Biology subjects

Johnson, J. E.

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

At least 19 recordsLinked to original sources

bioRxiv2025

A modular, Galaxy-based immunopeptidogenomic (iPepGen) analysis pipeline for discovery, verification, and prioritization of candidate cancer neoantigen peptides

Characterizing tumor-specific neoantigen peptides, derived from genomic or transcriptomic aberrations and presented to the immune system, is critical for immuno-oncology studies. To this end, the modular iPepGen immunopeptidogenomics pipeline provides these functions: (1) Neoantigen prediction and protein database generation from genomic or transcriptomic sequencing data; (2) Peptide identification (3) Verification from immunopeptidomic mass spectral data; (4) Neoantigen classification and visualization; (5) Candidate prioritization for further study. Easy access via a publicly available, scalable cloud-based gateway coupled with online, interactive training materials streamlines the adoption by cancer researchers who require immunopeptidogenomic analysis tools but lack advanced computational expertise and resources.

bioinformatics↗

bioRxiv2025

Ontogeny of the spinal cord dorsal horn

The dorsal horn of the mammalian spinal cord is an exquisite example of form serving function. It is comprised of diverse neuronal populations stacked into laminae, each of which receives different circuit connections and plays specialized roles in behavior. An outstanding question is how this organization emerges during development from an apparently homogeneous pool of neural progenitors. Here, we found that dorsal neurons are diversified by time, with families of related cell types born as temporal cohorts, and by a spatial-molecular gradient that specifies the full array of individual cell types. Excitatory dorsal neurons then settle in a chronotopic arrangement that transforms their progressive birthdates into anatomical order. This establishes the dorsal horn laminae, as these neurons are also required for spatial organization of inhibitory neurons and sensory axons. This work reveals essential ontogenetic principles that shape dorsal progenitors into the diverse cell types and architecture that subserve sensorimotor behavior. Highlights- Temporal cohorts of late-born dorsal neurons give rise to neuronal families - Sequentially-born excitatory neuron families form adjacent laminae - Laminar structure specifically requires excitatory (but not inhibitory or sensory) neurons - Graded expression of Zic transcription factors directs fine neuronal identity

neuroscience↗

bioRxiv2024

Structural rearrangements and selection promote phenotypic evolution in Anolis lizards

The genomic characteristics of adaptively radiated groups could contribute to their high species number and ecological disparity, by increasing their evolutionary potential. Here, we explored the genomic features of Anolis lizards, focusing on three species with unique phenotypes: A. auratus, one of the species with the longest tail; A. frenatus, one of the largest species; and A. carolinensis, one of the species that inhabits the coldest environments. We assembled and annotated two new chromosome-level reference genomes for A. auratus and A. frenatus, and compared them with the available genomes of A. carolinensis and A. sagrei. We evaluated the presence of structural rearrangements, quantified the density of repeat elements, and identified signatures of positive selection in coding and regulatory regions. We detected substantial rearrangements in scaffolds 1, 2 and 3 of A. frenatus different from the other species, in which the rearrangement breakpoints corresponded to hotspots of developmental genes. Further, we detected an accumulation of repeats around key developmental genes in anoles and phrynosomatid outgroups. Finally, we detected signatures of positive selection on coding sequences and regulatory regions of genes relevant to development and physiology that could affect the unique phenotypes of the analyzed species. Our results suggest that anoles have genomic features associated with genes that affect organismal morphology and physiology. This could provide a genomic substrate that promoted phenotypic disparity in anoles, and contributed to their ability to adaptively radiate. Author SummaryAdaptive radiations are often characterized by high species richness and phenotypic differentiation. Besides the ecological context, the genetic features of organisms could also contribute to their ability to diversify. Anolis lizards are an adaptively radiated group that shows high phenotypic disparity in morphology and physiology. In this study, we explored the genome of four species within the Anolis radiation with distinctive phenotypes. We generated a high-quality chromosome-level reference genome for A. auratus and A. frenatus, and compared them with A. carolinensis and A. sagrei. We detected major structural rearrangements in A. frenatus, a high density of repeat elements around key developmental genes, and signatures of natural selection associated with genes functionally relevant for the analyzed species. Hence, the genomic characteristics of anoles were associated with their unique phenotypic diversity. We highlight the potential relevance of genomic features to influence the ability of groups of organisms to radiate adaptively.

