Biology subjects

Hanson, E.

Publications and source records attributed to Hanson, E..

7 recordsLinked to original sources

bioRxiv2025

Population Genomics of P. miniata along the Pacific Coastline Reveal Subtly Diverging Genomics Along an Extensive Range Gap

Many marine species exhibit range gaps, patchy distributions, or genetic disjunctions throughout their ranges. These discontinuities can result from various interacting mechanisms, though directly linking ecological and historical factors to observed distributions or genetic disjunctions often proves challenging. Intriguingly, substantial research has demonstrated that these spatial and genetic discontinuities frequently occur in species with long-lived planktonic larvae, which possess the capacity for extensive oceanic dispersal. This study investigates the population genetics of one such species, the bat star Patiria miniata. Despite its long-lived planktonic larval stage of six to ten weeks, P. miniata maintains both a range gap and a, geographically separate, strong genetic disjunction throughout its distribution from Alaska to Baja California. Utilizing low-coverage whole-genome sequencing of over 200 individuals collected throughout P. miniatas range between the early 2000s and 2023, we corroborate previous findings of a significant genetic disjunction across Queen Charlotte Sound, north of Vancouver Island. Additionally, we present new evidence of strong divergence at several genomic loci across an extensive range gap in Washington and Oregon, despite subtle genetic population structure at most loci here. Such differences may reflect more recent ecological or oceanographic barriers, rather than historical processes. Our results demonstrate that while marine invertebrate populations may appear panmictic based on genome-wide metrics of population structure alone, strong local selection for specific gene segments may be maintained in some populations. This research contributes to our understanding of the complex interplay between dispersal potential and local adaptation in marine ecosystems and highlights the importance of considering both genetic structure and finer-scale adaptation in coastal marine populations.

evolutionary biology↗

bioRxiv2024

Elevated plasma pTau181 in a specialty neuropsychiatric clinic is associated with opioid use and guides medication titration on a clinically relevant short-time scale

A combinatorial explosion of agents that delay neurodegeneration in animal models has created a crisis of abundance in human applications with too many combinations to try when time is short. Plasma biomarkers of premature neuronal aging, the amyloid-tau-neurodegeneration (ATN) profile, may provide a tool to rapidly optimize treatment in single-patient trials. We retrospectively analyzed plasma ATN profiles in patients with extensive neuropsychiatric polypharmacy and premature neuronal aging. ATN profiles were based on the biomarkers amyloid-{beta} ratio, phosphorylated Tau 181 (pTau181), and neurofilament light chain (NfL). We investigated whether ATN profile biomarkers were associated with age, gender, metabolic syndrome markers, and medication use. Two case reports additionally provide examples of the application of ATN profiles in clinical settings. We found that in 80 patients with ATN profiles and complete clinical phenotypes, pTau181 was elevated in 31 (38.75%), amyloid-{beta} ratio was below normal ranges in 11 (13.75%), and NfL was elevated in three (3.75%). The biomarkers correlated with age, as expected. Opioid use was significantly associated with pTau181 (p=0.004) and NfL (p=0.002), also after Bonferroni correction (both p <0.05), but not with amyloid-{beta} ratio. No other medications were associated with the biomarkers. In conclusion, identifying the overlaps between complex behavioral phenotypes (pain and cognition), plasma endophenotypes (ATN profile), and medication-targeted components of age-related pathophysiology is now a technical problem rather than theoretical speculation. Rapid progress in single-patient trials for treatment optimization will require funding to promote using repurposed generic treatments, educate patients and providers regarding optimization principles, and continue developing sensitive biomarkers.

pharmacology and toxicology↗

bioRxiv2021

Probabilistic Genotyping of Single Cell Replicates from Complex DNA Mixtures Recovers Higher Contributor LRs than Standard Analysis

