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Biology subjects

Battenhouse, A.

Publications and source records attributed to Battenhouse, A..

5 recordsLinked to original sources

Identification of novel interacting proteins of FUZ and GPR161.

Proteins modulate signaling pathways through dynamic protein-protein interactions, which provide critical insights into the underlying mechanisms of cellular processes leading to human diseases. Our previous study revealed the biochemical and genetic interactions between FUZ and GPR161 that regulate sonic hedgehog signaling during spinal neural tube development. This study aimed to identify novel co-interacting proteins of FUZ and GPR161 and explore their biochemical and functional associations. We performed affinity-based liquid chromatography-tandem mass spectrometry on immunoprecipitated FUZ and GPR161 proteins. Using this approach, we identified 159 co-interacting proteins, of which 289 proteins that interacted exclusively with FUZ and 617 proteins that interacted exclusively with GPR161. Gene Ontology (GO) analysis of the FUZ and GPR161 co-interactome revealed an enrichment of proteins associated with proteasomal catabolic processes and trafficking. GO analysis of the exclusive FUZ and GPR161 interactomes identified cell cycle progression, mitochondrial membrane, RNA metabolism, receptor complex, and Endoplasmic Reticulum-Golgi transport. These findings were further validated using STRING network analysis. Among the identified proteins, we prioritized FKBP8 and confirmed its biochemical interactions with both FUZ and GPR161 exclusively. In summary, our proteomic profiling uncovered the protein network of FUZ and GPR161, revealing their individual and cooperative functions in multiple cellular processes. Statement of Significance- The functional link between FUZ and GPR161 remains unknown, while our previous study showed their genetic and biochemical link in regulating sonic hedgehog signaling during spinal neural tube development. - This study identified the protein network involving FUZ and GPR161 using affinity- based mass spectrometry combining with gene ontology and STRING analysis, providing the novel molecular regulatory role of FUZ and GPR161. - We prioritized the proteins, FKBP8, as a co-interacting partners of FUZ and GPR161, and validated their biochemical interaction. We identified the FUZ-GPR161-FKBP8 forms protein complex, and their interaction was not exclusive, suggesting those three proteins located in the same signaling pathway potentially regulating spinal neural tube development.

biochemistry↗

Apobec-Mediated Retroviral Hypermutation In Vivo is Dependent on Mouse Strain

Replication of the complex retrovirus mouse mammary tumor virus (MMTV) is antagonized by murine Apobec3 (mA3), a member of the Apobec family of cytidine deaminases. We have shown that MMTV-encoded Rem protein inhibits proviral mutagenesis by the Apobec enzyme, activation-induced cytidine deaminase (AID) during viral replication in BALB/c mice. To further study the role of Rem in vivo, we have infected C57BL/6 (B6) mice with a superantigen-independent lymphomagenic strain of MMTV (TBLV-WT) or a mutant strain (TBLV-SD) that is defective in Rem and its cleavage product Rem-CT. Unlike MMTV, TBLV induced T-cell tumors in {micro}MT mice, indicating that mature B cells, which express the highest AID levels, are not required for TBLV replication. Compared to BALB/c, B6 mice were more susceptible to TBLV infection and tumorigenesis. The lack of Rem expression accelerated B6 tumorigenesis at limiting doses compared to TBLV-WT in either wild-type B6 or AID-deficient mice. However, unlike proviruses from BALB/c mice, high-throughput sequencing indicated that proviral G-to-A or C-to-T changes did not significantly differ in the presence and absence of Rem expression. Ex vivo stimulation showed higher levels of mA3 relative to AID in B6 compared to BALB/c splenocytes, but effects of agonists differed in the two strains. RNA-Seq revealed increased transcripts related to growth factor and cytokine signaling in TBLV-SD-induced tumors relative to those from TBLV-WT, consistent with a third Rem function. Thus, Rem-mediated effects on tumorigenesis in B6 mice are independent of Apobec-mediated proviral hypermutation.

