In this enlightening episode, we're joined by Dr. Liu, a renowned climate scientist, to explore the potentially devastating consequences of the slowing Meridional Overturning Circulation (MOC). Earth system models (ESMs) predict a dramatic decrease in the Atlantic MOC and the Southern MOC by the year 2100. Moreover, we could be facing a complete shutdown of SMOC by 2300. What does this mean for the Earth's climate and ocean carbon uptake? Dr. Liu delves into how this slowdown can affect both the biological and solubility carbon pumps in the ocean, leading to uncertain impacts on oceanic carbon absorption.

Despite reducing anthropogenic carbon intake by the solubility pump, a slowing MOC might inadvertently increase the deep-ocean storage of carbon and nutrients via the biological pump. This surprising result paints a complex picture, leading to a net reduction in the ocean's ability to absorb anthropogenic CO2. Moreover, Dr. Liu brings to light the long-term implications of deep-ocean nutrient sequestration, which could depress global-scale, marine net primary production over time. The MOC slowdown, therefore, stands as a powerful feedback mechanism that could extend or intensify peak-warmth climate conditions on multi-century timescales. Listen in to understand this critical facet of climate change and its potential ripple effects on our planet's future.

Climate Change, Meridional Overturning Circulation, Earth System Models, Ocean Carbon Uptake, Solubility Pump, Biological Pump, Anthropogenic CO2, Dr. Liu, Nutrient Sequestration, Global Warming, Positive Feedback, Climate Scenarios.

Nutrient sequestration from slowing overturning circulation. Nat. Clim. Chang. 13, 83–90 (2023). https://doi.org/10.1038/s41558-022-01555-7

In this stimulating episode, we welcome Dr. Klein, an esteemed cellular biologist, who delves into the intriguing world of mammalian intestinal stem cells (ISCs). The maintenance of tissue integrity largely depends on how stem cells react to changes in niche signals, and ISCs are no exception as they rely on Wnt ligands for self-renewal and proliferation. This delicate balancing act plays a crucial role in tissue regeneration after injury and in inflammatory bowel diseases, but if left unchecked, it could lead to colorectal cancer.

Dr. Klein discusses his intriguing findings about Discs large 1 (Dlg1), a protein previously thought to be integral to cell polarity but now found to be dispensable for that function and cellular turnover during intestinal homeostasis. However, Dlg1's role becomes critical when Wnt signaling intensifies. Employing RNA sequencing and genetic mouse models, Dr. Klein's research unveils the subtle workings of DLG1 in regulating the cellular response to increased canonical Wnt ligands via the transcriptional regulation of Arhgap31, which in turn deactivates CDC42, an effector of the non-canonical Wnt pathway.

In effect, this reveals a crucial DLG1-ARHGAP31-CDC42 axis that enables ISCs to respond to increased niche Wnt signaling, a discovery that can potentially enhance our understanding and treatment of gut-related ailments. Tune in for an intriguing conversation on the intricate cellular dynamics at play in our bodies.

Dr. Klein, Intestinal Stem Cells, Discs Large 1, Wnt Signaling, Tissue Integrity, RNA Sequencing, Genetic Mouse Models, Arhgap31, CDC42, Non-Canonical Wnt Pathway, Colorectal Cancer, Inflammatory Bowel Diseases.

A DLG1-ARHGAP31-CDC42 axis is essential for the intestinal stem cell response to fluctuating niche Wnt signaling https://doi.org/10.1016/j.stem.2022.12.008

In this thought-provoking episode, we are joined by Dr. Alù, a trailblazer in the realm of photonic manipulation, to discuss the fascinating concept of time reflection. Traditionally seen as the uniform inversion of a signal's temporal evolution following an abrupt change in material properties, time reflection has recently become the object of groundbreaking research, propelling us closer to the realization of time metamaterials and Floquet matter.

Dr. Alù guides us through the sophisticated processes underlying time reflection, shedding light on how time can serve as an additional degree of freedom in wave manipulation. We delve into the dynamics of a switched transmission-line metamaterial whose effective capacitance is homogeneously and abruptly changed via a synchronized array of switches, leading to photonic time reflection and associated broadband frequency translation.

Highlighting a new frontier in physics, we also explore the concept of time-reflection-induced wave interference, drawing parallels between temporal interfaces and the spatial counterparts found in a Fabry–Pérot cavity. With these groundbreaking insights, Dr. Alù offers a glimpse into a future where time metamaterials and Floquet photonic crystals can provide unprecedented opportunities for extreme photon manipulation in both space and time.

Join us on this fascinating journey that merges physics, time, and light, creating an intricate tapestry of scientific exploration.

Dr. Alù, Time Reflection, Metamaterials, Floquet Matter, Photonic Manipulation, Spatial Interface, Temporal Interface, Frequency Translation, Wave Interference, Fabry–Pérot Cavity, Time Metamaterials, Floquet Photonic Crystals.