evolutionary biology↗

bioRxiv2024

The Multiple Roles of Gamma Interferon in Intraepithelial T Cell-Villous Enterocyte Interactions in Active Celiac Disease

We compared duodenal biopsies showing active celiac disease (CeD) to normal controls using single cell RNA sequencing, cyclic immunofluorescence, RNAScope and proximity ligation assays. There is increased infiltration of villous but not crypt epithelium T cells bearing either {beta} or {gamma}{delta} T cell receptors (TCRs) in CeD. Both T cell subsets are activated cytotoxic T lymphocytes (CTLs) and surprisingly are the predominant mucosal source of IFN{gamma}. In response to this IFN{gamma},villous but not crypt enterocytes show an IFN{gamma} signature, including nuclear phospho-STAT1 protein, class II HLA molecules and IFN{gamma}-inducible chemokines known to recruit CTLs (e.g., CCL3, CCL4, CXCL10, and CXCL11) and receptors for these chemokines are expressed on the infiltrating CTLs. Villous enterocytes also display increased HLA-E and HLA-B mRNAs and proteins. Bioinformatic analyses (NICHES) and proximity ligation assays show frequent binding of both {beta} and {gamma}{delta} TCRs with enterocyte HLA-E or HLA-B, but not HLA-DR. In contrast, NKG2C, proposed as an alternative trigger of CTL activation, is infrequently-expressed and shows few interactions with HLA-E. Our data suggest that activated intraepithelial CTLs produce IFN{gamma} which recruits additional CTLs and increases antigen-dependent killing of villous epithelium using either conventional or HLA-E antigen presentation. SignifanceAnalyses of diagnostic biopsies from celiac disease patients reveals critical roles for IFN{gamma} actions on enterocytes and a surprising role of HLA-E in antigen presntation. Activated cytotoxic T lymphocytes (CTLs) that are the primary source of mucosal IFN{gamma}, leading to IFN{gamma} signaling in villous enterocytes, including expression of phospho-STAT1 protein, class II HLA molecules, and chemokines that attract CTLs. Bioinformatic ligand receoptor analyses and proximity ligation assays showed frequent interactions between intraepithelial CTLs and enterocyte HLA-E or HLA-B, indicating that IFN{gamma} production by the CTLs likely promotes further CTL recruitment and antigen-dependent killing of the villous epithelium.

immunology↗

bioRxiv2024

Unravelling the Maturation Pathway of a Eukaryotic Virus through Cryo-EM

The importance of virus maturation has been appreciated for nearly 70 years 1 as it provides models for large-scale protein reorganization resulting in functional activation as well as being a target for antiviral therapies 2. However, a detailed description of the pathway from the initial assembly product (procapsid) to the mature, infectious particle (virion) has been elusive. This is due to the "in cell" nature of the natural process, the 2- state behavior of maturation (no detectable intermediates) in some viruses in vitro 3 and heterogeneous populations of particle intermediates that are only partially matured in other systems 4. The non-enveloped, T=4, ssRNA-containing, Nudaurelia capensis omega virus (N{omega}V), is a highly accessible model system that exemplifies the maturation process of a eukaryotic virus. During maturation the particle shrinks in outer diameter from 482 [A] (pH 7.5) to 428 [A] (pH 5.0). It is possible to mimic the maturation process in vitro by lowering the pH of a population of procapsids produced in heterologous systems5. Indeed, by controlling the pH in vitro it is possible to produce homogenous populations of intermediate N{omega}V virus-like particles (VLPs) that occur too fleetingly to be observed in vivo 6. Here we report structural models, based on cryo-electron microscopy (cryo-EM), of five intermediates in the N{omega}V maturation process. The structures of the intermediate particles reveal unique, quaternary position-dependent trajectories and refolding of subunit N and C-terminal regions, including the formation of the autocatalytic cleavage site at N570. The detailed structures reported here, coupled with previously determined structures of the procapsids and mature particles, allows the maturation pathway to be described in detail for the first time for a eukaryotic virus.

