FEBS Open Bio

The accumulation of amyloid-beta (A{beta}) plaques is a hallmark of Alzheimers disease (AD), with A{beta}42 representing the predominant and most aggregation-prone isoform. Reliable preparation of monomeric A{beta}42 is essential for investigating the kinetics and mechanisms of its aggregation into oligomers and fibrils. This study provides a direct comparison of two monomerization protocols for recombinantly expressed A{beta}42: one incorporating size-exclusion chromatography (SEC) and the other relying solely on chemical denaturation, using agents such as NaOH and NH4OH. A{beta}42 was produced in E. coli, purified through urea solubilization followed by HPLC, and subjected to monomerization via the respective methods. Monomeric preparations were evaluated using Thioflavin T (ThT) fluorescence to assess aggregation kinetics, TEM to detect fibrils and preformed aggregates, and NMR spectroscopy. SEC-isolated monomers displayed sigmoidal aggregation profiles in ThT assays, featuring distinct lag, growth, and plateau phases consistent with secondary nucleation-dominated models as determined by AmyloFit analysis. Increasing the initial peptide concentration resulted in higher fibril yields, which was further supported by TEM images showing extensive fibrillization following incubation. In contrast, non-SEC preparations containing pre-existing aggregates detectable by TEM and showed attenuated NMR signals, leading to impaired aggregation behavior. NaOH-denatured samples predominantly exhibited flat ThT curves, whereas NH4OH-denatured samples displayed extended lag phases. NH4OH performance better than NaOH, likely because its gradual pH neutralization reduced peptide structural perturbation. Overall, these findings demonstrate that SEC is critical for obtaining highly pure monomeric A{beta}42 and improving the reproducibility of aggregation assays, highlighting the importance of standardized monomer preparation protocols in AD research. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=49 SRC="FIGDIR/small/724608v1_ufig1.gif" ALT="Figure 1"> View larger version (15K): org.highwire.dtl.DTLVardef@1a3b9caorg.highwire.dtl.DTLVardef@1fa85d2org.highwire.dtl.DTLVardef@67a83dorg.highwire.dtl.DTLVardef@1564f77_HPS_FORMAT_FIGEXP M_FIG C_FIG

Seismic shifts within academia over the last several decades have seen the growth of biomedical PhD recipients alongside the relative stagnation of tenure-track research-intensive faculty careers (RIFCs). This hypercompetitive academic job market has prompted interest in the paths of those who attain RIFCs. Understanding what drives recent biomedical PhDs to make their career decisions and persist toward them requires a clear picture of how career perceptions, motivations, and intentions develop and crystallize over time. Using annual in-depth interviews across nearly two decades, this report explores the evolution of career thinking and differentiation among 40 who attained a RIFC from diverse starting points to their attainment of a RIFC. Participants strategies for navigating early scientific experiences were patterned by their varied educational and socioeconomic backgrounds. Nearly half of participants did not start with or maintain stable interest in RIFCs, exhibiting changes in both PhD and postdoctoral phases. Participants highlighted six drivers toward RIFCs including desire for independence/autonomy and contributing to knowledge/health. Our results are instructive for trainees and mentors guiding career exploration and differentiation.

