Biology subjects

Brown, N. J.

Publications and source records attributed to Brown, N. J..

14 recordsLinked to original sources

bioRxiv2026

Adipose tissue as a site of immune activation and dysfunction in individuals with obesity and asthma

Obesity increases local inflammatory responses in adipose tissue. Individuals with obesity have increased asthma incidence and severity and reduced responses to asthma therapeutics through unknown mechanisms. To identify mechanisms by which increased fat mass augments asthma pathogenesis, single cell RNA sequencing of the immune-rich stromovascular fraction of subcutaneous adipose tissue was conducted from well-characterized adults with obesity-associated asthma matched to adults without asthma. Individuals with asthma had increased abundance of perivascular macrophages and lymphoid-associated macrophages (LAMs) and reduced abundance of classical monocytes and CD4+ and CD8+ naive T cells. Pseudo-bulk differential expression (DE) identified upregulation of cellular metabolism, specifically oxidative phosphorylation, and decreased immune homeostatic pathways in asthma across immune cell subsets. Cell type specific DE analysis of effector cell subtypes identified significant induction of metallothionein gene expression in asthma, a signature of immune cell dysfunction characterized by both an activation and exhaustion phenotype. Gene co-expression analysis identified gene modules associated with asthma diagnosis, lung function, and biomarkers of type 2 inflammation were enriched in effector cells. These data identify adipose tissue dysfunction occurs in obesity-associated asthma and support adipose tissue as therapeutic target to address the enhanced asthma risk among those with obesity. Grant SupportNIH U01AI155299, P30DK020593, R01AI182159, K23HL159351, UL1RR024975-03, P30CA68485, P30EY08126, G20RR030956, 5UL1TR002243, KL2TR002245, P30AI110527, DK020593, American Heart Association 17SFRN33520017.

immunology↗

bioRxiv2026

cis- and trans-regulatory factors contributing to divergent activity of the TDH3 promoter in Saccharomyces yeast

Changes in regulatory sequences controlling the timing and activity of gene products underlie much of natural phenotypic variation. Yet, what these changes are and how they impact gene expression remain largely unknown. To address this question, we investigated how transcriptional activity and homeostatic responsiveness of orthologous promoters of the metabolic gene TDH3 evolved among Saccharomyces yeast. We found that promoter expression level increased specifically in the S. cerevisiae lineage and that a substantial part of this increase was caused by genetic variants located between the well-characterized, conserved binding sites for two direct transcriptional regulators. These nucleotide changes altered the promoters expression levels while leaving the expression dynamics conserved. Further, the effects of these nucleotide changes were only seen in the presence of a third transcription factor, TYE7p, which is recruited by the other transcription factors through protein-protein interactions. These results suggest that the cis-regulatory changes act through their influence on the collective assembly/activation of the transcription factors, and that changes acting through such a mechanism can allow distinct parts of gene expression, such as expression level and dynamics, to be tuned separately.

genetics↗

bioRxiv2026

Adaptive evolution of Topoisomerase II triggers reproductive isolation in Drosophila

A fundamental driver of biological diversification is the evolution of reproductive barriers between species. Instability and mis-regulation of repetitive DNA underlie numerous post-zygotic reproductive barriers, yet the molecular mechanisms are unknown. A long-studied genetic incompatibility between Drosophila melanogaster and D. simulans arises from mis-segregation of the D. melanogaster-specific 359bp DNA satellite in hybrid embryos. Here we report that the D. simulans version of the essential enzyme Topoisomerase II/Top2 causes this lethal incompatibility. Combining interspecies gene swaps with cell biology and genetics revealed that D. simulans-specific adaptive divergence of Top2 DNA-interacting domains prevents the resolution of 359bp-induced topological stress. Our findings demonstrate that species-specific DNA satellite topology requires species-specific molecular machinery and that even vital housekeeping genes can underlie reproductive isolation between closely related species.

evolutionary biology↗

bioRxiv2025

SVCROWS: A User-Defined Tool for Delineating Biologically Significant Structural Variants in Heterogeneous Datasets