Moussa, H., Xu, G., Yin, S. et al. Observation of temporal reflection and broadband frequency translation at photonic time interfaces. Nat. Phys. (2023). https://doi.org/10.1038/s41567-023-01975-y

In this illuminating episode, we welcome Dr. Somepalli, a leading authority on diffusion models, as he guides us through the cutting-edge world of image production. Diffusion models are rapidly gaining recognition for their ability to create high-quality and customizable images, making them a powerful tool for commercial art and graphic design. But the question arises: are these models generating unique works of art, or are they simply replicating content from their training sets?

Dr. Somepalli introduces us to the intricacies of image retrieval frameworks, which provide a means to compare generated images with training samples and pinpoint content replication. As we apply these frameworks to diffusion models trained on multiple datasets—including Oxford Flowers, Celeb-A, ImageNet, and LAION—we explore how various factors like the size of the training set can influence rates of content replication.

The conversation takes a deeper turn as Dr. Somepalli sheds light on instances where popular diffusion models, such as the Stable Diffusion model, directly copy from their training data. With an ideal blend of deep technical insights and engaging discussions, this episode is a must-listen for anyone interested in the fascinating world of artificial intelligence, machine learning, and digital arts.

Dr. Somepalli, Diffusion Models, Image Production, Image Retrieval Frameworks, Content Replication, Oxford Flowers, Celeb-A, ImageNet, LAION, Stable Diffusion Model, Artificial Intelligence, Machine Learning, Digital Arts.

Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models https://ui.adsabs.harvard.edu/link_gateway/2022arXiv221203860S/doi:10.48550/arXiv.2212.03860

In this groundbreaking episode, we are joined by Dr. Kirkland, a leading expert in the field of biomedical imaging, who guides us through his trailblazing research on bioluminescence imaging (BLI) in the central nervous system. While BLI has become an indispensable technique in biomedical research, allowing non-invasive visualization of cells and biochemical events in vivo, its application in the brain has been a challenge due to the relatively poor performance of luciferases with existing substrates.

Dr. Kirkland discusses his recent discovery of a NanoLuc substrate, cephalofurimazine (CFz), which significantly improves the performance of BLI in the brain. When paired with Antares luciferase, CFz produces over 20-fold more signal from the brain compared to the standard pairing of D-luciferin with firefly luciferase. This leap forward in sensitivity opens up exciting new possibilities for the application of NanoLuc-based indicators in brain research.

We delve into the application of CFz in practical scenarios, including the achievement of video-rate non-invasive imaging of Antares in the brains of freely moving mice and the demonstration of non-invasive calcium imaging of sensory-evoked activity in genetically defined neurons.

With Dr. Kirkland's insights at the forefront, this episode shines a light on the future of neuroimaging, offering listeners a look at the cutting-edge advancements that are enhancing our understanding of brain activity.

Dr. Kirkland, Bioluminescence Imaging, BLI, Central Nervous System, Luciferases, NanoLuc Substrate, Cephalofurimazine, CFz, Antares Luciferase, D-Luciferin, Firefly Luciferase, Brain Research, Non-Invasive Imaging, Calcium Imaging, Neurons.

Su, Y., Walker, J.R., Hall, M.P. et al. An optimized bioluminescent substrate for non-invasive imaging in the brain. Nat Chem Biol (2023). https://doi.org/10.1038/s41589-023-01265-x

In this eye-opening episode, we're privileged to have Dr. Watanabe, an esteemed neuroscientist, explore the fascinating mechanics of how children learn. Although it's widely believed that children learn more efficiently than adults, the reasons behind this phenomenon remain less understood. One hypothesis proposes that children rapidly stabilize learning to prevent interference from subsequent learning, but does the evidence back this up?

Dr. Watanabe brings the role of γ-aminobutyric acid (GABA) into the spotlight. Although GABA plays a critical part in learning stabilization, GABAergic inhibitory processing is reportedly less mature in children compared to adults. This leads us to an intriguing question: Is the superior learning efficiency in children not due to faster stabilization?

Drawing on his recent research, Dr. Watanabe shares findings from measuring GABA concentrations in early visual cortical areas of both children and adults during visual perceptual learning (VPL). The study revealed a rapid boost of GABA in children during visual training that persisted post-training, a phenomenon absent in adults. Additionally, behavioral experiments suggested that children develop resilience to retrograde interference quicker than adults, implying faster stabilization of VPL in children.

These intriguing insights collectively suggest that children's brains exhibit more dynamic inhibitory processing that adapts swiftly to stabilize learning, thus contributing to more efficient learning in children compared to adults. Tune in for a deep dive into the captivating neurology of learning.

Dr. Watanabe, Learning Efficiency, Children vs. Adults, GABA, Learning Stabilization, Visual Perceptual Learning, Neurology, Brain Development, Cognitive Science, Early Visual Cortical Areas, Functional MRS, Retrograde Interference.

Watanabe T. et al. Efficient learning in children with rapid GABA boosting during and after training. Curr Biol. 2022 doi: 10.1016/j.cub.2022.10.021. Epub 2022 Nov 15. PMID: 36384138.

In this revealing episode, we welcome Dr. Niculescu, a leading figure in the field of psychiatry and molecular genetics, to discuss his transformative research in anxiety disorders. Despite their increasing prevalence and the significant impact they have on individuals' lives, anxiety disorders often remain underdiagnosed and inadequately treated, leading to serious adverse life events and potential addictions.