Introduction: Glioblastoma multiforme (GBM) remains the most lethal primary brain tumor with median survival of 14-15 months. Current prognostic markers inadequately stratify patient outcomes. PINK1 (PTEN-induced putative kinase 1), a mitochondrial kinase regulating mitophagy and cellular stress responses, has emerged as a promising prognostic candidate. Our preliminary analysis of 20 GBM cases demonstrated significant PINK1 expression with correlation to aggressive phenotypes (Turizo Smith et al., 2025). This multicenter study aims to prospectively validate PINK1 as a prognostic biomarker for survival and functional outcomes in a Latin American cohort. Methods and analysis: PINK1-GBM Colombia is a multicenter, observational cohort study across four tertiary hospitals in Bogota, Colombia (Hospital de Kennedy, Hospital El Tunal, Hospital Santa Clara and Hospital Universitario de la Samaritana). We will enroll at least 26-50 adults (18+ years) with newly diagnosed IDH-wild type GBM undergoing surgical resection. PINK1 expression will be quantified by immunohistochemistry (IHC) on formalin-fixed paraffin embedded (FFPE) tissue using standardized protocols. Primary outcomes: overall survival (OS) and progression-free survival (PFS). Secondary outcomes: functional status trajectories (KPS/ECOG). Follow-up extends 24 months with clinical, imaging (RANO 2.0), and telephone assessments. Survival analyses will employ Kaplan-Meier methods, log-rank tests, and Cox proportional hazards models adjusted for established prognostic factors. Ethics and dissemination: Approved by Universidad Nacional de Colombia Ethics Committee (Acta 001, February 5, 2026; Ref: 2.FM.1.002-CE-002-26), Subred Sur Occidente (P-AP-19-2025, July 11, 2025), and Subred Centro Oriente (CEI 067/2025, October 24, 2025). Conducted per Declaration of Helsinki and Colombian Resolution 8430/1993. Results will be disseminated via peer-reviewed publication, international conferences, and thesis submission.

Osteosarcoma (OS) is an aggressive bone cancer that most commonly affects children and young adults. OS exhibits a high degree of genomic complexity, as well as cellular plasticity, and dynamic transcriptional regulation is suggested to contribute to treatment resistance and metastasis. Cell lines are well characterized as models to advance our knowledge on OS biology. HOS and U2OS cells have increased invasiveness and higher migratory ability compared with MG63. In this study, we employed a tandem array of consensus transcription factor response elements (catTFREs) proteomic approach to characterize transcription factor (TF) regulatory networks related to OS aggressiveness. We mapped 7,594 proteins and enriched 352 transcription factors and coregulators. When we integrated proteomics with cell line specific gene expression and chromatin accessibility we classified the proteins into different OS cell line dependent sub-clusters and identified TFs and coregulators common for all cell lines and specific for individual cell lines. We demonstrate that RUNX2, MYBL2 and HMGA2 are specifically enriched in HOS and U2OS and may be linked to the cell aggressiveness. ETV5, JUNB, NFIX and ZEB1 were among TFs specific to MG63. Our analysis provides a more comprehensive understanding of the transcriptional drivers that shape OS regulatory landscapes and may have future therapeutic implications.

Protein misfolding plays a critical role in aging and disease, yet the involvement of specific proteins in metabolic dysfunction is still poorly understood. Here, we report studies on the development of a Real-time Quaking-Induced Conversion (RT-QuIC) assay to detect misfolded insulin, a peptide hormone required for blood glucose regulation. Although RT-QuIC assays were originally designed to amplify misfolded prion proteins implicated in neurodegeneration, we adapted the method to monitor conformational changes in insulin. We first validated the RT-QuIC insulin assay using recombinant insulin and insulin aggregates recovered from clinical infusion devices. Protein characterization by gel electrophoresis, circular dichroism, and particle size analysis suggests differences in insulin recovered from the infusion device. We then applied the RT-QuIC assay to tissue samples from a mouse model of metabolic disease. This work provides proof-of-concept of a novel assay for studying the role of insulin aggregation in disease progression and aging. The RT-QuIC assay for insulin may also provide new avenues to explore early detection, mechanistic insights, and therapeutic targets of metabolic disorders linked to aging and disease.

Understanding what is requisite for attaining a biomedical faculty career is crucial for guiding trainees preparing for these roles. For nearly two decades, we have collected accounts of biomedical training and career transitions from a large cohort through annual in-depth interviews and tracking of competencies and achievements. This paper elucidates the common and varied credentials of 40 who entered research-intensive faculty careers (RIFCs). Participants completed PhDs and postdocs in a range of research-intensive institutional settings. Developing research independence and a niche were essential to RIFC attainment, and mentors played a crucial role in this development. Counter to common assumptions, high-prestige publications and grants were not in and of themselves necessary for RIFC attainment. Our findings can aid RIFC aspirants and mentors who guide them.

