Biology subjects

Barrett, S.

Publications and source records attributed to Barrett, S..

7 recordsLinked to original sources

bioRxiv2026

Scalable single-cell isoform profiling with sequencing-by-expansion

Single-cell RNA sequencing has transformed our understanding of cellular systems, yet the reliance on short-read sequencing restricts analysis to gene-level quantification and obscures the immense biological diversity generated by alternative splicing. While long-read sequencing technologies can capture full-length RNA and resolve transcript isoforms, current platforms remain constrained by throughput and high per-base costs, rendering them impractical for modern million-cell applications. To address this critical limitation, we developed and optimized sequencing-by-expansion (SBX) chemistry for high-throughput single-cell RNA isoform profiling. Integrated within the AXELIOS 1 sequencing platform, SBX employs a unique biochemical conversion process that transforms complementary DNA into expanded surrogate high signal-to-noise polymers called Xpandomers which are sequenced via translocation through a dense nanopore array yielding over 9.5 billion reads in a two-hour run. To leverage this unique data type for long-read single-cell RNA isoform sequencing, we developed the Consensus UMI Deduplication using Longest Length (CUDLL) algorithm, which computationally consolidates variable-length raw SBX reads into single, high-fidelity consensus reads, elevating sequence accuracy to 99.83% and maximizing per transcript read length. We demonstrate that this consensus approach successfully captures the vast isoform diversity of single-cell libraries and enables the accurate measure of differential isoform expression across distinct cell types in peripheral blood mononuclear cells. Furthermore, SBX coupled with CUDLL efficiently resolves T-cell and B-cell receptor clonotypes directly from whole-transcriptome libraries without the need for VDJ-specific target enrichment. Ultimately, this work establishes SBX and the AXELIOS 1 as a transformative platform for high-scale single-cell isoform sequencing.

genetics↗

bioRxiv2025

Sequencing by Expansion (SBX) -- a novel, high-throughput single-molecule sequencing technology

Remarkable advances in high-throughput sequencing have enabled major biological discoveries and clinical applications, but achieving wider distribution and use depends critically on further improvements in scale and cost reduction. Nanopore sequencing has long held the promise for such progress, but has had limited market penetration. This is because efficient and accurate nanopore sequencing of nucleic acids has been challenged by fundamental signal-to-noise limitations resulting from the poor spatial resolution and molecular distinction of nucleobases. Here, we describe Sequencing by Expansion (SBX), a single-molecule sequencing technology that overcomes these limitations by using a biochemical conversion process to encode the sequence of a target nucleic acid molecule into an Xpandomer, a highly measurable surrogate polymer. Expanding over 50 times longer than the parent DNA templates, Xpandomers are engineered with high signal-to-noise reporter codes to enable facile, high-accuracy nanopore sequencing. We demonstrate the performance of SBX and present the specialized molecular structures, chemistries, enzymes and methods that enable it. The innovative molecular and systems engineering in SBX create a transformative technology to address the needs of existing and emerging sequencing applications.

genomics↗

bioRxiv2024

Molecular Magnetic Resonance Imaging of Dysregulated Zinc Secretion Detects Early Pancreatic Ductal Adenocarcinoma Lesions and Response to KRASG12D Inhibitor Treatment

Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal cancer, primarily due to late-stage diagnosis and limited treatment options. Zinc homeostasis is markedly dysregulated in PDAC and this dysregulation can be probed by administering a secretagogue to stimulate zinc secretion (SSZS) in the exocrine pancreas and imaging this secretion with a zinc sensitive MRI probe. This study demonstrates the potential of SSZS MRI for early detection, monitoring treatment response, and assessing recurrence after treatment withdrawal in PDAC. Our approach relies on interrogating the pancreas, circumventing the challenge of locating small, elusive tumors. By SSZS MRI, we detected PDAC by observing the unique zinc hypersecretory activity of the pancreas when malignancy is present. We observed dysregulation of zinc transporters in both human and mouse pancreas containing PDAC and confirmed secretagogue-stimulated zinc secretion in vitro and in vivo. We found that combining secretagogues such as secretin and caerulein maximized zinc secretion and as such MRI signal in the pancreas. Notably, SSZS MRI detected treatment responses to KRAS G12D inhibition within 3-5 days and identified cancer recurrence as early as one day post-treatment withdrawal. Additionally, secretagogue stimulation improved treatment responses and delayed recurrence in both treatment models. These findings suggest that SSZS MRI could significantly enhance PDAC diagnosis and management, providing a novel, non-invasive imaging modality to improve patient outcomes. STATEMENT OF SIGNIFICANCEThis study demonstrates the utility of secretagogue-stimulated zinc secretion (SSZS) MRI in detecting pancreatic ductal adenocarcinoma (PDAC) at early stages, monitoring treatment responses, and assessing cancer recurrence, thereby offering a promising non-invasive imaging modality to improve PDAC patient management and outcomes.

