Biology subjects

Goodman, L.

Publications and source records attributed to Goodman, L..

8 recordsLinked to original sources

bioRxiv2026

Genomes of Betacoronavirus gravedinis from white-footed mice in New York City and a phylogenetically weighted model of its probable distribution in North America

Rodents are an important reservoir of zoonotic viruses and are ubiquitously present in densely populated urban areas. Betacoronaviruses in the Embecovirus lineage are well known to infect both humans and animals and have established rodent reservoirs. Here three Betacoronavirus gravedinis genomes were sequenced and characterized in white footed mice (Peromyscus leucopus, commonly white footed mice) collected in New York City, the second most populous city in North America. The genomes were distinct from mouse hepatitis virus (MHV), the prototype mouse betacoronavirus, and highly similar and identical in one case to previously characterized B. gravedinis sequences from white footed mice in Connecticut. Codon aware evolutionary models were used to identify specific sites under positive selection within the spike protein of B. gravedinis. A novel method was developed to predict the probable geographic distribution of the virus using publicly available data from the Global Biodiversity Information Facility to generate a weighted distribution map highlighting overlapping potential host ranges based on the evolutionary distance using a high resolution cytocrome B (CYTB) phylogeny of rodent species with potentially overlapping ranges. Our models predict three current hotspots of circulation in North America under different possible transmission regimes, and an additional fourth hotspot was predicted to arise in a warming future. This study highlights the continued need for biodiversity-informed surveillance of potential zoonotic pathogens in rodents.

microbiology↗

bioRxiv2026

Empty drops in scRNA-seq uncover the surprising prevalence of sequestered neuropeptide mRNA and pervasive sequencing artifacts

The empty drops in single-cell sequencing experiments are an underexplored resource. As such, they present a substrate to ask questions orthogonal to standard single-cell sequencing workflows, calibrate statistical models using simple internal controls, and detect technical outliers which would be otherwise challenging to distinguish from real biology. In this case study, we report a relatively simple procedure to detect sequencing artifacts and make recommendations to reduce the risk of erroneous quantifications. In addition, we report the surprising abundance and co-expression of mRNA coding for neuropeptide-related genes in the empty drops, possibly reflecting underlying physiology.

bioinformatics↗

bioRxiv2026

DEPower: approximate power analysis with DESeq2

Rigorous experimental design, including formal power analysis, is a cornerstone of reproducible RNA sequencing (RNA-seq) research. The design of RNA-seq experiments requires computing the minimum sample number required to identify an effect of a particular size at a predefined significance level. Ideally, the statistical test used for the analysis of experimental data should match the test used for sample size determination; however, few tools use the assumptions of the popular differential expression testing framework DESeq2, and most opt for simulation-based rather than analytical approaches. Grounded in the DESeq2 model framework, we derive sample size requirements for both single-cell and bulk RNA-seq experiments delivered as a web-based tool for power analysis, DEPower, available at https://poweranalysis-fb.streamlit.app/ that makes rigorous RNA-seq study design accessible to all researchers.

bioinformatics↗

bioRxiv2025

Form Follows Function: A New Paradigm of Pancreatic Cancer Progression

Pancreatic ductal adenocarcinoma (PDAC) exhibits a distinctive propensity to invade nearby organs and infiltrate large blood vessels, even in the absence of distant metastasis. While the genetic and transcriptomic drivers of PDAC progression have been well studied, the mechanisms by which these molecular changes translate into functional, invasive behavior remain largely unknown. Here, we uncover a striking level of tissue organization, characterized by previously unrecognized spatial and geometric properties within and among tumor structures. Leveraging the first large-scale, AI-assisted, human-curated PDAC atlas from hematoxylin and eosin (H&E) images, we annotated, classified, and characterized 144,474 malignant and normal structures from treatment-naive (n=118) and neoadjuvant-treated PDAC patients (n=50). Additionally, we developed a new computational tool, SHAPE, to investigate PDAC aggressiveness through a comprehensive "geometrization" of cancer progression. Using traditional H&E-stained slides and three-dimensional (3D) tissue reconstruction experiments, we observed that invading tumor structures display an eccentric morphology with pronounced local angular coherence. These geometric and spatial properties revealed coherent architectural patterns, with invasive structures closely tracking vessels and nerves as they infiltrate surrounding tissue. Mechanistically, integration of morphological features from 39,045 annotated tumor structures with whole-genome and RNA sequencing data revealed that PDACs with numerous eccentric structures exhibit increased copy number alterations (CNAs), loss of heterozygosity (LoH) on the p-arm of chromosome 17, and a quasi-mesenchymal/basal-like molecular subtype. Spatial transcriptomic analysis of 1,650 tumor structures from six additional PDAC patients further confirmed upregulation of invasive cellular programs within highly eccentric structures, such as epithelial-to-mesenchymal transition (EMT), angiogenesis, coagulation, and complement pathways, underscoring their infiltrative nature. Finally, cross-validation of our AI-based method enabled a fully automated, highly interpretable computational approach to assist pathologists and clinicians in evaluating neoadjuvant chemotherapy response, predicting patient survival, and guiding chemotherapy in adjuvant settings. Collectively, these findings deepen our understanding of PDAC progression, identify a new hallmark of tumor architecture, and pave the way for full integration of AI-driven morphology-based approaches into clinical workflows to improve the management of PDAC patients.