BACKGROUNDSubcutaneous white adipose tissue (scWAT), a key metabolic and endocrine organ, is inevitably exposed during radiotherapy (RT). While RT is a cornerstone of cancer treatment, its efficacy is limited by toxicity to surrounding healthy tissues. Ultra-high dose rate (FLASH) RT has emerged as a promising modality capable of preserving tumor control while reducing normal tissue damage - the so-called FLASH effect. Clinical evidence indicates that childhood exposure to conventional (CONV) RT is associated with long-term dysmetabolism and WAT dysfunction. However, the impact of FLASH-RT on WAT has not been investigated. AIMTo compare the effects of FLASH- and CONV-RT on adipocyte function and scWAT homeostasis, and to identify molecular and structural changes associated with each modality. METHODSWe evaluated the effects of FLASH- and CONV-RT on adipocytes and scWAT using a dedicated linear accelerator capable of delivering both modalities. Experiments were performed in the human SGBS preadipocyte/adipocyte cell line and in a mouse model subjected to proximal hind limb irradiation, with analyses conducted 70 days post-exposure. RESULTSRT impaired adipogenic differentiation in a dose-dependent manner, with a relative sparing effect of FLASH at 4-8 Gy. Mature adipocytes exhibited radioresistance, with protection by FLASH at 8 Gy. In vivo, both regimens reduced fat mass without affecting body weight, with greater loss following CONV-RT. Transcriptomic profiling of scWAT revealed inflammatory and neurodegenerative signatures after CONV-RT, whereas FLASH-RT induced minimal transcriptional changes. Histological and ultrastructural analyses confirmed increased cellular damage, vacuolization, lipid spill-over, and reduced PLIN1 expression, predominantly in CONV-treated mice. CONCLUSIONSWAT homeostasis is sensitive to conventional RT, whereas FLASH-RT better preserves tissue structure and function, with implications for long-term metabolic health in cancer survivors.

Cancer survivors face an increased risk of metabolic complications compared to the general population. Our group demonstrated that cisplatin, a platinum-based chemotherapeutic agent, robustly disrupts insulin secretion in vitro in mouse and human islets, and reduces plasma insulin levels in mice 2 weeks post-in vivo exposure. The long-term effects of in vivo cisplatin exposure alongside a pre-existing metabolic stressor, such as high-fat diet (HFD) feeding, have not been characterized. In the present study, male and female mice fed either a standard rodent chow or a 45 kcal% HFD were exposed to vehicle or 2 mg/kg cisplatin every other day for 2 weeks and then tracked for 18 weeks. Cisplatin exposure substantially influenced the metabolic phenotype of HFD-fed males but had limited impact on female HFD-fed mice. Vehicle-HFD and cisplatin-HFD male mice were both glucose intolerant compared to chow-fed controls yet, cisplatin-HFD male mice were lean, lacked a compensatory hyperinsulinemia response, and displayed increased insulin sensitivity compared to vehicle-HFD and vehicle-chow male controls. Additionally, transcriptional changes in islets isolated at 18-weeks post-exposure were largely cisplatin-driven in male mice, but diet-driven in female mice. Our study demonstrates that HFD-fed male mice exposed to cisplatin display persistent and exacerbated metabolic dysregulation relative to controls. ARTICLE HIGHLIGHTSO_ST_ABSWhy did we undertake this study?C_ST_ABSWe previously characterized the short-term metabolic effects of cisplatin exposure in vivo, but the long-term metabolic effects of cisplatin remained unknown. What is the specific question(s) we wanted to answer?How does cisplatin treatment impact long-term metabolic health outcomes in mice and do outcomes differ in the presence of a metabolic stressor? What did we find?Cisplatin significantly alters the metabolic phenotype of high-fat diet-fed male mice. What are the implications of our findings?Understanding how cisplatin exposure and metabolic stress interact is critical to mitigate long-term metabolic dysregulation in cancer survivors.

