Biology subjects

Williams, R. M.

Publications and source records attributed to Williams, R. M..

At least 19 recordsLinked to original sources

bioRxiv2026

Molecular responsiveness to testosterone is uncoupled from skeletal muscle mass and strength in males aged 18 - 80 years

Objective Testosterone exerts wide-ranging physiological effects, including the regulation of anabolic processes in skeletal muscle. However, its role in skeletal muscle ageing remains unclear. This study aimed to establish the association between endogenous testosterone levels and skeletal muscle phenotype across the adult lifespan and determine whether ageing modulates this relationship. Methods Eighty-one healthy males aged 18-80 underwent comprehensive phenotypic assessment. Body composition and muscle morphology were assessed using dual-energy X-ray absorptiometry (DEXA) and peripheral quantitative computed tomography (pQCT). Muscle strength was estimated leg press one-repetition maximum (e1RM). Vastus lateralis biopsies were used to assess fibre type, sequence the transcriptome and establish primary myocytes. Cell lines from young (n=5) and older (n=7) donors were cultured and compared under control and testosterone-treated conditions for cellular phenotype. Results Ageing was associated with lower free testosterone, muscle mass and strength, altered type IIa fibre characteristics, and widespread transcriptional changes in skeletal muscle. Free, but not total, testosterone was strongly associated with the muscle transcriptome, although neither fraction was associated with muscle mass or strength. In primary myocytes, testosterone increased androgen receptor abundance and nuclear localisation and enriched pathways involved in protein translation. Conclusion Testosterone is biologically active in male skeletal muscle, with its free fraction strongly associated with the transcriptome; however, these molecular effects do not translate into differences in muscle mass or strength. Testosterone may therefore play a primary role in establishing the male muscle phenotype during puberty, before transitioning to a more ancillary role in adult skeletal muscle.

physiology↗

bioRxiv2026

MetAR: A semi-automated meta-analysis of skeletal muscle androgen receptors association with age

BackgroundThe maintenance of skeletal muscle health plays a pivotal role in prolonging both the lifespan and healthspan. However, muscle mass and strength exhibit significant declines with age. Ageing is associated with a reduced muscle protein synthesis response to key anabolic stimuli, including the androgen hormone testosterone, termed anabolic resistance. Testosterone enacts its anabolic effects in muscle through androgen receptor (AR) mediated pathways. Emerging evidence suggests that AR availability may represent a rate-limiting factor in androgen signalling, with AR saturation occurring below physiological testosterone levels in some tissues. Prior research in rodents has reported age-related reductions in AR expression, suggesting changes in AR protein content may constitute a key component of anabolic resistance. However, reports of the effects of age on the human skeletal muscle AR are inconclusive and limited by small sample sizes. Therefore, this study aimed to characterise age-related changes in expression of the AR, its regulators and downstream target genes in human skeletal muscle. MethodsWe developed and used a novel R-based pipeline, MetAR, to perform reproducible meta-analyses of publicly available bulk RNA-Seq datasets from NCBI GEO and investigate associations between target gene expression and variables of interest without the need for high-performance computing. Eligible datasets included skeletal muscle samples from healthy adult males aged [≥]18 years, with an age range of [≥] 10 years and sample size [≥] 6. Raw counts data were downloaded, appraised and TMM normalised. Dataset-level associations between age and target gene expression were assessed using linear and generalised additive models (GAMs). Random-effects meta-analyses were performed, and heterogeneity, publication bias and leave-one-out sensitivity assessed. ResultsSixteen skeletal muscle bulk RNA-seq datasets (n = 364; age 18-92 years) were eligible for inclusion in the meta-analyses. AR expression was negatively associated with age ({beta} = -0.006 log2 TMM-CPM per year, p < 0.001) corresponding to a 4.4% decrease in expression per decade. Age was also associated with a significant reduction in expression of various regulators of AR stability, transcriptional activity and nuclear transport. Additionally, steroidogenic enzymes and key downstream targets of the AR, including genes encoding for key structural proteins and mitochondrial function were negatively associated with age. ConclusionsCollectively, these findings suggest a multi-faceted age-associated remodelling of AR expression, signalling and nuclear transport that may contribute to the development of anabolic resistance and consequent age-associated muscle loss.

