SEARCH · bioRxiv Science

Results for “molecular biology”

Search indexed bioRxiv preprints in genomics, neuroscience, cell biology and bioinformatics. Read source abstracts and check manuscript versions; preprints are not peer reviewed.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 973 records · Page 54Linked to original sources

bioRxiv2026

Establishing MS2-MCP-based single-molecule RNA visualization in Schizosaccharomyces pombe

Single-molecule RNA imaging using the MS2-MCP system has transformed the study of RNA biology across model organisms. However, this technology has remained unavailable for fission yeast (Schizosaccharomyces pombe), even though fission yeast is a central model for eukaryotic gene expression. Achieving single-molecule sensitivity requires identifying a narrow optimum where RNA labels are sufficiently bright while background fluorescence remains minimal. We have now accomplished this for S. pombe by systematically optimizing MCP expression and localization--screening a panel of constitutive S. pombe promoters and evaluating combinations of nuclear localization and export signals (NLSs and NESs). The resulting, successful constructs use tandem StayGold as the MCP fluorescent tag, taking advantage of its superior photostability. Together with optimized vectors for MS2 stem-loop tagging of endogenous transcripts, these tools enable single-molecule RNA imaging in fission yeast, opening the door to quantitative analyses of RNA dynamics in this core genetic model. Summary statementWe establish single-molecule RNA visualization with MS2/MCP for fission yeast, S. pombe, an important model organism to study RNA biology.

molecular biology↗

bioRxiv2021

A simple and general approach to control the activity of DNA processing enzymes

DNA processing enzymes, such as DNA polymerases and endonucleases, have found many applications in biotechnology, molecular diagnostics, and synthetic biology, among others. The development of enzymes with controllable activity, such as hot-start or light-activatable versions, has boosted their applications and improved the sensitivity and specificity of the existing ones. However, current approaches to produce controllable enzymes are experimentally demanding to develop and case specific. Here, we introduce a simple and general method to design light-start DNA processing enzymes. In order to prove its versatility, we applied our method to three DNA polymerases commonly used in biotechnology, including the Phi29 (mesophilic), Taq and Pfu polymerases, and one restriction enzyme. Light-start enzymes showed suppressed polymerase, exonuclease and endonuclease activity until they were re-activated by an UV pulse. Finally, we applied our enzymes to common molecular biology assays, and showed comparable performance to commercial hot-start enzymes.

molecular biology↗

bioRxiv2020

Coupling between ribotypic and phenotypic traits of protists across life-cycle stages and temperatures

Relationships between ribotypic and phenotypic traits of protists across life-cycle stages remain largely unknown. Herein, we used single cells of two soil and two marine ciliate species to examine phenotypic and ribotypic traits and their relationships across lag, log, plateau, cystic stages and temperatures. We found that Colpoda inflata and C. steinii demonstrated allometric relationships between 18S rDNA copy number per cell (CNPC), cell volume (CV), and macronuclear volume across all life-cycle stages. Integrating previously reported data of Euplotes vannus and Strombidium sulcatum indicated taxon-dependent rDNA CNPC-CV functions. Ciliate and prokaryote data analysis revealed that the rRNA CNPC followed a unified power-law function, only if the rRNA-deficient resting cysts were not considered. Hence, a theoretical framework was proposed to estimate the relative quantity of resting cysts in the protistan populations with total cellular rDNA and rRNA copy numbers. Using rDNA CNPC was a better predictor of growth rate at a given temperature than rRNA CNPC and CV, suggesting replication of redundant rDNA operons as a key factor that slows cell division. Single-cell high throughput sequencing and analysis after correcting sequencing errors revealed multiple rDNA and rRNA variants per cell. Both encystment and temperature affected the number of rDNA and rRNA variants in several cases. The divergence of rDNA and rRNA sequence in a single cell ranged from 1% to 10%, depending on species. These findings have important implications for inferring cell-based biological traits (e.g., species richness, abundance and biomass, activity, and community structure) of protists using molecular approaches. ImportanceBased on phenotypic traits, traditional surveys usually characterize organismal richness, abundance, biomass, and growth potential to describe diversity, organization and function of protistan populations and communities. The ribosomal RNA gene (rDNA) and its transcripts have been widely used as molecular markers in ecological studies of protists. Nevertheless, the manner in which these molecules relate to cellular (organismal) and physiological traits remains poorly understood, which could lead to misinterpretations of protistan diversity and ecology. The current research highlights the dynamic nature of cellular rDNA and rRNA contents, which tightly couple with multiple phenotypic traits in ciliated protists. We demonstrate that quantity of resting cysts and maximum growth rate of a population can be theoretically estimated using ribotypic trait-based models. The intra-individual sequence polymorphisms of rDNA and rRNA can be influenced by encystment and temperature, which should be considered when interpreting species-level diversity and community structure of microbial eukaryotes.

