approach can be used to obtain new insights into metastasis biology, and as companion diagnostics to improve the stratification of therapies and to obtain insights into the therapy-induced selection of cancer cells. In this book, we will cover all the different facets of CTCs to assemble a huge corpus of knowledge on cancer dissemination: technologies for their enrichment, detection, and characterization; their analysis at the single-cell level; their journey as CTC microemboli; their clinical relevance; their biology with the epithelial-to-mesenchymal transition (EMT); their stem-cell properties; their potential to initiate metastasis at distant sites; their ex vivo expansion; and their escape from the immune system.

Keywords

n/a --- FOLFIRINOX --- immunofluorescence imaging --- AR-V7 --- circulating tumour cells --- chemoradioresistance --- CTC-based treatment decisions --- rVAR2 --- immunophenotyping --- immune system --- CellSearch® --- flow cytometry --- clinical trials --- circulating tumor DNA --- synaptophysin --- stem cells --- colorectal cancer --- melanoma --- CTC biology --- platelets --- AR --- CTC capture technology --- castration resistant prostate cancer (CRPC) --- PD-L1 expression --- rovalpituzumab tesirine --- HMB-45 --- thymidylate synthase --- ctDNA --- tumor cell dissemination --- solid cancers --- metastasis --- locally advanced rectal cancer --- miRNA --- epithelial-to-mesenchymal transition (EMT) --- NSCLC --- tumor biomarkers --- tumor stem cells --- circulating tumor cells --- major histocompatibility complex class I (MHCI) --- bone marrow --- heterogeneity --- cerebrospinal liquid biopsy --- fish --- glioma --- in vivo flow cytometry --- colorectal surgery --- CellSearch --- single-cell analysis --- disseminated tumor cells --- EasyCount slides --- microsatellite instability --- circulating plasma cells --- circulating leukemia cells --- ARV7 --- SLUG --- androgen receptor --- metastatic colorectal cancer --- leukocyte-derived extracellular vesicles --- prostate cancer (PCa) --- neutrophils --- liquid biopsy --- enzalutamide --- CD133 --- enrichment and detection technologies --- biomarkers --- immune checkpoint inhibitors --- biomarker --- RAD23B --- microbiome --- integrin B1 --- ACCEPT --- emboli --- small-cell lung carcinoma --- EPISPOT --- microfluidics --- early breast cancer --- circulating tumor cells (CTC) --- tumor-initiating cells (TICs) --- immunomodulation --- xenograft models --- CTC-derived xenografts --- malaria --- circulating tumor cells (CTCs) --- clinical utility --- exosomes --- liquid surgery --- ctRNA --- CTCs --- epithelial–mesenchymal transition --- targeted therapy --- hematological cells --- gene expression analysis --- hepatocellular carcinoma (HCC) --- breast cancer --- EpCAM enrichment --- prostate cancer --- CTC --- abiraterone --- fibronectin --- CTC-derived ex vivo models --- CTMat --- chromogranin A --- CTM --- exosome --- epithelial-mesenchymal transition


Book
Computational intelligence in cancer diagnosis : progress and challenges
Authors: --- --- --- --- --- et al.
ISBN: 0323903533 0323852408 9780323903530 9780323852401 Year: 2023 Publisher: London, United Kingdom ; San Diego, CA : Academic Press is an imprint of Elsevier,

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"Computational Intelligence in Cancer Diagnosis: Progress and Challenges provides insights into the current strength and weaknesses of different applications and research findings on computational intelligence in cancer research. The book improves the exchange of ideas and coherence among various computational intelligence methods and enhances the relevance and exploitation of application areas for both experienced and novice end-users. Topics discussed include neural networks, fuzzy logic, connectionist systems, genetic algorithms, evolutionary computation, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems.The book's chapters are written by international experts from both cancer research, oncology and computational sides to cover different aspects and make it comprehensible for readers with no background on informatics. Key Features: Contains updated information about advanced computational intelligence, spanning the areas of neural networks, fuzzy logic, connectionist systems, genetic algorithms, evolutionary computation, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems in diagnosing cancer diseases. Discusses several cancer types, including their detection, treatment and prevention. Presents case studies that illustrate the applications of intelligent computing in data analysis to help readers to analyze and advance their research in cancer"--Provided by publisher.