physiology↗

bioRxiv2026

Optical Spectral Fingerprinting Enables Sensitive Detection of Anthracycline Chemotherapeutics in Synthetic Clinical Biofluids

Anthracycline chemotherapeutics are commonly used as frontline treatments for a wide array of cancers. However, their administration to patients results in substantial side effects, primarily cardiotoxicity, as well as myelosuppression and gastrointestinal toxicity. Current clinical management of such side effects is solely based on a lifetime dosage limit, which inhibits their anti-tumor efficacy. Many individualized factors, including age, family history of cardiovascular disease, treatment regimen, and other co-morbidities influence drug pharmacology. Despite this heterogeneity, there is no method for determining actual organ or tumor exposure to the treatment in an individual. Here, we developed an optical nanosensor array for four anthracyclines--doxorubicin, daunorubicin, epirubicin, and idarubicin. We used single-walled carbon nanotubes as the signal transducer due to their tunable near-infrared fluorescence. We screened twelve distinct ssDNA sequences paired with seven SWCNT (n,m) species at increasing concentrations of each of the four anthracyclines. The spectral responses were then used to develop machine learning-based classification models to identify different anthracycline types and concentrations. The optimized extreme gradient boosting model was able to classify high levels of each anthracycline with 100% accuracy. Concentration-based classification by PCA was performed for each anthracycline, distinguishing low ([≤] 5 {micro}M) and high (> 5 {micro}M) concentrations. Finally, we validated the sensor performance using synthetic urine and sweat. Our findings demonstrate the potential of carbon nanotube-based sensor array to measure the pharmacokinetics of anthracyclines in patients with the goal of enhancing anti-tumor efficacy and monitoring off-target toxicities.

bioengineering↗

bioRxiv2026

Selective and robust dopamine detection is enabled by aptamer-SWCNT optical sensors in physiological media

Monitoring dopamine in complex biological environments is essential for understanding neurological disorders and disease diagnosis, though it presents a unique chemical challenge. In this work, we rationally designed several single-walled carbon nanotube (SWCNT)-based near-infrared fluorescent sensors for dopamine using ssDNA aptamers as selective molecular recognition elements. The performance of three dopamine-selective aptamer-SWCNT hybrids and sensitive but non-selective (GT)10-SWCNT constructs were evaluated and compared for their magnitude of response, sensitivity, and selectivity to dopamine. We performed these studies in buffer, in complex media with noradrenaline and serotonin, and in synthetic cerebrospinal fluid. We evaluated sensor constructs alone, with heat + divalent cation addition, and with four different molecular passivation agents. Ultimately, sensors passivated with bovine serum albumin (BSA) demonstrated strong selectivity for dopamine relative to noradrenaline, serotonin, and ascorbic acid, with a greater magnitude of response compared to (GT)10-SWCNT. Concentration-response curves in PBS, in a serotonin and noradrenaline solution, and artificial cerebrospinal fluid (aCSF) revealed dynamic ranges between 30 and 200 nM, and we found that the response occurs within five minutes. Together, these results demonstrate that dopamine aptamer-SWCNT sensors enable more selective and robust optical detection in complex biological environments.

bioengineering↗

bioRxiv2026

High-throughput SWCNT NIR-II screening enables cell and in vivo applications

Diagnostic sensor development and clinical translation lag, in part, due to a lack of rapid, high-throughput screening methodology. Optimization of high-throughput sensor development and deployment will likely help in expediting tools toward the clinic. To address this issue, we optimized high-throughput screening parameters using a near-infrared (NIR-II) plate reader attached to an external probe for in vivo testing. We assessed spectroscopy parameters to improve speed and precision in screening a single-walled carbon nanotube (SWCNT)-based optical sensor. To do so, we assessed the appropriate well plate specifications, including laser power, excitation wavelength, exposure time, and focal height parameters for SWCNT-based optical sensor development. We also used the plate reader to screen fluorescent SWCNT which were endocytosed by a macrophage cell line. We then performed NIR probe spectroscopy to assess SWCNT embedded within a methylcellulose hydrogel. Finally, we used the NIR probe to measure SWCNT center wavelength and intensity from live immunocompetent mice. We anticipate that this framework may be broadly applicable to the development of near infrared nanosensors with the potential for more rapid clinical diagnostic translation.

