Welcome to the Recombinant Antibody Network

The Recombinant Antibody Network is a consortium of highly integrated technology centers at UCSF, the University of Chicago, and the University of Toronto, unified under a common goal to generate therapeutic grade recombinant antibodies at a proteome wide scale for biology and biomedicine.

Given that over half the human proteome is not annotated and that functional antibodies are not reliably available, a complete set of validated antibodies would greatly advance all areas of biology, including cancer therapy and infectious disease control. To undertake these challenges, RAN is systematically and comprehensively profiling families of protein targets using novel, modern high-throughput in vitro technology.

Latest Publications

Tetravalent antibodies are more potent and efficacious erythropoiesis-stimulating agents than erythropoietin in vivo

Adams J J; Blazer L L; Chung J; Karimi M; Davidson T; Blair B; Waddle C; Hokanson C A; Bruce H A; Singer A U; Tombak E; Gildemann K; Tamberg N; Kiiver K; Ustav M; Ma Y; Colombo L; Huang L J; Michnick S W; Moe O W; Sidhu S S

Tetravalent antibodies are more potent and efficacious erythropoiesis-stimulating agents than erythropoietin in vivo Journal Article

In: Protein Sci, vol. 35, no. 2, pp. e70462, 2026, ISSN: 1469-896X.

Abstract | Links

Temporal photoproximity labeling of ligand-activated EGFR neighborhoods using MultiMap

Lin Z; Ngo W; Chou Y; Wu H; Susa K J; Jun Y; Bivona T G; Doudna J A; Wells J A

Temporal photoproximity labeling of ligand-activated EGFR neighborhoods using MultiMap Journal Article

In: Nat Chem Biol, vol. 22, no. 2, pp. 192–204, 2026, ISSN: 1552-4469.

Abstract | Links

A cytokine receptor-targeting chimera toolbox for expanding extracellular targeted protein degradation

Kumru K; Yao Z; Holmes B B; Zhao F; Zhang Y; Ferrara E; Peters-Clarke T M; Leung K K; Wells J A

A cytokine receptor-targeting chimera toolbox for expanding extracellular targeted protein degradation Journal Article

In: Proc Natl Acad Sci U S A, vol. 123, no. 4, pp. e2524129123, 2026, ISSN: 1091-6490.

Abstract | Links

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