molecular biology↗

bioRxiv2021

Protein domain patterns reveal a functional diversity of the archaeal Cdv system and give insights into the origin of the eukaryotic ESCRT system

The Endosomal Sorting Complex Required for Transport (ESCRT) system is a multi-protein machinery that is involved in cell division of both Eukaryotes and Archaea. This spread across super-phyla suggests that a precursor ESCRT machinery existed already at an evolutionary early stage of life, making it a promising candidate for the (re)construction of a minimal cell division machinery. There are, however, only few experimental data about ESCRT machineries in Archaea, due to high technical challenges in cultivation and microscopy. Here, we analyse the proteins of archaeal ESCRT machineries bioinformatically on a domain level, to enable mechanistical comparison without such challenging experiments. First, we infer that there are at least three different cell division mechanisms utilizing ESCRT proteins in archaea, probably similar in their constriction mechanisms but different in membrane tethering. Second, we show that ESCRT proteins in Asgard archaea are highly similar to eukaryotic ESCRT proteins, strengthening the recently developed idea that all Eukaryotes descended from archaea. Third, we reconstruct a plausible evolutionary development of ESCRT machineries and suggest that a simple ESCRT-based constriction machinery existed in the last archaeal common ancestor. These findings not only give very interesting insights into the evolution of cell division in Archaea and Eukaryotes, but also reveal new research avenues by suggesting hypothesis-driven experiments for both, cell biology and bottom-up synthetic biology.

molecular biology↗

bioRxiv2021

Quantification of Antisense Oligonucleotides by Splint Ligation and Quantitative Polymerase Chain Reaction

Reliable detection and quantification of antisense oligonucleotides (ASOs) in experimental and clinical specimens is essential to understand the biological function of novel oligonucleotide-based therapeutics. In this study, we describe a method to detect and quantify ASOs in biological samples, whereby the ASO acts as a splint to direct the ligation of complementary probes and quantitative real-time PCR was used to monitor ligation products. Low levels of 2'-O-MOE gapmer ASO in serum, liver, kidney, lung, heart, muscle, and brain tissues can be detected over a 6-log linear range for detection using this method. This method allows quantification of various types of chemically modified ASOs, including PS linkage, 2'-OMe, 2'-O-MOE, locked nucleic acid (LNA), and siRNA. This method does not require probe modifications, and can be performed using standard laboratory equipment; making it a fast, sensitive, and reliable technique that can be widely applied. This detection method may find potential applications in detection of therapeutic oligonucleotides in biological samples.

molecular biology↗

bioRxiv2022

The ClpX protease is essential for removing the CI master repressor and completing prophage induction in Staphylococcus aureus

Bacteriophages (phages) are the predominant biological entities on the planet and play an important role in the spread of bacterial virulence, pathogenicity, and antimicrobial resistance. After infection, temperate phages can integrate in the bacterial chromosome thanks to the expression of the prophage-encoded CI master repressor. Upon SOS induction, and promoted by RecA*, CI auto-cleaves generating two fragments, one containing the N-terminal domain (NTD), which retains strong DNA-binding capacity, and other corresponding to the C-terminal part of the protein. However, it is unknown how the CI NTD is removed, a process that is essential to allow prophage induction. Here we identify for the first time that the specific interaction of the ClpX protease with the CI NTD repressor fragment is essential and sufficient for prophage activation after SOS-mediated CI autocleavage, defining the final stage in the prophage induction cascade. Our results provide unexpected roles for the bacterial protease ClpX in phage biology.

