bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tools and applications for integrative analysis of DNA methylation in social insects
Authors: Morandin Claire , Brendel Volker P. 
Published: August 2021

DNA methylation is a common epigenetic signaling tool and an important biological process which is widely studied in a large array of species. The presence, level, and function of DNA methylation varies greatly across species. In insects, DNA methylation systems are reduced, and methylation rates are often low. Low methylation levels probed by whole genome bisulfite sequencing require great care with respect to data quality control and interpretation. Here we introduce BWASP/R, a complete workflow that allows efficient, scalable, and entirely reproducible analyses of raw DNA methylation sequencing data. Consistent application of quality control filters and analysis parameters provides fair comparisons among different studies and an integrated view of all experiments on one species. We describe the capabilities of the BWASP/R workflow by re-analyzing several publicly available social insect WGBS data sets, comprising 70 samples and cumulatively 147 replicates from four different species. We show that the CpG methylome comprises only about 1.5% of CpG sites in the honeybee genome and that the cumulative data are consistent with genetic signatures of site accessibility and physiological control of methylation levels.Significance StatementDNA methylation in the honeybee genome occurs almost entirely at CpG sites. Methylation rates are small compared to rates in mammalian or plant genomes. De novo analysis of all published honeybee methylation studies and statistical modeling suggests that the CpG methylome consists of about only 300,000 sites. The development of a fully reproducible, scalable, portable workflow allows for easy accessible updates of integrative views of all current experiments. The integrated results for the honeybee are consistent with genetic determination of methylation site accessibility by yet uncharacterized sequence features and physiological control of methylation levels at those sites.
The IRE1/XBP1 signaling axis promotes skeletal muscle regeneration through a cell non-autonomous mechanism
Authors: Roy Anirban , da Silva Meiricris Tomaz , Bhat Raksha , Bohnert Kyle R. , Iwawaki Takao , Kumar Ashok 
Published: August 2021

AbstractSkeletal muscle regeneration is regulated by coordinated activation of multiple signaling pathways activated in both injured myofibers and satellite cells. The unfolded protein response (UPR) is a major mechanism that detects and alleviates protein-folding stresses in ER. However, the role of individual arms of the UPR in skeletal muscle regeneration remains less understood. In the present study, we demonstrate that IRE1α (also known as ERN1) and its downstream target, XBP1, are activated in skeletal muscle of mice upon injury. Myofiber-specific ablation of IRE1 or XBP1 in mice diminishes skeletal muscle regeneration that is accompanied with reduced number of satellite cells and their fusion to injured myofibers. Ex vivo cultures of myofiber explants demonstrate that ablation of IRE1α reduces the proliferative capacity of myofiber- associated satellite cells. Myofiber-specific deletion of IRE1α dampens Notch signaling and canonical NF-κB pathway in skeletal muscle of mice. Our results also demonstrate that targeted ablation of IRE1α reduces skeletal muscle regeneration in the mdx mice, a model of Duchenne muscular dystrophy. Collectively, our results reveal that the IRE1α-mediated signaling promotes muscle regeneration through augmenting the proliferation of satellite cells in a cell non- autonomous manner.
Improving robustness of 3D multi-shot EPI by structured low-rank reconstruction of segmented CAIPI sampling for fMRI at 7T
Authors: Chen Xi , Wu Wenchuan , Chiew Mark 
Published: August 2021

