A project led by Eric Sundstrom, a research scientist at the Advanced Biofuels and Bioproducts Process Development Unit (ABPDU), combines biology and electrochemistry to produce complex molecules, all powered by renewable energy. Sundstrom spoke with Berkeley Lab on how this technology could help combat climate change.
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The ABPDU and TeselaGen Biotechnology announced today a partnership to advance fermentation processing for next-generation renewable bioproducts. Under terms of the agreement, ABPDU will deploy the TeselaGen® artificial intelligence-enabled operating system for biotechnology and will use its data acquisition capabilities to organize complex datasets as its workflows scale from early-stage processes and into larger bioreactors.
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In the latest episode of JGI’s monthly podcast, Genome Insider, Alison Takemura interviews Setsuko Wakao and Kris Niyogi, biologists at UC Berkeley and in Berkeley Lab’s Molecular Biophysics and Integrated Bioimaging (MBIB) Division. In this 20-minute episode, they discuss their research on a tiny group of algae with insanely gorgeous exterior shells.
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Mina Bissell, Distinguished Senior Scientist in the Biological Systems and Engineering (BSE) Division, has been selected as this year’s recipient of the AACR Princess Takamatsu Memorial Lectureship. Bissell’s work in BSE involves describing ways in which the microenvironment, or context, of cells can influence tumor growth and extracellular matrix in the regulation of gene expression and tumorigenesis, and for the invention of a 3-D organoid culture technology. Above and beyond these scientific contributions, Bissell continually demonstrates a commitment to supporting collaborative research and mentoring early career investigators.
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The Agile BioFoundry and Lygos, Inc. are joining forces to generate the largest multi-omics dataset for guiding the development of organic acids. Over the course of the project, scientists will produce more than 500,000 data points from a series of experiments. ABF is now using its artificial neural networks to train machine learning algorithms and provide actionable recommendations to help optimize strain performance, increase operational efficiencies and enhance production.
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