biochemistry↗

bioRxiv2023

A novel clinical metaproteomics workflow enables bioinformatic analysis of host-microbe dynamics in disease

Clinical metaproteomics has the potential to offer insights into the host-microbiome interactions underlying diseases. However, the field faces challenges in characterizing microbial proteins found in clinical samples, which are usually present at low abundance relative to the host proteins. As a solution, we have developed an integrated workflow coupling mass spectrometry-based analysis with customized bioinformatic identification, quantification and prioritization of microbial and host proteins, enabling targeted assay development to investigate host-microbe dynamics in disease. The bioinformatics tools are implemented in the Galaxy ecosystem, offering the development and dissemination of complex bioinformatic workflows. The modular workflow integrates MetaNovo (to generate a reduced protein database), SearchGUI/PeptideShaker and MaxQuant (to generate peptide-spectral matches (PSMs) and quantification), PepQuery2 (to verify the quality of PSMs), and Unipept and MSstatsTMT (for taxonomy and functional annotation). We have utilized this workflow in diverse clinical samples, from the characterization of nasopharyngeal swab samples to bronchoalveolar lavage fluid. Here, we demonstrate its effectiveness via analysis of residual fluid from cervical swabs. The complete workflow, including training data and documentation, is available via the Galaxy Training Network, empowering non-expert researchers to utilize these powerful tools in their clinical studies.

bioinformatics↗

bioRxiv2023

Glioblastoma initiation, migration, and cell types are regulated by core bHLH transcription factors ASCL1 and OLIG2

Glioblastomas (GBMs) are highly aggressive, infiltrative, and heterogeneous brain tumors driven by complex driver mutations and glioma stem cells (GSCs). The neurodevelopmental transcription factors ASCL1 and OLIG2 are co-expressed in GBMs, but their role in regulating the heterogeneity and hierarchy of GBM tumor cells is unclear. Here, we show that oncogenic driver mutations lead to dysregulation of ASCL1 and OLIG2, which function redundantly to initiate brain tumor formation in a mouse model of GBM. Subsequently, the dynamic levels and reciprocal binding of ASCL1 and OLIG2 to each other and to downstream target genes then determine the cell types and degree of migration of tumor cells. Single-cell RNA sequencing (scRNA-seq) reveals that a high level of ASCL1 is key in defining GSCs by upregulating a collection of ribosomal protein, mitochondrial, neural stem cell (NSC), and cancer metastasis genes - all essential for sustaining the high proliferation, migration, and therapeutic resistance of GSCs.

neuroscience↗

bioRxiv2023

Photosynthetic acclimation mediates exponential growth of a desert plant in Death Valley summer

Heat waves, now more frequent and longer due to climate change, devastate plant productivity. Although rare, thermophilic plants could hold keys to engineering heat resilience in crop plants. Tidestromia oblongifolia is a thermophilic flowering plant that thrives at temperatures above 45{degrees}C. When exposed to Death Valley summer conditions, T. oblongifolia increased its thermal optimum of photosynthesis within a day and accelerated growth within 10 days. The physiological changes were accompanied by morphological, anatomical, and gene expression changes revealed by a newly sequenced genome. In bundle sheath cells where Rubisco fixes CO2, mitochondria relocated to chloroplasts and novel, cup-shaped chloroplasts appeared. Understanding how this plant acclimates under heat may afford new ways of engineering heat tolerance in crop plants. One-Sentence SummaryTidestromia oblongifolias acclimation to Death Valley is accompanied by changes in gene expression, organellar dynamics, and photosynthesis.

plant biology↗

bioRxiv2023

ASCL1-ERK1/2 Axis: ASCL1 restrains ERK1/2 via the dual specificity phosphatase DUSP6 to promote survival of a subset of neuroendocrine lung cancers

