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Agentic AI maps conserved protein networks across human tissues

By PulseAugur Editorial · [1 sources] ·

Researchers have developed an AI framework capable of analyzing protein co-abundance across different human tissues and fluids. This agentic AI system was used to examine all possible pairwise combinations of 41 tissues, uncovering 1,833 conserved co-abundance clusters across 406 tissue pairs. The analysis revealed unexpected relationships, such as a stronger connection between skin and bone marrow than between adjacent bone and bone marrow, and identified potential mechanistic hypotheses for diseases, including a brain-gut axis and a liver-bone marrow stress-response axis. AI

IMPACT Provides a new computational tool for biological research, potentially accelerating drug discovery and disease mechanism understanding.

RANK_REASON Research paper detailing a novel application of AI in biological data analysis. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Agentic AI maps conserved protein networks across human tissues

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Research paper detailing a novel application of AI in biological data analysis. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Runyu Guan, Dehao Wu, Qiqi Xie, Yang Li, Haohan Wang ·

    Agentic AI uncovers conserved cross-tissue protein co-abundance programs inaccessible to single-dataset analysis

    arXiv:2608.28990v1 Announce Type: new Abstract: Protein co-abundance clusters preserved across tissues can reveal shared disease mechanisms and candidate therapeutic targets, particularly when proteins implicated in organ-confined diseases converge in peripheral or accessible tis…

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