Lyophilization is a process designed to remove water from a sample or product through a controlled freezing and vacuum application. The method leverages the triple point of water, where solid, liquid, and gas phases coexist under specific temperature and pressure conditions. The result is a room temperature stable product that is much lighter than the original sample or product.
Continue reading “An Introduction to Lyophilization: Process, Benefits & Possibilities”
Neurodegenerative disorders represent a significant and growing concern in the realm of public health, particularly as global populations age. Among these, Parkinson’s disease (PD) stands out due to its increasing prevalence and profound impact on individuals. Characterized by the progressive degeneration of motor functions, PD is not just a health challenge but also poses substantial socio-economic burdens. While the etiology of Parkinson’s disease is far from simple, current research efforts elucidating its causes, mechanisms, and potential treatments illustrate the critical nature of this neurodegenerative disorder in today’s healthcare landscape.
In the clinic, Parkinson’s disease is often diagnosed as either sporadic or familial. Familial PD has a clear genetic basis, typically passed down through families, while sporadic PD, comprising about 90% of cases, occurs in individuals without a known family history of the disease. The exact cause of sporadic PD is not fully understood but is believed to be due to a combination of genetic predispositions and environmental factors. In contrast, the factors involved in familial PD are more thoroughly understood, offering insights into the molecular mechanisms underlying PD pathogenesis.
In an era where science moves at a rapid pace, integrating automation into your lab is not just beneficial but essential. When you automate your lab, you free up an invaluable resource: time. From scaling up operations and handling increased demand to improving consistency and reducing manual errors, automation can be the key to achieving higher throughput, saving costs, and—most importantly—enabling researchers to focus on the science rather than the process. However, embarking on a lab automation project requires careful planning, clear goals and an understanding of the intricacies involved in automating complex biological workflows.
Continue reading “Transform Your Research Lab with our Comprehensive Automation Resources”Artificial intelligence (AI) is not a new technological development. The idea of intelligent machines has been popular for several centuries. The term “artificial intelligence” was coined by John McCarthy for a workshop at Dartmouth College in 1955 (1), and this workshop is considered the birthplace of AI research. Modern AI owes much of its existence to an earlier paper by Alan Turing (2), in which he proposed the famous Turing Test to determine whether a machine could exhibit intelligent behavior equivalent to—or indistinguishable from—that of a human.
The explosive growth in all things AI over the past few years has evoked strong reactions from the general public. At one end of the spectrum, some people fear AI and refuse to use it—even though they may have unwittingly been using a form of AI in their work for years. At the other extreme, advocates embrace all aspects of AI, regardless of potential ethical implications. Finding a middle ground is not always easy, but it’s the best path forward to take advantage of the improvements in efficiency that AI can bring, while still being cautious about widespread adoption. It’s worth noting that AI is a broad, general term that covers a wide range of technologies (see sidebar).
For life science researchers, AI has the potential to address many common challenges; a previous post on this blog discussed how AI can help develop a research proposal. AI can help with everyday tasks like literature searches, lab notebook management, and data analysis. It is already making strides on a larger scale in applications for lab automation, drug discovery and personalized medicine (reviewed in 3–5). Significant medical breakthroughs have resulted from AI-powered research, such as the discovery of novel antibiotic classes (6) and assessment of atherosclerotic plaques (7). A few examples of AI-driven tools and platforms covering various aspects of life science research are listed here.
Continue reading “Will Artificial Intelligence (AI) Transform the Future of Life Science Research?”Identifying Inflammasome Inhibitors: What’s Missing
The NLRP3 inflammasome is implicated in a wide range of diseases. The ability to inhibit this protein complex could provide more precise, targeted relief to inflammatory disease sufferers than current broad-spectrum anti-inflammatory compounds, potentially without side effects.
Studies of NLRP3 inflammasome inhibitors have relied on cell-free assays using purified NLRP3. But cell-free assays cannot assess physical engagement of the inhibitor and target in the cellular micro-environment. Cell-free assays cannot show if an NLRP3 inhibitor enters the cell, binds the target and how long the inhibitor binding lasts.
Cell-based assays that interrogate the physical interaction of the NLRP3 target and inhibitor inside cells are needed.
Continue reading “Cell-Based Target Engagement and Functional Assays for NLRP3 Inhibitor Profiling Help Identify Successes and Failures”
Sally Seraphin’s life in the research lab started with rats and roseate terns. Chimpanzees and rhesus macaques came next, then humans (and a brief foray into voles). When she pivoted to red-eyed tree frogs, Sally once again had to learn all kinds of new techniques. Suddenly, in addition to new sample prep and analysis techniques, she needed to get up to speed on amphibian care and husbandry. That led her to the Marine Biological Laboratory (MBL) in Woods Hole, MA.