bioengineering↗

bioRxiv2026

Endocytosis of PEGylated polymeric mesoscale nanoparticles is dynamin- and macropinocytosis-dependent

Nanotechnology is rapidly transforming medicine by enabling versatile platforms for targeted delivery, controlled release, and intracellular transport of therapeutic payloads. Polymeric mesoscale nanoparticles (MNPs) are 300 to 500 nm in diameter with a PEGylated surface that exhibit unique renal tropism, specifically toward renal tubular epithelial cells. Despite their well-described therapeutic applications and route of localization to the tubules, we do not yet understand their physicochemical stability and cellular internalization mechanisms. In this study, we investigated the stability of MNPs under stress conditions by subjecting them to repeated freeze-thaw cycles and varying storage conditions to evaluate the effects on particle size and polydispersity index. MNPs demonstrated negligible changes in size and PDI up to 4 freeze-thaw cycles. We found that both empty and dye-loaded MNPs demonstrated negligible change in size under standard -20{degrees}C storage conditions. While empty MNPs were only stable at room temperature for one day, and not at 37{degrees}C, dye-loaded nanoparticles were stable for at least eight days under both storage conditions. We then performed in vitro studies to evaluate MNP cellular uptake mechanisms using the human renal cell carcinoma cell line 786-O treated with pharmacological inhibitors of uptake pathways. We found that MNP internalization is almost entirely prevented by dynamin inhibitors, while macropinocytosis inhibition also reduced uptake, suggesting that such standard nanoparticle uptake pathways are robust to the mesoscale size range. These findings provide key insights into the stability profile and endocytosis mechanisms of MNPs, which are critical for materials scale-up and translation of novel kidney-targeted drug and gene therapies.

bioengineering↗

bioRxiv2026

Screening Molecular Recognition Element-Based SWCNT Optical Sensors for the Inflammatory Cytokine TNF-α

TNF- (Tumor Necrosis Factor) is a proinflammatory cytokine that amplifies inflammatory response and promotes leukocyte recruitment. TNF- is primarily produced by activated macrophages, among others, in response to infection, inflammation, or tissue damage. Given its central role in normal and abnormal immune responses, it is the target of several therapeutics, such as adalimumab and etanercept. TNF- is also a prognostic and diagnostic biomarker associated with Rheumatoid Arthritis, Alzheimers disease, Multiple Sclerosis, several kidney diseases, several cancers, Type 2 diabetes, sepsis, and others. Spatial quantification of TNF- in disease models can also be a powerful tool to understand the contributions of inflammatory processes to disease progression. Single-walled carbon nanotubes (SWCNT) are cylindrical carbon lattices that emit distinct near-infrared bandgap photoluminescence. In this work, we evaluated three aptamer-based sensor constructs, plus an additional two iterations of one aptamer sequence, and two antibody-based sensor constructs for TNF- that use SWCNT near-infrared photoluminescence signal transduction. Several, but not all, of these aptamer and antibody-based sensors sensitively and selectively detected TNF- in serum in a physiologically relevant range, and we found that their sensing was improved by both passivation and incorporating an exogenous quencher onto the aptamer sequence. Specifically, we found that modification of one aptamer sequence with a Black Hole Quencher induced selective detection in serum when passivated with poly-L-Lysine. This study highlights the importance, and challenges, of translating previously-validated molecular recognition elements to new detection conditions, in this case on the surface of SWCNT and in challenging serum conditions. It also validated a lead sensor construct that builds upon constructs that failed in serum. We anticipate that the sensors evaluated here will have utility in both the diagnosis and study of inflammation-driven chronic disease, while the sensor assessment framework will help drive the broader field of molecularly specific diagnostics.

bioengineering↗

bioRxiv2025

Cryo-EM structures of anti Z-DNA antibodies in complex with antigen reveal distinct recognition modes of a left-handed geometry