Keywords

Computational intelligence. --- Artificial Intelligence. --- Neoplasms --- Gene Expression Profiling. --- diagnosis. --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Gene Expression Monitoring --- Transcriptome Analysis --- Gene Expression Analysis --- Gene Expression Pattern Analysis --- Transcript Expression Analysis --- Transcriptome Profiling --- Transcriptomics --- mRNA Differential Display --- Analyses, Gene Expression --- Analyses, Transcript Expression --- Analyses, Transcriptome --- Analysis, Gene Expression --- Analysis, Transcript Expression --- Analysis, Transcriptome --- Differential Display, mRNA --- Differential Displays, mRNA --- Expression Analyses, Gene --- Expression Analysis, Gene --- Gene Expression Analyses --- Gene Expression Monitorings --- Gene Expression Profilings --- Monitoring, Gene Expression --- Monitorings, Gene Expression --- Profiling, Gene Expression --- Profiling, Transcriptome --- Profilings, Gene Expression --- Profilings, Transcriptome --- Transcript Expression Analyses --- Transcriptome Analyses --- Transcriptome Profilings --- mRNA Differential Displays --- Gene Expression --- Oligonucleotide Array Sequence Analysis --- Transcriptome --- Subtractive Hybridization Techniques --- Computational Intelligence --- AI (Artificial Intelligence) --- Computer Reasoning --- Computer Vision Systems --- Knowledge Acquisition (Computer) --- Knowledge Representation (Computer) --- Machine Intelligence --- Acquisition, Knowledge (Computer) --- Computer Vision System --- Intelligence, Artificial --- Intelligence, Machine --- Knowledge Representations (Computer) --- Reasoning, Computer --- Representation, Knowledge (Computer) --- System, Computer Vision --- Systems, Computer Vision --- Vision System, Computer --- Vision Systems, Computer --- Heuristics --- Cancer --- Artificial Intelligence --- Diagnosis --- Data processing. --- diagnosis


Book
Microarrays for the neurosciences : an essential guide
Authors: ---
ISBN: 0262273748 0585445524 9780262273749 9780585445526 Year: 2002 Publisher: [Place of publication not identified] MIT Press