AbstractThree-dimensional (3D) encoding methods are increasingly being explored as alternatives to multi-slice two-dimensional (2D) acquisitions in fMRI, particularly in cases where high isotropic resolution is needed. 3D multi-shot EPI is the most popular 3D fMRI acquisition method, but is susceptible to physiological fluctuations which can induce inter-shot phase variations, and thus reducing the achievable tSNR, negating some of the benefit of 3D encoding. This issue can be particularly problematic at ultra-high fields like 7T, which have more severe off-resonance effects. In this work, we aim to improve the temporal stability of 3D multi-shot EPI at 7T by improving its robustness to inter-shot phase variations. We presented a 3D segmented CAIPI sampling trajectory (“seg-CAIPI”) and an improved reconstruction method based on Hankel structured low-rank matrix recovery. Simulation and in-vivo results demonstrate that the combination of the seg-CAIPI sampling scheme and the proposed structured low-rank reconstruction is a promising way to effectively reduce the unwanted temporal variance induced by inter-shot physiological fluctuations, and thus improve the robustness of 3D multi-shot EPI for fMRI.HighlightsA 3D multi-shot EPI sampling trajectory using interleaved ordering along kz and a CAIPI blipping pattern improves robustness to inter-shot phase variationsReconstruction based on Hankel structured low-rank matrix completion can significantly improve the temporal stability of 3D multi-shot acquisitions at 7T1.5mm resolution brain fMRI data show that ~60% improvement in mean tSNR can be obtained using the proposed method compared to the conventional method1.8mm resolution brain fMRI data demonstrate that the proposed method allows for 4-fold acceleration without loss of tSNR compared to conventional 3D EPIPreliminary brainstem fMRI data show that ~40% improvement in mean tSNR can be obtained using the proposed sampling and reconstruction
Village in a dish: a model system for population-scale hiPSC studies
Authors: Neavin Drew R. , Steinmann Angela M. , Chiu Han Sheng , Daniszewski Maciej S. , Moutinho Cátia , Chan Chia-Ling , Tyebally Mubarika , Gnanasambandapillai Vikkitharan , Lam Chuan E. , Nguyen Uyen , Hernández Damián , Lidgerwood Grace E. , Hewitt Alex W. , Pébay Alice , Palpant Nathan J. , Powell Joseph E. 
Published: August 2021

AbstractThe mechanisms by which DNA alleles contribute to disease risk, drug response, and other human phenotypes are highly context-specific, varying across cell types and under different conditions. Human induced pluripotent stem cells (hiPSCs) are uniquely suited to study these context-dependent effects, but to do so requires cell lines from hundreds or potentially thousands of individuals. Village cultures, where multiple hiPSC lines are cultured and differentiated together in a single dish, provide an elegant solution for scaling hiPSC experiments to the necessary sample sizes required for population-scale studies. Here, we show the utility of village models, demonstrating how cells can be assigned back to a donor line using single cell sequencing, and addressing whether line-specific signaling alters the transcriptional profiles of companion lines in a village culture. We generated single cell RNA sequence data from hiPSC lines cultured independently (uni-culture) and in villages at three independent sites. We show that the transcriptional profiles of hiPSC lines are highly consistent between uni- and village cultures for both fresh (0.46 < R < 0.88) and cryopreserved samples (0.46 < R < 0.62). Using a mixed linear model framework, we estimate that the proportion of transcriptional variation across cells is predominantly due to donor effects, with minimal evidence of variation due to culturing in a village system. We demonstrate that the genetic, epigenetic or hiPSC line-specific effects on gene expression are consistent whether the lines are uni- or village-cultured (0.82 < R < 0.94). Finally, we identify the consistency in the landscape of cell states between uni- and village-culture systems. Collectively, we demonstrate that village methods can be effectively used to detect hiPSC line-specific effects including sensitive dynamics of cell states.
A scalable algorithm for clonal reconstruction from sparse time course genomic sequencing data
Authors: Ismail Wazim Mohammed , Tang Haixu 
Published: August 2021

AbstractLong-term evolution experiments (LTEEs) reveal the dynamics of clonal compositions in an evolving bacterial population over time. Accurately inferring the haplotypes - the set of mutations that identify each clone, as well as the clonal frequencies and evolutionary history in a bacterial population is useful for the characterization of the evolutionary pressure on multiple correlated mutations instead of that on individual mutations. Here, we study the computational problem of reconstructing the haplotypes of bacterial clones from the variant allele frequencies (VAFs) observed during a time course in a LTEE. Previously, we formulated the problem using a maximum likelihood approach under the assumption that mutations occur spontaneously, and thus the likelihood of a mutation occurring in a specific clone is proportional to the frequency of the clone in the population when the mutation occurs. We also developed several heuristic greedy algorithms to solve the problem, which were shown to report accurate results of clonal reconstruction on simulated and real time course genomic sequencing data in LTEE. However, these algorithms are too slow to handle sparse time course data when the number of novel mutations occurring during the time course are much greater than the number of time points sampled. In this paper, we present a novel scalable algorithm for clonal reconstruction from sparse time course data. We employed a statistical method to estimate the sampling variance of VAFs derived from low coverage sequencing data and incorporated it into the maximum likelihood framework for clonal reconstruction on noisy sequencing data. We implemented the algorithm (named ClonalTREE2) and tested it using simulated and real sparse time course genomic sequencing data. The results showed that the algorithm was fast and achieved near-optimal accuracy under the maximum likelihood framework for the time course data involving hundreds of novel mutations at each time point. The source code of ClonalTREE2 is available at https://github.com/COL-IU/ClonalTREE2.
Selective estrogen receptor modulators limit alphavirus infection by targeting the viral capping enzyme nsP1
Authors: Mudgal Rajat , Bharadwaj Chandrima , Dubey Aakriti , Choudhary Shweta , Nagarajan Perumal , Aggarwal Megha , Ratra Yashika , Basak Soumen , Tomar Shailly 
Published: August 2021