Objective: To identify Dickkopf-1 (DKK1) as a prognostically relevant candidate in head and neck squamous cell carcinoma and to evaluate whether DKK1 and cytoskeleton-associated protein 4 (CKAP4) expression is associated with cervical lymph node metastasis in tongue squamous cell carcinoma (TSCC). Methods: DKK1 was screened using the Human Protein Atlas Pathology Atlas. Immunohistochemical expression of DKK1 and CKAP4 was examined in 54 patients with primary TSCC (cT1-4N0) treated surgically between 2015 and 2020. Nine cases were excluded because of insufficient tissue blocks or inadequate staining quality, leaving 45 evaluable cases. Associations with delayed cervical lymph node metastasis were assessed together with conventional clinicopathological factors, including infiltrative growth pattern (INF) and pathological depth of invasion (pDOI). Results: In public database analysis, high DKK1 expression was associated with poorer overall survival in head and neck squamous cell carcinoma. In the TSCC cohort, pDOI [≥]5 mm and INF pattern c were significantly associated with cervical lymph node metastasis. Positive DKK1 and CKAP4 expression were also significantly associated with cervical lymph node metastasis. Furthermore, combined DKK1/CKAP4 positivity, when incorporated with INF and pDOI, provided additional risk stratification, and cases with all 3 factors showed a markedly increased likelihood of cervical lymph node metastasis. Conclusions: Expression of DKK1 and CKAP4 was associated with cervical lymph node metastasis in TSCC. Combined assessment of DKK1/CKAP4 expression with INF and pDOI may improve pathological risk stratification and may help identify patients who require closer neck evaluation and postoperative management.

Colorectal cancer (CRC) cachexia induces skeletal muscle dysfunction, impeding quality of life and worsening cancer prognosis. Multiple preclinical models, including the widely used mouse model of subcutaneous inoculation with the C26 colorectal carcinoma cell line, have been developed to study the biological mechanisms of CRC cachexia and elucidate potential new treatments. It has been proposed that a distinct cell line of the same origin, namely CT26, is relatively non-cachexic. However, studies evaluating the relative potential of C26 and CT26 cells to induce cancer cachexia in parallel have been limited. The differences in the biological mechanisms by which C26 and CT26 impact skeletal muscle mass and function have also not been fully elucidated. In the current study, we investigated the differential capacity of C26 and CT26 to induce cancer cachexia using both an in vitro cancer-muscle cell co-culture and an in vivo syngeneic mouse model. Our results show that both C26 and CT26 cells induced significant atrophy of murine C2C12 skeletal myotubes. In the mouse model, while C26 and CT26 both reduced skeletal muscle mass and fat mass, only C26 tumors led to loss of body weight and impaired skeletal muscle force output. We further show that C26 tumor-bearing mice exhibit greater muscle inflammation than CT26 tumor-bearing mice. In addition, mice bearing C26 and CT26 tumors showed differential regulation of the innate immune responses and muscle protein turnover. Overall, our data suggests that although both C26 and CT26 cells do exhibit cachexic effects, C26 cells induce greater loss in body weight, fat mass, skeletal muscle mass, and physical function via promoting chronic inflammation and deregulating protein balance of skeletal muscle.

