Base by Base – Details, episodes & analysis

Podcast details

Technical and general information from the podcast's RSS feed.

Base by Base

Gustavo Barra

Science

Frequency: 1 episode/1d. Total Eps: 435

🧬 Base by Base explores advances in genetics and genomics, with a focus on gene-disease associations, variant interpretation, protein structure, and insights from exome and genome sequencing. Each episode breaks down key studies and their clinical relevance—one base at a time. 🎧 Powered by AI, Base by Base offers a new way to learn on the go. Special thanks to authors who publish under CC BY 4.0, making open-access science faster to share and easier to explore.

Recent rankings

Latest chart positions across Apple Podcasts and Spotify rankings.

Apple Podcasts

Spotify

No recent rankings available

Shared links between episodes and podcasts

Links found in episode descriptions and other podcasts that share them.

See all

https://doi.org/10.1016/j.ajhg.2025.04.016
4 shares
https://doi.org/10.1016/j.ajhg.2025.04.003
4 shares
https://doi.org/10.1016/j.xgen.2025.100875
2 shares

RSS feed quality and score

Technical evaluation of the podcast's RSS feed quality and structure.

See all

RSS feed quality

To improve

Score global : 63%

Publication history

Monthly episode publishing history over the past years.

Year

Latest published episodes

Recent episodes with titles, durations, and descriptions.

See all

🎙️ 54: Temporal Immune Landscapes — A Multi-Omic Lens on COVID-19 in End-Stage Kidney Disease

Season 1 · Episode 54

Tuesday, June 24, 2025 • Duration 18:49

🎙️ Episode 54: Temporal Immune Landscapes — A Multi-Omic Lens on COVID-19 in End-Stage Kidney Disease

🧬 In this new Base by Base episode we unpack a 2025 Cell Genomics study by Stephenson et al. that followed 61 haemodialysis patients through two waves of the pandemic. Using single-cell multi-omics (CITE-seq, VDJ-seq) across 580 000 immune cells, the team captured how SARS-CoV-2 reshapes the blood compartment over time, why some patients spiral into critical illness, and how routine dexamethasone therapy rewires monocyte behaviour.

🔍 Main highlights
Longitudinal immune-gene trajectories diverge sharply between mild/moderate and severe/critical COVID-19.
Interferon-stimulated genes rise early after symptom onset and peak higher in severe cases.
Rapidly expanding T-cell clones are enriched for SARS-CoV-2-specific TCRs that converge on shared, MHC-II-restricted motifs.
Glucocorticoid therapy triggers a CD163-high monocyte subset with an M2-like, anti-inflammatory transcriptome that is absent without steroid exposure.

🧠 Conclusion
By marrying temporal sampling, single-cell transcriptomics, surface proteomics and immunoreceptor sequencing, the study maps an immune storyline in which early interferon pressure, B-cell hyper-proliferation and selective T-cell expansion set the stage for outcome, while dexamethasone adds a late anti-inflammatory twist. The dataset is a blueprint for understanding COVID-19 in clinically vulnerable populations and for refining immunomodulatory strategies.

📖 Reference
Stephenson, E., Macdonald-Dunlop, E., Dratva, L.M. et al. (2025). Temporal multi-omics analysis of COVID-19 in end-stage kidney disease. Cell Genomics, 5, 100918. https://doi.org/10.1016/j.xgen.2025.100918

📜 License
This episode is based on an open-access article distributed under the Creative Commons Attribution 4.0 International license (CC BY 4.0).

Read moreCollapse

🎙️ 53: Weighing the Evidence — A Systematic Review of Polygenic Risk Score Economic Evaluations

Season 1 · Episode 53

Monday, June 23, 2025 • Duration 17:12

🎙️ Episode 53: Weighing the Evidence — A Systematic Review of Polygenic Risk Score Economic Evaluations
🧬 In this episode of Base by Base, we explore the systematic review by Siena et al. (2025) in The American Journal of Human Genetics, which examines the methods used to quantify the costs and benefits of polygenic risk–based strategies in clinical practice. The authors conducted a comprehensive search of PubMed, Web of Science, and Scopus, identifying 24 full economic evaluations—predominantly cost-utility analyses—spanning cancer screening programs, cardiovascular disease prevention, type 2 diabetes risk stratification, and glaucoma screening. Each study was assessed using the QHES instrument, and findings were synthesized narratively to highlight key methodological features, cost components, and analytic perspectives .