AbstractAlphaviruses cause animal or human diseases that are characterized by febrile illness, debilitating arthralgia, or encephalitis. Selective estrogen receptor modulators (SERMs), a class of FDA-approved drugs, have been shown to possess antiviral activities against multiple viruses, including Hepatitis C virus, Ebola virus, dengue virus, and vesicular stomatitis virus. Here, we evaluated three SERM compounds, namely 4-hydroxytamoxifen, tamoxifen, and clomifene, for plausible antiviral properties against two medically important alphaviruses, chikungunya virus (CHIKV) and Sindbis virus (SINV). In cell culture settings, these SERMs displayed potent activity against CHIKV and SINV at non-toxic concentrations with EC50 values ranging between 400 nM and 3.9 μM. Further studies indicated that these compounds inhibit a post-entry step of the alphavirus life cycle, while enzymatic assays involving purified recombinant proteins confirmed that these SERMs target the enzymatic activity of non-structural protein 1 (nsP1), the capping enzyme of alphaviruses. Finally, tamoxifen treatment restrained CHIKV growth in the infected mice and diminished musculoskeletal pathologies. Combining biochemical, cell culture-based studies, and in vivo analyses, we strongly argue that SERM compounds, or their derivatives, may provide for attractive therapeutic options against alphaviruses.
In Situ Visualization of the pKM101-Encoded Type IV Secretion System Reveals a Highly Symmetric ATPase Energy Center
Authors: Khara Pratick , Song Liqiang , Christie Peter J. , Hu Bo 
Published: August 2021

ABSTRACTBacterial conjugation systems are members of the type IV secretion system (T4SS) superfamily. T4SSs can be classified as ‘minimized’ or ‘expanded’ based on whether they are composed of a core set of signature subunits or additional system-specific components. Prototypical ‘minimized’ systems mediating Agrobacterium tumefaciens T-DNA transfer and pKM101 and R388 plasmid transfer are built from subunits generically named VirB1-VirB11 and VirD4. We visualized the pKM101-encoded T4SS in the native cellular context by in situ cryoelectron tomography (CryoET). The T4SSpKM101 is composed of an outer membrane core complex (OMCC) connected by a thin stalk to an inner membrane complex (IMC). The OMCC exhibits 14-fold symmetry and resembles that of the T4SSR388 analyzed previously by single-particle electron microscopy. The IMC is highly symmetrical and exhibits 6-fold symmetry. It is dominated by a hexameric collar in the periplasm and a cytoplasmic complex composed of a hexamer of dimers of the VirB4-like TraB ATPase. The IMC closely resembles equivalent regions of three ‘expanded’ T4SSs previously visualized by in situ CryoET, but differs strikingly from the IMC of the purified T4SSR388 whose cytoplasmic complex instead presents as two side-by-side VirB4 hexamers. Analyses of mutant machines lacking each of the three ATPases required for T4SSpKM101 function supplied evidence that TraBB4 as well as VirB11-like TraG contribute to distinct stages of machine assembly. We propose that the VirB4-like ATPases, configured as hexamers-of-dimers at the T4SS entrance, orchestrate IMC assembly and recruitment of the spatially-dynamic VirB11 and VirD4 ATPases to activate the T4SS for substrate transfer.SIGNIFICANCEBacterial type IV secretion systems (T4SSs) play central roles in antibiotic resistance spread and virulence. By cryoelectron tomography (CryoET), we solved the structure of the plasmid pKM101-encoded T4SS in the native context of the bacterial cell envelope. The inner membrane complex (IMC) of the in situ T4SS differs remarkably from that of a closely-related T4SS analyzed in vitro by single particle electron microscopy. Our findings underscore the importance of comparative in vitro and in vivo analyses of the T4SS nanomachines, and support a unified model in which the signature VirB4 ATPases of the T4SS superfamily function as a central hexamer of dimers to regulate early-stage machine biogenesis and substrate entry passage through the T4SS. The VirB4 ATPases are therefore excellent targets for development of intervention strategies aimed at suppressing the action of T4SS nanomachines.
Unveiling the links between peptide identification and differential analysis FDR controls by means of a practical introduction to knockoff filters
Authors: Etourneau Lucas , Varoquaux Nelle , Burger Thomas 
Published: August 2021

