World's Best Scientists 2026 revealed!

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Engineering and Technology

D-Index
35
Citations
13491
World Ranking
8848
National Ranking
2456

Research.com Recognitions

  • 2011 - Fellow of Alfred P. Sloan Foundation

Overview

Georg Seelig is affiliated with the University of Washington in the United States and works primarily in the field of Biochemistry, Genetics, and Molecular Biology. Their research encompasses significant contributions in molecular biology with a focus on RNA and protein synthesis mechanisms, RNA research and splicing, and single-cell and spatial transcriptomics.

Their involvement in multiple interdisciplinary topics includes:

  • RNA and protein synthesis mechanisms
  • RNA research and splicing
  • Single-cell and spatial transcriptomics
  • Advanced biosensing and bioanalysis techniques
  • RNA modifications and cancer
  • DNA and biological computing
  • Genomics and chromatin dynamics

Seelig's publication record features recent papers such as:

  • Microbial single-cell RNA sequencing by split-pool barcoding (2021, Science)
  • Spatial and cell type transcriptional landscape of human cerebellar development (2021, Nature Neuroscience)
  • A Generative Neural Network for Maximizing Fitness and Diversity of Synthetic DNA and Protein Sequences (2020, Cell Systems)
  • Quantifying molecular bias in DNA data storage (2020, Nature Communications)
  • Machine Learning for Designing Next-Generation mRNA Therapeutics (2021, Accounts of Chemical Research)

Frequent co-authors include Johannes Linder, Yuan-Jyue Chen, Sebastian M. Castillo-Hair, Alexander Rosenberg, and Karin Strauß, each contributing consistently across various projects. Publications have appeared predominantly in:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Communications
  • Cell Systems
  • Molecular Cell
  • Science

Seelig's subfields of study highlight specialization in molecular biology alongside contributions to ecology, mechanical engineering, cancer research, and biophysics. Their work has achieved recognition including becoming a Fellow of the Alfred P. Sloan Foundation in 2011.

Best Publications

  • Dynamic DNA nanotechnology using strand-displacement reactions

    David Yu Zhang;Georg Seelig

  • Enzyme-Free Nucleic Acid Logic Circuits

    Georg Seelig;David Soloveichik;David Yu Zhang;Erik Winfree

  • Single-cell profiling of the developing mouse brain and spinal cord with split-pool barcoding

    Alexander B. Rosenberg;Charles M. Roco;Richard A. Muscat;Anna Kuchina

  • DNA as a Universal Substrate for Chemical Kinetics

    David Soloveichik;Georg Seelig;Erik Winfree

  • Random access in large-scale DNA data storage

    Lee Organick;Siena Dumas Ang;Yuan Jyue Chen;Randolph Lopez

  • DNA nanotechnology from the test tube to the cell.

    Yuan-Jyue Chen;Benjamin Groves;Richard A. Muscat;Georg Seelig

  • Programmable chemical controllers made from DNA

    Yuan-Jyue Chen;Neil Dalchau;Niranjan Srinivas;Andrew Phillips

  • Human 5′ UTR design and variant effect prediction from a massively parallel translation assay

    Paul J Sample;Ban Wang;David W Reid;Vlad Presnyak

  • A DNA-Based Archival Storage System

    James Bornholt;Randolph Lopez;Douglas Carmean;Luis Ceze

  • Enzyme-free nucleic acid dynamical systems.

    Niranjan Srinivas;James Parkin;Georg Seelig;Erik Winfree

  • De novo design of protein homo-oligomers with modular hydrogen-bond network-mediated specificity.

    Scott E. Boyken;Zibo Chen;Benjamin Groves;Robert A. Langan

  • A spatially localized architecture for fast and modular DNA computing

    Gourab Chatterjee;Neil Dalchau;Richard A. Muscat;Andrew Phillips

  • Microbial single-cell RNA sequencing by split-pool barcoding

    Anna Kuchina;Leandra M. Brettner;Luana Paleologu;Charles M. Roco

  • Computing in mammalian cells with nucleic acid strand exchange

    Benjamin Groves;Yuan-Jyue Chen;Chiara Zurla;Sergii Pochekailov

  • Deep learning of the regulatory grammar of yeast 5' untranslated regions from 500,000 random sequences.

    Josh T. Cuperus;Benjamin Groves;Anna Kuchina;Alexander B. Rosenberg

  • A Deep Neural Network for Predicting and Engineering Alternative Polyadenylation.

    Nicholas Bogard;Johannes Linder;Alexander B. Rosenberg;Georg Seelig

  • Catalyzed relaxation of a metastable DNA fuel

    Georg Seelig;Bernard Yurke;Erik Winfree

  • Spin interactions and switching in vertically tunnel-coupled quantum dots

    Guido Burkard;Georg Seelig;Daniel Loss

  • Charge-fluctuation-induced dephasing in a gated mesoscopic interferometer

    Georg Seelig;Markus Buttiker

  • DNA assembly for nanopore data storage readout.

    Randolph Lopez;Yuan Jyue Chen;Siena Dumas Ang;Sergey Yekhanin

  • A Generative Neural Network for Maximizing Fitness and Diversity of Synthetic DNA and Protein Sequences.

    Johannes Linder;Nicholas Bogard;Alexander B. Rosenberg;Georg Seelig

  • An Engineered Kinetic Amplification Mechanism for Single Nucleotide Variant Discrimination by DNA Hybridization Probes

    Sherry Xi Chen;Georg Seelig

Frequent Co-Authors

Luis Ceze
Luis Ceze University of Washington
Karin Strauss
Karin Strauss Microsoft (United States)
Erik Winfree
Erik Winfree California Institute of Technology
William B. Dobyns
William B. Dobyns University of Minnesota
Ian A. Glass
Ian A. Glass University of Washington
Julie A. Theriot
Julie A. Theriot University of Washington
Kathleen J. Millen
Kathleen J. Millen Seattle Children's Hospital
Markus Büttiker
Markus Büttiker University of Geneva
Jay Shendure
Jay Shendure University of Washington
Konstantin Makarychev
Konstantin Makarychev Northwestern University

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