Happy to share that work led by graduate students Zack Harmer and Jaron Thompson, with significant contributions from David Cole, is now out in the journal ACS Synthetic Biology. This work developed out of a productive collaboration with the research groups of Victor M Zavala and Ophelia Venturelli. Optogenetics leverages genetically encoded light-sensitive proteins to precisely control cellular behavior in response to light. An emerging limitation of optogenetics is that available wavelengths to stimulate these systems are limited, with many systems responding to blue light. In this work, we leverage Zack Harmer's previously published high-throughput optogenetics platform Lustro (https://lnkd.in/g6a5KrWA) and machine learning tools to enable multiplexed control over blue light sensitive optogenetic systems. We do this by leveraging the intensity and the dynamics of light delivery (rather than simply wavelength) as inputs to differentially control optogenetic split transcription factors. Lustro allowed rapid characterization of the response of 15 blue light-sensitive split transcription factors to different intensity, duty cycle, amplitude, and period of light delivery. From this initial characterization we were able to empirically identify pairs of split transcription factors that can be sequentially activated (where a first light program preferentially activates one optogenetic system and the second program activates both). We were also able to identify pairs of split transcription factors suitable for multiplexed control (where one system is more highly activated than another with one light condition, but under a different light condition, they switch and the second optogenetic system is more highly activated.) Using the high-throughput data that Lustro can generate, the Zavala lab built a Bayesian optimization framework that incorporates data-driven learning, uncertainty quantification, and experimental design to enable the prediction of system behavior and the identification of optimal conditions for multiplexed control. This work lays the foundation for more advanced synthetic biology driven by controllable optogenetic systems. For example, multiple synthetic biological circuit programs could be controlled using bespoke light induction programs. This has broad implications for biotechnology and bioengineering, by expanding how much biology can be controlled by a limited number of available inputs. This work was funded by the National Science Foundation, the National Institutes of Health, the Army Research Office, and the Burroughs Wellcome Fund. More details can be found in the research article (https://lnkd.in/gkEkc3mM) or in the press release from the University of Wisconsin-Madison College of Engineering (https://lnkd.in/gXEMzMm7) #syntheticbiology #machinelearning #bioengineering #datascience
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It's hard to find something you're not looking for, and research is no exception. Susan Sharfstein, Ph.D., argues that narrowly focused, hypothesis-based research into cell line development may lead scientists to miss key insights into cellular biology. She recommends taking a discovery-based, multiomics approach -- looking more broadly at cellular behavior and physiology to further our understanding of biology, which can ultimately inform cell line development strategy. In other words, let's not underestimate what we can learn from nature's protein factories! #biotech #biology #research #CellLineDevelopment https://lnkd.in/eVfRJmg3
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🧬🔍 The Molecular Biology Online Tool market is witnessing remarkable growth, as highlighted in the latest research report! As the demand for advanced bioinformatics solutions escalates, these tools are becoming indispensable for researchers and scientists in understanding complex biological processes. The ability to analyze molecular data efficiently is transforming the landscape of life sciences, driving innovation in drug discovery, genomics, and personalized medicine. This surge in the market reflects a broader trend towards integrating technology with biological research, enhancing our capability to tackle some of the most pressing health challenges. Let’s stay at the forefront of this exciting evolution in molecular biology! Source: https://lnkd.in/da-T27vC #MolecularBiology #Bioinformatics #ResearchInnovation #LifeSciences #TechnologyInScience
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𝗛𝗼𝘄 𝘁𝗼 𝘂𝘀𝗲 𝘀𝗽𝗮𝘁𝗶𝗮𝗹 𝘁𝗿𝗮𝗻𝘀𝗰𝗿𝗶𝗽𝘁𝗼𝗺𝗶𝗰𝘀 𝘁𝗼 𝘃𝗶𝗲𝘄 𝘀𝗶𝗻𝗴𝗹𝗲 𝗽𝗹𝗮𝗻𝘁 𝗰𝗲𝗹𝗹𝘀 𝗶𝗻 𝘀𝗶𝘁𝘂 Spatial transcriptomics is powerful tool enabling scientists to map the location of gene activity in tissue samples. In 2023 the Earlham Institute was the first site in the UK to obtain the Vizgen MERSCOPE platform, and has since gone on to develop methods for difficult sample types. Ashleigh Lister is a Senior Research Assistant in the Macaulay group. She has pioneered the development of these techniques for plant tissues. "Historically, sequencing #singlecells requires their original tissue to be dissociated allowing us to isolate them individually. Although we can learn a lot from this type of sequencing, this dissociation and mixing up can have many disadvantages. A big one is that it confuses the overall picture, or story, of what is happening in that tissue, and therefore that organism. "The technique of spatial transcriptomics means the cells are left in situ, undisturbed in their natural positions, alongside their neighbours." In a new technical article, Ashleigh shares her first-hand experience of the workflow, some top tips, and methods for using this technology to view single plant cells in situ. https://okt.to/OcbuiK Thanks go to BBSRC for providing funding for the platform and supporting the research Ashleigh contributes to.