molecular biology↗

bioRxiv2022

Annexin A6 mediates calcium-dependent secretion of exosomes

Exosomes are a subtype of extracellular vesicles (EV) that are secreted upon fusion of multivesicular bodies (MVBs) with the plasma membrane. In order to identify proteins responsible for this fusion event, we developed sensitive cellular and cell-free assays to measure exosome secretion. Our results suggest that exosome secretion is coupled to Ca2+-dependent plasma membrane repair. Using a targeted proteomics approach, we identify annexin A6 (ANXA6), a well-known plasma membrane repair protein, as a MVB binding protein and demonstrate that it is required for Ca2+-dependent exosome secretion both in intact and in permeabilized cells. Our results suggest that cells employ MVBs as a membrane source for plasma membrane lesion repair during physiological mechanical stress or treatment with a bacterial pore-forming toxin, and that this repair process results in the coincident secretion of exosomes. We propose that this unconventional secretion process may contribute significantly to the heterogeneity of EVs in biological fluids.

molecular biology↗

bioRxiv2023

Label-free high-resolution infrared spectroscopy for spatiotemporal analysis of complex living systems

Label-free chemical and structural imaging of complex living tissue and biological systems is the holy grail of biomedical research and clinical diagnostics. The current analysis techniques are time-consuming and/or require extensive sample preparation, often due to the presence of interfering molecules such as water, making them unsuitable for the analysis of such systems. Here, we demonstrate a proof-of-principle study using label-free optical photothermal mid-infrared microspectroscopy (O-PTIR) for fast, direct spatiotemporal chemical analysis of complex living biological systems at submicron resolution. While other analytical methods can provide only static snapshots of molecular structures, our O-PTIR approach enables time-resolved and in situ investigation of chemical and structural changes of diverse biomolecules in their native conditions. This comprises a technological breakthrough in infrared spectroscopy to analyze biomolecules under native conditions over time: in fresh unprocessed biopsies, living brain tissue, and vertebrates without compromising their viability. One-Sentence SummaryProof-of-principle application of non-destructive O-PTIR for high-resolution spatiotemporal chemical and structural analysis of unprocessed biopsies, living brain tissue, and vertebrates.

molecular biology↗

bioRxiv2023

DeepGO-SE: Protein function prediction as Approximate Semantic Entailment

The Gene Ontology (GO) is one of the most successful ontologies in the biological domain. GO is a formal theory with over 100,000 axioms that describe the molecular functions, biological processes, and cellular locations of proteins in three sub-ontologies. Many methods have been developed to automatically predict protein functions. However, only few of them use the background knowledge provided in the axioms of GO for knowledge-enhanced machine learning, or adjust and evaluate the model for the differences between the sub-ontologies. We have developed DeepGO-SE, a novel method which predicts GO functions from protein sequences using a pretrained large language model combined with a neuro-symbolic model that exploits GO axioms and performs protein function prediction as a form of approximate semantic entailment. We specifically evaluate DeepGO-SE on proteins that have no significant similarity with training proteins and demonstrate that DeepGO-SE can improve function prediction for those proteins.

bioinformatics↗

bioRxiv2024

Transcriptome-based identification of long noncoding RNAs (lncRNAs) across the genome of Anopheles gambiae

Anopheles gambiae is a primary malaria vector mosquito in Africa. RNA-seq based transcriptome analysis has been widely used to study gene expression underlying mosquito life traits such as development, reproduction, immunity, metabolism, and behavior. While it is well known that long non-coding RNAs (lncRNAs) are expressed ubiquitously in transcriptomes across metazoans, lncRNAs remain relatively underexplored in mosquitoes including their identity, expression profiles, and biological functions. In this study, publicly available RNA-seq datasets were leveraged to identify lncRNAs across diverse contexts, including whole mosquitoes, mosquito cells or tissues including midguts, salivary glands, and hemocytes, as well as under different physiological conditions including sugar-feeding, blood-feeding, bacterial challenges, and Plasmodium infections. Across this pool of transcriptomes, 2684 unique lncRNA genes, comprising 4082 transcripts, were identified. Following their identification, these lncRNA genes were integrated into the mosquito transcriptome annotation, which was then used as a reference to analyze both mRNAs and lncRNAs for transcriptional dynamics in different conditions. Like mRNAs, lncRNAs exhibited context-dependent expression patterns. Co-expression networks constructed using weighted gene co-expression network analysis (WGCNA) highlighted the interconnections among lncRNAs and mRNAs. Furthermore, we identified polysome-associated lncRNAs within polysome-captured transcripts, suggesting their involvement in translation regulation and coding capacity for micropeptides. A published ChIP-seq dataset was explored to correlate epigenetic signatures with transcriptional activities of lncRNAs. Overall, our analysis demonstrated that lncRNAs are transcribed alongside mRNAs in various biological contexts. Given their prevalence in the transcriptome, incorporating lncRNAs into transcriptome analyses will enhance our understanding of their functions, shedding light on their regulatory roles in An. gambiae biology.

