GUIDE TO MULTIOMICS
Guide to Multiomics
Overview
Multiomics approaches have become increasing prevalent in life science research, enabling comprehensive insights across the central dogma of biology. Research strategies that have combined genomics, transcriptomic, proteomic, metabolomic, and microbiome sequencing technologies have uncovered novel insights into disease mechanisms and enhanced our understanding of complex biological systems. In this guide we discuss each of these omic technologies and provide examples that highlight the utility of these technologies in multiomic research. We also discuss the applications and challenges of multiomics research to provide you with a holistic understanding of the state of this work today.
Chapters Guide
Chapter 1: Introduction to Multiomics
In this chapter, we provide a brief overview of multiomics, including individual omics modalities, the importance of multiomics studies, and the future of multiomics research.
Chapter 2: Designing a Multiomics Study
In this chapter, we provide an overview of some of the key challenges associated with analyzing multiomics datasets and how to design a robust multiomics study with these challenges in mind.
In this chapter, we provide a brief overview of genomics—the omics modality concerned with the contents of the genome—and related areas, including epigenomics and metagenomics. We will discuss the evolution of technologies for studying the genome, practical experimental considerations, and a few case studies for genomics in multiomics workflows.
This chapter defines transcriptomics—the modality concerned with messenger RNA (mRNA). We will discuss the techniques used and the applications of insights gained through transcriptomics. We also discuss three case studies that highlight the utility of transcriptomics in multiomics studies.
In this chapter, we provide a brief overview of proteomics, the modality concerned with the abundance of protein species in cells and tissues, including analyzing protein interactions. We will discuss the role of proteomics in multiomic studies, the technology to perform proteomics experiments, and experimental considerations. We also discuss three case studies that highlight the utility of proteomics across infectious disease and oncology research.
In this chapter, we provide an overview of metabolomics — the omics modality concerned with the metabolome — as well as examine the technologies that enable this field of study to deliver novel biological insights that aid healthcare and agriculture. We will also discuss four case studies that demonstrate the role that metabolomics plays in medical research and applied science.
In this chapter, we provide a brief overview of microbiome research, an area of study concerned with profiling microbial communities present in specific samples. This chapter discusses the various omics techniques that can be used to study the microbiome and understand its relationship to a variety of ecosystems—including the human body. Selected case studies highlight how the microbiome supplements multiomics workflows to answer a variety of scientific questions.
Chapter 8: Future of Multiomics
This chapter explores the future of multiomics research. We highlight the ways in which multiomics will advance human medicine into the precision medicine era and explore two enabling, emerging technologies: single-cell and spatial omics.
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Once you see the full value of metabolomics, the only remaining question is who does it best? While many laboratories have metabolite profiling or analytical chemistry capabilities, comprehensive metabolomics technologies are extremely rare. Accurate, unbiased metabolite identification across the entire metabolome introduces signal-to-noise challenges that very few labs are equipped to handle. Also, translating massive quantities of data into actionable information is slow, if not impossible, for most because proper interpretation takes two things that are in short supply: experience and a comprehensive database.
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Coverage
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Capacity
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A library of 5,400+ known metabolites, 2,000 in human plasma, all referenced in the context of biochemical pathways
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- 10,000+ projects with hundreds of clients
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- Nearly 40 PhDs in data science, molecular biology, and biochemistry
Using our robust platform and visualization tools, our experts are uniquely able to tell you more about your molecule and develop assay panels to help you zero in on the results you need.
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