🔍 Study Highlights:
This review integrates evidence from cost-utility analyses across oncology, cardiology, endocrinology, and ophthalmology to reveal that many polygenic risk–stratified interventions demonstrate favorable cost-effectiveness outcomes, yet results are highly heterogeneous depending on the disease context and modelling approach; the widespread reliance on hypothetical cohorts and the scarce incorporation of real-world implementation data limit generalizability and risk underestimating delivery costs; analytic frameworks varied markedly in perspective (healthcare system, societal, payer), time horizon (5-year to lifetime), discount rates, and included cost categories (genotyping, diagnostics, treatment, indirect costs), complicating direct comparisons; indirect and non-health benefits—such as productivity gains—were infrequently evaluated; and critical gaps remain in representing diverse ancestries, accounting for long-term outcomes, and integrating comprehensive cost-benefit dimensions.

🧠 Conclusion:
Siena et al. conclude that polygenic risk–based approaches hold significant promise for enhancing precision prevention and personalized screening strategies. However, future economic evaluations must embrace real-world evidence, include diverse populations, and adopt broader cost and benefit frameworks to generate robust, actionable insights for policymakers and clinicians.

🎙️ 52: Human Genetic Variation Reveals FCRL3 as a Lymphocyte Receptor for Yersinia pestis

Season 1 · Episode 52

Sunday, June 22, 2025 • Duration 16:42

🎙️ Episode 52: Human Genetic Variation Reveals FCRL3 as a Lymphocyte Receptor for Yersinia pestis
🧬 In this episode of Base by Base, we dive into a cellular genome-wide association study (GWAS) of nearly 1,000 lymphoblastoid cell lines published by Keener et al. (2025) in Cell Genomics, which uncovers Fc receptor-like 3 (FCRL3) as a previously unrecognized surface receptor that mediates attachment and invasion of Yersinia pestis into human B cells. Employing the Hi-HOST platform, the authors identify a nonsynonymous SNP (rs2282284, N721S) in FCRL3 that modulates bacterial uptake, then validate that overexpression of FCRL3 in non-phagocytic HeLa cells is sufficient to trigger both adhesion and internalization of unopsonized bacteria. Through mutational analyses, they pinpoint the critical role of the first Ig-like domain for binding and define an ITAM together with an adjacent ITIM-like motif around Y722 that orchestrate SYK kinase recruitment and phagocytic signaling. Direct binding assays with purified FCRL5 extracellular domains confirm a specific interaction with Y. pestis, and phenome-wide association studies link the same FCRL3 variant to altered risk of chronic hepatitis C infection, suggesting pleiotropic effects on human infectious disease susceptibility.
🔍 Main highlights: The Hi-HOST cellular GWAS leverages global human genetic diversity to pinpoint rs2282284 in FCRL3 as a determinant of Y. pestis invasion; FCRL3 overexpression in HeLa cells drives both GFPlow bacterial attachment and GFPhigh intracellular uptake in a gentamicin-protection assay; mutagenesis of Ig-like domain 1 abolishes binding while tyrosine-to-phenylalanine substitutions in the ITAM and Y722 motif impair SYK-dependent internalization; FCRL5 extracellular domain fusion proteins bind Y. pestis directly under high-salt washes; pheWAS in BioBank Japan shows the C allele of rs2282284 is associated with reduced chronic hepatitis C risk, colocalizing with the invasion phenotype.
🧠 Conclusion: This work inaugurates a new paradigm in bacterial pathogenesis by revealing how Y. pestis exploits lymphocyte-specific Fc receptor-like proteins to create an intracellular niche, and it underscores the impact of human genetic variation on susceptibility to both ancient and modern infectious threats.📖 Keener, R. M., Shi, S., Dalapati, T., Wang, L., Reinoso-Vizcaíno, N. M., Luftig, M. A., Miller, S. I., Wilson, T. J., & Ko, D. C. (2025). Human genetic variation reveals FCRL3 is a lymphocyte receptor for . , 5, 100917. 📜 This episode is based on an open access article published under the Creative Commons Attribution 4.0 International (CC BY 4.0) license –