The transcription factor achaete-scute complex homolog 1 (ASCL1) is a lineage oncogene that is central for the growth and survival of small cell lung cancers (SCLC) and neuroendocrine non-small cell lung cancers (NSCLC-NE) that express it. Targeting ASCL1, or its downstream pathways, remains a challenge. However, a potential clue to overcoming this challenage has been information that SCLC and NSCLC-NE that express ASCL1 exhibit extremely low ERK1/2 activity, and efforts to increase ERK1/2 activity lead to inhibition of SCLC growth and surival. Of course, this is in dramatic contrast to the majority of NSCLCs where high activity of the ERK pathway plays a major role in cancer pathogenesis. A major knowledge gap is defining the mechanism(s) underlying the low ERK1/2 activity in SCLC, determining if ERK1/2 activity and ASCL1 function are inter-related, and if manipulating ERK1/2 activity provides a new therapeutic strategy for SCLC. We first found that expression of ERK signaling and ASCL1 have an inverse relationship in NE lung cancers: knocking down ASCL1 in SCLCs and NE-NSCLCs increased active ERK1/2, while inhibition of residual SCLC/NSCLC-NE ERK1/2 activity with a MEK inhibitor increased ASCL1 expression. To determine the effects of ERK activity on expression of other genes, we obtained RNA-seq from ASCL1-expressing lung tumor cells treated with an ERK pathway MEK inhibitor and identified down-regulated genes (such as SPRY4, ETV5, DUSP6, SPRED1) that potentially could influence SCLC/NSCLC-NE tumor cell survival. This led us to discover that genes regulated by MEK inhibition suppress ERK activation and CHIP-seq demonstrated these are bound by ASCL1. In addition, SPRY4, DUSP6, SPRED1 are known suppressors of the ERK1/2 pathway, while ETV5 regulates DUSP6. Survival of NE lung tumors was inhibited by activation of ERK1/2 and a subset of ASCL1-high NE lung tumors expressed DUSP6. Because the dual specificity phosphatase 6 (DUSP6) is an ERK1/2-selective phosphatase that inactivates these kinases and has a pharmacologic inhibitor, we focused mechanistic studies on DUSP6. These studies showed: Inhibition of DUSP6 increased active ERK1/2, which accumulated in the nucleus; pharmacologic and genetic inhibition of DUSP6 affected proliferation and survival of ASCL1-high NE lung cancers; and that knockout of DUSP6 "cured" some SCLCs while in others resistance rapidly developed indicating a bypass mechanism was activated. Thus, our findings fill this knowledge gap and indicate that combined expression of ASCL1, DUSP6 and low phospho-ERK1/2 identify some neuroendocrine lung cancers for which DUSP6 may be a therapeutic target.

cancer biology↗

bioRxiv2022

ViReMa: A Virus Recombination Mapper of Next-Generation Sequencing data characterizes diverse recombinant viral nucleic acids

Genetic recombination is a tremendous source of intra-host diversity in viruses and is critical for their ability to rapidly adapt to new environments or fitness challenges. While viruses are routinely characterized using high-throughput sequencing techniques, characterizing the genetic products of recombination in next-generation sequencing data remains a challenge. Viral recombination events can be highly diverse and variable in nature, including simple duplications and deletions, or more complex events such as copy/snap-back recombination, inter-virus or inter-segment recombination and insertions of host nucleic acids. Due to the variable mechanisms driving virus recombination and the different selection pressures acting on the progeny, recombination junctions rarely adhere to simple canonical sites or sequences. Furthermore, numerous different events may be present simultaneously in a viral population, yielding a complex mutational landscape. We have previously developed an algorithm called ViReMa (Virus Recombination Mapper) that bootstraps the bowtie short-read aligner to capture and annotate a wide-range of recombinant species found within virus populations. Here, we have updated ViReMa to provide an error-density function designed to accurately detect recombination events in the longer reads now routinely generated by the Illumina platforms and provide output reports for multiple types of recombinant species using standardized formats. We demonstrate the utility and flexibility of ViReMa in different settings to report deletion events in simulated data from Flock House virus, copy-back RNA species in Sendai viruses, short duplication events in HIV, and virus to host recombination in an archaeal DNA virus.

