Biology subjects

English, J.

Publications and source records attributed to English, J..

9 recordsLinked to original sources

bioRxiv2026

Distinct activation mechanisms underlie ligand efficacy at a GPCR

Ligands that bind to the same G protein-coupled receptor (GPCR) can produce widely different levels of signaling. These differences in efficacy are central to pharmacology, yet how a receptor sequence determines signaling level remains incompletely understood. Here we develop a deep mutational pharmacology approach to measure how each residue in the -opioid receptor (OR) shapes responses to 15 opioids, yielding ~400,000 measurements of variant effects on signaling and expression, including full concentration-response series for three agonists. Mutational effects on potency are strongest near the orthosteric pocket, whereas effects on efficacy extend through the transmembrane core and intracellular face. Ligands share many functional determinants, but sensitivity to mutation differs with efficacy. As efficacy decreases, the residues required for signaling shift from the binding pocket towards the intracellular face; partial agonists therefore depend on residues that are dispensable for full agonists. Mutations can broadly increase receptor responses, allowing antagonists such as naloxone to produce signaling comparable to a full agonist and increasing the efficacy of partial agonist ligands. Combined mutations can also reorder the relative efficacies of ligands, showing that sequence changes reshape pharmacological differences rather than simply increasing or decreasing all responses together. These findings support a model in which ligands of different efficacy activate the receptor through distinct allosteric mechanisms which are determined by residues distributed across the receptor. Mapping these contributions across diverse ligands with deep mutational pharmacology provides a way to understand how one receptor converts molecular recognition into a range of signaling outputs.

biophysics↗

bioRxiv2026

keju: powerful and accurate inference in Massively Parallel Reporter Assays

Massively Parallel Reporter Assays (MPRAs) interrogate the regulatory function of thousands of designed genetic elements in parallel through linked DNA and RNA readouts using an engineered construct and attached minimal reporter. Given the complexity of MPRA experimental designs, several different sources of uncertainty complicate inference. We show that previous methods do not account for substantial differences in uncertainty levels between the DNA and RNA counts and between batches. Accordingly, we present keju, a hierarchical statistical model that estimates candidate transcription rate, differential activity between conditions, and effects from promoter composition for MPRA data. To maximize statistical power and improve false positive rate control, keju conditions on the DNA counts to model batch-specific and modality-specific uncertainty in the RNA counts. keju shows vastly improved sensitivity (59%) in simulations compared to previous methods (31% for MPRAnalyze and 9% for BCalm), and also has lower, more robust false positive rates, calling only 6.8% of unlabeled negative controls significant in real data (compared to 34% for MPRAnalyze and 12% for BCalm).

bioinformatics↗

bioRxiv2025

Distinct Synaptic Mechanisms Drive NRXN1 Variant-Mediated Pathogenesis in iPSC-Derived Neuronal Models of Autism and Schizophrenia