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How we process spatial transcriptomics samples. Check out my technical blog post! ,🔬🧑🔬
𝗛𝗼𝘄 𝘁𝗼 𝘂𝘀𝗲 𝘀𝗽𝗮𝘁𝗶𝗮𝗹 𝘁𝗿𝗮𝗻𝘀𝗰𝗿𝗶𝗽𝘁𝗼𝗺𝗶𝗰𝘀 𝘁𝗼 𝘃𝗶𝗲𝘄 𝘀𝗶𝗻𝗴𝗹𝗲 𝗽𝗹𝗮𝗻𝘁 𝗰𝗲𝗹𝗹𝘀 𝗶𝗻 𝘀𝗶𝘁𝘂 Spatial transcriptomics is powerful tool enabling scientists to map the location of gene activity in tissue samples. In 2023 the Earlham Institute was the first site in the UK to obtain the Vizgen MERSCOPE platform, and has since gone on to develop methods for difficult sample types. Ashleigh Lister is a Senior Research Assistant in the Macaulay group. She has pioneered the development of these techniques for plant tissues. "Historically, sequencing #singlecells requires their original tissue to be dissociated allowing us to isolate them individually. Although we can learn a lot from this type of sequencing, this dissociation and mixing up can have many disadvantages. A big one is that it confuses the overall picture, or story, of what is happening in that tissue, and therefore that organism. "The technique of spatial transcriptomics means the cells are left in situ, undisturbed in their natural positions, alongside their neighbours." In a new technical article, Ashleigh shares her first-hand experience of the workflow, some top tips, and methods for using this technology to view single plant cells in situ. https://okt.to/OcbuiK Thanks go to BBSRC for providing funding for the platform and supporting the research Ashleigh contributes to.
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📢 II Division of Biological and Agricultural Sciences, Polish Academy of Sciences, awarded the team from the Nencki Institute for outstanding scientific achievements! 🔸The prize was awarded to Karolina Stępniak, 𝐏𝐡𝐃, 𝐌𝐚𝐠𝐝𝐚𝐥𝐞𝐧𝐚 𝐌𝐚𝐜𝐡𝐧𝐢𝐜𝐤𝐚, 𝐏𝐡𝐃, Jakub Mieczkowski, PhD, 𝐏𝐡𝐃, 𝐃𝐒𝐜, Marta Maleszewska, 𝐏𝐡𝐃, 𝐀𝐝𝐫𝐢𝐚-𝐉𝐚𝐮𝐦𝐞 𝐑𝐨𝐮𝐫𝐚, 𝐏𝐡𝐃, 𝐁𝐚𝐫𝐭𝐨𝐬𝐳 𝐖𝐢𝐥𝐜𝐳𝐲ń𝐬𝐤𝐢, 𝐏𝐡𝐃, 𝐃𝐒𝐜, Bartosz Wojtas, 𝐏𝐡𝐃, 𝐃𝐒𝐜, 𝐏𝐫𝐨𝐟. Bozena Kaminska-𝐊𝐚𝐜𝐳𝐦𝐚𝐫𝐞𝐤, 𝐏𝐡𝐃, 𝐃𝐒𝐜 for the scientific achievement: "𝘛𝘩𝘦 𝘳𝘰𝘭𝘦 𝘰𝘧 𝘦𝘱𝘪𝘨𝘦𝘯𝘦𝘵𝘪𝘤 𝘥𝘪𝘴𝘰𝘳𝘥𝘦𝘳𝘴 𝘢𝘯𝘥 𝘴𝘦𝘭𝘦𝘤𝘵𝘦𝘥 𝘨𝘦𝘯𝘦 𝘦𝘹𝘱𝘳𝘦𝘴𝘴𝘪𝘰𝘯 𝘳𝘦𝘨𝘶𝘭𝘢𝘵𝘰𝘳𝘺 𝘱𝘢𝘵𝘩𝘸𝘢𝘺𝘴 𝘪𝘯 𝘵𝘩𝘦 𝘱𝘢𝘵𝘩𝘰𝘨𝘦𝘯𝘦𝘴𝘪𝘴 𝘰𝘧 𝘮𝘢𝘭𝘪𝘨𝘯𝘢𝘯𝘵 𝘨𝘭𝘪𝘰𝘮𝘢𝘴". Congratulations! 👏👏👏 ➡ The work presented for the award by scientists from the Nencki Institute was performed using modern next-generation sequencing (NGS) technologies and state-of-the-art computational methods. 📄 The results have been published in prestigious international journals: Nature Communications 2021, Clinical Epigenetics 2021, Glia 2023. ✨ This interdisciplinary research has used novel targeted DNA sequencing technologies and transcriptome and epigenome analyses to answer many previously unanswered questions and provided extremely important data on the pathogenesis of gliomas in the context of their invasiveness and resistance to therapy.
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Biosciencephile International Journal is a multidisciplinary, open-access publication dedicated to exploring cutting-edge research in biosciences with a broad scope that spans from molecular biology to ecosystem dynamics. Emphasizing the intersection of traditional biosciences with emerging technologies, the journal provides a platform for novel insights into areas like biotechnology, genomics, pharmacology, and bioinformatics. A unique feature of the journal is its focus on the integration of Artificial Intelligence (AI) in bioscience research.