“It’s a seaside resort atmosphere with experts in every technology you can imagine,” Sally says. “It’s a place to incubate and birth new approaches to answering questions.”
Sally spent the past two summers at MBL learning everything she needed to know about breeding and caring for amphibians. During that time, she also worked closely with Applications Scientists from Promega who helped her start extracting RNA from frog samples.
“The hands-on support from industry scientists is definitely unique to Promega and MBL,” she says. “It’s rare to have a specialist on hand who can help you learn, troubleshoot and optimize in such a finite amount of time.”
Sally studies how early stress impacts brain and behavior development. She hopes to deepen our understanding of how adverse childhood experiences connect to mental illness and bodily disease later in life. In the past, she studied how factors such as parental absence affected the neurotransmission of dopamine in primates. Recently, she changed her focus to developmental timing.
“Girls who are exposed to early trauma like sexual or physical abuse will sometimes reach puberty earlier than girls who aren’t,” Sally explains. “And I noticed that there are many species that will alter their developmental timing in response to predators or social and ecological threats.”
Continue reading “Raising Frogs Takes a Village: Accelerating Amphibian Research at the Marine Biological Laboratory”
We made the cover! Of Cell Chemical Biology, that is.
This July, Cell Chemical Biology editors accepted a study from Promega scientists and invited the research team to submit cover art for the issue. The study in question details a BRET-based method to quantify drug-target occupancy within RAF-KRAS complexes in live cells. Promega scientists Matt Robers and Jim Vasta collaborated with one of our talented designers, Michael Stormberg, to craft an image that accurately represents the science in a dynamic and engaging way.
You can check out the paper and cover art in the November 16 issue of Cell Chemical Biology.
I spoke with Michael Stormberg to learn more about the creative process that went into creating this cover art and how he worked with the research team and other collaborators.
Continue reading “Designing Science: A Behind-the-Scenes Look at Our Recent Journal Cover Art”Integrating artificial intelligence (AI) into the process of scientific research offers a wealth of efficiency-boosting tools that are transforming the ways scientists can approach their work. Many are already using AI to refine code, automate data processing, and edit papers, presentations, abstracts and more. Personally, I find generative language models like ChatGPT to be invaluable “editorial assistants” in my work as a science writer, helping me work through wonky sentence structures, be more concise and get over writer’s block, to name a few applications.
But a scientist’s work doesn’t only involve writing or analyzing data, making presentations or keeping up with the literature. An essential component of any research scientist’s skillset is their ability to develop entirely new ideas and novel research proposals. Coming up with research questions and plans is a central component of graduate education and research careers, both in academia and industry.
As AI continues to advance and find broader use, a critical question arises: Can AI play a pivotal role in the creative process of developing entirely new ideas, such as crafting novel research proposals?
Continue reading “Can AI Help You Develop a Research Proposal?”
When looking at small aspects of living things, especially cells, it can often be difficult to fully grasp the magnitude of regulation employed within them. We first learn the central dogma in high school biology. This is the core concept that DNA makes RNA and RNA makes protein. Despite this early education, it can be lost on many the biological methods that are employed to regulate this process. This regulation is very important when one considers the disastrous things that can occur when this process goes askew, such as cancer, or dysregulated cell death. Therefor it is very important to understand how these regulatory mechanisms work and employ tools to better understand them.
Continue reading “Small RNA Transfection: How Small Players Can Make a Big Impact”
In our third and final installment of the Promega qPCR Grant Recipient blog series, we highlight Dr. Sabrina Alves dos Reis, a trained immunotherapy researcher. Her work has focused on developing tools for more accessible cancer therapies using CAR-T cells. Here, we explore Dr. Alves dos Reis’ academic and scientific journeys, highlight influential mentorship and foreshadow her plans for the Promega qPCR grant funds.
Dr. Alves dos Reis’ career began with a strong affinity for biology. As an undergraduate student, she pursued a degree in biological science, where she developed a foundational understanding for designing and developing research projects. As her passion for science heightened, she decided to continue her journey in science, culminating in a PhD at the Fundação Oswaldo Cruz Institute in Rio de Janeiro, Brazil. Her research projects focused on the unexplored territory of adipose tissue as a site for Mycobacterium leprae—or leprosy bacillus—infection. She mentioned that this work piqued her curiosity for improving immunotherapies and laid the foundation for her future in cancer research.
Continue reading “Promega qPCR Grant Series #3: Immunotherapy Researcher, Dr. Sabrina Alves dos Reis “