Biology subjects

Corcoran, M.

Publications and source records attributed to Corcoran, M..

11 recordsLinked to original sources

bioRxiv2026

Processing strategies for improving cortical thickness correspondence between low-field and high-field MRI in young people

Portable low-field MRI systems are a promising complement to conventional high-field systems, enabling broader access to MRI. However, correspondence in cortical thickness estimates between low- and high-field MRI in young people remains limited despite its importance for neurodevelopment and psychopathology. To evaluate how multiple low-field image processing approaches improve cortical thickness correspondence with high-field MRI in a large sample of young individuals, we collected T1-weighted (T1w) and T2-weighted (T2w) data using both low-field (64mT) and high-field (3T) MRI within one week of each other from a community sample of young people. We applied deep learning-based super-resolution methods (SynthSR v1 and SynthSR v2) followed by recon-all, or other reconstruction methods (recon-all-clinical and recon-any), to low-field data acquired across multiple sequences (T1w and T2w) and orientations (axial, coronal, sagittal, and multi-orientation average), with and without resampling and/or co-registration. We assessed global, lobar, and regional cortical thickness correspondence with 3T MRI measures based on the Desikan-Killiany atlas using Pearson and intraclass correlations. We compared pipelines using Steiger's Z-tests and Fisher's Z-tests. A total of 150 individuals (mean age, 18.63+/-5.07; 80 female) were included. We observed the highest global correspondence with recon-all-clinical applied to coronal T1w images (r=0.40, pFDR=3.02e-05), which significantly exceeded the best global correspondence in our previous study (Fisher's Z=1.99, p=0.047). At the lobar and regional levels, multi-orientation T2w images processed with recon-all-clinical showed the highest correspondence across the greatest number of regions (4/12 lobes; 13/68 regions). This pipeline showed the highest correspondence and largest improvements relative to recon-all alone in frontal, cingulate, and temporal regions, including the right pars triangularis (r=0.52, pFDR=4.78e-11; Steiger's Z=4.78, pFDR=4.25e-06), right caudal anterior cingulate (r=0.47, pFDR=3.83e-09; Steiger's Z=5.46, pFDR=1.32e-07), and left parahippocampal regions (r=0.58, pFDR=2.98e-14; Steiger's Z=5.17, pFDR=6.01e-07). We observed significantly improved cortical thickness correspondence in low-field MRI in young people relative to recon-all alone and our prior work. The recon-all-clinical pipeline yielded moderate correspondence, particularly in frontal, cingulate, and temporal regions. Our results demonstrate a methodological improvement in the use of low-field MRI for assessing cortical thickness in young people, providing a quantitative benchmark for current tools in this area.

neuroscience↗

bioRxiv2025

Using a wearable EEG device to examine age trends in sleep macro- and micro-architecture across adolescence

Adolescence is a period of distinct maturational changes in sleep physiology. Age-related trends in sleep physiology have been captured using laboratory-based polysomnography, a method limited by logistical burden and high cost. We tested the ability of the accessible Dreem3 sleep EEG headband to replicate established age effects in sleep physiology from late childhood through early adulthood. Typically developing youth (N=100, 9-26 years) completed 3-4 consecutive nights of at-home sleep recording. We estimated age-related trends across eight macro-architecture and 15 micro-architecture variables with known age effects, and conducted exploratory analyses of 24 additional variables. Dreem replicated established age trends, including increases in non-rapid eye movement (NREM) stage 2, and decreases in N3, time in bed, NREM delta and theta power with increasing age. Exploratory analysis revealed age effects in twelve variables, including decreases in spindle activity with increasing age. Sleep EEG wearables offer an accessible way to characterize sleep physiology development.

neuroscience↗

bioRxiv2025

HIV Env trimers elicit NHP apex cross-neutralizing antibodies mimicking human bNAbs