🎙️ 51: Diagnosing the Undiagnosed — A Phenotype-Driven Pipeline for Mitochondrial DNA Discovery

Season 1 · Episode 51

Saturday, June 21, 2025 • Duration 17:37

🎙️ Episode 51: Diagnosing the Undiagnosed — A Phenotype-Driven Pipeline for Mitochondrial DNA Discovery

🧬 In this episode of Base by Base, we dive into a powerful phenotype-guided strategy to uncover mitochondrial DNA (mtDNA) diseases in large-scale rare disease cohorts. Ratnaike et al. (2025), publishing in The American Journal of Human Genetics, present the results of a systematic reanalysis of 10,157 exome and genome datasets from the European Solve-RD project, applying a semi-automated pipeline that filters mtDNA variants and prioritizes them based on phenotype similarity using the HPO-driven MitoPhen database.

🔍 Study Highlights:
The researchers developed and validated a workflow combining the MToolBox pipeline for mtDNA variant calling and the MitoPhen similarity scoring system to assess the match between patient-reported symptoms and known mtDNA disease profiles.
They applied this approach to over 9,900 undiagnosed individuals and identified 135 candidates with rare mtDNA variants, leading to 37 confirmed or likely mtDNA diagnoses — an increase of 0.4% in diagnostic yield in a cohort where mitochondrial disease was not suspected.
Importantly, 92% of these new diagnoses had phenotype similarity scores above 0.3, validating the use of structured phenotypic data as a sensitive filter.
The model proved robust across sequencing platforms and heterogeneous datasets, highlighting the potential of incorporating phenotype similarity into routine rare disease genomics.
This work also underscores the importance of complete and specific phenotype data (e.g., ≥5 detailed HPO terms), which was associated with higher diagnostic success.

🧠 Conclusion:
By integrating automated mtDNA variant filtering with HPO-based phenotype similarity scoring, this study demonstrates a scalable and clinically relevant method to boost diagnostic rates for mitochondrial diseases. This approach is especially valuable in genomic datasets not initially enriched for suspected mitochondrial conditions and offers a roadmap for future phenotype-genotype analyses in rare disease diagnostics.

📖 Reference:
Ratnaike, T., Paramonov, I., Olimpio, C., et al. (2025). . , 112, 1376–1387.

🎙️ 50: The Microbiome for Clinicians — Bridging Research and Practice

Season 1 · Episode 50

Thursday, June 19, 2025 • Duration 17:56

🎙️ Episode 50: The Microbiome for Clinicians — Bridging Research and Practice

🧬 In this episode of Base by Base, we explore a Perspective article by Porcari et al. (2025) in Cell titled “The microbiome for clinicians,” which examines the current disconnect between microbiome research and its implementation in medical practice, and outlines a strategic roadmap to overcome the barriers preventing its clinical adoption.

🔍 Key Highlights:
The authors categorize translational barriers into biological complexity, methodological variability, logistical hurdles, and cultural factors that hinder reproducibility and clinician confidence ; they review diagnostic applications of gut microbiome profiling for colorectal cancer screening, inflammatory bowel disease detection, and prediction of response to immunotherapies and standard treatments ; they discuss therapeutic potentials—including fecal microbiota transplantation, live biotherapeutic consortia, engineered probiotics, and phage therapy—highlighting both the successes in recurrent C. difficile infection and the challenges in chronic disease contexts ; and they propose a multifaceted action plan—standardizing research protocols, enhancing clinical trial design with rigorous statistical frameworks, deepening mechanistic understanding of host–microbiome interactions, and fostering interdisciplinary education and communication—to accelerate the integration of microbiome science into clinical care .