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Biosciencephile International Journal is a multidisciplinary, open-access publication dedicated to exploring cutting-edge research in biosciences with a broad scope that spans from molecular biology to ecosystem dynamics. Emphasizing the intersection of traditional biosciences with emerging technologies, the journal provides a platform for novel insights into areas like biotechnology, genomics, pharmacology, and bioinformatics. A unique feature of the journal is its focus on the integration of Artificial Intelligence (AI) in bioscience research.
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🌟 Unlocking the Mysteries of Life at the Cellular and Molecular Level 🌟 🔬 As someone deeply fascinated by the intricate workings of life, I am excited to share some insights from my journey in the field of Cellular and Molecular Biology. 🌱 Why Cellular and Molecular Biology? This field allows us to explore the fundamental processes that govern life. From understanding how cells communicate to unraveling the complexities of DNA and protein interactions, cellular and molecular biology provides the foundation for advancements in medicine, biotechnology, and beyond. 💡 Key Areas of Interest: Gene Expression and Regulation: Investigating how genes are turned on and off, and how this impacts cellular function and development. Cell Signaling Pathways: Understanding how cells communicate and respond to their environment, crucial for comprehending diseases like cancer. Molecular Genetics: Delving into the genetic blueprints that shape organisms, leading to breakthroughs in gene therapy and personalized medicine. Structural Biology: Studying the 3D structures of biomolecules to understand their functions and interactions, aiding drug design. 🌍 Impact on the World: The research and discoveries in this field are not just academic. They pave the way for real-world applications such as: Developing targeted therapies for diseases Enhancing agricultural productivity through genetic engineering Creating sustainable biofuels Innovating new diagnostic tools 🔗 Join the Conversation: I invite fellow scientists, researchers, and enthusiasts to connect and share their experiences and insights. Let's collaborate to push the boundaries of what we know about life at its most fundamental level. #CellularBiology #MolecularBiology #Biotech #Genetics #Research #Science #Innovation #Healthcare
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How to Engineer Cells to Grow Faster. Yesterday, Asimov Press published an essay about efforts to make microbes divide more quickly; ideally in a few minutes. (Human cells take many hours.) But the essay was long (~5,000 words), so here is a summary. The Problem Biology research takes too long. Cloning a piece of DNA—arguably the backbone of all modern molecular biology research—takes days or weeks of effort. Faster-growing cells means more experiments, more iterations, more shots on target—faster. Some microbes already grow quickly. E. coli, the most commonly studied bacterium, divides every 20 minutes. Vibrio natriegens, a bacterium discovered in salt marshes in the 1960s, divides every 9.4 minutes. But we can go even faster. Biophysical Limits #1. Genome size. Larger genomes take longer to replicate. In microbes, DNA polymerases copy about 1,000 letters of DNA/second. #2: Ribosome synthesis. Ribosomes are large complexes that build proteins. They