bioinformatics↗

bioRxiv2021

VaxArray Immunoassay for the Multiplexed Quantification of Poliovirus D-Antigen

Next generation poliovirus vaccines are critical to reaching global poliovirus eradication goals. Recent efforts have focused on creating inactivated vaccines using attenuated Sabin strains that maintain patient safety benefits and immunogenicity of conventional inactivated vaccines while increasing manufacturing safety and lowering production costs, and on developing novel oral vaccines using modified Sabin strains that provide critical mucosal immunity but are further attenuated to minimize risk of reversion to neurovirulence. In addition, there is a push to improve the analytical tools for poliovirus vaccine characterization. Conventional and Sabin inactivated poliovirus vaccines typically rely on standard plate-based ELISA as in vitro D-antigen potency assays in combination with WHO international standards as calibrants. While widely utilized, the current D-antigen ELISA assays have a long time to result (up to 72 hours), can suffer from lab-to-lab inconsistency due to non-standardized protocols and reagents, and are inherently singleplex. For D-antigen quantitation, we have developed the VaxArray Polio Assay Kit, a multiplexed, microarray-based immunoassay that uses poliovirus-specific human monoclonal antibodies currently under consideration as standardized reagents for characterizing inactivated Sabin and Salk vaccines. The VaxArray assay can simultaneously quantify all 3 poliovirus serotypes with a time to result of less than 3 hours. Here we demonstrate that the assay has limits of quantification suitable for both bioprocess samples and final vaccines, excellent reproducibility and precision, and improved accuracy over an analogous plate-based ELISA. The assay is suitable for adjuvanted combination vaccines, as common vaccine additives and crude matrices do not interfere with quantification, and is intended as a high throughput, standardized quantitation tool to aid inactivated poliovirus vaccine manufacturers in streamlining vaccine development and manufacturing, aiding the global polio eradication effort.

immunology↗

bioRxiv2021

Dominant and nondominant distal radius microstructure: predictors of asymmetry and effects of a unilateral mechanical loading intervention

Most information about distal radius microstructure is based on the non-dominant forearm, with little known about the factors that contribute to bilateral asymmetries in the general population, or what factors may influence bilateral changes over time. Here, we analyzed bilateral longitudinal high resolution peripheral quantitative computed tomography (HRpQCT) data collected over a 12-month period as part of a clinical trial that prescribed a well-controlled, compressive loading task to the nondominant forearm. Baseline data from 102 women age 21-40, and longitudinal data from 66 women who completed the 12-month trial, were examined to determine factors responsible for side-to-side asymmetries in bone structure and change in structure over time. Cross-sectionally, the dominant radius had 2.4%-2.7% larger cross-sectional area, trabecular area, and bone mineral content than the nondominant radius, but no other differences were noted. Those who more strongly favored their dominant arm had significantly more, thinner, closely spaced trabecular struts in their dominant versus nondominant radius. Individuals assigned to a loading intervention had significant bilateral gains in total bone mineral density (2.0% and 1.2% in the nondominant versus dominan sides), and unilateral gains in cortical area (3.1%), thickness (3.0%), bone mineral density (1.7%) and inner trabecular density (1.3%). Each of these gains were significantly predicted by loading dose, a metric that included bone strain, number of cycles, and strain rate. Within individuals, change was negatively associated with age, meaning that women closer to age 40 experienced less of a gain in bone versus those closer to age 21. We believe that dominant/nondominant asymmetries in bone structure reflect differences in habitual loads during growth and past ability to adapt, while response to loading reflects current individual physiologic capacity to adapt.

physiology↗

bioRxiv2020

ASCL1 represses a latent osteogenic program in small cell lung cancer in multiple cells of origin