Copy number deletions in the 2p16.3/NRXN1 locus confer genome wide risk for autism spectrum disorder (ASD) and schizophrenia (SCZ). Prior work demonstrated that heterozygous NRXN1 deletions decreases synaptic strength and neurotransmitter release probability in human-iPSC derived cortical glutamatergic induced neurons and this synaptic phenotype is replicated in SCZ patient iPSCs with varying NRXN1 genomic deletions. What is unknown, however, is whether similar synaptic impairment exists in ASD patients carrying NRXN1 deletions. Answering this question is important to determine whether all NRXN1 deletion carriers should be treated similarly or individually, based on their genetic backgrounds and deletion breakpoints. Here, using previously uncharacterized ASD patient iPSC lines, we show that ASD-NRXN1 deletions impact cortical synaptic function and plasticity in unique ways compared to SCZ-NRXN1 deletions. Specifically, at a single neuronal level, ASD-NRXN1 deletions alter basal spontaneous synaptic transmission by selectively enhancing excitatory synaptic signaling with no changes at inhibitory synapses while SCZ-NRXN1 deletions reduce both excitatory and inhibitory synaptic transmission. At the neuronal network level, there exists enhanced transmission probability and irregular firing patterns in ASD-NRXN1 deletions. Such changes at the synaptic and network level connectivity patterns influence a critical form of developmental cortical plasticity, synaptic scaling, as ASD-NRXN1 deletions uniquely fail to upscale their synaptic strength in response to chronic neuronal silencing. Together, these findings highlight the disorder-specific consequences of NRXN1 deletions on synaptic function and connectivity, offering mechanistic insights with implications for therapeutic targeting and refinement strategies for NRXN1-associated synaptopathies. HighlightsO_LINovel ASD patient-iPSC-derived E-I culture model to investigate pathogenic NRXN1 deletions on cortical synaptic function and plasticity C_LIO_LIASD-NRXN1 deletions enhance basal synaptic transmission by specifically increasing excitatory neurotransmitter release, opposite of SCZ-NRXN1 deletions C_LIO_LISynaptic scaling homeostasis is impaired in ASD-NRXN1 deletions C_LIO_LISpike train cross-correlation analysis reveals increased transmission probability and irregular firing patterns in ASD-NRXN1 deletions C_LI

neuroscience↗

bioRxiv2023

A suite of engineered mice for interrogating psychedelic drug actions

Psychedelic drugs like lysergic acid diethylamide (LSD) and psilocybin have emerged as potentially transformative therapeutics for many neuropsychiatric diseases, including depression, anxiety, post-traumatic stress disorder, migraine, and cluster headaches. LSD and psilocybin exert their psychedelic effects via activation of the 5-hydroxytryptamine 2A receptor (HTR2A). Here we provide a suite of engineered mice useful for clarifying the role of HTR2A and HTR2A-expressing neurons in psychedelic drug actions. We first generated Htr2a-EGFP-CT-IRES-CreERT2 mice (CT:C-terminus) to independently identify both HTR2A-EGFP-CT receptors and HTR2A-containing cells thereby providing a detailed anatomical map of HTR2A and identifying cell types that express HTR2A. We also generated a humanized Htr2a mouse line and an additional constitutive Htr2A-Cre mouse line. Psychedelics induced a variety of known behavioral changes in our mice validating their utility for behavioral studies. Finally, electrophysiology studies revealed that extracellular 5-HT elicited a HTR2A-mediated robust increase in firing of genetically-identified pyramidal neurons--consistent with a plasma membrane localization and mode of action. These mouse lines represent invaluable tools for elucidating the molecular, cellular, pharmacological, physiological, behavioral, and other actions of psychedelic drugs in vivo.

neuroscience↗

bioRxiv2022

Deep learning for histopathological subtyping and grading of lung adenocarcinoma

The histopathological distinction of lung adenocarcinoma (LADC) subtypes is subject to high inter-observer variability, which can compromise the optimal assessment of the patient prognosis. Therefore, this study developed convolutional neural networks (CNNs) capable of distinguishing LADC subtypes and predicting disease-specific survival, according to the LADC tumour grades established recently by the International Association for the Study of Lung Cancer pathology committee. Consensus LADC ground truth histopathological images were obtained from seventeen expert pulmonary pathologists and one pathologist in training. Two deep learning models (AI-1 and AI-2) were trained with EfficientNet b3 architecture to predict eight different LADC classes (lepidic, acinar, papillary, micropapillary, solid, invasive mucinous adenocarcinoma, other carcinoma types, and no carcinoma cells). Furthermore, the trained models were tested on an independent cohort of 133 patients. The models achieved high precision, recall, and F1-scores exceeding 0.90 for most of the LADC classes. Clear stratification of the three LADC grades was reached in predicting the disease-specific survival by the two models. Moreover, the grading prediction of one of the trained models was more accurate than those of 14 out of 15 pulmonary pathologists involved in the study (p=0.0003). Both trained models showed high stability in the segmentation of each pair of predicted grades with low variation in the hazard ratio across 200 bootstrapped samples. These findings indicate that the trained CNNs improve the diagnostic accuracy of the pathologist, standardise LADC subtype recognition, and refine LADC grade assessment. Thus, the trained models are promising tools that may assist in the routine evaluation of LADC subtypes and grades in clinical practice.