Mutations in MAPT, the tau gene, give rise to forms of frontotemporal dementia and parkinsonism linked to chromosome 17 (FTDP-17T), with abundant filamentous tau inclusions in brain cells. Some mutations that encode missense and deletion variants can give rise to a clinical picture of Picks disease and filaments made of three-repeat tau. Here we report the electron cryo-microscopy (cryo-EM) structures of tau filaments from individuals with MAPT mutations D252V, G272V, S320F and {Delta}G389-I392. The two-layered Pick fold was present in the individuals with mutations D252V and {Delta}G389-I392. By contrast, mutations G272V and S320F gave rise to a more open variant of the Pick fold, with residues 272-341 rotated by 20-25{degrees} with respect to the rest of the structure. These findings show that missense mutations within the filament core can modify the Pick fold, generating closely related structural variants. In addition, we were able to reconstitute the Pick fold and some of its variants using seeded assembly with recombinant 0N3R tau carrying 12 serine or threonine to aspartate substitutions (PAD12) and missense mutations D252V, G272V or S320F. This work provides a foundation for the development of structure-based diagnostic and therapeutic approaches.

The current "gold standard" for diagnosing and assessing treatment response is tumor biopsy; however, biopsies are not always feasible, safe or easily repeated during treatment. Utilization of peripheral blood mononuclear cells (PBMCs) as a surrogate for tumor biopsy allows for longitudinal sampling and is a safer, more readily available option. However, collection conditions, sample transfer time across multiple clinical sites, and PBMC processing conditions are external pre-analytical factors that must be understood and controlled to mitigate bias in downstream functional analyses. This study aims to systematically evaluate the pre-analytical variables affecting PBMC integrity and functional immune readouts as a prerequisite for downstream translational biomarker applications. Peripheral blood samples were collected from 80 treatment-naive patients with a diagnosis of head and neck squamous cell carcinoma. Blood was collected in cell preparation tubes (BD Vacutainer(R) CPT), potassium ethylenediaminetetraacetic acid (EDTA), or sodium heparin (SH) tubes and diluted 1:1 with sterile PBS or remained undiluted. PBMCs were processed and cryopreserved immediately or held for 8- and 24-hours before processing. PBMC viability was measured at cryopreservation and upon thawing. CD8+ T cells or natural killer (NK) cells derived from PBMCs were subjected to cytotoxicity assays using flow cytometry. CPT tubes provided lower cell viability and yield at cryopreservation and upon thaw compared to EDTA and SH tubes while dilution had no effect on viability. NK cell cytotoxicity was similar between EDTA and SH tubes irrespective of dilution. However, diluted EDTA tubes resulted in lower T cell cytotoxicity after 24-hour hold. Viability and NK and T cell cytotoxicity were equivalent between cryopreserved PBMCs that were processed immediately or processed after 8- or 24-hour hold. Here we report cryopreservation methods for reproducibility of viable cells that maintain functional immunological capacity even after significant delay in processing allowing flexibility and feasibility for collection from multiple clinical sites for deferred processing.