Double-stranded nucleic acids can undergo transitions from canonical B/A-forms to alternate left-handed Z-DNA/Z-RNA (Z-NAs). Z-NAs are implicated in processes such as neuroinflammation in Alzheimers disease, Lupus Erythematosus, microbial biofilms, and type I interferon-mediated human pathologies. Since endogenous Z-NA sensors like the Z domain can induce B-to-Z transitions, monoclonal antibodies (mAbs) Z-D11 and Z22 have been regarded as conformation-specific tools to confirm Z-NA in situ, although high-resolution structural information is missing. Here, we employed single-particle cryo-electron microscopy to solve structures of Z-D11 and Z22 bound to synthetic d(CG)6 12mer Z-DNA duplex. Both mAbs form filamentous trimers around the Z-DNA axis, further stabilized by Fab-Fab interactions. The mAbs achieve specificity through extensive contacts to both Z-form backbone strands and the exposed guanine/cytosine bases in the major groove. This mode of recognition is dictated by shape complementarity rather than sequence specificity, sensing the alternating syn/anti backbone torsions and the phosphate zig-zag geometry unique to Z-DNA. Our data also suggest that these mAbs are not inducing B-to-Z transitions under normal physiological conditions. Finally, comparison to other double-stranded NA-binding mAbs defines a similar structural logic adapted to different helical geometry recognition patterns, thus providing a framework for engineering highly specific nucleic acid probes.

biochemistry↗

bioRxiv2025

Multiplexed Molecularly-Specific SWCNT Cytokine Sensing is Enabled and Enhanced by Amine-Functionalized DNA Aqueous Two-Phase Extraction

Single-walled carbon nanotubes (SWCNT) are versatile building blocks for optical sensors. Their carbon lattice structure, denoted by chiral (n,m) indices, determines the wavelength of their near infrared fluorescence emission. Commercially available SWCNT are polydisperse, containing many (n,m) species with overlapping fluorescence peaks, leading to spectral congestion. Aqueous two-phase extraction (ATPE) has emerged as a valuable tool to sort SWCNT according to their chiral structure and promises improved nanosensor performance as well as unique opportunities for multiplexing. Previous applications of ATPE have enabled ratiometric sensors, but simultaneous detection of multiple analytes using distinct SWCNT chiralities has yet to be realized. This hurdle is largely due to the contrasting surface chemistries needed for ATPE sorting and those needed for biosensing applications. In this work, we introduce a method for purifying multiple chiralities of SWCNT which can be functionalized with molecularly specific antibodies to create a multiplexed sensor platform. We utilize aminated DNA (DNA-NH2), which serves as both a conduit for ATPE sorting and an intermediate linker for later antibody conjugation, to realize this goal. We demonstrate that chemically modified DNA enables ATPE sorting, supporting the broad future utility of the technique. We further show that chirality-sorted SWCNT-DNA-NH2 serve as excellent base constructs for antibody conjugation, forming highly specific sensors with enhanced optical properties (compared to unsorted SWCNT sensors). Importantly, one batch of monochiral base constructs can be functionalized with different antibodies towards different biological applications. Finally, we show that we can sort and functionalize two separate SWCNT chiralities and combine them together to create a multiplexed sensor platform where each peak responds distinctly to its target. There are vast opportunities for expansion of this work through the use of alternative DNA sequences to enable sorting, various SWCNT chiralities, and virtually any commercially available antibody for molecular recognition.

bioengineering↗

bioRxiv2024

The transcriptomic signature of age and sex is not conserved in human primary myocytes

BackgroundHuman primary muscle cell (HPMC) lines derived from skeletal muscle biopsies are potentially powerful tools to interrogate the molecular pathways underlying fundamental muscle mechanisms. HPMCs retain their genome in culture, but many endogenous circulating factors are not present in the in vitro environment, or at concentrations that do not mirror physiological levels. To address the assumption that HPMCs are valid models of age and sex-specificity in human muscle research, we examined to what extent HPMC lines retain their source phenotype in culture. MethodsBiopsies from the vastus lateralis muscle were collected from ten males aged 18-30, ten females aged 18-30 and ten males aged 60-75 recruited from a general, healthy population. A portion of the muscle was used for the establishment of 30 individual HMPC lines. The remaining sample was immediately snap frozen and stored for further analysis. RNA was extracted from muscle tissue samples and their corresponding, fully differentiated HMPCs and analysed using RNA Sequencing. To compare their transcriptomic signature, principal component analysis (PCA), differential expression analysis, single-cell deconvolution and pathway enrichment analysis were conducted in R. ResultsA comparison of the transcriptomic signature of 30 human muscle biopsies and their corresponding HPMCs indicated a near-complete lack of retention of the genes and pathways differentially regulated in vivo when compared to their in vitro equivalent, with the exception of several genes encoded on the Y-chromosome. ConclusionsThe diversity of resident cell populations in muscle tissue and the lack of sex- and age-dependent circulating factors in the cellular milieu likely contribute to these observations, which call for caution when using HPMCs as an experimental model of human muscle sex or age.