Genomic structural variants (SVs) are pervasive and can impose major phenotypic impacts. However, it is difficult to appreciate the individual significance of SVs when they are heterogeneously positioned across a genomic neighborhood. Further, ubiquitous variance in SV calling accuracy complicates SV counting and downstream analysis. Tools exist to simplify SV datasets but they are not suited for all applications. Here, we present a new SV merger, SVCROWS: Structural Variation Consensus with Reciprocal Overlap and Weighted Sizes. This option-rich merger summarizes SV regions using a size-weighted reciprocal overlap framework, accounting for skewed impacts of variable-length SVs. User input directs stringency, enabling various levels of resolution in complex genome regions that harbor a spectrum of SV sizes. Further, by optimizing SVCROWS parameters, the user can tailor results to their study system. When compared to other SV merging programs, SVCROWS maintained accuracy and conserved rare genotypes from both simulated and real-world datasets. Visualization of merger output was critical for identifying how some algorithms derived erroneous conclusions while SVCROWS remained reliable, especially in complex regions. Overall, the novel SVCROWS algorithm presents an improved framework for SV interpretation; its intuitive nature and generalizability facilitates its application to virtually any workflow. Graphical AbstractSVCROWS (Structural Variation Consensus with Reciprocal Overlap and Weighted Sizes) is a structural variant merger that leverages option-rich, size-weighted comparisons to better resolve complex inputs and separate out regions of meaningful biological differences. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=96 SRC="FIGDIR/small/634734v3_ufig1.gif" ALT="Figure 1"> View larger version (23K): org.highwire.dtl.DTLVardef@1658d18org.highwire.dtl.DTLVardef@1239f0org.highwire.dtl.DTLVardef@99efeaorg.highwire.dtl.DTLVardef@5607a7_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗

bioRxiv2024

HapCNV: A Comprehensive Framework for CNV Detection in Low-input DNA Sequencing Data

Copy number variants (CNVs) are prevalent in both diploid and haploid genomes, with the latter containing a single copy of each gene. Studying CNVs in genomes from single or few cells is significantly advancing our knowledge in human disorders and disease susceptibility. Low-input including low-cell and single-cell sequencing data for haploid and diploid organisms generally displays shallow and highly non-uniform read counts resulting from the whole genome amplification steps that introduce amplification biases. In addition, haploid organisms typically possess relatively short genomes and require a higher degree of DNA amplification compared to diploid organisms. However, most CNV detection methods are specifically developed for diploid genomes without specific consideration of effects on haploid genomes. Challenges also reside in reference samples or normal controls which are used to provide baseline signals for defining copy number losses or gains. In traditional methods, references are usually pre-specified from cells that are assumed to be normal or disease-free. However, the use of pre-defined reference cells can bias results if common CNVs are present. Here, we present the development of a comprehensive statistical framework for data normalization and CNV detection in haploid single- or low-cell DNA sequencing data called HapCNV. The prominent advancement is the construction of a novel genomic location specific pseudo-reference that selects unbiased references using a preliminary cell clustering method. This approach effectively preserves common CNVs. Using simulations, we demonstrated that HapCNV outperformed existing methods by generating more accurate CNV detection, especially for short CNVs. Superior performance of HapCNV was also validated in detecting known CNVs in a real P. falciparum parasite dataset. In conclusion, HapCNV provides a novel and useful approach for CNV detection in haploid low-input sequencing datasets, with easy applicability to diploids.

bioinformatics↗

bioRxiv2024

Replication stress increases de novo CNVs across the malaria parasite genome

Changes in the copy number of large genomic regions, termed copy number variations (CNVs), contribute to important phenotypes. CNVs are readily identified using conventional approaches when present in a large fraction of the cell population. However, CNVs in only a few genomes are often overlooked but important; if beneficial, a de novo CNV that arises in a single genome can expand during selection to create a population of cells with novel characteristics. While single cell methods for studying de novo CNVs are increasing, we continue to lack information about CNV dynamics in rapidly evolving microbial populations. Here, we investigated de novo CNVs in the genome of the Plasmodium parasite that causes human malaria. The highly AT-rich P. falciparum genome readily accumulates CNVs that facilitate rapid adaptation. We employed low-input genomics and specialized computational tools to evaluate the impact of sub-lethal stress on the de novo CNV rate. We observed a significant increase in genome-wide de novo CNVs following treatment with an antimalarial compound that inhibits replication. De novo CNVs encompassed genes from various cellular pathways participating in human infection. This snapshot of CNV dynamics emphasizes the connection between replication stress, DNA repair, and CNV generation in this important microbial pathogen.

genomics↗

bioRxiv2023

Vectorized instructive signals in cortical dendrites during a brain-computerinterface task

Vectorization of teaching signals is a key element of virtually all modern machine learning algorithms, including backpropagation, target propagation and reinforcement learning. Vectorization allows a scalable and computationally efficient solution to the credit assignment problem by tailoring instructive signals to individual neurons. Recent theoretical models have suggested that neural circuits could implement single-phase vectorized learning at the cellular level by processing feedforward and feedback information streams in separate dendritic compartments1-5. This presents a compelling, but untested, hypothesis for how cortical circuits could solve credit assignment in the brain. We leveraged a neurofeedback brain-computer interface (BCI) task with an experimenter-defined reward function to test for vectorized instructive signals in dendrites. We trained mice to modulate the activity of two spatially intermingled populations (4 or 5 neurons each) of layer 5 pyramidal neurons in the retrosplenial cortex to rotate a visual grating towards a target orientation while we recorded GCaMP activity from somas and corresponding distal apical dendrites. We observed that the relative magnitudes of somatic versus dendritic signals could be predicted using the activity of the surrounding network and contained information about task-related variables that could serve as instructive signals, including reward and error. The signs of these putative teaching signals both depended on the causal role of individual neurons in the task and predicted changes in overall activity over the course of learning. Furthermore, targeted optogenetic perturbation of these signals disrupted learning. These results provide the first biological evidence of a vectorized instructive signal in the brain, implemented via semi-independent computation in cortical dendrites, unveiling a potential mechanism for solving credit assignment in the brain.