🧠 Conclusion:
Porcari et al. argue that while microbiome research has delivered promising diagnostic and therapeutic insights, realizing its full potential in precision medicine requires coordinated efforts in protocol standardization, trial methodology refinement, mechanistic validation, and targeted training of healthcare professionals to transform microbiome discoveries into practical clinical tools.

📖 Reference:
Porcari S, Ng SC, Zitvogel L, Sokol H, Weersma RK, Elinav E, Gasbarrini A, Cammarota G, Tilg H, Ianiro G. (2025). The microbiome for clinicians. Cell, 188, 2836–2844. https://doi.org/10.1016/j.cell.2025.04.016

🎙️ 49: Chitin as a Reservoir for Horizontal Gene Transfer — Environmental DNA Adsorption and Natural Transformation in Vibrio cholerae

Season 1 · Episode 49

Wednesday, June 18, 2025 • Duration 22:58

🎙️ Episode 49: Chitin as a Reservoir for Horizontal Gene Transfer — Environmental DNA Adsorption and Natural Transformation in Vibrio cholerae

🧬 In this episode of Base by Base, we explore the study by Holt et al. (2025) in Proceedings of the National Academy of Sciences, which uncovers how extracellular DNA from the marine environment binds to chitin surfaces and becomes accessible to Vibrio cholerae for natural transformation. Through the use of microfluidic flow chambers mimicking realistic ocean conditions and high-resolution confocal microscopy, the authors reveal that chitin particles act as hotspots for horizontal gene transfer, offering new insights into microbial evolution in aquatic ecosystems.

🔍 Study highlights: Under a continuous flow of artificial seawater supplemented with trace amounts of fluorescently labeled DNA, chitin flakes rapidly accumulate DNA on their outer surfaces, as quantified by fluorescence intensity heatmaps and surface-area–normalized measurements. Following a rigorous wash step that removes unbound DNA from the bulk medium, V. cholerae reporter strains carrying a repairable GFP construct integrate chitin-bound DNA and form GFP-positive transformants within 48 hours, demonstrating retrieval of surface-adsorbed DNA for recombination. The retraction ATPase PilU is shown to be indispensable for efficient natural transformation on chitin-bound substrates, whereas deletion of PilU has no effect when DNA is freely soluble, highlighting a biophysical requirement for pilus-mediated force in accessing immobilized genetic material. Remarkably, transformation frequencies on chitin are comparable to those observed with free DNA in liquid culture, underscoring the ecological significance of chitin particles as reservoirs of genetic diversity.

🧠 Conclusion: Holt et al. establish a novel paradigm in which chitin surfaces in marine habitats concentrate environmental DNA and enable pilus-dependent natural transformation, shaping the genetic landscape of V. cholerae and potentially other chitin-associated microbes. This mechanism illuminates how environmental biomaterials drive horizontal gene transfer and may inform strategies to predict and mitigate the emergence of new pathogenic variants.

🎙️ 48: Mainstreaming Genetic Testing — A Conceptual Framework for Expanding Genomic Medicine

Season 1 · Episode 48

Monday, June 16, 2025 • Duration 16:10

🎙️ Episode 48: Mainstreaming Genetic Testing — A Conceptual Framework for Expanding Genomic Medicine

🧬 In this episode of Base by Base, we explore an important policy and practice shift presented by Mackley et al. (2025) in Genetics in Medicine. The authors propose a conceptual framework for the mainstreaming of clinical genetic testing, addressing the increasing demand for genomic services across medicine and the limited growth of the clinical genetics workforce. By redefining how genetic testing responsibilities can be shared between geneticists and non-geneticist clinicians, this framework aims to make genomic care more accessible, efficient, and scalable across health systems.

🔍 Study highlights:
The proposed framework identifies four general models for mainstreaming genetic testing, each defined by the point at which responsibility transfers from the non-geneticist clinician to the clinical genetics service.
Rather than a one-size-fits-all approach, the models are adaptable to local healthcare infrastructure, clinician expertise, disease complexity, and testing resources.
It accounts for patient, clinician, test, system, and disease-specific variables that affect the feasibility of mainstreaming in each case.
The framework emphasizes clear communication, structured roles, and robust support systems (e.g., embedded genetic counselors, lab support lines) to ensure quality and safety.
By standardizing terminology and outlining core diagnostic pathway activities, the framework allows healthcare systems to design, evaluate, and scale mainstreaming programs effectively.