cell biology↗

bioRxiv2024

Total testosterone is not associated with muscle mass, function or exercise adaptations in pre-menopausal females

Key pointsO_LIBioavailable testosterone was positively related to exercise-induced muscle hypertrophy in pre-menopausal females. C_LIO_LINuclear localisation of the androgen receptor was positively related to muscle mass in pre-menopausal females before resistance training, but not with resistance-training induced hypertrophy. C_LIO_LITotal testosterone is not related to muscle mass or strength in pre-menopausal females. C_LIO_LITestosterone treatment induced androgen receptor nuclear translocation, but did not induce mTOR signalling in myocytes from pre-menopausal females. C_LI Testosterone, the major androgen hormone, influences the reproductive and non-reproductive systems in males and females via binding to the androgen receptor (AR). Both circulating endogenous testosterone and muscle AR protein content are positively associated with muscle mass and strength in males, but there is no such evidence in females. Here, we tested whether circulating testosterone levels were associated with muscle mass, function, or the muscle anabolic response to resistance training in pre-menopausal females. Twenty-seven pre-menopausal, untrained females (aged 23.5 {+/-} 4.8) underwent a 12-week resistance training program. Muscle strength, size, power and plasma and urine androgen hormone levels were measured. Skeletal muscle biopsies were collected before and after the training program to quantify the effect of resistance training on AR protein and mRNA content, and nuclear localisation. Primary muscle cell lines were cultured from a subset (n=6) of the participants biopsies and treated with testosterone to investigate its effect on myotube diameter, markers of muscle protein synthesis and AR cellular localisation. Total testosterone was not associated with muscle mass or strength at baseline or with the changes in muscle mass and strength that occurred in response to resistance training. In vitro, supra-physiological doses of testosterone increased myocyte diameter, but this did not occur via the Akt/mTOR pathway as previously suggested. Instead, we show a marked increase in AR nuclear localisation with testosterone administration. In conclusion, we found that, bioavailable testosterone and the proportion of nuclear-localised AR, but not total testosterone, with skeletal muscle mass and strength in pre-menopausal females.

physiology↗

bioRxiv2024

An optical aptamer-based cytokine nanosensor detects macrophage activation by bacterial toxins

Overactive or dysregulated cytokine expression is hallmark of many acute and chronic inflammatory diseases. This is true for acute or chronic infection, neurodegenerative diseases, autoimmune diseases, cardiovascular disease, cancer, and others. Cytokines such as interleukin-6 (IL-6) are known therapeutic targets and biomarkers for such inflammatory diseases. Platforms for cytokine detection are therefore desirable tools for both research and clinical applications. Single-walled carbon nanotubes (SWCNT) are versatile nanomaterials with near-infrared fluorescence that can serve as transducers for optical sensors. When functionalized with an analyte-specific recognition element, SWCNT emission may become sensitive and selective towards the desired target. SWCNT-aptamer sensors are easily assembled, inexpensive, and biocompatible. In this work, we introduced a nanosensor design based on SWCNT and a DNA aptamer specific to IL-6. We first evaluated several SWCNT-aptamer constructs based on this simple direct complexation method, wherein the aptamer both solubilizes the SWCNT and confers sensitivity to IL-6. The sensor limit of detection, 105 ng/mL, lies in the relevant range for pathological IL-6 levels. Upon investigation of sensor kinetics, we found rapid response within seconds of antigen addition which continued over the course of three hours. We found that this sensor construct is stable, and the aptamer is not displaced from the nanotube surface during IL-6 detection. Finally, we investigated the ability of this sensor construct to detect macrophage activation caused by bacterial lipopolysaccharides (LPS) in an in vitro model of disease, finding rapid and sensitive detection of macrophage-expressed IL-6. We are confident further development of this sensor will have novel implications for diagnosis of acute and chronic inflammatory diseases, in addition to contributing to the understanding of the role of cytokines in these diseases.