DNA mixtures are a common source of crime scene evidence and are often one of the more difficult sources of biological evidence to interpret. With the implementation of probabilistic genotyping (PG), mixture analysis has been revolutionized allowing previously unresolvable mixed profiles to be analyzed and probative genotype information from contributors to be recovered. However, due to allele overlap, artifacts, or low-level minor contributors, genotype information loss inevitably occurs. In order to reduce the potential loss of significant DNA information from donors in complex mixtures, an alternative approach is to physically separate individual cells from mixtures prior to performing DNA typing thus obtaining single source profiles from contributors. In the present work, a simplified micromanipulation technique combined with enhanced single-cell DNA typing was used to collect one or few cells, referred to as direct single-cell subsampling (DSCS). Using this approach, single and 2-cell subsamples were collected from 2-6 person mixtures. Single-cell subsamples resulted in single source DNA profiles while the 2-cell subsamples returned either single source DNA profiles or new mini-mixtures that are less complex than the original mixture due to the presence of fewer contributors. PG (STRmix) was implemented, after appropriate validation, to analyze the original bulk mixtures, single source cell subsamples, and the 2-cell mini mixture subsamples from the original 2-6-person mixtures. PG further allowed replicate analysis to be employed which, in many instances, resulted in a significant gain of genotype information such that the returned donor likelihood ratios (LRs) were comparable to that seen in their single source reference profiles (i.e., the reciprocal of their random match probabilities). In every mixture, the DSCS approach gave improved results for each donor compared to standard bulk mixture analysis. With the 5- and 6- person complex mixtures, DSCS recovered highly probative LRs (> 1020) from donors that had returned non-probative LRs (<103) by standard methods.

genetics↗

bioRxiv2021

ETV2 primes hematoendothelial gene enhancers prior to hematoendothelial fate commitment

The lineage-determining transcription factor ETV2 is necessary and sufficient for hematoendothelial fate commitment. We investigated how ETV2-driven gene regulatory networks promote hematoendothelial fate commitment. We resolved the sequential determination steps of hematoendothelial versus cardiac differentiation from mouse embryonic stem cells. Etv2 was strongly induced and bound to the enhancers of hematoendothelial genes in a common cardiomyocyte-hematoendothelial mesoderm progenitor. However, only Etv2 itself and Tal1, not other ETV2-bound genes, were induced. Despite ETV2 genomic binding and Etv2 and Tal1 expression, cardiomyogenic fate potential was maintained. A second wave of ETV2-bound target genes was up-regulated during the transition from the common cardiomyocyte-hematoendothelial progenitor to the committed hematoendothelial population. A third wave of ETV-bound genes were subsequently expressed in the committed hematoendothelial population for sub-lineage differentiation. The shift from ETV2 binding to productive transcription, not ETV2 binding to target gene enhancers, drove hematoendothelial fate commitment. This work identifies mechanistic phases of ETV2-dependent gene expression that distinguish hematoendothelial specification, commitment, and differentiation. HIGHLIGHTSO_LIThe hematoendothelial master TF ETV2 is expressed in a multipotent mesoderm progenitor. C_LIO_LIETV2 binds to target genes in the mesoderm progenitor without target gene activation. C_LIO_LIETV2 binding in the mesoderm progenitor does not diminish alternative cardiac fate potential. C_LIO_LIETV2-bound target genes are activated upon hematoendothelial fate commitment. C_LI GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=110 SRC="FIGDIR/small/449981v1_ufig1.gif" ALT="Figure 1"> View larger version (16K): org.highwire.dtl.DTLVardef@371c3dorg.highwire.dtl.DTLVardef@1ee8e7org.highwire.dtl.DTLVardef@14ca731org.highwire.dtl.DTLVardef@1748ff7_HPS_FORMAT_FIGEXP M_FIG C_FIG

developmental biology↗

bioRxiv2020

Identification of a Novel Susceptibility Marker for SARS-CoV-2 Infection in Human Subjects and Risk Mitigation with a Clinically Approved JAK Inhibitor in Human/Mouse Cells

