Biology subjects

Goodlett, D. R.

Publications and source records attributed to Goodlett, D. R..

4 recordsLinked to original sources

bioRxiv2022

Rickettsia typhi peptidoglycan mapping with data-dependent tandem mass spectrometry

Rickettsia species are diverse Gram-negative obligate intracellular bacteria often pervasive in numerous invertebrates, as well as fungal, nematode and microeukaryotic hosts. Certain species are etiological agents for well-known arthropod-borne illnesses; e.g., R. rickettsii (Rocky Mountain Spotted Fever), R. prowazekii (Epidemic Typhus), and R. typhi, (Endemic Typhus). Living freely in eukaryotic cytosol presumably exposes rickettsiae to host cell immune receptors, particularly those recognizing bacterial cell envelope glycoconjugates. However, the mechanics of host recognition of rickettsiae remain poorly defined. As rickettsiae synthesize a canonical Gram-negative cell envelope that includes peptidoglycan (PGN) and lipopolysaccharide (LPS), structural insight on these macromolecules is important for deciphering host responses to these pathogens. In this work, PGN from R. typhi was digested and the resultant subunits were analyzed by two different, albeit complementary, sample preparation methods. Both approaches were subsequently subjected to liquid chromatography/mass spectrometry analysis to infer PGN structure. R. typhi PGN was determined to be similar to most other Gram-negative bacteria, with mDAP-type muropeptide subunits. However, additional alanine residues were observed elongating the muropeptide stems, rather than the glycine residues usually observed in Gram-negative bacterial PGN. Despite this deviation, R. typhi contains a murein layer that is predicted to agonize host cellular PGN receptors and be susceptible to PGN-targeting antimicrobials. This same structure is likely synthesized by all Rickettsia species, as bioinformatics and comparative genomics analyses indicate the biosynthesis of PGN is highly conserved. Determining how host cells process this canonical glycoconjugate during infection is crucial for identifying factors behind rickettsial pathogenesis, including immunoavoidance or proinflammatory mechanisms possibly employed by rickettsiae with varying pathogenic potential.

microbiology↗

bioRxiv2022

Caulobacter requires anionic sphingolipids and deactivation of fur to lose lipid A

Lipid A, the membrane-anchored portion of lipopolysaccharide, is an essential component of the outer membrane (OM) of nearly all Gram-negative bacteria. Here, we identify regulatory and structural factors that together permit Caulobacter crescentus to eliminate lipid A from its OM. Mutations in the ferric uptake regulator fur allow Caulobacter to survive in the absence of either LpxC, which catalyzes an early step of lipid A synthesis, or CtpA, a tyrosine phosphatase homolog which we find is needed for wild-type lipid A structure and abundance. Alterations in Fur-regulated processes, rather than iron status per se, underlie the ability to eliminate lipid A. Fitness of lipid A-deficient Caulobacter requires a previously uncharacterized anionic sphingolipid, ceramide phosphoglycerate (CPG), which also mediates sensitivity to the antibiotic colistin. Our results demonstrate that, in an altered regulatory landscape, anionic sphingolipids can support the integrity of a lipid A-deficient OM.

microbiology↗

bioRxiv2022

A comprehensive library of canonical and non-canonical MHC class I antigens for cancer vaccine development.

A longstanding disconnect between the growing number of MHC Class I immunopeptidomic studies and genomic medicine hinders cancer vaccine design. We develop COD-dipp to genomically map the full spectrum of detected canonical and non-canonical (non-exonic) MHC Class I antigens from 26 cancer studies. We demonstrate that patient mutations in regions overlapping physically identified antigens better predict immunotherapy response when compared to neoantigen predictions. We suggest a vaccine design approach using 140,966 highly immune-visible regions of the genome annotated by their expression and haplotype frequency in the human population. These regions tend to be highly conserved, mutated in cancer and harbor 7.8 times more immunogenicity. Intersecting pan-cancer mutations with these immune surveilled regions revealed a potential to create off-the-shelf multi-epitope vaccines against public neoantigens. Here we release COD-dipp, a cancer vaccine toolkit as a web-application (https://www.proteogenomics.ca/COD-dipp) and open-source high-throughput resource.

bioinformatics↗

bioRxiv2021

Enhanced longitudinal differential expression detection in proteomics with robust reproducibility optimization regression

Quantitative proteomics has matured into an established tool and longitudinal proteomic experiments have begun to emerge. However, no effective, simple-to-use differential expression method for longitudinal proteomics data has been released. Typically, such data is noisy, contains missing values, has only few time points and biological replicates. To address this need, we provide a comprehensive evaluation of several existing differential expression methods for high-throughput longitudinal omics data and introduce a new method, Robust longitudinal Differential Expression (RolDE). The methods were evaluated using nearly 2000 semi-simulated spike-in proteomic datasets and a large experimental dataset. The RolDE method performed overall best; it was most tolerant to missing values, displayed good reproducibility and was the top method in ranking the results in a biologically meaningful way. Furthermore, contrary to many approaches, the open source RolDE does not require prior knowledge concerning the types of differences searched, but can easily be applied even by non-experienced users.

bioinformatics↗