bioengineering↗

bioRxiv2024

Rapid differentiation of estrogen receptor status in patient biopsy breast cancer aspirates with an optical nanosensor

Breast cancer is a substantial source of morbidity and mortality worldwide. It is particularly more difficult to treat at later stages, and treatment regimens depend heavily on both staging and the molecular subtype of the tumor. However, both detection and molecular analyses rely on standard imaging and histological method, which are costly, time-consuming, and lack necessary sensitivity/specificity. The estrogen receptor (ER) is, along with the progesterone receptor (PR) and human epidermal growth factor (HER-2), among the primary molecular markers which inform treatment. Patients who are negative for all three markers (triple negative breast cancer, TNBC), have fewer treatment options and a poorer prognosis. Therapeutics for ER+ patients are effective at preventing disease progression, though it is necessary to improve the speed of subtyping and distribution of rapid detection methods. In this work, we designed a near-infrared optical nanosensor using single-walled carbon nanotubes (SWCNT) as the transducer and an anti-ER antibody as the recognition element. The nanosensor was evaluated for its response to recombinant ER in buffer and serum prior to evaluation with ER- and ER+ immortal cell lines. We then used a minimal volume of just 10 {micro}L from 26 breast cancer biopsy samples which were aspirated to mimic fine needle aspirates. 20 samples were ER+, while 6 were ER-, representing 13 unique patients. We evaluated the potential of the nanosensor by investigating several SWCNT chiralities through direct incubation or fractionation deployment methods. We found that the nanosensor can differentiate ER-from ER+ patient biopsies through a shift in its center wavelength upon sample addition. This was true regardless of which of the three SWCNT chiralities we observed. Receiver operating characteristic area under the curve analyses determined that the strongest classifier with an AUC of 0.94 was the (7,5) chirality after direct incubation and measurement, and without further processing. We anticipate that further testing and development of this nanosensor may push its utility toward field-deployable, rapid ER subtyping with potential for additional molecular marker profiling.

bioengineering↗

bioRxiv2023

Noninvasive Injectable Optical Nanosensor-Hydrogel Hybrids Detect Doxorubicin in Living Mice

While the tissue-transparent fluorescence of single-walled carbon nanotubes (SWCNTs) imparts substantial potential for use in non-invasive biosensors, development of non-invasive systems is yet to be realized. Here, we investigated the functionality of a SWCNT-based nanosensor in several injectable SWCNT-hydrogel systems, ultimately finding SWCNT encapsulation in a sulfonated methylcellulose hydrogel optimal for detection of ions, small molecules, and proteins. We found that the hydrogel system and nanosensor signal were stable for several weeks in live mice. We then found that this system successfully detects local injections of the chemotherapeutic agent doxorubicin in mice. We anticipate future studies to adapt this device for detection of other analytes in animals and, ultimately, patients.

bioengineering↗

bioRxiv2022

Functional Recovery from Human Induced Pluripotent Stem Cell-Derived Dopamine Neuron Grafts is Dependent on Neurite Outgrowth

