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Related Concept Videos

Proteomics01:33

Proteomics

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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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Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
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The technique...
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Genomics02:02

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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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RNA-seq03:21

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
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Updated: Sep 3, 2025

Mass Spectrometry-Based Proteomics Analyses Using the OpenProt Database to Unveil Novel Proteins Translated from Non-Canonical Open Reading Frames
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Proteotranscriptomics - A facilitator in omics research.

Michal Levin1, Falk Butter1

  • 1Institute of Molecular Biology (IMB), 55128 Mainz, Germany.

Computational and Structural Biotechnology Journal
|July 27, 2022
PubMed
Summary
This summary is machine-generated.

Proteotranscriptomics combines transcriptome and proteome data for accurate gene annotation, especially in complex genomes. This approach overcomes limitations of genomic data alone, improving gene model quality for omics research.

Keywords:
Gene annotationProteomicsProteotranscriptomicsTranscriptomics

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Area of Science:

  • Genomics
  • Proteomics
  • Transcriptomics
  • Bioinformatics

Background:

  • High-quality gene annotation is crucial for omics research, including comparative transcriptomics and proteomics.
  • Genome assemblies often lack reference quality, presenting challenges for accurate gene prediction due to gaps and introns.
  • Solely relying on genomic data for gene annotation is limited by the complexity of splice sites and non-contiguous assemblies.

Purpose of the Study:

  • To outline the principles of the proteotranscriptomics approach for gene annotation.
  • To discuss common challenges encountered in proteotranscriptomics.
  • To suggest methods for improving the proteotranscriptomics workflow.

Main Methods:

  • Utilizing transcriptome data, which lacks introns, as an optimal basis for identifying open reading frames.
  • Integrating proteomics data to validate predicted protein-coding genes.
  • Comparing transcriptome and proteome data for comprehensive gene model enrichment.

Main Results:

  • Transcriptome data provides a more accurate basis for open reading frame identification compared to fragmented genomic data.
  • Proteomics data validation significantly enhances the accuracy and completeness of predicted gene models.
  • The proteotranscriptomics approach offers improved gene annotation coverage and quality.

Conclusions:

  • Proteotranscriptomics is a powerful strategy for accurate gene annotation, particularly in complex or low-quality genome assemblies.
  • Combining transcriptomic and proteomic data effectively addresses the limitations of analyzing genomic sequences alone.
  • Further methodological improvements can enhance the utility of proteotranscriptomics in diverse omics applications.