Biology subjects

Elias, J. E.

Publications and source records attributed to Elias, J. E..

3 recordsLinked to original sources

bioRxiv2018

Parallel genome-wide CRISPR analysis identifies a role for heterotypic ubiquitin chains in ER-associated degradation

The ubiquitin proteasome system (UPS) maintains the integrity of the proteome and controls the abundance of key regulators of cellular function by selective protein degradation, but how foldingdefective proteins in the secretory system are selected from the large and diverse constellation of membrane and secretory proteins and efficiently delivered to proteasomes in the cytosol is not well understood. To determine the basis of substrate selectivity in human cells, we developed a transcriptional shut off approach to conduct parallel, unbiased, genome-wide CRISPR analysis of structurally and topologically diverse ER-associated degradation (ERAD) clients. Highly quantitative screen metrics allowed precise dissection of entire pathways, enabling identification of unique substrate-specific combinations of recognition and ubiquitin conjugation modules. Our analysis identified cytosolic ubiquitin conjugating machinery that has not been previously linked to ERAD but collaborates with membrane-integrated ubiquitin ligases to conjugate branched or mixed ubiquitin chains to promote efficient and processive substrate degradation.

cell biology↗

bioRxiv2018

Measuring proteomes with long strings: A new, unconstrained paradigm in mass spectrum interpretation

Thousands of protein post-translational modifications (PTMs) dynamically impact nearly all cellular functions. Mass spectrometry is well suited to PTM identification, but proteome-scale analyses are biased towards PTMs with existing enrichment methods. To measure the full landscape of PTM regulation, software must overcome two fundamental challenges: intractably large search spaces and difficulty distinguishing correct from incorrect identifications. Here, we describe TagGraph, software that overcomes both challenges with a string-based search method orders of magnitude faster than current approaches, and probabilistic validation model optimized for PTM assignments. When applied to a human proteome map, TagGraph tripled confident identifications while revealing thousands of modification types on nearly one million sites spanning the proteome. We expand known sites by orders of magnitude for highly abundant yet understudied PTMs such as proline hydroxylation, and derive tissue-specific insight into these PTMs roles. TagGraph expands our ability to survey the full landscape of PTM function and regulation.

bioinformatics↗

bioRxiv2018

The proteome of the malaria plastid organelle, a key anti-parasitic target

Malaria parasites (Plasmodium spp.) and related apicomplexan pathogens contain a non-photosynthetic plastid called the apicoplast. Derived from an unusual secondary eukaryote-eukaryote endosymbiosis, the apicoplast is a fascinating organelle whose function and biogenesis rely on a complex amalgamation of bacterial and algal pathways. Because these pathways are distinct from the human host, the apicoplast is an excellent source of novel antimalarial targets. Despite its biomedical importance and evolutionary significance, the absence of a reliable apicoplast proteome has limited most studies to the handful of pathways identified by homology to bacteria or primary chloroplasts, precluding our ability to study the most novel apicoplast pathways. Here we combine proximity biotinylation-based proteomics (BioID) and a new machine learning algorithm to generate a high-confidence apicoplast proteome consisting of 346 proteins. Critically, the high accuracy of this proteome significantly outperforms previous prediction-based methods and extends beyond other BioID studies of unique parasite compartments. Half of identified proteins have unknown function, and 77% are predicted to be important for normal blood-stage growth. We validate the apicoplast localization of a subset of novel proteins and show that an ATP-binding cassette protein ABCF1 is essential for blood-stage survival and plays a previously unknown role in apicoplast biogenesis. These findings indicate critical organellar functions for newly discovered apicoplast proteins. The apicoplast proteome will be an important resource for elucidating unique pathways derived from secondary endosymbiosis and prioritizing antimalarial drug targets.

microbiology↗