AbstractIn proteomic differential analysis, FDR control is often performed through a multiple test correction (i.e., the adjustment of the original p-values). In this protocol, we apply a recent and alternative method, based on so-called knockoff filters. It shares interesting conceptual similarities with the target-decoy competition procedure, classically used in proteomics for FDR control at peptide identification. To provide practitioners with a unified understanding of FDR control in proteomics, we apply the knockoff procedure on real and simulated quantitative datasets. Leveraging these comparisons, we propose to adapt the knockoff procedure to better fit the specificities of quantitive proteomic data (mainly very few samples). Performances of knockoff procedure are compared with those of the classical Benjamini-Hochberg procedure, hereby shedding a new light on the strengths and weaknesses of target-decoy competition.
An Ancestral Function of Strigolactones as Symbiotic Rhizosphere Signals
Authors: Kodama Kyoichi , Rich Mélanie K. , Yoda Akiyoshi , Shimazaki Shota , Xie Xiaonan , Akiyama Kohki , Mizuno Yohei , Komatsu Aino , Luo Yi , Suzuki Hidemasa , Kameoka Hiromu , Libourel Cyril , Keller Jean , Sakakibara Keiko , Nishiyama Tomoaki , Nakagawa Tomomi , Mashiguchi Kiyoshi , Uchida Kenichi , Yoneyama Kaori , Tanaka Yoshikazu , Yamaguchi Shinjiro , Shimamura Masaki , Delaux Pierre-Marc , Nomura Takahito , Kyozuka Junko 
Published: August 2021

AbstractIn flowering plants, carotenoid-derived strigolactones (SLs) have dual functions as hormones that regulate growth and development, and as rhizosphere signaling molecules that induce symbiosis with arbuscular mycorrhizal (AM) fungi. Here, we report the identification of bryosymbiol (BSB), a previously unidentified SL from the bryophyte Marchantia paleacea. BSB is also found in vascular plants, indicating that it is ancestral in land plants. BSB synthesis is enhanced at AM symbiosis permissive conditions and BSB deficient mutants are impaired in AM symbiosis. In contrast, the absence of BSB synthesis has little effect on the growth and gene expression. We show that the introduction of the SL receptor of Arabidopsis renders M. paleacea cells BSB-responsive. These results suggest that BSB is not perceived by M. paleacea cells due to the lack of cognate SL receptors. We propose that SLs originated as AM symbiosis-inducing rhizosphere signaling molecules and were later recruited as plant hormone.
Nanomechanics combined with HDX reveal allosteric drug binding sites of CFTR NBD1
Authors: Padányi Rita , Farkas Bianka , Tordai Hedvig , Kiss Bálint , Grubmüller Helmut , Soya Naoto , Lukács Gergely L. , Kellermayer Miklós , Hegedűs Tamás 
Published: August 2021

AbstractCystic fibrosis is most frequently caused by the deletion of F508 (ΔF508) in CFTR’s nucleotide binding domain 1 (NBD1), compromising CFTR folding, stability and domain assembly. The limitation of developing a successful therapy is due to the lack of molecules that synergistically facilitate folding by targeting distinct structural defects of ΔF508-CFTR. To improve drug efficacy by targeting the ΔF508-NBD1 folding and stability, and to study potential ΔF508-NBD1 allosteric corrector binding sites at the atomic level, we combined molecular dynamics (MD) simulations, atomic force spectroscopy (AFM) and hydrogen-deuterium exchange (HDX) experiments. These methods allowed us to describe unfolding intermediates and forces acting during NBD1 mechanical unfolding and to elucidate the stabilization mechanism of ΔF508-NBD1 by 5-bromoindole-3-acetic acid (BIA). An NBD1 region, including the α-subdomain, was identified as a potentially important participant of the first folding steps, characterized by non-native interactions of F508, thus destabilized in the deletion mutant. The instability was counteracted by the low-potency corrector BIA, increasing the mechanical resistance of the ΔF508-NBD1 α-subdomain, which was confirmed as a binding site by computational modeling and HDX experiments. Our results underline the complementarity of computational and experimental methods and provide a possible strategy to improve folding correctors.
NR4A3 is oxidative stress responsible transcription factor through HMOX1, and also controls cell cycle through CCNE1 and CDK2 in pancreatic islet derived 1.1B4 cells
Authors: Nakayama Motoko , Ueta Etsuko , Yoshida Mitsuru , Shimizu Yuri , Oguchi Reiko , Tokuda Atsuko , Sone Yasuko , Nomi Yuri , Otsuka Yuzuru 
Published: August 2021