Transplantation of human pluripotent stem cell-derived dopaminergic (DA) neurons is an emerging therapeutic strategy for Parkinsons disease (PD). In this study, we demonstrate, for the first time, that that functional recovery after DA neuron transplant is critically dependent on graft-host integration, and not dependent on graft size or DA neuron content. Specifically, in anticipation of an autologous DA neuron transplant strategy, we studied two human induced pluripotent stem cell lines derived from people with idiopathic PD. We confirmed the cells ability to differentiate into mature DA neurons in vitro by assessing electrophysiology and depolarization-induced neurotransmitter release. To evaluate efficacy, we transplanted DA neuron precursors into a hemiparkinsonian rat model. We differentiated the cell lines for either 18 (d18) or 25 days (d25) to investigate the effect of cell maturity on efficacy. We found comparable graft survival in d18 and d25 groups from both cell lines, but behavioral analysis revealed that only d18 preparations, from both cell lines, resulted in recovery of motor impairments. Immunohistochemical analysis did not reveal any DA neuron-associated markers that correlated with efficacy. However, we found striking and consistent differences in graft neurite outgrowth between the two culture timepoints. The functional grafts from d18 cells had more outgrowth than non-functional d25 grafts. A time course of gene expression during differentiation of the cell lines revealed differences in genes associated with DA neuron development and neurite plasticity. These results are the first to demonstrate that graft-host integration, and not DA neuron content, is key to graft-induced functional recovery. The gene expression profiling may offer insight into the optimal developmental stage for graft efficacy.

neuroscience↗

bioRxiv2022

Imaging optically thick tissues simply and reproducibly: a practical guide to Lightsheet Macroscopy

Lightsheet microscopy offers an ideal method for imaging of large (mm-cm scale) biological tissues rendered transparent via optical clearing protocols. However the diversity of clearing technologies and tissue types, and how these are adapted to the microscope can make tissue mounting glitchy and somewhat irreproducible. Tissue preparation for imaging can involve glues and or equilibration in a variety of expensive and/or proprietary formulations. Here we present practical advice for mounting and capping cleared tissues in optical cuvettes for macroscopic imaging, providing a standardized 3D cell that can be imaged routinely and relatively inexpensively. We show that acrylic cuvettes should be non-aberrating with objective numerical apertures less than 0.65, and present an inexpensive tool for alignment and calibration of standard lightsheet parameters. Mouse embryo, liver and heart imaging are demonstrated as examples with practical recommendations for acquisition and post-processing.

bioengineering↗

bioRxiv2021

Defining the Yeast Resistome through in vitro Evolution and Whole Genome Sequencing

In vitro evolution and whole genome analysis were used to comprehensively identify the genetic determinants of chemical resistance in the model microbe, Saccharomyces cerevisiae. Analysis of 355 curated, laboratory-evolved clones, resistant to 80 different compounds, demonstrates differences in the types of mutations that are identified in selected versus neutral evolution and reveals numerous new, compound-target interactions. Through enrichment analysis we further identify a set of 137 genes strongly associated with or conferring drug resistance as indicated by CRISPR-Cas9 engineering. The set of 25 most frequently mutated genes was enriched for transcription factors and for almost 25 percent of the compounds, resistance was mediated by one of 100 independently derived, gain-of-function, single nucleotide variants found in 170-amino-acid domains in two Zn2C6 transcription factors, YRR1 and YRM1 (p < 1x 10 -100). This remarkable enrichment for transcription factors as drug resistance genes may explain why it is challenging to develop effective antifungal killing agents and highlights their important role in evolution.

genetics↗

bioRxiv2020

Edaravone-Loaded Mesoscale Nanoparticles Treat Cisplatin-Induced Acute Kidney Injury

Cisplatin-induced acute kidney injury (CI-AKI) is a significant co-morbidity of chemotherapeutic regimens. While this condition is associated with substantially lower survival and increased economic burden, there is no pharmacological agent to effectively treat CI-AKI. The disease is hallmarked by acute tubular necrosis of the proximal tubular epithelial cells primarily due to increased oxidative stress. In our prior work, we developed a highly-selective kidney-targeted mesoscale nanoparticle (MNP) that accumulates primarily in the renal proximal tubular epithelial cells while exhibiting no toxicity. Here, we found that MNPs exhibit renal-selective targeting in multiple mouse models of tumor growth with virtually no tumor accumulation. We then evaluated the therapeutic efficacy of MNPs loaded with the reactive oxygen species scavenger edaravone in a mouse model of CI-AKI. We found a marked and significant therapeutic effect with this approach as compared to free drug or empty control MNPs, including improved renal function, histology, and diminution of oxidative stress. These results indicated that renal-selective MNP edaravone delivery holds substantial potential in the treatment of acute kidney injury among patients undergoing cisplatin-based chemotherapy.

bioengineering↗