Accurately modeling antibody-antigen interactions requires distinguishing intrinsic binding affinity ("protein-interaction") from protein biophysical properties ("protein-quality"), including folding, stability, and expression. However, high-throughput mutational measurements commonly used to train and benchmark computational models often conflate these effects, obscuring the true determinants of molecular recognition. Here, we present an experimental and analytical framework to disentangle protein-interaction effects from protein-quality effects in single-domain antibody (VHH)-antigen binding. Using a large-scale deep mutational scanning (DMS) dataset spanning four VHH-antigen complexes, with single and double mutations in both partners, we introduce control binders to quantify protein-quality changes independently of protein-interaction. This enables decomposition of experimentally measured affinity into protein-interaction and protein-quality components at scale. Leveraging the disentangled dataset, we evaluated state-of-the-art structure- and sequence-based models for protein-quality and protein-interaction prediction and show that their performance largely reflects protein-quality rather than protein-interaction effects. Our results highlight a major confounder in current datasets and suggest that accounting for protein-quality will be essential for training next-generation affinity-prediction models. Nomenclature Antibody related termsO_LIPrimary VHH: The VHH of a VHH-antigen complex for which the paratope and the epitope weremutated. C_LIO_LIControl VHH: A second VHH that binds to the same antigen as the primary VHH but has non-overlapping epitope positions and therefore does not bind to any of the mutated antigen positions. C_LI Affinity-related termsO_LIReal Affinity: "The strength of the interaction between two [...] molecules that bind reversibly (interact)" 1. In the context of antibody-antigen binding, it quantifies interactions between active proteins (which are expressed and correctly folded 2 and are therefore functionally and biologically active (see below). It is commonly quantified by the equilibrium dissociation constant, KD. C_LIO_LIObserved affinity ({degrees}KD): The interaction strength experimentally measured between two molecules. Unlike real affinity, this value is confounded by the biophysical properties of the individual binding partners, specifically their folding, stability, and expression levels. Consequently, the observed affinity often differs from the real/intrinsic affinity if a significant fraction of the protein population is inactive 3. NOTE: Unless otherwise specified, {degrees}KD is reported in - log10 space. For example, a {degrees}KD of -9 corresponds to 10-9M or 1nM. C_LIO_LIChange in observed affinity ({Delta}{degrees}KD): The shift in the observed affinity between two proteins upon mutation, reported as the log10-transformed fold change. A value of 1 reflects a 10-fold difference, a value of 2 a 100-fold difference, etc. This aggregate change resolves into two distinct biophysical components 2, 4: O_LIProtein-interaction change: The change in the intrinsic thermodynamic affinity between the two binding partners, each in its active state (i.e., the specific change in interface Gibbs free energy because both enthalpy and entropy are considered). C_LIO_LIProtein-quality change: The change in the fraction of the mutated protein population that is biologically active - meaning it is expressed, correctly folded, and stable 2, 5. O_LIFolding: The process that guides the polypeptide chain toward its native conformation, which is a prerequisite for forming a functional binding site. C_LIO_LIStability: The thermodynamic capacity to maintain the folded structure over time and under physiological conditions. Stability (decrease in Gibbs free energy from the unfolded to the folded state) ensures the binding interface remains intact and prevents competing processes such as aggregation 6. C_LIO_LIExpression: The steady-state abundance of the protein. This is largely dependent on proper folding and stability, as cellular quality control mechanisms degrade proteins that fail to fold or remain stable at functional concentrations. C_LI C_LI C_LIO_LIChange in relative affinity ({Delta}{Delta}{degrees}KD): the difference between the {Delta}{degrees}KD of the primary VHH compared to the control VHH for a given epitope mutation. C_LI Model-related termsO_LIESM-IF1 sc: Single-chain (sc) structure-conditioned inverse folding model (ESM-IF1), using the isolated monomer structure of the mutated protein: either the VHH or the antigen 7. C_LIO_LIESM-IF1 mc: Multi-chain (mc) structure-conditioned model (ESM-IF1), using the full complex structure (both antibody and antigen) 7. C_LIO_LIStability prediction score: Score that represents the predicted change in stability based on a single mutation, normally represented as {Delta}{Delta}G. C_LI

Research using model organisms to tackle questions in life sciences and biomedical sciences has been in the spotlight of scientific literature for the better part of the twentieth century. This attention has perceptibly faded over the last twenty years, at least. We set to document this process by examining the publication trends of 48 journals encompassing a broad range of topics and impact factors for eight classic model organisms. We found that the representation of model-organism research has been in continuous decline in the last three decades, with a significant acceleration since 2010. We investigated the origin of the change, from the size of research communities to the shifts in topics and in use of model organisms. While model organism communities appear stable, model organism papers are outpaced by the rest of scientific literature. Also, among papers using model organisms, we note a progressive shift toward applied research, with differences between different model organism species. The mouse, in particular, logically remains the preferred system to study diseases, while non-mouse model organisms continue to be used predominantly to dissect mechanisms of life. We reflect on the consequences of the fading representation that we measured for the future of life sciences. Fundamentally, model organisms afford a direct access to causality in life sciences and their fading from the picture may impact life sciences as a whole. More pragmatically, it will also affect funding, and thereby jeopardizes the maintenance of model organism resources such as repositories built over decades.