ABSTRACTThe mechanism of antioxidant defense system is still controversial. As islet ß-cell is weak in oxidative condition, that causes diabetes mellitus, therefore, antioxidant defense system of human pancreatic islet derived 1.1B4 cell was analyzed. Cells were exposed to H2O2 and comprehensive gene expression was analyzed by Agilent human microarray. HMOX1 and NR4A3, member of orphan receptor, were up-regulated. Therefore, NR4A3 was knocked down with siRNA, then analyzed gene expression by microarray, and found that the knocked down cells were weak in oxidative stress. HMOX1 expression was strongly inhibited by siRNA of NR4A3, and NR4A3 responsible sequence of aaggtca was found near the HMOX1 gene, suggesting NR4A3 is oxidative stress responsible transcription factor through HMOX1 expression. The expression of CCNE1 and CDK2 was also inhibited by knocked down of NR4A3, it is suggested NR4A3 is also important transcription factor for cell growth regulation.Graphical abstractHydrogen peroxide induces NR4A3 and binds to aaggtca sequence of HMOX1, and increased transcription of HMOX1. Resulting heme oxygenase produces biliverdin, antioxidants, from heme. NR4A3 also bind to aaggtca sequence of CDK2 and CCNE1, resulting CDK2 and Cyclin E. CDK2 bind to cyclin E and cell goes from G1 to S phase.
Cre/lox-mediated chromosomal integration of biosynthetic gene clusters for heterologous expression in Aspergillus nidulans
Authors: Roux Indra , Chooi Yit-Heng 
Published: August 2021

AbstractBuilding strains of filamentous fungi for stable long-term heterologous expression of large biosynthetic pathways is limited by the low transformation efficiency or genetic stability of current methods. Here, we developed a system for targeted chromosomal integration of large biosynthetic gene clusters in Aspergillus nidulans based on site-specific recombinase-mediated cassette exchange. We built A. nidulans strains harboring a chromosomal landing pad for Cre/lox-mediated recombination and demonstrated efficient targeted integration of a 21 kb DNA fragment in a single step. We further evaluated the integration at two loci by analyzing the expression of a fluorescent reporter and the production of a heterologous polyketide metabolite. We compared chromosomal expression at those landing loci to episomal AMA1-based expression, which also shed light on uncharacterized aspects of episomal expression in filamentous fungi. This is the first demonstration of site-specific recombinase-mediated integration in filamentous fungi, setting the foundations for the further development of this tool.
Sequence grammar underlying unfolding and phase separation of globular proteins
Authors: Ruff Kiersten M. , Choi Yoon Hee , Cox Dezerae , Ormsby Angelique R. , Myung Yoochan , Ascher David B. , Radford Sheena E. , Pappu Rohit V. , Hatters Danny M. 
Published: August 2021

SummaryAberrant phase separation of globular proteins is associated with many diseases. Here, we use a model protein system to understand how unfolded states of globular proteins drive phase separation and the formation of unfolded protein deposits (UPODs). For UPODs to form, the concentrations of unfolded molecules must be above a threshold value. Additionally, unfolded molecules must possess appropriate sequence grammars to drive phase separation. While UPODs recruit molecular chaperones, their compositional profiles are also influenced by synergistic physicochemical interactions governed by the sequence grammars of unfolded proteins and sequence features of cellular proteins. Overall, we find that the driving forces for phase separation and the compositional profiles of UPODs are governed by the sequence grammar of unfolded proteins. Our studies highlight the need for uncovering the sequence grammars of unfolded proteins that drive UPOD formation and lead to gain-of-function interactions whereby proteins are aberrantly recruited into UPODs.HighlightsUnfolded states of globular proteins phase separate to form UPODs in cellsThe fraction of unfolded molecules and the sticker grammar govern phase separationHydrophobic residues act as stickers that engage in intermolecular interactionsSticker grammar also influences gain-of-function recruitment into aberrant UPODs