Assessing the Impact of Non-Pharmaceutical Interventions on Consumer Mobility Patterns and COVID-19 Transmission in the US.

The initial outbreak of COVID-19 during late December 2019 and the subsequent global pandemic markedly changed consumer mobility patterns worldwide, largely in response to government-ordered non-pharmaceutical interventions (NPIs). In this study, we investigate these changes as they relate to the initial spread of COVID-19 within two states-Massachusetts and Michigan. Specifically, we use linear and generalized linear mixed-effects models to quantify the relationship between four NPIs and individuals' point-of-sale (POS) credit card transactions, as well as the relationship between subsequent changes in POS transactions and county-level COVID-19 case growth rates.

Genome Architecture Mediates Transcriptional Control of Human Myogenic Reprogramming.

Genome architecture has emerged as a critical element of transcriptional regulation, although its role in the control of cell identity is not well understood. Here we use transcription factor (TF)-mediated reprogramming to examine the interplay between genome architecture and transcriptional programs that transition cells into the myogenic identity. We recently developed new methods for evaluating the topological features of genome architecture based on network centrality.

4D nucleome Analysis Toolbox: analysis of Hi-C data with abnormal karyotype and time series capabilities.

Motivation: The availability of powerful analysis tools will further understanding of genome organization and its relationship to phenotype in dynamical settings.

Results: The 4D Nucleome Analysis Toolbox (NAT) is a user-friendly and powerful MATLAB toolbox for time series analysis of genome-wide chromosome conformation capture (Hi-C) data and gene expression (RNA-seq). NAT can load and normalize data, define topologically associating domains, analyse translocations, produce visualization, and study time course data.

Nucleome Analysis Reveals Structure-Function Relationships for Colon Cancer.

Chromosomal translocations and aneuploidy are hallmarks of cancer genomes; however, the impact of these aberrations on the nucleome (i.e., nuclear structure and gene expression) is not yet understood.

Chromosome conformation and gene expression patterns differ profoundly in human fibroblasts grown in spheroids versus monolayers.

Human cells derived for in vitro cultures are conventionally grown as adherent monolayers (2D) which do not resemble natural 3 dimensional (3D) tissue architecture. We examined genome structure with chromosome conformation capture (Hi-C) and gene expression with RNA-seq in fibroblasts derived from human foreskin grown in 2D and 3D conditions. Our combined analysis of Hi-C and RNA-seq data shows a large number of differentially expressed genes between 2D and 3D cells, and these changes are localized in genomic regions that displayed structural changes.

Periodicity of nuclear morphology in human fibroblasts.

Motivation: Morphology of the cell nucleus has been used as a key indicator of disease state and prognosis, but typically without quantitative rigor. It is also not well understood how nuclear morphology varies with time across different genetic backgrounds in healthy cells. To help answer these questions we measured the size and shape of nuclei in cell-cycle-synchronized primary human fibroblasts from 6 different individuals at 32 time points over a 75 hour period.