Biology subjects

Walker, K. A.

Publications and source records attributed to Walker, K. A..

11 recordsLinked to original sources

bioRxiv2026

Multi-Modal Kinome Profiling Discovers Mesenchymal-Like Polarity Networks that Underly Directed Hepatocellular Carcinoma Cell Migration

Metastasis and associated therapy resistance remain the principal drivers of cancer related death, and there is a pressing need for a deeper mechanistic understanding and anti-metastatic therapies. For patients that suffer from hepatocellular carcinomas (HCCs), which are the most common primary liver cancers, frequent systemic metastasis results in bleak 5-year survival prognoses of only 4%. To metastasize, carcinoma cells must acquire an invasive phenotype, which typically requires switching from an epithelial-like apical-basal polarity to the front-rear polarity of mesenchymal-like cells. Signaling cues that originate in the tumor microenvironment can activate cellular morphogenic programs that drive polarity switching, like the epithelial-mesenchymal transition (EMT). Protein kinases control most cell signaling pathways and are highly actionable drug targets; however, systematic studies determining the kinases that underly the epithelial-mesenchymal polarity switch (EMPS) are lacking. We developed an assay platform that integrates mass spectrometry (MS)-based kinome profiling, broadly capturing kinase network activity, with chemical genetic screening using selective kinase inhibitors and quantitative phase imaging (QPI), serving as the phenotypic readout. Applying this approach that we dubbed morphokin-MS, to epithelial-like HCC cell lines that we induced to undergo EMPS identified a conserved network of 12 kinases that contributed to HCC cell polarity switching and directed cell migration; MS-based kinome profiling of 17 HCC patient tumors showed that these kinase are frequently upregulated in human tumors. morphokin-MS also revealed that death-associated protein kinase 3 (DAPK3) is one of the principal drivers of the EMPS and directed HCC cell migration. Thus, our mechanistic studies revealed that DAPK3 forms a complex with DAPK1 and filamin-A inter-acting protein 1-like (FILIP1L), which act as scaffold proteins that recruit DAPK3 to the centrosome. Pharmaco-logical and genetic inhibition of the DAPK1-DAPK3-FILIP1L complex blocked centrosome repositioning and microtubule polarization toward the leading edge of mesenchymal-like HCC cells, directed cell migration, and invasion. Our morphokin-MS method and comprehensive kinome profiling data will serve as a valuable resource for the cancer research community; our discovery of an inducible mesenchymal-like DAPK1-DAPK3-FILIP1L polarity complex that controls centrosome positioning in motile HCC cells may lead to the development of novel therapeutics for combatting cancer metastasis.

cancer biology↗

bioRxiv2025

The acquisition of rmpADC can increase virulence of classical Klebsiella pneumoniae in the absence of other hypervirulence-associated genes

Klebsiella pneumoniae is one of the most common causes of nosocomial infections, and the rise of drug-resistant K. pneumoniae strains is complicating treatment and contributing to a mounting global health crisis. K. pneumoniae has two pathotypes, classical (cKp) and hypervirulent (hvKp). CKp typically cause opportunistic infections in immunocompromised individuals in healthcare settings and often are multi-drug resistant. HvKp can be community acquired and cause high-mortality infections in immunocompetent individuals. Concerningly, antibiotic-resistant cKp strains with hypervirulence-associated genes and traits have recently emerged. Determining if and how hv-associated genes contribute to increased virulence of cKp strains is essential to addressing this growing threat. The rmpADC operon is an hv-associated locus that confers hypermucoviscosity (HMV), a key virulence phenotype, and rmp genes are often found in convergent strains. In this study, we aimed to determine if the rmp genes alone could increase the virulence of classical strains in the absence of other hv-associated genes. We introduced genetically distinct rmp loci from different lineages into a broad array of cKp isolates and found that, while many isolates became HMV positive, only a subset of these strains showed an increase in virulence in a mouse model of pneumonia. Sequence type and capsule type were not predictive of how rmp acquisition impacted the clinical isolates. Our results indicate that HMV is likely necessary but not sufficient for hypervirulence and that rmp sequence can influence virulence potential in classical strains. IMPORTANCEKlebsiella pneumoniae is a global pathogen, and gene exchange between hypervirulent (hvKp) and classical (cKp) strains is a rising threat. It is essential to understand how hvKp genes impact virulence phenotypes and identify the cKp strain backgrounds most amenable to enhanced virulence. Hypermucoviscosity (HMV) is a critical virulence factor in hypervirulent K. pneumoniae, conferred by the rmpADC locus. The rmp genes are encoded on mobile genetic elements and have been detected in convergent antibiotic-resistant K. pneumoniae strains of concern. In this study, we explored the impact of rmp acquisition in a broad set of classical clinical isolates. We observed that HMV appears necessary, but not sufficient, for increased virulence. Sequence type, capsule type, and HMV capacity could not predict which classical isolates gain an rmp-dependent colonization benefit. These insights increase our understanding of the distinctions between cKp and hvKp and further our ability to identify and treat new strains of concern.