microbiology↗

Systematic Profiling of Ale Yeast Protein Dynamics across Fermentation and Repitching

Studying the genetic and molecular characteristics of brewing yeast strains is crucial for understanding their domestication history and adaptations accumulated over time in fermentation environments, and for guiding optimizations to the brewing process itself. Saccharomyces cerevisiae (brewing yeast) is amongst the most profiled organisms on the planet, yet the temporal molecular changes that underlie industrial fermentation and beer brewing remain understudied. Here, we characterized the genomic makeup of a Saccharomyces cerevisiae ale yeast widely used in the production of Hefeweizen beers, and applied shotgun mass spectrometry to systematically measure the proteomic changes throughout two fermentation cycles which were separated by 14 rounds of serial repitching. The resulting brewing yeast proteomics resource includes 64,740 protein abundance measurements. We found that this strain possesses typical genetic characteristics of Saccharomyces cerevisiae ale strains and displayed progressive shifts in molecular processes during fermentation based on protein abundance changes. We observed protein abundance differences between early fermentation batches compared to those separated by 14 rounds of serial repitching. The observed abundance differences occurred mainly in proteins involved in the metabolism of ergosterol and isobutyraldehyde. Our systematic profiling serves as a starting point for deeper characterization of how the yeast proteome changes during commercial fermentations and additionally serves as a resource to guide fermentation protocols, strain handling, and engineering practices in commercial brewing and fermentation environments. Finally, we created a web interface (https://brewing-yeast-proteomics.ccbb.utexas.edu/) to serve as a valuable resource for yeast geneticists, brewers, and biochemists to provide insights into the global trends underlying commercial beer production.

systems biology↗

Spatiotemporal transcriptional dynamics of the cycling mouse oviduct

Female fertility in mammals requires iterative remodeling of the entire adult female reproductive tract across the menstrual/estrous cycle. However, while transcriptome dynamics across the estrous cycle have been reported in human and bovine models, no global analysis of gene expression across the estrous cycle has yet been reported for the mouse. Here, we examined the cellular composition and global transcriptional dynamics of the mouse oviduct along the anteroposterior axis and across the estrous cycle. We observed robust patterns of differential gene expression along the anteroposterior axis, but we found surprisingly few changes in gene expression across the estrous cycle. Notable gene expression differences along the anteroposterior axis included a surprising enrichment for genes related to embryonic development, such as Hox and Wnt genes. The relatively stable transcriptional dynamics across the estrous cycle differ markedly from other mammals, leading us to speculate that this is an evolutionarily derived state that may reflect the extremely rapid five-day mouse estrous cycle. This dataset fills a critical gap by providing an important genomic resource for a highly tractable genetic model of mammalian female reproduction.

developmental biology↗

Systematic discovery of endogenous human ribonucleoprotein complexes

RNA-binding proteins (RBPs) play essential roles in biology and are frequently associated with human disease. While recent studies have systematically identified individual RBPs, their higher order assembly into Ribonucleoprotein (RNP) complexes has not been systematically investigated. Here, we describe a proteomics method for systematic identification of RNP complexes in human cells. We identify 1,428 protein complexes that associate with RNA, indicating that over 20% of known human protein complexes contain RNA. To explore the role of RNA in the assembly of each complex, we identify complexes that dissociate, change composition, or form stable protein-only complexes in the absence of RNA. Importantly, these data also provide specific novel insights into the function of well-studied protein complexes not previously known to associate with RNA, including replication factor C (RFC) and cytokinetic centralspindlin complex. Finally, we use our method to systematically identify cell-type specific RNA-associated proteins in mouse embryonic stem cells. We distribute these data as a resource, rna.MAP (rna.proteincomplexes.org) which provides a comprehensive dataset for the study of RNA-associated protein complexes. Our system thus provides a novel methodology for further explorations across human tissues and disease states, as well as throughout all domains of life.\n\nSummaryAn exploration of human protein complexes in the presence and absence of RNA reveals endogenous ribonucleoprotein complexes

systems biology↗