neuroscience↗

bioRxiv2022

Coordinated Head Direction Representations in Mouse Anterodorsal Thalamic Nucleus and Retrosplenial Cortex

The sense of direction is critical for survival in changing environments and relies on flexibly integrating self-motion signals with external sensory cues. While the anatomical substrates involved in head direction (HD) coding are well known, the mechanisms by which visual information updates HD representations remain poorly understood. Retrosplenial cortex (RSC) plays a key role in forming coherent representations of space in mammals and it encodes a variety of navigational variables, including HD. Here, we use simultaneous two-area tetrode recording to show that RSC HD representation is nearly synchronous with that of the anterodorsal nucleus of thalamus (ADn), the obligatory thalamic relay of HD to cortex, during rotation of a prominent visual cue. Moreover, coordination of HD representations in the two regions is maintained during darkness. We further show that anatomical and functional connectivity are consistent with a strong feedforward drive of HD information from ADn to RSC, with surprisingly little reciprocal drive in the corticothalamic direction. Together, our results provide direct evidence for a concerted global HD reference update across cortex and thalamus, and establish the underlying functional connectivity that supports this coordination.

neuroscience↗

bioRxiv2022

AAV Vector Transduction Restriction and Attenuated Toxicity in hESCs via a Rationally Designed Inverted Terminal Repeat

Recombinant adeno-associated virus (rAAV) inverted terminal repeats (ITRs) induce p53-dependent apoptosis in human embryonic stem cells (hESCs). To interrogate this phenomenon, a rationally designed ITR (SynITR), deleted for p53 binding sites was evaluated for vector production and gene delivery. While SynITR genomes were decreased for transgenic genome replication compared to wtITRs, similar production titers indicated that replication is not rate-limiting. Packaged in the AAV2 capsid, wtITR and SynITR vectors demonstrated similar transduction efficiencies of human cell lines with no differences in reporter kinetics. Following rAAV2-wtITR infection of hESCs, rapid apoptosis was observed, in contrast, rAAV2-SynITR infection resulted in attenuated hESC toxicity with cells retaining their differentiation potential. While hESC particle entry and double stranded circular episomes was similar for the ITR contexts, reporter expression was significantly inhibited from transduced SynITR genomes. Infection of hESCs induced {gamma}H2AX in an ITR-independent manner, however, canonical activation of p53 was uncoupled using rAAV-SynITR. Further hESC investigations revealed 2 additional novel findings: i) p53{beta} is uniquely and constitutively active, and ii) rAAV infection, independent of the ITR sequence, induces activation of p53{psi}. The data herein reveal an ITR-dependent rAAV transduction restriction specific to hESCs and manipulation of the DNA damage response via ITR engineering.

molecular biology↗

bioRxiv2022

Dendritic compartmentalization of input-specific integration and plasticity rules across cortical development

Biological and artificial neural networks learn by modifying synaptic weights, but it is unclear how these systems can retain previous knowledge and also acquire new information. Here we show that cortical pyramidal neurons can solve this plasticity-versus-stability dilemma by differentially regulating synaptic plasticity at distinct dendritic compartments. Oblique dendrites of adult mouse layer 5b cortical pyramidal neurons selectively received monosynaptic thalamic input, integrated linearly, and-- surprisingly--lacked synaptic potentiation. In contrast, basal dendrites, which do not receive thalamic input, exhibited conventional NMDA receptor-mediated supralinear integration and synaptic potentiation. Congruently, spiny synapses on oblique branches showed low structural plasticity in vivo. A selective decline in NMDAR activity and expression at synapses on oblique dendrites was controlled by an experience-dependent critical period. Our results demonstrate a new biological mechanism for how single neurons can safeguard a set of inputs from ongoing plasticity by altering synaptic properties at distinct dendritic domains.

neuroscience↗

bioRxiv2021

Atomic force microscopy reveals the mechanical properties of breast cancer bone metastases