microbiology↗

bioRxiv2025

Neutral lipid processing in glia is sexually dimorphic and promotes sleep through diacylglycerol catabolism

Sleep is thought to have a protective role in clearing toxic waste from the brain, which may include processing of damaged lipids. We recently showed that blocking endocytosis in glia increases sleep and report here that this block is associated with an increase in peroxidized lipids and glial lipid droplet accumulation, raising the possibility that accumulation of these lipids increases the need to sleep. Sleep gain induced by blocking glial transport is exaggerated by knockout of the lipid droplet coat protein, Lipid Storage Droplet 2 (Lsd2), suggesting that sleep-promoting lipids are not contained in lipid droplets. To identify lipids regulated by sleep state, we performed global, targeted lipidomics analysis on Drosophila neurons and glia, screening nearly 3,000 lipids across 11 major classes. This revealed that sex influences lipid composition in both cell types and lipid homeostasis following extended wakefulness. Female neurons and glia are enriched in ultra-long chain fatty acids, triacylglycerols, and diacylglycerols, with glial diacylglycerol enrichment correlating with elevated sleep need. Based on manipulations of neutral lipid metabolic pathways, we propose that monoacylglycerols, products of glial diacylglycerol catabolism, promote sleep.

neuroscience↗

bioRxiv2025

SomaModules: a pathway enrichment approach tailored to SomaScan data

Motivated by the lack of adequate tools to perform pathway enrichment analysis, this work presents an approach specifically tailored to SomaScan data. Starting from annotated gene sets, we developed a greedy, top-down procedure to iteratively identify strongly intra-correlated SOMAmer modules, termed "SomaModules", based on 11K SomaScan data. We generated two repositories based on the latest MSigDB and MitoCarta releases, containing more than 40,000 SOMAmer-based gene sets combined. These repositories can be utilized by any unstructured pathway enrichment analysis tool. We validated our results with two case examples: (i) Alzheimers Disease specific pathways in a 7K SomaScan case-control study, and (ii) mitochondrial pathways using 11K SomaScan data linked to physical performance outcomes. Using Gene Set Enrichment Analysis (GSEA), we found that, in both examples, SomaModules had significantly higher enrichment than the original gene set counterparts. These findings were robust and not significantly affected by the choice of enrichment metric or the Kolmogorov enrichment statistic used in the GSEA procedure. We provide users with access to all code, documentation and data needed to reproduce our current repositories, which also will enable them to leverage our framework to analyze SomaModules derived from other sources, including custom, user-generated gene sets.

bioinformatics↗

bioRxiv2024

Variability of 7K and 11K SomaScan plasma proteomics assays

SomaScan is an aptamer-based proteomics assay designed for the simultaneous measurement of thousands of human proteins with a broad range of endogenous concentrations. The 7K SomaScan assay has been recently expanded into the new 11K version. Following up on our previous assessment of the 7K assay, here we expand our work on technical replicates from donors enrolled in the Baltimore Longitudinal Study of Aging. By generating SomaScan data from a second batch of technical replicates in the 7K version, as well as additional intra- and inter-plate replicate measurements in the new 11K version using the same donor samples, this work provides useful precision benchmarks for the SomaScan user community. Beyond updating our previous technical assessment of the 7K assay with increased statistics, here we estimate inter-batch variability, we assess inter- and intra-plate variability in the new 11K assay, we compare the observed variability between the 7K and 11K assays (leveraging the use of overlapping pairs of technical replicates), and explore the potential effects of sample storage time (ranging from 2 to 30 years) in the assays precision.

