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Related Concept Videos

Next-generation Sequencing03:00

Next-generation Sequencing

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The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
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RNA-seq03:21

RNA-seq

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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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Sanger Sequencing01:57

Sanger Sequencing

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DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
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Updated: Mar 6, 2026

Identification of Footprints of RNA:Protein Complexes via RNA Immunoprecipitation in Tandem Followed by Sequencing RIPiT-Seq
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Generalizable Direct Protein Sequencing With InstaNexus.

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Molecular & Cellular Proteomics : MCP
|March 4, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a new AI-powered workflow for direct protein sequencing, overcoming limitations of current methods for characterizing therapeutic proteins. The approach enables accurate reconstruction of protein sequences, advancing precision proteomics.

Keywords:
de novo sequencingprotein assemblyprotein sequencingsample preparationtherapeutics

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Area of Science:

  • Proteomics
  • Biotechnology
  • Computational Biology

Background:

  • Accurate protein sequencing is crucial for biological research and therapeutic development.
  • Protein-based therapeutics like antibodies are not genomically encoded, complicating their characterization using standard proteomics.
  • Existing methods for protein characterization are indirect, fragmented, labor-intensive, and limit functional insights.

Purpose of the Study:

  • To develop a generalizable, end-to-end workflow for direct protein sequencing.
  • To enable accurate characterization of protein-based therapeutics and other non-genomic proteins.
  • To improve functional insights and routine application of protein analysis.

Main Methods:

  • Streamlined sample preparation for direct protein sequencing.
  • AI-driven de novo peptide sequencing for fragment analysis.
  • Tailored assembly algorithms and a novel composite scoring framework for sequence reconstruction.

Main Results:

  • Successfully reconstructed contiguous protein sequences from diverse protein modalities.
  • Demonstrated robust sequencing of functionally critical protein regions.
  • The workflow enhances accuracy and reduces ambiguity in protein sequence determination.

Conclusions:

  • The presented workflow offers a significant advance in precision proteomics.
  • It provides a generalizable and accurate method for direct protein sequencing.
  • Potential applications include therapeutic discovery, immune profiling, and broader protein science.