Despite questionable accuracy, subjective methods to categorize skin color are heavily relied upon in research and medicine. Objective skin color determination is expensive requiring specialized instrumentation and interpretation. We compare three subjective approaches, i) Fitzpatrick Skin Type Scale (FST), ii) Pantone SkinTone Guide (PST) and, iii) Monk Skin Tone Scale (MST), with objectively measured skin color from a spectrophotometer in 87 volunteers to understand the limitations of each method. In agreement with others, we show that the popular FST questionnaire correlates poorly with the objective approach. However, PST color swatches provide good correlation with spectrophotometer measurements. PST consists of 110+ swatches that are inexpensive and easy to use, however, similar to other reports, the volunteers found the number of swatches overwhelming and/or excessive. We found that the recently introduced MST is not representative of reality with only 3 of the 10 color groups representing our volunteers and published populations of volunteers. In future, we propose using 9 color swatches to split the spectrum of human skin color into 10 groupings (Nottingham Skin Categories - NSC) that are representative of the global population. This new approach would be easy to implement and inexpensive in research, healthcare and cosmetics settings, and maps directly to objective, quantitative, measures taken with a spectrophotometer. For the testing and development of new optical devices, NSC would provide increased comparability between studies and ensure studies are representative of local/global populations. In the clinic NSC would be useful for dermatology, photodynamic therapy and dosage assessment for topical medicine, for example.

INTRODUCTIONThe slow, age-related development of Alzheimers disease (AD) and inaccessibility of early-stage brain tissue necessitates model studies to understand its origins and progression. Non-human primate models can provide a platform for linking molecular changes to translatable phenotypes. Here, we assess fibroblast lines derived from marmosets with engineered variants in the PSEN1 gene. METHODSFibroblast cultures were obtained from 10 animals and assayed using a NanoString AD gene expression panel and label-free proteomics. We compared mutant expression changes to human AD signatures in human iPSC-derived neurons and postmortem brains to assess disease relevance. RESULTSGene products involved in amyloid-beta interaction and regulation were differentially expressed, providing evidence for the functional relevance of the engineered fibroblasts. Both gene and protein expression changes in the undifferentiated fibroblasts correlated with human iPSCs from AD donors reprogrammed into neuronal lineages, as well as postmortem brains derived from case-control cohorts. Altered expression profiles were noted based on marmoset donor sex and mutation status, highlighting underlying sex-specific biology relevant to Alzheimers disease. DISCUSSIONThese findings demonstrate that disease-relevant pathways and processes are altered in fibroblasts from mutant marmosets, emphasize the complementarity of transcriptomic and proteomic profiling in AD, and provide a roadmap for more advanced molecular studies of AD in aging marmosets and marmoset-derived cell models.

Parkinsons disease (PD) is the second most common neurodegenerative disease, resulting from accumulation of -synuclein (-syn) in midbrain dopaminergic neurons and progressive neuronal loss. The most relevant species of -syn, oligomers, may exert neurotoxicity in a variety of mechanisms. Accumulation of misfolded -syn in the endoplasmic reticulum (ER) lumen induces ER stress conditions that leads to activation of the Unfolded Protein Response (UPR) and its main sensor PKR-like ER kinase (PERK). PERK is critical for cell fate determination - under prolonged ER stress, it may direct cell towards pro-apoptotic pathways. Targeting of -syn aggregation or UPR by genetic and pharmacological approaches proved effective in preclinical models of PD by previous research. Thus, in the present study, we aimed to determine the potential effect of combination of small-molecule inhibitors of -syn aggregation and ER stress-mediated PERK signaling (namely anle138b and AMG44) in a novel, 3D in vitro model of PD. We demonstrate that combination of both anti-aggregation and ER stress-targeting approaches amplifies neuroprotection against PD in organoid model in terms of increased neuronal metabolic activity, decreased -syn phosphorylation and aggregation, reduced dopaminergic cell death, and restoration of proteostasis.