systems biology↗

bioRxiv2024

Degradation in Binaural and Spatial Hearing and Auditory Temporal Processing Abilities as a Function of Aging

ObjectivesSensorineural hearing loss is common with advancing age, but even with normal or near-normal hearing in older persons, performance deficits are often seen for suprathreshold listening tasks such as understanding speech in background noise or localizing sound direction. This suggests there is also a more central source of the problem. Objectives of this study were to examine as a function of age (young adult to septuagenarian) performance on: 1) a spatial acuity task examining localization ability, and a spatial speech-in-noise (SSIN) recognition task, both measured in a hemi-anechoic sound field using a circular horizontal-plane loudspeaker array, and 2) a suprathreshold auditory temporal processing task and a spectro-temporal processing task, both measured under headphones. Further, we examined any correlations between age, hearing thresholds including extended high frequency (EHF: >8000 Hz), and these measures. DesignSubjects were 48 adults, aged 21 to 78, with either normal hearing or only a mild sensorineural hearing loss through 4000 Hz. The localization task measured minimum audible angle (MAA) for 500 and 4000 Hz 1/3rd octave narrowband noise (NBN) in diffuse background noise for both an on-axis (reference source 0{degrees}) and off-axis (reference source 45{degrees}) listening condition at signal-to-noise ratios (SNRs) of -3, -6, -9, and -12 dB. SSIN testing was also completed for key word recognition in sentences in multi-talker babble noise; specifically, the separation between speech and noise loudspeakers was adaptively varied to determine the difference needed for 40% and 80% correct performance levels. Finally, auditory temporal processing ability was examined using the Temporal Fine Structure (TFS) test, and the Spectro-Temporal Modulation (STM) test. ResultsSpatial acuity was poorer (larger MAAs) in older compared to younger subjects, particularly in the more adverse listening conditions (off-axis, and poorer SNRs). The SSIN data also showed declining mean performance with age at both criterion levels, emerging in the middle age group (> 40 years), but was not correlated with standard audiometric hearing thresholds. Decreased performance on the TFS and STM tasks was dependent on age, emerging only in the older (> 60 years) and middle (>40 years) age groups, respectively; neither was dependent on hearing thresholds. Results of multiple regression analyses suggest that SSIN recognition scales with the ability of the subjects to use both low-frequency binaural temporal fine structure as well as higher-frequency binaural envelope cues, both of which are impacted by aging but not necessarily audiometric hearing thresholds. Finally, EHF range hearing thresholds significantly decreased with age, but performance on tasks remained significantly correlated with age when controlled for EHF hearing. ConclusionsParticularly for more adverse listening conditions, age-related deficits, but not hearing-threshold-related deficits, were found on both of the spatial hearing tasks and in temporal and spectro-temporal processing abilities. It may be that deficits in temporal processing ability contribute to poorer spatial hearing performance in older subjects due to inaccurate coding of binaural/interaural timing information sent from the periphery to the binaural brainstem. In addition, EHF hearing loss may be a coexisting factor in the reduced performance seen in older subjects.