🧠 Conclusion:
This framework marks a critical step toward integrating genomics more deeply into routine care by expanding the capacity of non-geneticist clinicians to manage genetic testing. Through thoughtful implementation and consistent evaluation, the model supports more equitable access to precision medicine while preserving the essential role of clinical genetics experts in complex cases.

📖 Reference:
Mackley, M.P., Richer, J., Guerin, A., et al. (2025). . Genetics in Medicine.

🎙️ 47: Selectivity and Promiscuity — Decoding the Human Chemokine-GPCR Network

Season 1 · Episode 47

Monday, June 16, 2025 • Duration 22:37

🎙️ Episode 47: Selectivity and Promiscuity — Decoding the Human Chemokine-GPCR Network
🧬 In this episode of Base by Base, we explore a systems-level framework unveiled by Kleist et al. (2025) in Cell, which dissects how selectivity and promiscuity arise in the intricate network of human chemokine-GPCR interactions. By combining structural biology, evolutionary conservation, and machine learning, the study reveals the molecular grammar that encodes receptor specificity and versatility across immune signaling pathways.

🔍 Study Highlights:
Chemokine-GPCR recognition is governed by a hierarchy of determinants — conserved, semi-conserved, and variable — distributed across structured cores and flexible loop regions of both ligands and receptors.
Promiscuity and selectivity are modulated through short linear motifs (SLiMs) in unstructured regions, which serve as tunable hotspots for binding specificity.
The team developed a chemokine numbering (CCN) and receptor numbering (CRN) system to align residues across families and quantify their conservation and variability.
Mutagenesis and binding assays confirmed that even minor changes in SLiMs can rewire binding preferences, as demonstrated through rational engineering of a viral chemokine (vMIP-II) to alter GPCR targeting.
A new public web resource was created to support sequence-structure-function studies and the design of therapeutic chemokines with tailored selectivity.

🧠 Conclusion:
This study proposes a unifying model where selectivity is “encoded” like a molecular password and “decoded” by matching elements on ligands and receptors — akin to digital encryption. By uncovering this code, researchers can now manipulate chemokine-GPCR interactions to modulate immune cell migration, offering promising avenues for immunotherapies, cell engineering, and infection control.

📖 Reference:
Kleist, A. B., Szpakowska, M., Talbot, L. J., et al. (2025). Encoding and decoding selectivity and promiscuity in the human chemokine-GPCR interaction network. Cell, 188, 1–20. https://doi.org/10.1016/j.cell.2025.03.046

🎙️ 46: Pan-Epitranscriptomic Control — How tRNA and m6A Interact to Regulate mRNA Decay

Season 1 · Episode 46

Saturday, June 14, 2025 • Duration 20:33

🎙️ Episode 46: Pan-Epitranscriptomic Control — How tRNA and m6A Interact to Regulate mRNA Decay

🧬 In this episode of Base by Base, we delve into a landmark study by Linder et al. (2025), published in Cell, which uncovers a molecular interaction between two layers of RNA modifications — m6A in mRNA and mcm5s2U in tRNA — that tunes mRNA stability in a codon-specific and translation-dependent manner. The authors present a compelling model where tRNA modifications actively influence the functional outcome of m6A deposition, linking codon optimality with mRNA decay and revealing an unexpected coordination between translation and post-transcriptional regulation.

🔍 Study Highlights:
The study demonstrates that m6A marks in the coding sequence (CDS) reduce codon optimality, slowing translation and triggering mRNA decay. This effect is particularly strong at specific codons and leads to ribosome collisions, which initiate decay pathways. Importantly, the tRNA modification mcm5s2U counteracts this effect by improving decoding efficiency at these sites, especially for codons like AGA and GAA. Loss of mcm5s2U leads to exaggerated decay of m6A-modified transcripts, revealing a finely tuned epitranscriptomic axis. The researchers also show that many of the affected transcripts belong to oncogenic signaling pathways, and that the balance between m6A and mcm5s2U acts as a pan-cancer biomarker, with increased mcm5s2U linked to tumor aggressiveness and poor prognosis. This interplay offers a novel framework for understanding RNA stability, cancer progression, and potential therapeutic vulnerabilities.

