Proteomic technology

Traditionally, the transcriptomic and proteomic characterisation of CD4+ T cells at the single-cell level has been performed by two largely exclusive types of technologies: single-cell RNA sequencing (scRNA-seq) and antibody-based cytometry.

22p vibransone 28-03-2024 6 2   Download

Ebook "Proteomics" is to provide the active researcher with an overview of the types of questions being addressed in proteomics studies and the technologies used to address those questions. Key subjects covered in this book include: an assessment of the limitations of this approach and outlines new developments in mass spectrometry that will advance future research;...

136p coduathanh1122 27-03-2024 1 1   Download

Ebook "Modern molecular biology: Approaches for Unbiased discovery in cancer research" is to provide an overview of modern molecular biological approaches to unbiased discovery in cancer research. Advances in molecular biology allowing unbiased analysis of changes in cancer initiation and progression will be overviewed. These include the strategies employed in modern genomics, gene expression analysis, and proteomics.

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Ebook "Proteomic methods in neuropsychiatric research (Advances in experimental medicine and biology, Volume 974)" will be of high interest to clinical scientists, physicians and pharmaceutical company scientists as it gives insights into the latest technologies enabling the revolution of personalized medicine. It is of direct interest to both technical and bench biomarker scientists as it gives step by step instructions on how to carry out each of the protocols.

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Spatial multi-omic studies have emerged as a promising approach to comprehensively analyze cells in tissues, enabling the joint analysis of multiple data modalities like transcriptome, epigenome, proteome, and metabolome in parallel or even the same tissue section. This review focuses on the recent advancements in spatial multi-omics technologies, including novel data modalities and computational approaches.

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Ebook "Photons in natural and life sciences: An interdisciplinary approach (Springer series in optical sciences, Volume 157)" describes first the principle photon generation processes from nuclear reactions, electron motion and from discrete quantum transitions. It then focuses on the use of photons in various selected fields of modern natural and life sciences. It bridges disciplines such as physics, chemistry, earth- and materials science, proteomics, information technology, photoelectrochemistry, photosynthesis and spintronics.

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Ebook "Advancements of mass spectrometry in biomedical research" explores the use of mass spectrometry for biomedical applications. Chapters focus on specific therapeutic areas such as oncology, infectious disease, and psychiatry. Additional chapters focus on methodology, technologies and instrumentation, as well as on analysis of protein-protein interactions, protein quantitation, and protein post-translational modifications. Various omics fields such as proteomics, metabolomics, glycomics, lipidomics, and adductomics are also covered.

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Ebook "Root genomics" examines how various new genomic technologies are rapidly being applied to the study of roots, including high-throughput sequencing and genotyping, TILLING, transcription factor analysis, comparative genomics, gene discovery and transcriptional profiling, post-transcriptional events regulating microRNAs, proteome profiling and the use of molecular markers such as SSRs, DArTs, and SNPs for QTL analyses and the identification of superior genes/alleles.

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Ebook "Farm animal proteomics: Proceedings of the 3rd managing committee meeting and 2nd meeting of working groups 1, 2 & 3 of COST action FA1002" summarily presents the state of the art in farm animal proteomics research in Europe, providing readers with interesting examples of the applications of this set of advanced technologies as well as useful contact details of colleagues with expertise in the field.

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The aim of this work was to screen and validate biomarkers of ovarian cancer-initiating cells to detect the mechanisms of recurrence of epithelial ovarian cancer (EOC). Methods: Stably labelled the amino acid in side population (SP) cells of epithelial ovarian cancer which were rich in cancer-initiating cells and non-SP cells with isotope in culture and differentially expressed cellular membrane proteins in SP cells were identified through proteomics technology.

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Sheep are valuable resources for the animal fibre industry. Therefore, identifying genes which regulate wool growth would offer strategies for improving the quality of fine wool. In this study, we employed Agilent sheep gene expression microarray and proteomic technology to compare the gene expression patterns of the body side (hair-rich) and groin (hairless) skins of Aohan fine wool sheep (a Chinese indigenous breed).

11p vinarcissa 21-03-2023 1 1   Download

High-throughput technologies have revolutionized medical research. The advent of genotyping arrays enabled large-scale genome-wide association studies and methods for examining global transcript levels, which gave rise to the field of “integrative genetics”. Other omics technologies, such as proteomics and

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Mature spermatozoa contain numerous epididymal and seminal plasma proteins, which full identification through high-throughput technologies may allow for a better understanding of the sperm biology. Therefore, we conducted a global proteomic analysis of boar spermatozoa through shotgun and gel-based methodologies.

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Interstitial lung diseases (ILDs), a diverse group of diffuse lung diseases, mainly affect the lung parenchyma. The low-throughput ‘omics’ technologies (genomics, transcriptomics, proteomics) and relative drug information have begun to reshaped our understanding of ILDs, whereas, these data are scattered among massive references and are difficult to be fully exploited.

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Next-generation sequencing (NGS) technologies have resulted in petabytes of scattered data, decentralized in archives, databases and sometimes in isolated hard-disks which are inaccessible for browsing and analysis. It is expected that curated secondary databases will help organize some of this Big Data thereby allowing users better navigate, search and compute on it.

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The identification of new diagnostic or prognostic biomarkers is one of the main aims of clinical cancer research. Technologies like mass spectrometry are commonly being used in proteomic research. Mass spectrometry signals show the proteomic profiles of the individuals under study at a given time.

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Clinical data, such as patient history, laboratory analysis, ultrasound parameters-which are the basis of day-to-day clinical decision support-are often used to guide the clinical management of cancer in the presence of microarray data. Several data fusion techniques are available to integrate genomics or proteomics data, but only a few studies have created a single prediction model using both gene expression and clinical data.

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Recent advances in sequencing technologies have led to an explosion in the number of genomes available, but accurate genome annotation remains a major challenge.

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Salivary bioscience technologies such as electrophoresis are widely applied for diagnosing systemic health status. Diagnosis using a saliva sample has emerged as a preferred technique since the sample is easy to collect and the method is inexpensive and non-invasive. Salivary diagnostics have even been identified as potential substitutes for serum protein biomarkers.

9p vihasaki2711 12-11-2019 16 0   Download

Chapter 10 introduce to the genomes and proteomes. The main contents of this chapter include all of the following: Large-scale genome mapping and analysis, major insights from the human and model organism genome sequences, global analysis of genes and their mRNAs, global analysis of proteomes, repercussions of the human genome project and high-throughput technology.

55p tangtuy04 12-03-2016 48 4   Download