neuroscience↗

bioRxiv2024

Genomic and functional analysis of rmp locus variants in Klebsiella pneumoniae

AbstractO_ST_ABSBackgroundC_ST_ABSKlebsiella pneumoniae is an opportunistic pathogen and a leading cause of healthcare-associated infections in hospitals, which are frequently antimicrobial resistant (AMR). Exacerbating the public health threat posed by K. pneumoniae, some strains also harbor additional hypervirulence determinants typically acquired via mobile genetic elements such as the well-characterised large virulence plasmid KpVP-1. The rmpADC locus is considered a key virulence feature of K. pneumoniae and is associated with upregulated capsule expression and the hypermucoid phenotype, which can enhance virulence by contributing to serum resistance. Typically such strains have been susceptible to all antimicrobials besides ampicillin, however the recent emergence of AMR hypermucoid strains is concerning. MethodsHere, we investigate the genetic diversity, evolution, mobilisation and prevalence of rmpADC, in a dataset of 14000 genomes from isolates of the Klebsiella pneumoniae species complex, and describe the RmST virulence typing scheme for tracking rmpADC variants for the purposes of genomic surveillance. Additionally, we examine the functionality of representatives for variants of rmpADC introduced into a mutant strain lacking its native rmpADC locus. ResultsThe rmpADC locus was detected in 7% of the dataset, mostly from genomes of K. pneumoniae and a very small number of K. variicola and K. quasipneumoniae. Sequence variants of rmpADC grouped into five distinct lineages (rmp1, rmp2, rmp2A, rmp3 and rmp4) that corresponded to unique mobile elements, and were differentially distributed across different populations (i.e. clonal groups) of K. pneumoniae. All variants were demonstrated to produce enhanced capsule production and hypermucoviscosity. ConclusionThese results provide an overview of the diversity and evolution of a prominent K. pneumoniae virulence factor and support the idea that screening for rmpADC in K. pneumoniae isolates and genomes is valuable to monitor the emergence and spread of hypermucoid K. pneumoniae, including AMR strains.

genomics↗

bioRxiv2022

Assessment of Variability in the Plasma 7k SomaScan Proteomics Assay

SomaScan is a high-throughput, aptamer-based proteomics assay designed for the simultaneous measurement of thousands of proteins with a broad range of endogenous concentrations. In its most current version, the 7k SomaScan assay v4.1 is capable of measuring 7,288 human proteins. In this work, we present an extensive technical assessment of this platform based on a study of 2,050 samples across 22 plates. Included in the study design were inter-plate technical duplicates from 102 human subjects, which allowed us to characterize different normalization procedures, evaluate assay variability by multiple analytical approaches, present signal-over-background metrics, and discuss potential specificity issues. By providing detailed performance assessments on this wide range of technical aspects, we aim for this work to serve as a valuable resource for the growing community of SomaScan users.

molecular biology↗

bioRxiv2022

Colistin resistance mutations in phoQ sensitize Klebsiella pneumoniae to IgM-mediated complement killing

The Gram-negative bacterium Klebsiella pneumoniae is notorious for a strong increase of infections with antibiotic resistant strains. To treat infections with antibiotic resistant K. pneumoniae, clinicians increasingly need to use the last resort antibiotic colistin. K. pneumoniae can develop colistin resistance by modifying its membranes. During infection the membranes of Gram-negative bacteria are also targeted by the human immune system via the complement system. Gram-negative bacteria have an outer and inner membrane separated by a thin cell wall. Activation of the complement system leads to the formation of the membrane attack complex (MAC), a pore that inserts into the outer membrane, and ultimately leads to lysis of the bacterium. As both colistin and the MAC interact with the outer membrane of Gram-negative bacteria, we wondered if developing colistin resistance influences MAC-mediated killing of K. pneumoniae. Using clinical isolates that developed colistin resistance, we found that the strain Kp209_CSTR became more sensitive to MAC-mediated killing compared to the wild-type strain. MAC-mediated membrane permeabilization of Kp209_CSTR required antibody dependent activation of the classical complement pathway. Strikingly, Kp209_CSTR was bound by IgM in human serum that did not recognise the wild-type strain. Depletion of Kp209_CSTR-specific antibodies from serum prevented MAC-mediated membrane permeabilization, which was restored by adding back IgM. Genomic sequence comparison revealed that Kp209_CSTR has a deletion in the phoQ gene. RNAseq analysis suggested that this mutation locks PhoQ in a constitutively active state. These results indicate that PhoQ activation in Kp209_CSTR leads to both colistin resistance and sensitivity to MAC-mediated killing. Together, our results show that developing colistin resistance can sensitize K. pneumoniae to killing by the immune system.

microbiology↗

bioRxiv2020

Genome-scale metabolic reconstruction analysis of Clostridioides difficile identifies conserved patterns of virulence-related metabolic reprogramming