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Keywords

Gene Expression Profiling --- Nervous System Diseases --- Oligonucleotide Array Sequence Analysis --- Nervous System Physiological Phenomena --- Microarray Analysis --- Sequence Analysis --- Molecular Probe Techniques --- Genetic Techniques --- Nucleic Acid Hybridization --- Musculoskeletal and Neural Physiological Phenomena --- Diseases --- Microchip Analytical Procedures --- Investigative Techniques --- Phenomena and Processes --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Chemistry Techniques, Analytical --- Analytical Chemistry Methods --- Analytical Chemistry Techniques --- Analytical Chemistry Method --- Analytical Chemistry Technique --- Chemistry Method, Analytical --- Chemistry Methods, Analytical --- Chemistry Technique, Analytical --- Method, Analytical Chemistry --- Methods, Analytical Chemistry --- Technique, Analytical Chemistry --- Techniques, Analytical Chemistry --- Investigative Technics --- Investigative Technic --- Investigative Technique --- Technic, Investigative --- Technics, Investigative --- Technique, Investigative --- Techniques, Investigative --- Microchip Analysis --- Analyses, Microchip --- Analysis, Microchip --- Analytical Procedure, Microchip --- Analytical Procedures, Microchip --- Microchip Analytical Procedure --- Procedure, Microchip Analytical --- Procedures, Microchip Analytical --- Micromanipulation --- Nanotechnology --- Lab-On-A-Chip Devices --- Musculoskeletal and Neural Physiological Concepts --- Musculoskeletal and Neural Physiological Phenomenon --- Musculoskeletal and Neural Physiology --- Genomic Hybridization --- Acid Hybridization, Nucleic --- Acid Hybridizations, Nucleic --- Genomic Hybridizations --- Hybridization, Genomic --- Hybridization, Nucleic Acid --- Hybridizations, Genomic --- Hybridizations, Nucleic Acid --- Nucleic Acid Hybridizations --- DNA --- Nucleic Acid Probes --- Oligonucleotide Probes --- Genetic Technic --- Genetic Technics --- Genetic Technique --- Technic, Genetic --- Technics, Genetic --- Technique, Genetic --- Techniques, Genetic --- Genetics --- Genetic Counseling --- Genetic Phenomena --- Molecular Probe Technic --- Molecular Probe Technics --- Molecular Probe Technique --- Technic, Molecular Probe --- Technics, Molecular Probe --- Technique, Molecular Probe --- Techniques, Molecular Probe --- Probe Technic, Molecular --- Probe Technics, Molecular --- Probe Technique, Molecular --- Probe Techniques, Molecular --- Analysis, Sequence --- Determination, Sequence --- Determinations, Sequence --- Sequence Determinations --- Sequence Determination --- Analyses, Sequence --- Sequence Analyses --- Microarray Analytical Devices --- Microarray Microchips --- Nanoarray Analytical Devices --- Analysis, Microarray --- Analytical Device, Microarray --- Analytical Device, Nanoarray --- Analytical Devices, Microarray --- Analytical Devices, Nanoarray --- Device, Microarray Analytical --- Device, Nanoarray Analytical --- Devices, Microarray Analytical --- Devices, Nanoarray Analytical --- Microarray Analytical Device --- Microarray Microchip --- Microchip, Microarray --- Microchips, Microarray --- Nanoarray Analytical Device --- Nervous System Physiological Concepts --- Nervous System Physiological Phenomenon --- Nervous System Physiological Process --- Physiology, Nervous System --- Nervous System Physiologic Processes --- Nervous System Physiological Processes --- Nervous System Physiology --- System Physiology, Nervous --- Nervous System --- DNA Arrays --- DNA Chips --- DNA Microchips --- Gene Chips --- Oligodeoxyribonucleotide Array Sequence Analysis --- Oligonucleotide Microarrays --- Sequence Analysis, Oligonucleotide Array --- cDNA Arrays --- DNA Microarrays --- Oligonucleotide Arrays --- cDNA Microarrays --- Array, DNA --- Array, Oligonucleotide --- Array, cDNA --- Arrays, DNA --- Arrays, Oligonucleotide --- Arrays, cDNA --- Chip, DNA --- Chip, Gene --- Chips, DNA --- Chips, Gene --- DNA Array --- DNA Chip --- DNA Microarray --- DNA Microchip --- Gene Chip --- Microarray, DNA --- Microarray, Oligonucleotide --- Microarray, cDNA --- Microarrays, DNA --- Microarrays, Oligonucleotide --- Microarrays, cDNA --- Microchip, DNA --- Microchips, DNA --- Oligonucleotide Array --- Oligonucleotide Microarray --- cDNA Array --- cDNA Microarray --- Combinatorial Chemistry Techniques --- Nervous System Disorders --- Neurological Disorders --- Neurologic Disorders --- Disease, Nervous System --- Diseases, Nervous System --- Disorder, Nervous System --- Disorder, Neurologic --- Disorder, Neurological --- Disorders, Nervous System --- Disorders, Neurologic --- Disorders, Neurological --- Nervous System Disease --- Nervous System Disorder --- Neurologic Disorder --- Neurological Disorder --- Neurology --- Gene Expression Monitoring --- Transcriptome Analysis --- Gene Expression Pattern Analysis --- Transcript Expression Analysis --- Transcriptome Profiling --- mRNA Differential Display --- Analyses, Transcript Expression --- Analyses, Transcriptome --- Analysis, Transcript Expression --- Analysis, Transcriptome --- Differential Display, mRNA --- Differential Displays, mRNA --- Display, mRNA Differential --- Displays, mRNA Differential --- Gene Expression Monitorings --- Gene Expression Profilings --- Monitoring, Gene Expression --- Monitorings, Gene Expression --- Profiling, Gene Expression --- Profiling, Transcriptome --- Profilings, Gene Expression --- Profilings, Transcriptome --- Transcript Expression Analyses --- Transcriptome Analyses --- Transcriptome Profilings --- mRNA Differential Displays --- Gene Expression --- Transcriptome --- Subtractive Hybridization Techniques --- methods --- physiology --- Gene Expression Microarray Analysis --- Gene Expression Analysis --- Transcriptomics --- Analyses, Gene Expression --- Analysis, Gene Expression --- Expression Analyses, Gene --- Expression Analysis, Gene --- Gene Expression Analyses

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