ASCL1 is a neuroendocrine-lineage-specific oncogenic driver of small cell lung cancer (SCLC), highly expressed in a significant fraction of tumors. However, ~25% of human SCLC are ASCL1-low and associated with low-neuroendocrine fate and high MYC expression. Using genetically-engineered mouse models (GEMMs), we show that alterations in Rb1/Trp53/Myc in the mouse lung induce an ASCL1+ state of SCLC in multiple cells of origin. Genetic depletion of ASCL1 in MYC-driven SCLC dramatically inhibits tumor initiation and progression to the NEUROD1+ subtype of SCLC. Surprisingly, ASCL1 loss converts tumors to a SOX9+ mesenchymal/neural-crest-stem-like state that can differentiate into RUNX2+ bone tumors. ASCL1 represses SOX9 expression, as well as WNT and NOTCH developmental pathways, consistent with human gene expression data. Together, SCLC demonstrates remarkable cell fate plasticity with ASCL1 repressing the emergence of non-endodermal stem-like fates that have the capacity for bone differentiation.

cancer biology↗

bioRxiv2020

Live imaging and biophysical modeling support a button-based mechanism of somatic homolog pairing in Drosophila

The spatial configuration of the eukaryotic genome is organized and dynamic, providing the structural basis for regulated gene expression in living cells. In Drosophila melanogaster, 3D genome organization is characterized by somatic homolog pairing, where homologous chromosomes are intimately paired from end to end; however, the process by which homologs identify one another and pair has remained mysterious. A recent model proposed that specifically interacting "buttons" encoded along the lengths of homologous chromosomes drive somatic homolog pairing. Here, we turned this hypothesis into a precise biophysical model to demonstrate that a button-based mechanism can lead to chromosome-wide pairing. We tested our model and constrained its free parameters using live-imaging measurements of chromosomal loci tagged with the MS2 and PP7 nascent RNA labeling systems. Our analysis showed strong agreement between model predictions and experiments in the separation dynamics of tagged homologous loci as they transition from unpaired to paired states, and in the percentage of nuclei that become paired as embryonic development proceeds. In sum, as a result of this dialogue between theory and experiment, our data strongly support a button-based mechanism of somatic homolog pairing in Drosophila and provide a theoretical framework for revealing the molecular identity and regulation of buttons.

developmental biology↗

bioRxiv2020

Lineage transcription factors co-regulate subtype-specific genes providing a roadmap for systematic identification of small cell lung cancer vulnerabilities

Lineage-defining transcription factors (LTFs) play key roles in tumor cell growth, making them highly attractive, but currently "undruggable", small cell lung cancer (SCLC) vulnerabilities. Delineating LTF genomic binding sites and associated chromatin features would provide important insights into SCLC dependencies. Here we map super-enhancers (SEs) across multiple patient-derived SCLC preclinical models, and find SE patterns are sufficient to classify the models into the recently defined, LTF-based, SCLC subtypes. 3D-chromatin conformation analysis identified genes associated with SEs that define subtype-specific tumor signatures with genes functioning in diverse processes. Focusing on ASCL1-high SCLC (SCLC-A), we found ASCL1 physically interacts with NKX2-1 and PROX1. These factors bind overlapping genomic regions, and co-regulate a set of genes, including genes encoding cell surface proteins, SCN3A and KCNB2 enriched in SCLC-A. Genetic depletion of NKX2-1 or PROX1 alone, or in combinations with ASCL1, did not inhibit SCLC growth more than that achieved by depleting ASCL1 alone. We demonstrate the SE signature supports the LTF classification of SCLC, identify NKX2-1 and PROX1 as ASCL1 co-factors, and substantiate the central importance of ASCL1 as a key dependency factor in the majority of SCLC. The LTF and SE gene sets provide a molecular roadmap for future ASCL1 therapeutic targeting studies.

cancer biology↗

bioRxiv2020

Phox2a defines a developmental origin of the anterolateral system in mice and humans

Anterolateral system neurons relay pain, itch and temperature information from the spinal cord to pain-related brain regions, but the differentiation of these neurons and their specific contribution to pain perception remain poorly defined. Here, we show that virtually all mouse spinal neurons that embryonically express the autonomic system-associated Paired-like homeobox 2A (Phox2a) transcription factor innervate nociceptive brain targets, including the parabrachial nucleus and the thalamus. We define Phox2a anterolateral system neuron birth order, migration and differentiation, and uncover an essential role for Phox2a in the development of relay of nociceptive signals from the spinal cord to the brain. Finally, we also demonstrate that the molecular identity of Phox2a neurons is conserved in the human foetal spinal cord. The developmental expression of Phox2a as a uniting feature of anterolateral system neurons suggests a link between nociception and autonomic nervous system function.

neuroscience↗

bioRxiv2020

Precursor intensity-based label-free quantification software tools for proteomic and multi-omic analysis within the Galaxy Platform.

