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Repository series · ncbi-prjna1095688

Long-read sequencing to detect full-length protein-protein interactions

QatarHuman health and population genomicsRepository record

Given the increased predictions on interactome size and demand for protein function information, methods for detecting protein-protein interactions remain a significant development area. The all-vs.-all sequencing (AVA-Seq) method utilizes a convergent fusion plasmid design to make two-hybrid technology amenable to next-generation sequencing. Here, we further innovate to take advantage of synthetic DNA technologies and Oxford Nanopore Technologies long-read sequencing improvements to allow us to determine full-length protein-protein interactions. Here, using this approach we recovered 159 protein-protein interactions from a set of 57 human proteins using multiple forms of validation. Further, when referencing a human gold standard set of interactions, eight full-length protein-protein interactions were recovered from an expected 28 interaction pairs (28.6%), a typical recovery rate for two-hybrid technologies. The AVA-Seq, in combination with the ease of synthetic DNA production and the MinION platform, offers a low-cost, high-throughput alternative for determining protein-protein interactions, which can be utilized in research labs at all stages.

Repository interpretation

The accession and its GCC connection are verified. Registration alone does not establish that the broader research programme remains active.

01 / Project overview

What the record establishes.

Geographic scope
Qatar connection indexed in BioProject metadata
Project type
Repository project
Research domain
Human health and population genomics
Years
2024–
Lifecycle status
repository_recorded
Status basis
Registered in NCBI BioProject on 2024/04/03; operational lifecycle is not asserted.
Status evidence date
2024-04-03
Scale
1 BioProject accession grouped by matching submitter, date, data type and narrative.

02 / Organizations and population

Who and what the project connects.

Lead organizations
Weill Cornell Medicine in Qatar
Partner organizations
Not stated
Organism / population
Not stated

03 / Data and access

What exists and how it can be reached.

Data types

  • Raw sequence reads
  • Sequencing
  • Genome

Data access

Public repository metadata with linked data where supplied by the submitter

Identifiers

  • BioProjectPRJNA1095688

04 / Evidence and provenance

Why the record is included.

Inclusion basis

Exact country-name match in authoritative NCBI BioProject metadata; repeated submissions are grouped into one Atlas series.

Editorial note

Repository verification confirms the accession and regional connection, not whether the broader research programme remains active.

Sources

  1. primary record source Verified 2026-08-15

Release v0.2.0

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