🧠 Conclusion:
This work defines a new paradigm in RNA biology — a pan-epitranscriptomic system in which modifications in both mRNA and tRNA converge to control gene expression at the level of mRNA decay. By modulating translation kinetics at the codon level, the cell can fine-tune the lifespan of specific mRNAs, especially those involved in tightly regulated pathways like oncogenesis. These findings not only reshape our understanding of the epitranscriptome but also open avenues for new diagnostic and therapeutic strategies in cancer and beyond.

📖 Linder, B., Sharma, P., Wu, J., et al. (2025). . , 188, 1–13.

🎙️ 45: Probing Nucleolar Mechanics — RNA-Dependent Viscoelasticity of Nucleolar Subcompartments

Season 1 · Episode 45

Thursday, June 12, 2025 • Duration 20:52

🎙️ Episode 45: Probing Nucleolar Mechanics — RNA-Dependent Viscoelasticity of Nucleolar Subcompartments

🧬 In this episode of Base por Base, we delve into a groundbreaking study by Cheng et al. (2025) in PNAS that employs micropipette aspiration to directly measure the material properties of nucleoli within living Xenopus laevis oocytes. By aspirating these large, transcriptionally active condensates, the authors distinguish the Newtonian, liquid-like behavior of the granular component (GC) from the partially solid-like, viscoelastic nature of the dense fibrillar component (DFC) and its fibrillar center (FC). Crucially, they demonstrate that targeted RNA degradation fluidizes the DFC, revealing an intimate link between nascent ribosomal RNA and nucleolar rheology .

🔍 Main highlights:
The study adapts micropipette aspiration—a label-free technique traditionally used for cells—to probe intracellular biomolecular condensates, achieving one-dimensional strain measurements under controlled suction pressure; aspiration profiles show the GC deforms with a constant strain rate, characteristic of a Newtonian fluid, whereas the DFC/FC exhibits a nonlinear, time-dependent response consistent with a viscoelastic solid; quantitative fitting yields an average GC viscosity of ~220 Pa·s and a DFC elastic modulus of ~3 Pa, with interfacial tensions estimated at 1.7 µN/m (GC–nucleoplasm) and ≤0.5 µN/m (DFC–GC); RNase A treatment dramatically accelerates DFC fusion and aspiration, producing an inverse capillary velocity two orders of magnitude lower and indicating a tenfold increase in the GC–DFC interfacial tension alongside a fluidization of the DFC phase.

🧠 Conclusion:
By linking RNA content to nucleolar material state, this work unveils how spatially organized rRNA processing underpins the viscoelastic architecture of the nucleolus. Such insights not only deepen our understanding of ribosome biogenesis dynamics but also pave the way for exploring how condensate mechanics influence cellular function and dysfunction in development and disease.

📖 Reference:
Cheng, H. H., Roggeveen, J. V., Wang, H., Stone, H. A., Shi, Z., & Brangwynne, C. P. (2025). Micropipette aspiration reveals differential RNA-dependent viscoelasticity of nucleolar subcompartments. , 122(22), e2407423122.

Base by Base – Details, episodes & analysis

Podcast details

Recent rankings

Apple Podcasts

Spotify

Shared links between episodes and podcasts

RSS feed quality and score

Publication history

Latest published episodes

Related Shows Based on Content Similarities

Related Shows Based on Content Similarities

Apple Podcasts

Spotify

Base by Base – Details, episodes & analysis

Podcast details

Recent rankings

Apple Podcasts

Spotify

Shared links between episodes and podcasts

DOI Foundation50

RSS feed quality and score

Publication history

Latest published episodes

Similar podcasts and content

Related Shows Based on Content Similarities

Related Shows Based on Content Similarities

DOI Foundation50

Apple Podcasts

Spotify