Mechanically dependent processes are essential in cancer metastases. However, reliable mechanical characterisation of metastatic cancer remains challenging whilst maintaining the tissue complexity and an intact sample. Using atomic force microscopy, we quantified the micro-mechanical properties of relatively intact metastatic breast tumours and their surrounding bone microenvironment isolated from mice, and compared with other breast cancer models both ex vivo and in vitro. A unique mechanical distribution of extremely low elastic modulus and viscosity was identified on metastatic tumours, which were significantly more compliant than both 2D in vitro cultured cancer cells and subcutaneous tumour explants. The presence of mechanically distinct metastatic tumour did not result in alterations of the mechanical properties of the surrounding microenvironment at meso-scale distances (> 200 {micro}m). These findings demonstrate the utility of atomic force microscopy in studies of complex tissues and provide new insights into the mechanical properties of cancer metastases in bone.

cancer biology↗

bioRxiv2020

Mechanical Heterogeneity in the Bone Microenvironment as Characterised by Atomic Force Microscopy

Bones are structurally heterogeneous organs with diverse functions that undergo mechanical stimuli across multiple length scales. Mechanical characterisation of the bone microenvironment is important for understanding how bones function in health and disease. Here we describe the mechanical architecture of cortical bone, the growth plate, metaphysis and marrow in fresh murine bones, probed using atomic force microscopy in physiological buffer. Both elastic and viscoelastic properties are found to be highly heterogeneous with moduli ranging over 3 to 5 orders of magnitude, both within and across regions. All regions include extremely soft areas, with moduli of a few Pascal and viscosities as low as tens Pa*s. Aging impacts the viscoelasticity of the bone marrow strongly but has limited effect on the other regions studied. Our approach provides the opportunity to explore the mechanical properties of complex tissues at the length scale relevant to cellular processes and how these impact on aging and disease. SIGNIFICANCEThe mechanical properties of biological materials at cellular scale are involved in guiding cell fate. However, there is a critical gap in our knowledge of such properties in complex tissues. The physiochemical environment surrounding the cells in in-vitro studies differs significantly from that found in vivo. Existing mechanical characterisation of real tissues are largely limited to properties at larger scales, structurally simple (e.g. epithelial monolayers) or non-intact (e.g. through fixation) tissues. In this paper, we address this critical gap and present the micro-mechanical properties of the relatively intact bone microenvironment. The measured Youngs moduli and viscosity provide a sound guidance in bioengineering designs. The striking heterogeneity at supracellular scale reveals the potential contribution of the mechanical properties in guiding cell behaviour.

biophysics↗

bioRxiv2019

Variants in the degron of AFF3 cause a multi-system disorder with mesomelic dysplasia, horseshoe kidney and developmental and epileptic encephalopathy

The ALF transcription factor paralogs, AFF1, AFF2, AFF3 and AFF4, are components of the transcriptional super elongation complex that regulates expression of genes involved in neurogenesis and development. We describe a new autosomal dominant disorder associated with de novo missense variants in the degron of AFF3, a nine amino acid sequence important for its degradation. Consistent with a causative role of AFF3 variants, the mutated AFF3 proteins show reduced clearance. Ten affected individuals were identified, and present with a recognizable pattern of anomalies, which we named KINSSHIP syndrome (KI for horseshoe KIdney, NS for Nievergelt/Savarirayan type of mesomelic dysplasia, S for Seizures, H for Hypertrichosis, I for Intellectual disability and P for Pulmonary involvement), partially overlapping the AFF4 associated CHOPS syndrome. An eleventh individual with a microdeletion encompassing only the transactivation domain and degron motif of AFF3 exhibited overlapping clinical features. A zebrafish overexpression model that shows body axis anomalies provides further support for the pathological effect of increased amount of AFF3 protein.\n\nWhereas homozygous Aff3 knockout mice display skeletal anomalies, kidney defects, brain malformation and neurological anomalies, knock-in animals modeling the microdeletion and the missense variants identified in affected individuals presented with lower mesomelic limb deformities and early lethality, respectively.\n\nTranscriptome analyses as well as the partial phenotypic overlap of syndromes associated with AFF3 and AFF4 variants suggest that ALF transcription factors are not redundant in contrast to what was previously suggested

genetics↗

bioRxiv2019

Tracing Autism Traits in Large Multiplex Families to Identify Endophenotypes of the Broader Autism Phenotype

Families comprising many individuals with Autism Spectrum Disorder (ASD) may carry a dominant predisposing mutation. Our aim was to use rigorous phenotyping of the Broader Autism Phenotype (BAP) in large multiplex ASD families to identify endophenotypes of the BAP for future genetic studies. We evaluated ASD/BAP features using standardised tests and a semi-structured interview to assess social, intellectual, executive and adaptive functioning in 109 individuals, including two large multiplex families (Family A: 30; Family B: 34) and an independent sample of small families (n=45). Our protocol identified four psychological endophenotypes of the BAP that were evident in both samples, and showed high sensitivity (97%) and specificity (82%) for individuals classified with the BAP. The patterns of inheritance of these endophenotypes varied in the two large families, supporting their utility for identifying genes in autism.

neuroscience↗