molecular biology↗

bioRxiv2025

Capturing R-loops at base-pair resolution unveils clustered R-loops regulate gene expression in a number-dependent manner

R-loops are prevalent triplex nucleic strands found across various organisms, involved in numerous biological processes. However, the physiological and pathological functions of R-loops remain largely unknown due to a lack of effective and high-resolution detection methods. Here, using nuclease P1, T5 exonuclease, and lambda exonuclease mediated digestion of ssRNA, ssDNA, and dsDNA while preserving RNA:DNA hybrid, we report a method named R-loop identification assisted by nuclease and high-throughput sequencing (RIAN-seq) for genome-wide mapping of R-loops at base-pair resolution. RIAN-seq represents ultra-accuracy in position and size of R-loops and identifies an order of magnitude more R-loops than current methods. Notably, we find the majority of R-loops ranging from 60 bp to 130 bp and reveal previously unresolvable patterns of R-loops aggerated in clusters across the genome. Clustered R-loops at gene promoters recruit zinc finger transcription factors (VEZF1 and SP5) to promote transcription. The number of R-loops within a cluster positively correlates with the diversity of bound transcription factors. Furthermore, clustered R-loops are less susceptible to transcription perturbation as the number of R-loops within clusters increases. Overall, we demonstrate the ability to identify R-loops at unprecedented resolution and facilitate investigating the mechanisms of clustered R-loops in gene regulation in diverse biological processes.

molecular biology↗

bioRxiv2025

The coloNISation: spatio-temporal metabarcoding surveys in ports reveal homogenised communities with high genetic diversity and connectivity of non-indigenous species

Large commercial ports facilitate the introduction of non-indigenous species (NIS), while smaller harbours and marinas contribute to their regional spread. Harbour networks are thus important drivers of introductions. Despite extensive research effort on NIS in recent years, no study has yet assessed genetic connectivity among harbours considering whole-community composition. Here, we analysed spatio-temporal patterns of metazoan communities over one year in four medium-size harbours along the NW Mediterranean coast sampled by deploying standardised biological collectors. Using cytochrome c oxidase subunit I (COI) metabarcoding, we identified 1,770 metazoan molecular operational taxonomic units (MOTUs), of which 82 were classified as NIS based on a custom database of Mediterranean NIS. Despite their lower species count compared to natives, NIS accounted for 34-70% of reads in harbours. The southernmost harbour had the highest NIS number of reads, likely due to its proximity to aquaculture facilities. While we observed some variation in the spatial structure of metazoan communities across harbours, NIS showed consistently low differentiation values, sharing significantly more MOTUs among sites. Seasonal patterns influenced both NIS and the rest of the community. Haplotype diversity was significantly higher in NIS, which also exhibited lower genetic differentiation across harbours compared to native species, indicating NIS spread via local boating and likely recurrent introductions. These findings highlight distinct dynamics between NIS and native species in artificial environments, emphasising the importance of continued monitoring in harbour networks to manage coastal NIS proliferation. HIGHLIGHTSCOI metabarcoding of standardised collectors detected over 1,700 MOTUs of marine metazoans in ports over a year. Less than 4% were NIS MOTUs, but they comprised 34-71 % of the reads. NIS were more homogeneously distributed among ports than other MOTUs. NIS showed higher genetic variability but lower genetic differentiation than native species. Different dynamics underpin NIS and native assemblages in port communities. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=77 SRC="FIGDIR/small/688838v1_ufig1.gif" ALT="Figure 1000"> View larger version (32K): org.highwire.dtl.DTLVardef@fa0a5corg.highwire.dtl.DTLVardef@1be29ccorg.highwire.dtl.DTLVardef@1aa4e85org.highwire.dtl.DTLVardef@91842_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗

bioRxiv2019

multiSLIDE: a query-driven heatmap visualization tool for multi-omics data

Emerging multi-omics experiments pose new challenges for exploration of quantitative data sets. We present multiSLIDE, a web-based interactive tool for simultaneous heatmap visualization of interconnected molecular features in multi-omics data sets. multiSLIDE operates by keyword search for visualizing biologically connected molecular features, such as genes in pathways and Gene Ontologies, offering convenient functionalities to rearrange, filter, and cluster data sets on a web browser in a real time basis. Various built-in querying mechanisms make it adaptable to diverse omics types, and visualizations are fully customizable. We demonstrate the versatility of the tool through three example studies, each of which showcases its applicability to a wide range of multi-omics data sets, ability to visualize the links between molecules at different granularities of measurement units, and the interface to incorporate inter-molecular relationship from external data sources into the visualization. Online and standalone versions of multiSLIDE are available at https://github.com/soumitag/multiSLIDE.