Dr. Niculescu takes us on a journey through his groundbreaking approach to discovering blood biomarkers for anxiety. This four-step process includes a longitudinal within-subject design to identify gene expression changes associated with anxiety states, a Convergent Functional Genomics approach to prioritize biomarkers, independent cohort validation, and testing of biomarkers' clinical utility.

Through this comprehensive approach, the research revealed a set of biomarkers that demonstrate promising accuracy, especially in women. Dr. Niculescu shares how these biomarkers, including GAD1, NTRK3, ADRA2A, FZD10, GRK4, and SLC6A4, can target existing drugs, offering the potential to match patients to medications and monitor treatment response. Beyond this, the study identified drugs that could be repurposed for anxiety treatment, including estradiol, pirenperone, loperamide, and disopyramide.

With the urgent need for more precise and personalized approaches to managing anxiety, Dr. Niculescu's research opens up new avenues for diagnosis and treatment. This episode promises to be a fascinating journey into the heart of psychiatry and molecular genetics.

Dr. Niculescu, Anxiety Disorders, Blood Biomarkers, Gene Expression, Convergent Functional Genomics, Clinical Validation, GAD1, NTRK3, ADRA2A, FZD10, GRK4, SLC6A4, Personalized Medicine, Drug Repurposing, Psychiatry, Molecular Genetics.

Le-Niculescu, et al. Towards precision medicine for anxiety disorders: objective assessment, risk prediction, pharmacogenomics, and repurposed drugs. 2023. https://doi.org/10.1038/s41380-023-01998-0

Join us in this episode as we delve into the complex interplay of genetics and environment on a child's educational achievement with Dr. Rosa Cheesman, a leading researcher in the field of behavioral genetics. There's a prevailing theory that a child's environment, comprised of various levels like parents, school, neighborhood, and municipality, interacts with their genetic propensities, influencing their educational success. However, comprehensive tests of this theory across multiple environmental levels have been limited until now.

Dr. Cheesman discusses her team's innovative research where they linked population-wide administrative data on standardized test results, schools, residential identifiers to the Norwegian Mother, Father, and Child Cohort Study (MoBa), encompassing over 23,000 genotyped parent-child trios. By using multilevel models, they explored the interactions between polygenic indices for educational attainment (EA-PGI) and various environmental levels.

Their findings reveal a fascinating interaction between a student’s EA-PGI and schools, suggesting that higher-performing schools can raise overall achievement without leaving children with lower EA-PGI behind. Surprisingly, they found that neighborhood, district, and municipality variation contributed little to achievement and did not interact significantly with a child's individual EA-PGI.

With an eye towards policy implications, Dr. Cheesman provides insights into how this research can inform strategies to reduce social inequality in educational achievement, specifically through a focus on providing unequal support across schools for children facing difficulties.

Dr. Rosa Cheesman, Environment, Genetics, Educational Attainment, EA-PGI, Multilevel Models, Norwegian Mother, Father, and Child Cohort Study, MoBa, Schools, Achievement, Social Inequality.

Cheesman, R., et al. A population-wide gene-environment interaction study on how genes, schools, and residential areas shape achievement. https://doi.org/10.1038/s41539-022-00145-8

This is a new biweekly series discussing AI applications. This session will give an overview of AI in software development: applications, ethics, and impact on jobs and industries.

In this enlightening episode, we invite Dr. Dow, a distinguished glaciologist, to talk about a fascinating yet largely underexplored facet of Antarctica's ice sheet dynamics – its subglacial hydrological systems. The contribution of ice sheets to sea level is significantly influenced by high-pressure water lubricating the base of the ice, thereby accelerating its flow into the ocean. Yet, the processes occurring beneath Antarctica's ice have largely remained shrouded in mystery, hindering our understanding of ice-sheet flow and its response to climate change.

Dr. Dow and his team have discovered extensive, dendritically organized subglacial hydrological systems that stretch up to 460 km from the ice-sheet interior to the grounded margin using advanced numerical modeling and geophysical data. He explains how these channels transport large volumes of freshwater at high pressure, potentially augmenting the ice flow above.

The most intriguing revelation, however, is the identification of specific locations where the water exits the ice sheet, seemingly driving ice-shelf melting in these critical areas that play a pivotal role in ice-sheet stability.

Dr. Dow underscores the importance of including catchment-scale basal hydrology in calculations of ice-sheet flow and ice-shelf melt assessments at grounding zones. The findings highlight that understanding the future changes in Antarctica's marginal regions necessitates knowledge of the processes operating within and emanating from the ice-sheet interior.

Dr. Dow, Antarctica, Ice Sheets, Subglacial Hydrological Systems, Climate Change, Ice-sheet Flow, Ice-shelf Melting, Numerical Modelling, Geophysical Data, Grounding Zones.

Dow, C.F., Ross, N., Jeofry, H., et al. Antarctic basal environment shaped by high-pressure flow through a subglacial river system. Nat. Geosci. (2022). https://doi.org/10.1038/s41561-022-01059-1