M

Molly Hammell

Institute for Systems Biology

ORCID: 0000-0003-0405-8392

Publishes on Amyotrophic Lateral Sclerosis Research, Chromosomal and Genetic Variations, RNA Research and Splicing. 90 papers and 10.6k citations.

90Publications
10.6kTotal Citations

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Top publicationsby citations

Ten things you should know about transposable elements
Guillaume Bourque, Kathleen H. Burns, Mary Gehring et al.|Genome biology|2018
Cited by 1.5kOpen Access

Transposable elements (TEs) are major components of eukaryotic genomes. However, the extent of their impact on genome evolution, function, and disease remain a matter of intense interrogation. The rise of genomics and large-scale functional assays has shed new light on the multi-faceted activities of TEs and implies that they should no longer be marginalized. Here, we introduce the fundamental properties of TEs and their complex interactions with their cellular environment, which are crucial to understanding their impact and manifold consequences for organismal biology. While we draw examples primarily from mammalian systems, the core concepts outlined here are relevant to a broad range of organisms.

TEtranscripts: a package for including transposable elements in differential expression analysis of RNA-seq datasets
Ying Jin, Oliver H. Tam, Eric Paniagua et al.|Bioinformatics|2015
Cited by 818Open Access

MOTIVATION: Most RNA-seq data analysis software packages are not designed to handle the complexities involved in properly apportioning short sequencing reads to highly repetitive regions of the genome. These regions are often occupied by transposable elements (TEs), which make up between 20 and 80% of eukaryotic genomes. They can contribute a substantial portion of transcriptomic and genomic sequence reads, but are typically ignored in most analyses. RESULTS: Here, we present a method and software package for including both gene- and TE-associated ambiguously mapped reads in differential expression analysis. Our method shows improved recovery of TE transcripts over other published expression analysis methods, in both synthetic data and qPCR/NanoString-validated published datasets. AVAILABILITY AND IMPLEMENTATION: The source code, associated GTF files for TE annotation, and testing data are freely available at http://hammelllab.labsites.cshl.edu/software. CONTACT: mhammell@cshl.edu. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

TDP-43 loss and ALS-risk SNPs drive mis-splicing and depletion of UNC13A
Cited by 502Open Access

Abstract Variants of UNC13A , a critical gene for synapse function, increase the risk of amyotrophic lateral sclerosis and frontotemporal dementia 1–3 , two related neurodegenerative diseases defined by mislocalization of the RNA-binding protein TDP-43 4,5 . Here we show that TDP-43 depletion induces robust inclusion of a cryptic exon in UNC13A , resulting in nonsense-mediated decay and loss of UNC13A protein. Two common intronic UNC13A polymorphisms strongly associated with amyotrophic lateral sclerosis and frontotemporal dementia risk overlap with TDP-43 binding sites. These polymorphisms potentiate cryptic exon inclusion, both in cultured cells and in brains and spinal cords from patients with these conditions. Our findings, which demonstrate a genetic link between loss of nuclear TDP-43 function and disease, reveal the mechanism by which UNC13A variants exacerbate the effects of decreased TDP-43 function. They further provide a promising therapeutic target for TDP-43 proteinopathies.