Coronavirus disease (COVID-19), caused by SARS-CoV-2, has affected over 65 million individuals and killed over 1.5 million persons (December 8, 2020; www.who.int)1. While fatality rates are higher among the elderly and those with underlying comorbidities2, host factors that promote susceptibility to SARS-CoV-2 infection and severe disease are poorly understood. Although individuals with certain autoimmune/inflammatory disorders show increased susceptibility to viral infections, there is incomplete knowledge of SARS-CoV-2 susceptibility in these diseases.3-7 We report that the autoimmune PTPN2 risk variant rs1893217 promotes expression of the SARS-CoV-2 receptor, ACE2, and increases cellular entry mediated by SARS-CoV-2 spike protein. Elevated ACE2 expression and viral entry were mediated by increased JAK-STAT signalling, and were reversed by the JAK inhibitor, tofacitinib. Collectively, our findings uncover a novel risk biomarker for increased expression of the SARS-CoV-2 receptor and viral entry, and identify a clinically approved therapeutic agent to mitigate this risk.

microbiology↗

bioRxiv2018

Hedgehog signaling controls progenitor differentiation timing during heart development

Heterochrony, defined as differences in the timing of developmental processes, impacts organ development, homeostasis, and regeneration. The molecular basis of heterochrony in mammalian tissues is poorly understood. We report that Hedgehog signaling activates a heterochronic pathway that controls differentiation timing in multiple lineages. A differentiation trajectory from second heart field cardiac progenitors to first heart field cardiomyocytes was identified by single-cell transcriptional profiling in mouse embryos. A survey of developmental signaling pathways revealed specific enrichment for Hedgehog signaling targets in cardiac progenitors. Removal of Hh signaling caused loss of progenitor and precocious cardiomyocyte differentiation gene expression in the second heart field in vivo. Introduction of active Hh signaling to mESC-derived progenitors, modelled by transient expression of the Hh-dependent transcription factor GLI1, delayed differentiation in cardiac and neural lineages in vitro. A shared GLI1-dependent network in both cardiac and neural progenitors was enriched with FOX family transcription factors. FOXF1, a GLI1 target, was sufficient to delay onset of the cardiomyocyte differentiation program in progenitors, by epigenetic repression of cardiomyocyte-specific enhancers. Removal of active Hh signaling or Foxf1 expression from second heart field progenitors caused precocious cardiac differentiation in vivo, establishing a mechanism for resultant Congenital Heart Disease. Together, these studies suggest that Hedgehog signaling directly activates a gene regulatory network that functions as a heterochronic switch to control differentiation timing across developmental lineages.

developmental biology↗

bioRxiv2018

Messenger RNA biomarker signatures for forensic body fluid identification revealed by targeted RNA sequencing

The recovery of a DNA profile from the perpetrator or victim in criminal investigations can provide valuable source level information for investigators. However, a DNA profile does not reveal the circumstances by which biological material was transferred. Some contextual information can be obtained by a determination of the tissue or fluid source of origin of the biological material as it is potentially indicative of some behavioral activity on behalf of the individual that resulted in its transfer from the body. Here, we sought to improve upon established RNA based methods for body fluid identification by developing a targeted multiplexed next generation mRNA sequencing assay comprising a panel of approximately equal sized gene amplicons. The multiplexed biomarker panel includes several highly specific gene targets with the necessary specificity to definitively identify most forensically relevant biological fluids and tissues (blood, semen, saliva, vaginal secretions, menstrual blood and skin). In developing the biomarker panel we evaluated 66 gene targets, with a progressive iteration of testing target combinations that exhibited optimal sensitivity and specificity using a training set of forensically relevant body fluid samples. The current assay comprises 33 targets: 6 blood, 6 semen, 6 saliva, 4 vaginal secretions, 5 menstrual blood and 6 skin markers. We demonstrate the sensitivity and specificity of the assay and the ability to identify body fluids in single source and admixed stains. A 16 sample blind test was carried out by one lab with samples provided by the other participating lab. The blinded lab correctly identified the body fluids present in 15 of the samples with the major component identified in the 16th. Various classification methods are being investigated to permit inference of the body fluid/tissue in dried physiological stains. These include the percentage of reads in a sample that are due to each of the 6 tissues/body fluids tested and inter-sample differential gene expression revealed by agglomerative hierarchical clustering.

genomics↗