cancer biology↗

bioRxiv2024

Evolutionary double-bind treatment using radiotherapy and NK cell-based immunotherapy in prostate cancer

Evolution-informed therapies exploit ecological and evolutionary consequences of drug resistance to inhibit the expansion of treatment-resistant populations and prolong time to progression. One strategy, termed an evolutionary double-bind, uses an initial therapy to elicit a specific adaptive response by the cancer cells, which is then selectively targeted by a follow-on therapy. Here we examine the combination of radiation therapy and immunotherapy as a quantifiable double-bind strategy. Radiotherapy (RT) induces lethal double-strand DNA breaks, but cancer cells can adapt by upregulating DNA damage response pathways. While this evolutionary strategy increases resistance to DNA damaging agents, it also results in enhanced expression of natural killer (NK) cell ligands potentially increasing vulnerability to an immune response. Using a radiation-resistant human prostate carcinoma cell line (22Rv1), we demonstrate that RT-resistant cells upregulate NK cell ligands, including major histocompatibility complex class I chain-related protein A/B (MICA/B), and poliovirus receptors (PVR1, PVRL2) with a 2-fold increase in sensitivity to NK cell mediated killing. We investigated this potential evolutionary double bind through in vitro studies and evolution-based mathematical models. Radiotherapy alone slowed overall growth but strongly selected for RT-resistant cells. NK cell therapy alone suppressed the RT-resistant population but with a surviving population of radiation-sensitive cells. These dynamics were framed mathematically, and model simulation predicted optimal tumour control would be achieved through initial RT rapidly followed by NK-based immunotherapy. Subsequent experiments confirmed the model prediction. We conclude that radiotherapy and NK cell-based immunotherapy produces an evolutionary double bind that can be exploited in heterogenous tumours to limit RT resistance.

cancer biology↗

bioRxiv2023

EXTRACELLULAR PERINEXAL SEPARATION IS A PRINCIPAL DETERMINANT OF CARDIAC CONDUCTION

RationaleCardiac conduction is understood to occur through gap junctions. Recent evidence supports ephaptic coupling as another mechanism of electrical communication in heart. Conduction via gap junctions predicts a direct relationship between conduction velocity (CV) and bulk extracellular volume. Ephaptic theory is premised on the existence of a biphasic relationship between CV and the volume of specialized extracellular clefts within intercalated discs. ObjectiveDetermine the relationship between ventricular CV and structural changes to micro and nano-scale extracellular spaces. MethodsConduction and connexin43 (Cx43) gap junction protein expression were quantified from optically mapped guinea pig whole-heart preparations perfused with albumin, mannitol, dextran 70kDa, or dextran 2MDa. Peak sodium current was quantified from isolated guinea pig ventricular myocytes. Extracellular resistance (Re) was quantified by impedance spectroscopy. Intercellular communication was assessed in a heterologous expression system with fluorescence recovery after photobleaching. Perinexal width was quantified from transmission electron micrographs. ResultsCV was significantly reduced by mannitol, and increased by albumin, dextran 70kDa and 2MDa. The combination of albumin and dextran 70kDa decreased CV relative to albumin alone. Re was reduced by mannitol, not significantly changed by albumin, and increased by both dextran 70kDa and dextran 2MDa. Cx43 gap junction expression and conductance, and peak sodium current were not significantly altered by the osmotic agents. The perinexal width in response to osmotic agents, in order of narrowest to widest, was: albumin with dextran 70kDa, albumin or dextran 2MDa alone, dextran 70kDa or no osmotic agent, and mannitol. When compared in the same order, CV was biphasically related to perinexal width. ConclusionsCardiac conduction does not correlate with bulk tissue impedance, but is biphasically related to perinexal separation, providing evidence that the relationship between CV and extracellular volume in ventricular myocardium is determined by ephaptic mechanisms under conditions of normal gap junctional coupling.

biophysics↗

bioRxiv2022

Assessment of ethanol and nicotine interactions using a reinforcer demand modeling with grouped and individual levels of analyses in a long-access self-administration model.