A method to measure telomere length in S. cerevisiae was developed based on bioluminescence resonance energy transfer (BRET). The system uses energy transfer between a luciferase-Rif2 fusion protein and fluorescently tagged Rap1. The study demonstrates that the BRET ratio correlates with the Rap1/Rif2 complex at the telomeres and thus the availability of telomeric Rap1 binding sites. This enables the measurement of telomere length in living cells. The system was able to reproduce reported deviations in telomere length in mutants lacking telomere length regulators, cells treated with telomere length modifying compounds and strains expressing inducible telomerase. The BRET ratio linearly correlated with the average number of telomeric nucleotides derived from long-read sequencing data using a novel algorithm for telomere length calculation. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/711003v1_ufig1.gif" ALT="Figure 1"> View larger version (39K): org.highwire.dtl.DTLVardef@1850c4dorg.highwire.dtl.DTLVardef@1ead295org.highwire.dtl.DTLVardef@1a76358org.highwire.dtl.DTLVardef@6b3183_HPS_FORMAT_FIGEXP M_FIG C_FIG

Graduate-level genomics courses require students to integrate dense material across subfields, concepts and methods. In modular, multi-instructor courses, students may struggle because the coherence between lectures can be difficult to navigate, while the course structure may be visible to instructors. We evaluated a 2025 navigation redesign of BIO322, a graduate genomics course at the Norwegian University of Life Sciences, while preserving course content, multi-instructor teaching, modular organization and assessment framework. The redesign includes introducing a standardized self-learning guide, expanded syllabus, enriched online quiz feedback, and added support for a final group research proposal. Using anonymized course evaluation scores from 2021-2025 and aggregated learning management system access data from 2023-2025, we examined student experience and resource use. In 2025, five of six course evaluation items reached their highest observed BIO322 scores, while one, lecture-specific score remained within the previous range. The consolidated self-learning guide was accessed by nearly all students, whereas access to optional readings declined across the course sequence, despite comparatively stable page views per accessing student. These course-level findings are consistent with improved perceived navigability following the introduction of standardized learning support. However, some students continued to report difficulty identifying priorities and connections among course components, indicating that challenges in perceived course coherence remained for part of the cohort despite the redesign. Practitioner PointsO_LIMaking course structure explicit may improve students perceived navigability in multi-instructor graduate genomics courses. C_LIO_LIA centralized self-learning guide can broaden access to preparatory guidance without changing core course content or assessment. C_LIO_LIOptional learning supports may be used unevenly, so resource availability should not be assumed to translate into uniform resource access. C_LI

Mycobacterium tuberculosis (Mtb), the causative agent of tuberculosis, can use host derived lipids as carbon and energy source for survival. Mammalian cell entry (Mce) associated membrane (Mam) proteins are important for the stability of lipid importing Mce complexes. Mtb has five homologs of Mam proteins referred as orphaned Mam (OmamA-E) proteins. A recent study suggested that OmamC (Rv1363c) is essential for the storage and utilization of lipids under starvation in Mtb. To understand the structure and interactions of OmamC, we generated a truncated soluble variant of OmamC (OmamC129-261). Here, we report on the challenges encountered during the crystallization and structure determination of OmamC129-261 and the strategies applied to overcome them. Despite the AlphaFold2 predicted model proving an initial molecular replacement solution, experimental phasing was necessary to determine the structure of OmamC129-261. Heat treatment of protein prior to crystallization setup removed partially unfolded protein present and played a critical role in enhancing the reproducibility and diffraction quality of OmamC129-261 crystals. Although reported earlier, it is not a widely used method. It is worth to try this method, especially, when faced with poor reproducibility and diffraction of crystals.