The pathogen Clostridioides difficile causes toxin-mediated diarrhea and is the leading cause of hospital-acquired infection in the US. Due to growing antibiotic resistance and recurrent infection, targeting C. difficile metabolism presents a new approach to combat this infection. Genome-scale metabolic network reconstructions (GENREs) have been used to identify therapeutic targets and uncover properties that determine cellular behaviors. Thus, we constructed C. difficile GENREs for a hyper-virulent isolate (str. R20291) and a historic strain (str. 630), validating both with in vitro and in vivo datasets. Growth simulations revealed significant correlations with measured carbon source usage (PPV [≥] 92.7%), and single-gene deletion analysis showed >89.0% accuracy. Next, we utilized each GENRE to identify metabolic drivers of both sporulation and biofilm formation. Through contextualization of each model using transcriptomes generated from in vitro and infection conditions, we discovered reliance on the Pentose Phosphate Pathway as well as increased usage of cytidine and N-acetylneuraminate when virulence expression is reduced, which was subsequently supported experimentally. Our results highlight the ability of GENREs to identify novel metabolite signals in bacterial pathogenesis. ImportanceClostridioides difficile is a Gram-positive, sporulating anaerobe that has become the leading cause of hospital-acquired infections. Numerous studies have demonstrated the importance of specific metabolic pathways in aspects of C. difficile pathophysiology, from initial colonization to regulation of virulence factors. In the past, genome-scale metabolic network reconstruction (GENRE) analysis of bacteria has enabled systematic investigation of the genetic and metabolic properties that contribute to downstream virulence phenotypes. With this in mind, we generated and extensively curated C. difficile GENREs for both a well-studied laboratory strain (str. 630) as well as a more recently characterized hyper-virulent isolate (str. R20291). In silico validation of both GENREs revealed high degrees of agreement with experimental gene essentiality and carbon source utilization datasets. Subsequent exploration of context-specific metabolism during both in vitro growth and infection revealed consistent patterns of metabolism which corresponded with experimentally measured increases in virulence factor expression. Our results support that differential C. difficile virulence is associated with distinct metabolic programs related use of carbon sources and provides a platform for identification of novel therapeutic targets.

bioengineering↗

bioRxiv2020

The small protein RmpD drives hypermucoviscosity in Klebsiella pneumoniae

Klebsiella pneumoniae has a remarkable ability to cause a wide range of human diseases. It is divided into two broad classes: Classical strains that are a notable problem in healthcare settings due to multidrug resistance, and hypervirulent (hv) strains that are drug sensitive, but able to establish disease in immunocompetent hosts. Alarmingly, there has been an increased frequency of clinical isolates that have both drug resistance and hv-associated genes. One such gene is rmpA that encodes a transcriptional regulator required for maximal capsule (cps) gene expression and confers hypermucoviscosity (HMV). This link has resulted in the assumption that HMV is caused by elevated capsule production. However, we recently reported a new cps regulator, RmpC, and {Delta}rmpC mutants have reduced cps expression but remain HMV, suggesting that capsule and HMV may be separable traits. Here, we report the identification of a small protein, RmpD, that is essential for HMV, but does not impact capsule. RmpD is 58 residues with a putative N-terminal transmembrane domain and highly positively charged C-terminal half, and it is conserved among other hv K. pneumoniae strains. Expression of rmpD in trans complements both {Delta}rmpD and {Delta}rmpA mutants for HMV, suggesting that RmpD is the key driver of this phenotype. The rmpD gene is located between rmpA and rmpC, within an operon regulated by RmpA. This data, combined with our previous work, suggests a model in which the RmpA-associated phenotypes are largely due to RmpA activating the expression of rmpD to produce HMV and rmpC to stimulate cps expression. SIGNIFICANCECapsule is a critical virulence factor in Klebsiella pneumoniae, in both antibiotic-resistant classical strains and hypervirulent strains. Hypervirulent strains usually have a hypermucoviscous (HMV) phenotype that contributes to their heightened virulence capacity, but the production of HMV is not understood. The transcriptional regulator RmpA is required for HMV and also activates capsule gene expression, leading to the assumption that HMV is caused by hyperproduction of capsule. We have identified a new gene (rmpD) required for HMV but does not contribute to capsule production. This distinction between HMV and capsule production will promote a better understanding of the mechanisms of hypervirulence, which is in great need given the alarming increase in clinical isolates with both drug resistance and hypervirulence traits.

microbiology↗