take a lot of time and resources to make. It takes E. coli about 8 minutes to make just one ribosome. And it must make >10,000 of them before the cell can divide and make a "daughter." #3: Protein folding. Some proteins take as long to fold into their final shape as an entire E. coli cell takes to divide. Helical twistsform faster than β-sheets, for example. Now, here's how we can engineer cells to overcome these bottlenecks. #1: Minimal genomes. Remove non-essential genes to cut replication times. Scientists have already made a "minimal" Mycoplasma cell and have drafted plans to cut out 85 percent of genes in Bacillus subtilis microbes. But this has unintended consequences. The minimal Mycoplasma takes twice as long to divide as wildtype cells. And the minimal Bacillus cell is estimated to have a doubling time of nearly one hour—far longer than the 20-minute division time of the original bacterium. This is because many non-essential genes are actually essential in certain contexts. E. coli’s genome encodes two enzymes to make the amino acid asparagine. Remove either one of the genes and the bacteria cope fine. Remove both, however, and they die. #2: Extra origins of replication. Synthetic biologists at Yonsei University in South Korea added two extra origins to E. coli. In a slow-dividing strain called MG1655, which normally takes one hour to double up, the additional origins shaved 4 minutes off the doubling time. #3: Shrink ribosomes. Bobody has tried this yet (that we know of), but researchers once compared ribosomes from many different organisms to figure out which parts are not "conserved," and might therefore be jettisoned. They found 27 ribosomal proteins that are not conserved. If deleted, the "lean" ribosomes could be made in just 4 minutes. We publish a new essay every week at Asimov Press. Follow us to get them in your email inbox. Here's the full article: https://lnkd.in/dF36_MXk
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A new paradigm shift in molecular biology! The more we learn about regulatory biology, the clearer it gets around how RNA is emerging as the next frontier. Looking forward to the next wave of editing therapeutics and beyond. And yes, we don’t edit germline DNA in chronic settings. Also instructions are sequence of letters or bag of words or tokens. 😉 The new dogma now reads. DNA <—> RNA—> Control—> Protein—> Phenotype Nice Lego analogy! 😃 “I now have extensive experience with Lego in building entire cities for my grandchildren. Lego sets come with a set of colored plastic parts and a set of instructions to assemble them. In this analogy, the plastic parts are the proteins, limited in number, each with a defined form. The instructions are the regulatory RNAs. With the same parts, you can build either a simple or complex structure. Change the instructions, and you change the structure. A single error in the instructions (or much less frequently in a building block) results in a fault in the final structure. There are many more words in the instructions than there are in the different types of building blocks. Most organisms produce very similar sets of proteins but differ markedly in the way those proteins are used. Kits for complex structures, like Ninjago sets, also include a minority of customized blocks analogous to specialized proteins.” https://lnkd.in/eDbvnfhb
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