pathology↗

bioRxiv2022

Increased Relative Biological Effectiveness of Orthovoltage X-rays Compared to γ-rays in Preclinical Irradiation

PurposeRadionuclide irradiators (137Cs and 60Co) are commonly used in preclinical studies ranging from cancer therapy to stem cell biology. There are institutional initiatives to replace radionuclide sources with lower-energy X-ray sources amidst concerns of radiological terrorism. As researchers transition, there are questions whether the biological effects of {gamma}-rays may be recapitulated with orthovoltage X-rays, since different energy may cause different biological effects. We, therefore, sought to compare the effects of orthovoltage X-rays and 137Cs {gamma}-rays using mouse models of acute radiation syndrome. Experimental Design137Cs {gamma}-rays were compared with Orthovoltage X-rays, generated at 300 kVp, 10 mA with 1 mm Cu or Thoraeus filtration. We assessed 30-day overall survival following whole-body irradiation and calculated LD50 by logistic regression. Comparing equivalent doses delivered with different average energies ([E]), we assessed bone marrow, spleen, and intestinal histology and flow cytometry. ResultsThe LD50 doses are 6.7 Gy, 7.4 Gy and 8.1 Gy with 1 mm Cu filtered ([E]=120 keV), and Thoraeus filtered X-rays ([E]=160 keV), and 137Cs (E=662 keV), respectively. At constant dose, hematopoietic injury was most severe with 1 mm Cu filtered X-rays with the greatest reduction in bone marrow cellularity, stem and progenitor populations, and intestinal crypts and OLFM4+ intestinal stem cells. Thoraeus filtered X-rays provoked an intermediate phenotype, with 137Cs showing the least damage. ConclusionsOur study reveals a dichotomy between physical dose and biological effect relevant as researchers transition to orthovoltage X-rays. With decreasing energy, there is increasing hematopoietic and intestinal injury, necessitating dose-reduction to achieve comparable biological effects. Statement of Translational RelevanceRadiation is used in translational studies in fields ranging from hematopoiesis and stem cell biology to cancer radiotherapy, with 137Cs and 60Co radionuclide sources serving as the most common irradiators. Due to the threat of radiological terrorism using stolen radionuclides, there are institutional initiatives to replace these sources with orthovoltage X-ray irradiators. Yet, as shown in this study, the biological effects of radiation are highly dependent on radiation energy. Lower energy orthovoltage X-rays are absorbed differently than higher energy radionuclide {gamma}-rays, provoking more severe hematopoietic, immunologic, and gastrointestinal radiation injury. Thus, an identical physical dose delivered with beams of differing energy does not produce the same biologic effect. As researchers transition between these sources, it is critical that we appreciate that radiation doses are not interchangeable between them. Understanding the significance of physical dose delivered using different methods will allow us to contextualize past results with future studies.

pathology↗

bioRxiv2020

ADP-ribosylation of mitochondrial proteins is mediated by Neuralized-like protein 4 (NEURL4)