cancer biology↗

bioRxiv2025

Male XIST expression in cardiac pseudo-glia does not induce X chromosome inactivation

XIST is a long non-coding RNA that mediates the process of X chromosome inactivation in females, and has not been previously observed in males outside of developmental, pathological, and ectopic contexts. We report the unprecedented endogenous expression of XIST in 226 male heart samples across 15 single-cell RNA sequencing studies. The male expression of XIST is specific to a rare cell type typically annotated as neurons or glia. We investigate a variety of explanations and cross-reference the expression of XIST against age, sex, and pathology, finding signatures of a non-canonical inhibitory program, potentially mediated by a truncated transcript. Interestingly, the highest-powered datasets exhibit XIST upregulation in heart disease and comorbidity donors relative to healthier controls. Furthermore, in humans we identify a male-specific association of the XIST genomic locus with myocardial infarction (p = 1.3 x 10-4). Taken together, our findings suggest that the pathology of cardiomyopathy may involve uncharacterized, therapeutically actionable non-coding RNA pathways that operate through the cardiac nervous system, and underscore the importance of genomic investigations of the X chromosome.

bioinformatics↗

bioRxiv2023

Evolutionary constraint and innovation across hundreds of placental mammals

Evolutionary constraint and acceleration are powerful, cell-type agnostic measures of functional importance. Previous studies in mammals were limited by species number and reliance on human-referenced alignments. We explore the evolution of placental mammals, including humans, through reference-free whole-genome alignment of 240 species and protein-coding alignments for 428 species. We estimate 10.7% of the human genome is evolutionarily constrained. We resolve constraint to single nucleotides, pinpointing functional positions, and refine and expand by over seven-fold the catalog of ultraconserved elements. Overall, 48.5% of constrained bases are as yet unannotated, suggesting yet-to-be-discovered functional importance. Using species-level phenotypes and an updated phylogeny, we associate coding and regulatory variation with olfaction and hibernation. Focusing on biodiversity conservation, we identify genomic metrics that predict species at risk of extinction.

genomics↗

bioRxiv2020

From people to Panthera: Natural SARS-CoV-2 infection in tigers and lions at the Bronx Zoo

We describe the first cases of natural SARS-CoV-2 infection detected in animals in the United States. In March 2020, four tigers and three lions at the Bronx Zoo developed mild respiratory signs. SARS-CoV-2 RNA was detected by rRT-PCR in respiratory secretions and/or feces from all seven affected animals; viral RNA and/or antibodies were detected in their keepers. SARS-CoV-2 was isolated from respiratory secretions or feces from three affected animals; in situ hybridization co-localized viral RNA with cellular damage. Whole genome sequence and haplotype network analyses showed tigers and lions were infected with two different SARS-CoV-2 strains, suggesting independent viral introductions. The source of SARS-CoV-2 infection in the lions is unknown. Epidemiological data and genetic similarities between keeper and tiger viruses indicate human to animal transmission.

pathology↗

bioRxiv2018

Increased Interactivity and Improvements to the GigaScience Database, GigaDB.

With a large increase in the volume and type of data archived in GigaDB since its launch in 2011, we have studied the metrics and user patterns to assess the important aspects needed to best suit current and future use. This has led to new front-end developments and enhanced interactivity and functionality that greatly improves user experience. In this article, we present an overview of the current practices including the Biocurational role of the GigaDB staff, the broad usage metrics of GigaDB datasets, and an update on how the GigaDB platform has been overhauled and enhanced to improve the stability and functionality of the codebase. Finally, we report on future directions for the GigaDB resource.

scientific communication and education↗