bioinformatics↗

bioRxiv2026

Essential Molecular Variables of liverworts in biological soil crusts

(1) In plant ecology, functional traits are widely used to predict plant performance in ecosystems. Little is known on molecular traits and how they integrate with the classical trait spectrum, in particular in non-vascular land plants. We conceptualize Essential Molecular Variables (EMVs) using complex-thallose liverworts in biocrusts as reference. (2) We combined morphometry and bioimaging with liquid chromatography high- resolution mass-spectrometry (UPLC/ESI-QTOF-MS) with data-dependent acquisition of tandem mass-spectra (DDA-MS). To identify EMVs, data mining was performed including regression trees, random forest and redundancy analysis combined with manual filtering and functional annotation using literature and chemical libraries. (3) We found the molecular trait spectrum to be highly structured and largely orthogonal to classical traits. We identified six major categories of EMVs: molecule structure, carbon metabolism, amino acids and peptides, shikimates and phenylpropanoids, terpenoids and alkaloids that were functionally related to biotic interactions and bioclimatic properties. (4) We find EMVs to be indicators that characterize plant performance in ecosystems. Molecular traits and EMVs represent the mechanistic link to form and function and extend the functional trait concept. They provide mechanistic insights into how global changes destabilize liverworts in biocrusts and represent a new tool set by informing functional ecology on molecular mechanisms.

ecology↗

bioRxiv2020

Learning to count: determining the stoichiometry of bio-molecular complexes using fluorescence microscopy and statistical modelling

Cellular biology occurs through myriad interactions between diverse molecular components, many of which assemble in to specific complexes. Various techniques can provide a qualitative survey of which components are found in a given complex. However, quantitative analysis of the absolute number of molecules within a complex (known as stoichiometry) remains challenging. Here we provide a novel method that combines fluorescence microscopy and statistical modelling to derive accurate molecular counts. We have devised a system in which a given biomolecule is differentially labelled with spectrally distinct fluorescent dyes (label A or B), which are then mixed such that B-labelled molecules are vastly outnumbered by those with label A. Complexes, containing this component, are then simply scored as either being positive or negative for label B. The frequency of positive complexes is directly related to the stoichiometry of interaction and molecular counts can be inferred by statistical modelling. We demonstrate this method using complexes of Adenovirus particles and monoclonal antibodies, achieving counts that are in excellent agreement with previous estimates. Beyond virology, this approach is readily transferable to other experimental systems and, therefore, provides a powerful tool for quantitative molecular biology. The statistical models used in our analysis are available here: https://github.com/sophiamersmann/molecular-counting, the raw data used for molecular counting can be found here: 10.5281/zenodo.3955142.

bioinformatics↗

bioRxiv2022

The response mechanism of oreorchis patens (Lindl.) Lindl. to cold stress

Cold stress, a major environmental factor, has an important impact on the production of landscape plants and crop yield, and its stress and resistance mechanisms have always been hot research issues. Oreorchis patens (Lindl.) Lindl., an important germplasm resource, has strong frost resistance and can resist low temperatures of -40 {degrees}C. However, the mechanism by which O. patens responds to cold stress remains poorly understood. Here, we examined the adaptation to the low-temperature environment of O. patens by changing the leaf tissue structure, while the synergistic effect of osmotic regulation, reactive oxygen scavenging and protein improved the resistance to cold stress. In addition, analysis of the photosynthetic system showed that cold stress changes the photosynthetic capacity of O. patens leaves to affect cold resistance. Analysis by nonparametric transcriptome sequencing revealed 2402 genes that were differentially expressed, most of which were related to resistance. Simultaneously, quantitative real-time polymerase chain reaction (qRT-PCR) analysis obtained results consistent with the transcriptome. These results indicated that O. patens could alter leaf structure and physiological and biochemical metabolic processes by initiating resistance-related molecular regulatory networks to improve the ability to resist cold stress. This study was the first to discuss the physiological, biochemical and molecular regulatory mechanisms of O. patens resistance to cold stress, which laid a foundation for revealing the biological and molecular mechanisms of overwintering of O. patens and breeding cold-resistant horticultural crops in northern China.