Previous reports have indicated the reciprocal effects of nicotine and ethanol on their rewarding and reinforcing properties, but studies using methodological approaches resembling substance use in vulnerable populations are lacking. In our study, rats first self-administered ethanol, and their sensitivity to ethanols reinforcing effects was assessed using a reinforcer demand modeling approach. Subsequently, rats were equipped with intravenous catheters to self-administer nicotine, and their sensitivity to nicotines reinforcing effects was evaluated using the same approach. In the final phase, rats were allowed to self-administer ethanol and nicotine concurrently, investigating the influence of one substance on the rate of responding for the other substance. Group analyses revealed notable differences in demand among sucrose, sweetened ethanol, and ethanol-alone, with sucrose demonstrating the highest demand and ethanol-alone exhibiting greater sensitivity to changes in cost. At the individual level, our study finds significant correlations between rats demand for sucrose and sweetened ethanol, suggesting parallel efforts for both substances. Our individual data also suggest interconnections in the elasticity of demand for sweetened ethanol and ethanol-alone, as well as a potential relationship in price response patterns between ethanol and nicotine. Furthermore, concurrent self-administration of ethanol and nicotine at the group level displayed reciprocal effects, with reduced responding for nicotine in the presence of ethanol and increased responding for ethanol in the presence of nicotine. This study provides valuable insights into modeling the co-use of ethanol and nicotine and assessing their interaction effects using reinforcer demand modeling and concurrent self-administration or noncontingent administration tests. These findings contribute to our understanding of the complex interplay between ethanol and nicotine and have implications for elucidating the underlying mechanisms involved in polydrug use.

animal behavior and cognition↗

bioRxiv2017

ciRS-7 exonic sequence is embedded in a long-noncoding RNA locus

ciRS-7 is an intensely studied, highly expressed and conserved circRNA. Essentially nothing is known about its biogenesis, including the location of its promoter. A prevailing assumption has been that ciRS-7 is an exceptional circRNA because it is transcribed from a locus lacking any mature linear RNA transcripts of the same sense. Our interest in the biogenesis of ciRS-7 led us to develop an algorithm to define its promoter. This approach predicted that the human ciRS-7 promoter coincides with that of the long non-coding RNA, LINC00632. We validated this prediction using multiple orthogonal experimental assays. We also used computational approaches and experimental validation to establish that ciRS-7 exonic sequence is embedded in linear transcripts that are flanked by cryptic exons in both human and mouse. Together, this experimental and computational evidence generate a new view of regulation in this locus: (a) ciRS-7 is like other circRNAs, as it is spliced into linear transcripts; (b) expression of ciRS-7 is primarily determined by the chromatin state of LINC00632 promoters; (c) transcription and splicing factors sufficient for ciRS-7 biogenesis are expressed in cells that lack detectable ciRS-7 expression. These findings have significant implications for the study of the regulation and function of ciRS-7, and the analytic framework we developed to jointly analyze RNA-seq and ChlP-seq data reveal the potential for genome-wide discovery of important biological regulation missed in current reference annotations.\n\nAuthor SummarycircRNAs were recently discovered to be a significant product of host gene expression programs but little is known about their transcriptional regulation. Here, we have studied the expression of a well-known circRNA named ciRS-7. ciRS-7 has an unusual function for a circRNA; it is believed to be a miRNA sponge. Previously, ciRS-7 was thought to be transcribed from a locus lacking any mature linear isoforms, unlike all other circular RNAs known to be expressed in human cells. However, we have found this to be false; using a combination of bioinformatic and experimental genetic approaches, in both human and mouse, we discovered that linear transcripts containing the ciRS-7 exonic sequence, linking it to upstream genes. This suggests the potential for additional functional roles of this important locus and provides critical information to begin study on the biogenesis of ciRS-7.

genetics↗