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Single-Cell Multiomics

Overview
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Single-cell multiomics (scM) is a cutting-edge approach that promises to revolutionize how we perceive and dissect cellular biology. Multiomics, the integration of genomic, transcriptomic, proteomic and other omics data, might initially seem redundant. Why go through the trouble of integrating multiple layers of molecular information when one omic could theoretically capture it all? The answer lies in the complexity of biological networks. Each omic readout provides valuable insights, but no single “ome” can fully unravel the intricate web of cellular processes. For example, while DNA dictates the potential of a cell, not all genes are transcribed into RNA and not all RNA is translated into proteins. Each criterion provides more information about the overall functioning of the cell.

Why Multiomics Matters Now

Multiomics methods offer more robust classifiers for biological samples, aiding in tasks such as cancer subtype identification and patient stratification. Beyond classification, multiomics provides a deeper understanding of genotype-phenotype relationships, unlocking insights into the fundamental mechanisms underlying biological traits and diseases.

 

In recognition of its significance, single-cell multimodal omics was named Nature Method of the Year in 2019, underscoring its pivotal role in advancing biological research. As we delve deeper into the realm of single-cell multiomics, we unlock new vistas of understanding, paving the way for breakthroughs in personalized medicine, disease treatment and beyond.

 

Check out BD tools for single cell-multiomics instrumentsscM reagents and scM informatics analysis solutions.

The Five Omes

Genomics

 

Genomics is the study of an organism's DNA by deciphering the sequence of nucleotide bases comprising an organism's genome. Researchers gain invaluable insights into genetic variation, heredity and evolutionary relationships.

 
Genomics
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Epigenomics

 

Epigenomics explores the dynamic modifications to DNA and associated proteins that regulate gene expression without altering the underlying genetic code. Epigenetic mechanisms such as DNA methylation, histone modification and non-coding RNA regulation play pivotal roles in orchestrating cellular differentiation, development and response to environmental cues.

 

Explore BD solutions for single-cell epigenomics.

 
Epigenomics
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Proteomics

 

Proteomics investigates the entire complement of proteins present within a biological sample. Proteins are the workhorses of the cell, executing diverse functions ranging from catalysis and signaling to structural support and defense. Proteomic analyses offer insights into protein abundance, post- translational modifications and protein-protein interactions.


Explore BD solutions for single-cell proteomics for cell surface proteins and intracellular proteins.

 
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Metabolomics

 

Metabolomics is the study of small molecule metabolites that serve as the building blocks of cellular metabolism. Metabolites encompass a diverse array of compounds, including amino acids, lipids, sugars and neurotransmitters. Metabolomics elucidates metabolic pathways, metabolic fluxes and metabolic signatures associated with physiological states, environmental exposures and disease phenotypes.

 

Learn more about the latest trends in single cell multiomics on our blog page.

 
Metabolomics
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Application
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Overview
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Immuno-Oncology
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T Cell Research
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Innate Immune System
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Metabolic Disease Research
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For Research Use Only. Not for use in diagnostic or therapeutic procedures.