For mass spectrometry-based peptide and protein quantification, label-free quantification (LFQ) based on precursor mass peak (MS1) intensities is considered reliable due to its dynamic range, reproducibility, and accuracy. In LFQ workflows, protein abundance changes are inferred from peptide-level information, including microbial peptides (for metaproteomics) and peptides carrying post-translational modifications (for proteomics) and/or variant sequences (for proteogenomics). Multi-omics studies (such as proteogenomics and metaproteomics) rely on peptide detection and quantification to identify and quantify peptides that map to unique proteoforms and metaproteins. The Galaxy for proteomics (Galaxy-P) platform has proven useful for the development of accessible workflows to identify proteins in these complex multi-omic studies. However, proteomics workflows within the Galaxy platform have lacked well-tested label-free quantification tools. In this study, our main goals were to evaluate two recently published open-source LFQ tools and to implement them within the Galaxy platform, enabling their easy integration with established workflows. These two tools, moFF and FlashLFQ, were selected based on their described peptide quantification capabilities and amenability to Galaxy implementation. Through rigorous testing and communication with the tools developers, we gained insights into the software features necessary for maximizing the performance of each tool. Software features evaluated included: a) match-between-runs (MBR); b) using both Thermo .raw and HUPO standards .mzML file formats as input for improved quantification; c) use of containers and/or conda packages; d) parameters needed for analyzing large input datasets; and e) optimization and validation of software performance. This work 1) establishes a process for software implementation, optimization and validation within Galaxy; and 2) makes powerful new tools for LFQ available which should prove highly useful for a variety of proteomics and multi-omics applications employing the Galaxy platform.

bioinformatics↗

bioRxiv2020

ASCL1 regulates neurodevelopmental transcription factors and cell cycle genes in glioblastoma

Glioblastomas (GBMs) are incurable brain tumors with a high degree of cellular heterogeneity and genetic mutations. Transcription factors that normally regulate neural progenitors and glial development are aberrantly co-expressed in GBM, conferring cancer stem-like properties to drive tumor progression and therapeutic resistance. However, the functional role of individual transcription factors in GBMs in vivo remains elusive. Here, we demonstrate that the basic-helix-loop-helix (bHLH) transcription factor ASCL1 regulates transcriptional targets that are central to GBM development, including neural stem cell and glial transcription factors, oncogenic signaling molecules, chromatin modifying genes, and cell cycle and mitotic genes. We also show that the loss of ASCL1 significantly reduces the proliferation of GBMs induced in the brain of a genetically relevant glioma mouse model, resulting in extended survival times. RNA-seq analysis of mouse GBM tumors reveal that the loss of ASCL1 is associated with downregulation of cell cycle genes, illustrating an important role for ASCL1 in controlling the proliferation of GBM. TABLE OF CONTENTSO_ST_ABSMain PointsC_ST_ABSO_LIASCL1 is co-expressed with neural stem cell/glial transcription factors in GBM C_LIO_LIASCL1 binds to genes that are important for cell proliferation and cancer in the brain. C_LIO_LILoss of ASCL1 downregulates cell cycle genes and increase survival of glioma mouse model. C_LI Table of Content Image O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=178 SRC="FIGDIR/small/958132v1_ufig1.gif" ALT="Figure 1"> View larger version (31K): org.highwire.dtl.DTLVardef@8aa2d7org.highwire.dtl.DTLVardef@1c908edorg.highwire.dtl.DTLVardef@1690085org.highwire.dtl.DTLVardef@a13728_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