As a chronically replicating virus, HIV has evolved extreme sequence variability and effective shielding of functionally constrained spike protein determinants by host-derived glycans. Broadly neutralizing antibodies (bNAbs), though rare, can be isolated from people living with HIV, revealing conserved Env sites as key targets for vaccine development. One such target is the apex of the envelope glycoprotein (Env) spike. Here, we identified a vaccination strategy using heterologous HIV Env trimers covalently coupled to liposomes for multivalent display that resulted in the elicitation of cross-neutralizing HIV serum antibody responses in all immunized non-human primates (NHPs). Critically, we isolated a set of monoclonal antibodies (mAbs) that cross-neutralized multiple divergent HIV clinical isolates. High-resolution cryoEM structural analysis of mAbs from three different NHPs demonstrated that they targeted the Env trimer apex in a manner remarkably similar to that of the human infection-elicited, apex-directed bNAb PG9, representing a substantial advance in HIV vaccine development.

immunology↗

bioRxiv2025

Human IGH germline gene diversity and allele frequencies in 2486 individuals from 25 global populations delineated by ultra-high throughput genotyping

The extraordinary diversity of human immunoglobulin (IG) genes underpins effective antibody responses, yet the full scope and functional impact of germline-encoded IG variation across populations is largely unknown. Here, we present ImmuneDiscover, an ultra-high-throughput sequencing platform enabling individualized IG genotyping from nanogram-scale DNA and simultaneous analysis of over 1,000 individuals. Using ImmuneDiscover, we generated high-resolution IG genotypes for 2,486 individuals from the 1000 Genomes Project, spanning diverse ancestries, and built KIARVA, an open-access atlas of IG gene variation. Cross-validation with SNP data from over one million genomes confirmed the accuracy and novelty of discovered alleles. Our analysis reveals striking population-specific patterns, including a multigene IGHD segment deletion found in up to 30% of East Asian individuals, and haplotypic differences linked to disease-associated loci. These findings illuminate the evolutionary forces shaping IG diversity and provide a foundational resource for investigating the immunogenetic basis of pathogen susceptibility and vaccine responsiveness worldwide.

immunology↗

bioRxiv2025

Isolation of genetically diverse influenza antibodies highlights the role of IG germline gene variation and informs the design of population-comprehensive vaccine strategies

The regular emergence of influenza strains with pandemic potential creates a strong incentive to develop vaccines that stimulate protective responses across all human populations. A critical consideration is how variation in the human immunoglobulin (IG) loci influences B cell recognition of viral epitopes and elicitation of neutralizing antibodies. Here, we applied personalized IG germline genotyping and high-throughput sequencing of paired antibody chains from influenza A virus hemagglutinin (HA)-binding B cells to demonstrate that the response to HA is highly individual. We show that a germline-encoded polymorphism in IGHV2-70 alters the functionality of the LPAF-a class of neutralizing antibodies, and we describe HA stem-targeting broadly neutralizing antibodies (bNAbs) that use germline IGHV genes other than the population-restricted IGHV genes used by many previously known stem bNAbs. Our results demonstrate that the approach used here can be used to discover and avert population vulnerabilities arising from IG gene variation when designing HA-based influenza vaccines aimed for the global human population.

immunology↗

bioRxiv2025

Functional, Immunogenetic, and Structural Convergence in Influenza Immunity between Humans and Macaques

