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Related Concept Videos

Genomics02:02

Genomics

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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Proteomics01:33

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A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
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Related Experiment Video

Updated: Oct 4, 2025

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
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SM-Omics is an automated platform for high-throughput spatial multi-omics.

S Vickovic1,2,3,4, B Lötstedt5,6,7, J Klughammer5

  • 1Klarman Cell Observatory Broad Institute of MIT and Harvard, Cambridge, MA, USA. vickovic@broadinstitute.org.

Nature Communications
|February 11, 2022
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Summary

Spatial Multi-Omics (SM-Omics) offers automated, high-throughput spatial transcriptomics and protein analysis. This scalable platform enables simultaneous measurement of RNA and proteins within tissues, advancing multi-omics research.

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Area of Science:

  • Biotechnology
  • Molecular Biology
  • Genomics

Background:

  • Cellular and molecular spatial organization is crucial for tissue function in health and disease.
  • Spatial transcriptomics enables RNA analysis directly within tissue contexts.
  • Existing methods require advancement for high-throughput, multi-omic spatial analysis.

Purpose of the Study:

  • To introduce Spatial Multi-Omics (SM-Omics), a fully automated, high-throughput platform.
  • To enable combined, spatially resolved transcriptomics and protein measurements.
  • To demonstrate the broad utility of SM-Omics for scalable spatial multi-omics.

Main Methods:

  • Development of an all-sequencing based platform integrating spatial transcriptomics and antibody-based protein detection.
  • Utilization of DNA-barcoded antibodies and immunofluorescence for multiplex protein analysis.
  • High-throughput processing of up to 64 in situ spatial reactions or 96 sequencing-ready libraries within approximately two days.

Main Results:

  • Demonstration of SM-Omics in mouse brain, spleen, and colorectal cancer models.
  • Successful integration of spatial transcriptomics with multiplex spatial protein detection.
  • Validation of SM-Omics as a scalable and efficient platform for spatial multi-omics.

Conclusions:

  • SM-Omics significantly advances high-throughput spatial multi-omics capabilities.
  • The platform facilitates comprehensive analysis of tissue architecture and function.
  • SM-Omics is broadly applicable across various biological systems and disease models.