ADP-ribosylation is a reversible post-translational modification where an ADP-ribose moiety is covalently attached to amino acid side-chains of target proteins either as mono-ADP-ribose (MARylation or MAR) or poly-ADP-ribose chains (PARylation or PAR) by a class of enzymes called ADP-ribosyltransferases (ARTs). Although ADP-ribosylation is best known for its nuclear roles, ADP-ribosylation of extra nuclear proteins is increasingly recognized as a key regulatory strategy across cellular compartments. ADP-ribosylation of mitochondrial proteins, in particular, has been widely reported, even though the extent to which ADP-ribosylation of specific proteins regulates mitochondrial functions is unclear and the exact nature of mitochondrial ART enzymes is debated. Here, we have identified Neuralized-like protein 4 (NEURL4) as a mitochondrial ART enzyme and profiled the NEURL4-dependent ADP-ribosylome in mitochondrial extracts from Hela cells by LC-MS/MS, using isobaric tandem mass tag (TMT) labeling for relative quantification. Comparison of WT and NEURL4-KO cells generated by CRISPR/Cas9 genome editing revealed that most ART activity associated with mitochondria is lost in absence of NEURL4. Putative NEURL4 targets include numerous mitochondrial proteins previously shown to be ADP-ribosylated. In particular, we show that NEURL4 enzymatic activity is required for the regulation of mtDNA integrity via poly-ADP-ribosylation of mitochondrial specific Ligase III (mtLIG3), the rate-limiting enzyme for mitochondrial DNA (mtDNA) Base Excision Repair (BER). Collectively, our studies reveal that NEURL4 acts as the main mitochondrial ART enzyme under physiological conditions and provide novel insights in the regulation of mitochondria homeostasis through ADP-ribosylation.

cell biology↗

bioRxiv2020

Adolescent-onset and adult-onset schizophrenia: reduced ribosomal protein expression via mTOR signalling in patient-derived olfactory cells

Schizophrenia is a heterogeneous disorder associated with many genetic and environmental risk factors that could affect brain development. It is unknown whether adolescent-onset and adult-onset schizophrenia have similar aetiology. To address this we used discovery-based proteomics to find proteins differentially expressed in olfactory neurosphere-derived cells from adolescents with schizophrenia compared to age- and gender-matched healthy controls. Of 1638 proteins identified, 241 were differentially expressed in patient cells, with significant down-regulation of ribosomal and cytoskeletal proteins, and dysregulation of protein synthesis pathways. We then re-analysed our previous adult-onset proteomic data to compare directly with adolescent-onset protein expression. Schizophrenia-associated protein expression in adult-onset patients was remarkably similar to adolescent-onset patients. To increase sample size and power we combined the two datasets for a bioinformatic meta-analysis. Schizophrenia-associated protein expression indicated significant downregulation of the mTOR signalling pathway, which regulates protein synthesis, indicated by the reduced expression of all ribosomal proteins and other mTOR-dependent proteins: RPS6, VIM, LDHB and PPP2R1A. A protein-protein interaction network built from differentially expressed proteins in the combined dataset was significantly associated with schizophrenia-associated risk genes and with proteins regulating neural stem cell differentiation, cell adhesion and growth cones in the developing brain. This study demonstrates that despite the divergent age of onset, the proteomes of olfactory neural stem cells of adolescent- and adult-onset patients are remarkably similar. The dysregulated proteins in patient cells form a tightly interconnected protein-protein interaction network associated with mTOR signalling, protein translation, neurogenesis and axon growth - all key components of brain development.

neuroscience↗

bioRxiv2019

Contact sensitivity in paediatric patients with atopic dermatitis in Laos

BackgroundDermatological services in Laos, South East Asia are limited mainly to the capital and patch testing is currently not available, so no data exists regarding the common cutaneous allergens in this population.\n\nObjectivesThe aim of this study was to document common allergens in paediatric patients with atopic dermatitis attending the allergy clinic in the capital, Vientiane.\n\nPatients/Materials/MethodsFifty paediatric patients with atopic dermatitis were patch tested using TRUE Test(R) panels 1 to 3 (35 allergens). Readings were taken at Days 2 and 4.\n\nResultsTwenty-six positive patch tests were recorded on Day 4 in 15 children (30%). The most common allergens were: gold (18%), nickel (10%), formaldehyde (6%) and p-Phenylenediamine (6%). Other positive allergens were potassium dichromate (2%), cobalt dichloride (2%), Bronopol (2%), paraben mix (2%), fragrance mix 1 (2%) and neomycin (2%). The majority of the patients with positive reactions were female.\n\nConclusionsThis study represents the first documented patch test results in the Lao population. It is hoped that these findings will help clinicians to advise the families of children with atopic dermatitis on common allergens to avoid and inform future work on contact dermatitis in this population.

epidemiology↗