Human B cell immunity to the influenza hemagglutinin (HA) stem region, a universal influenza vaccine target, is often stereotyped and immunogenetically restricted, posing challenges for study outside humans. Here, we show that macaques vaccinated with a HA stem immunogen elicit human-like public B cell lineages targeting two major conserved sites of vulnerability, the central stem and anchor epitopes. Central stem antibodies were predominantly derived from VH1-138, the macaque homolog of human VH1-69, a VH-gene preferentially used in human central stem broadly neutralizing antibodies (bnAbs). Similarly, macaques produced anchor bnAbs with the human-like NWP motif. Both bnAb lineages were functionally and structurally analogous to their human counterparts, with recognition mediated largely by germline-encoded motifs. Thus the macaque immunoglobulin repertoire supports human-like public bnAb responses to influenza HA. Moreover, this underscores the utility of homologous germline-encoded immunity, suggesting that immune repertoires of macaques and humans may have been similarly shaped during evolution. HIGHLIGHTS[bullet] Functional human-like public antibody lineages can be elicited to HA stem supersites in macaques. [bullet]Macaque central stem bnAbs are predominantly derived from VH1-138, a VH-gene homologous to human VH1-69. [bullet]The human-like CDR L3 NWP anchor epitope-targeting lineage can be elicited in macaques. [bullet]Central stem and anchor bnAbs from humans and macaques engage their respective epitopes with atomic level similarity.

immunology↗

bioRxiv2025

Detection of PCR chimeras in adaptive immune receptor repertoire sequencing using hidden Markov models

Adaptive Immune Receptor Repertoire sequencing (AIRR-seq) has emerged as a central approach for studying T cell and B cell receptor populations, and is now an important component of studies of autoimmunity, immune responses to pathogens, vaccines, allergens, and cancers, and for antibody discovery. When amplifying the rearranged V(D)J genes encoding antigen receptors, each cycle of the Polymerase Chain Reaction (PCR) can produce spurious "chimeric" hybrids of two or more different template sequences. While the generation of chimeras is well understood in bacterial and viral sequencing, and there are dedicated tools to detect such sequences in bacterial and viral datasets, this is not the case for AIRR-seq. Further, the process that results in immune receptor sequences has domain-specific challenges, such as somatic hypermutation (SHM), and domain-specific opportunities, such as relatively well-known germline gene "reference" sequences. Here we describe CHMMAIRRa, a hidden Markov model for detecting chimeric sequences in AIRR-seq data, that specifically models SHM and incorporates germline reference sequences. We use simulations to characterize the performance of CHMMAIRRa and compare it to existing methods from other domains, we test the effect of PCR conditions on chimerism using IgM libraries generated in this study, and we apply CHMMAIRRa to four published AIRR-seq datasets to show the extent and impact of artifactual chimerism.

bioinformatics↗

bioRxiv2023

AIRR-C Human IG Reference Sets: curated sets of immunoglobulin heavy and light chain germline genes

Analysis of an individuals immunoglobulin (IG) gene repertoire requires the use of high-quality germline gene Reference Sets. The Adaptive Immune Receptor Repertoire-Community (AIRR-C) Reference Sets have been developed to include only human IG heavy and light chain alleles that have been confirmed by evidence from multiple high-quality sources. By including only those alleles with a high level of support, including some new sequences that currently lack official names, AIRR-seq analysis will have greater accuracy and studies of the evolution of immunoglobulin genes, their allelic variants and the expressed immune repertoire will be facilitated. Although containing less than half the previously recognised IG alleles (e.g. just 198 IGHV sequences), the Reference Sets eliminated erroneous calls and provided excellent coverage when tested on a set of repertoires from 99 individuals comprising over 4 million V(D)J rearrangements. To improve AIRR-seq analysis, some alleles have been extended to deal with short 3 or 5 truncations that can lead them to be overlooked by alignment utilities. To avoid other challenges for analysis programs, exact paralogs (e.g. IGHV1-69*01 and IGHV1-69D*01) are only represented once in each set, though alternative sequence names are noted in accompanying metadata. The Reference Sets also include novel alleles: 8 IGHV alleles, 2 IGKV alleles and 5 IGLV alleles. The version-tracked AIRR-C Reference Sets are freely available at the OGRDB website (https://ogrdb.airr-community.org/germline_sets/Human) and will be regularly updated to include newly-observed and previously-reported sequences that can be confirmed by new high-quality data.

genomics↗

bioRxiv2022

Archaic humans have contributed to large-scale variation in modern human T cell receptor genes