plant biology↗

bioRxiv2026

Optogenetic decoupling of ODC inhibition and degradation reveals a requirement of polyamine oscillation for cell cycle progression

The dysregulation of polyamine homeostasis is a fundamental hallmark of both cancer and aging. Ornithine decarboxylase (ODC), the rate-limiting enzyme in polyamine synthesis, is regulated by the antizyme OAZ1 through a dual mechanism: inhibition of enzymatic activity and induction of proteasomal degradation via a C-terminal degron. In Bachmann-Bupp syndrome (BABS), mutations in this degron lead to ODC accumulation and toxic polyamine levels. However, the functional coupling between ODC inhibition and degradation remains poorly understood, and the current therapeutic intervention with DFMO target enzymatic activity without addressing protein accumulation. Here, we developed an optogenetic yeast model of BABS to decouple ODC inhibition from its degradation. By fusing a light-switchable LOV2-based module to a truncated, degron-less yeast ODC, we created a system where ODC degradation is controlled by light, independent of OAZ1 binding. We demonstrate that the loss of the ODC degron mimics the BABS cellular phenotype, characterized by increased polyamines, elevated ROS, and growth arrest. Crucially, while constant light-induced degradation is insufficient to rescue growth, oscillating ODC degradation at a 40-minute period restores polyamine homeostasis, cell cycle progression, and cellular growth. Our findings demonstrate that the inhibitory and degradation-inducing roles of OAZ1 can be decoupled and highlight the necessity of periodic polyamine oscillation for the cell cycle. Our work would be of great value for understanding the regulation mechanism of the polyamine metabolic network and establishing new targeted therapeutic strategies. Significance statementMutations in ODC degron lead to ODC accumulation and toxic polyamine levels in BABS. While DFMO has provided clinical relief for BABS patients, its utility is limited because it only inhibit ODC activity. We utilized an optogenetic approach in Saccharomyces cerevisiae to bridge this knowledge gap. We successfully decoupled the inhibitory and degradation-inducing functions of the ODC-OAZ1 axis and achieved three significant biological insights. First, we established yeast as a powerful and versatile model for investigating of the molecular mechanisms of BABS. Second, we demonstrated that the inhibitory and degradation-inducing roles of OAZ1 can be decoupled under specific conditions. Third, we revealed that periodic oscillation in polyamine levels is essential for maintaining proper cell cycle progressing.

molecular biology↗

bioRxiv2023

Inducible degradation-coupled phosphoproteomics identifies PP2A Rts1 as a novel eisosome regulator

Reversible protein phosphorylation is an abundant post-translational modification dynamically regulated by opposing kinases and phosphatases. Protein phosphorylation has been extensively studied in cell division, where waves of cyclin-dependent kinase activity, peaking in mitosis, drive the sequential stages of the cell cycle. Here we developed and employed a strategy to specifically probe kinase or phosphatase substrates at desired times or experimental conditions in the model organism Saccharomyces cerevisiae. We combined auxin- inducible degradation (AID) with mass spectrometry-based phosphoproteomics, which allowed us to arrest physiologically normal cultures in mitosis prior to rapid phosphatase degradation and phosphoproteome analysis. Our results revealed that protein phosphatase 2A coupled with its B56 regulatory subunit, Rts1 (PP2ARts1), is involved in dephosphorylation of numerous proteins in mitosis, highlighting the need for phosphatases to selectively maintain certain proteins in a hypophosphorylated state in the face of high mitotic kinase activity. Unexpectedly, we observed elevated phosphorylation at many sites on several subunits of the fungal eisosome complex following rapid Rts1 degradation. Eisosomes are dynamic polymeric assemblies that create furrows in the plasma membrane important in regulating nutrient import, lipid metabolism, and stress responses, among other things. We found that PP2ARts1-mediated dephosphorylation of eisosomes promotes their plasma membrane association and we provide evidence that this regulation impacts eisosome roles in metabolic homeostasis. The combination of rapid, inducible protein degradation with proteomic profiling offers several advantages over common protein disruption methods for characterizing substrates of regulatory enzymes involved in dynamic biological processes.

molecular biology↗