The human T cell receptor (TCR) genes are critical for mediating immune responses to pathogens, tumors and regulating self-antigen recognition. A detailed analysis and validation of expressed TCR alpha, beta, gamma, and delta genes in 45 donors from 4 human populations: African, East Asian, South Asian, and European, revealed a total of 175 novel TCR variable and junctional alleles. The majority of novel alleles contained coding changes and were present at widely differing frequencies in the populations, a finding confirmed using DNA samples and sequences from the 1000 Genomes Project. Importantly, we identified three Neanderthal-derived, introgressed TCR regions, including a highly divergent novel TRGV4 variant, present in all archaic assemblies, that was frequent in all modern Eurasian population groups. Our results demonstrate significant variation in TCR genes at both individual and population levels, providing a strong incentive for including allelic variation in studies of TCR function in human biology.

immunology↗

bioRxiv2022

A BALB/c IGHV Reference Set, defined by haplotype analysis of long-read VDJ-C sequences from F1 (BALB/c / C57BL/6) mice

The immunoglobulin genes of inbred mouse strains that are commonly used in models of antibody-mediated human diseases are poorly characterized. This compromises data analysis. To infer the immunoglobulin genes of BALB/c mice, we used long-read SMRT sequencing to amplify VDJ-C sequences from F1 (BALB/c x C57BL/6) hybrid animals. Previously unreported strain variations were identified in the Ighm and Ighg2b genes, and analysis of VDJ rearrangements led to the inference of 278 germline IGHV alleles. 169 alleles are not present in the C57BL/6 genome reference sequence. To establish a set of expressed BALB/c IGHV germline gene sequences, we computationally retrieved IGHV haplotypes from the IgM dataset. Haplotyping led to the confirmation of 162 BALB/c IGHV gene sequences. A musIGHV398 pseudogene variant also appears to be present in the BALB/cByJ substrain, while a functional musIGHV398 gene is highly expressed in the BALB/cJ substrain. Only four of the BALB/c alleles were also observed in the C57BL/6 haplotype. The full set of inferred BALB/c sequences has been used to establish a BALB/c IGHV reference set, hosted at https://ogrdb.airr-community.org. We assessed whether assemblies from the Mouse Genome Project (MGP) are suitable for the determination of the genes of the IGH loci. Only 37 (43.5%) of the 85 confirmed IMGT-named BALB/c IGHV and 33 (42.9%) of the 77 confirmed non-IMGT IGHV were found in a search of the MGP BALB/cJ genome assembly. This suggests that Adaptive Immune Receptor Repertoire sequencing (AIRR-Seq) data, but not currently-available genome assemblies, are suited to the documentation of germline IGHV genes.

immunology↗

bioRxiv2020

An alpaca nanobody neutralizes SARS-CoV-2 by blocking receptor interaction

SARS-CoV-2 is the etiologic agent of COVID-19, currently causing a devastating pandemic for which pharmacological interventions are urgently needed. The virus enters host cells through an interaction between the spike glycoprotein and the angiotensin converting enzyme 2 (ACE2) receptor. Directly preventing this interaction presents an attractive possibility for suppressing SARS-CoV-2 replication. Here we report the isolation and characterization of an alpaca-derived single domain antibody fragment, Ty1, that specifically targets the receptor binding domain (RBD) of the SARS-CoV-2 spike, directly preventing ACE2 engagement. The nanobody binds with high affinity in the low nM range to the RBD, occluding ACE2. A cryo-electron microscopy structure of the bound complex at 2.9 Å resolution reveals that Ty1 binds to an epitope on the RBD accessible in both the ‘up’ and ‘down’ conformations and that Ty1 sterically hinders RBD-ACE2 binding. This 12.8 kDa nanobody does not need an Fc domain to neutralize SARS-CoV-2, and can be expressed in high quantities in bacteria, presenting opportunities for manufacturing at scale. Ty1 is therefore an excellent candidate as an intervention against COVID-19.Competing Interest StatementThe authors have declared no competing interest.View Full Text

microbiology↗