bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dynamic control of metabolic zonation and liver repair by endothelial cell Wnt2 and Wnt9b revealed by single cell spatial transcriptomics using Molecular Cartography
Authors: Hu Shikai , Liu Silvia , Bian Yu , Poddar Minakshi , Singh Sucha , Cao Catherine , McGaughey Jackson , Bell Aaron , Blazer Levi L , Adams Jarret J , Sidhu Sachdev S , Angers Stephane , Monga Satdarshan P. 
Published: March 2022

AbstractThe conclusive identity of Wnt proteins regulating liver zonation (LZ) and regeneration (LR) remains unclear despite an undisputed role of β-catenin. Using single-cell analysis of liver cells from various species, a conserved Wnt2 and Wnt9b expression in endothelial cells (ECs) in zone 3 shown to be the major Wnt cell source, was identified. Conditional EC-elimination of Wnt2 and Wnt9b led to perturbation of LZ with not only loss of β-catenin targets in zone 3, but also re-appearance of zone 1 genes in zone 3, unraveling dynamicity as revealed by single-cell spatial transcriptomics using Molecular Cartography. Defective LR observed in the knockouts phenocopied other models of defective hepatic Wnt signaling. Administration of a tetravalent antibody to activate Wnt signaling rescued LZ and LR in the knockouts. Molecular Cartography on the livers of the agonist-treated animal revealed changes in LZ. Administration of the agonist also promoted LR in acetaminophen overdose acute liver failure (ALF) fulfilling an unmet clinical need. Overall, we report an unequivocal role of EC-Wnt2 and Wnt9b in LZ and LR and show the role of Wnt activators as regenerative therapy for ALF.
Proteomic identification of the interactome of stalled ribosome nascent chain complexes translating the thylakoid membrane protein D1
Authors: Stolle Dominique S. , Treimer Paul , Lambertz Jan , Osterhoff Lena , Bischoff Annika , Dünschede Beatrix , Rödiger Anja , Herrmann Christian , Baginsky Sacha , Nowaczyk Marc M. , Schünemann Danja 
Published: March 2022

AbstractThe synthesis of multi-span thylakoid membrane proteins initiates at ribosomes off the membrane. Subsequently, the ribosome nascent chain complexes (RNCs) are transferred to the translocase machinery in the thylakoid membrane for cotranslational protein insertion. These steps require finely tuned mechanisms for protein processing, quality control, and targeting to prevent misfolding or aggregation and to ensure efficient transfer of the nascent chain to the insertion machinery. However, little is known about the regulatory network underlying these processes. To identify factors specifically involved in the cotranslational biogenesis of the reaction center protein D1 of photosystem II we established a chloroplast-derived in vitro translation method that allows the production and affinity purification of stalled RNCs bearing nascent chains of D1 of different defined lengths. Stalled RNCs translating the soluble ribosomal subunit uS2c were affinity-purified for comparison. Quantitative tandem-mass spectrometry revealed a set of about 120 proteins specifically associated with D1 RNCs. The interactome includes proteins with broad functions in protein processing, biogenesis and metabolic pathways, such as chlorophyll biosynthesis. We identified STIC2 as a new factor specifically associated with D1 RNCs. Furthermore, our results demonstrated that the interaction of STIC2 with the thylakoid insertase Alb3 and its homologue Alb4 is mediated by the conserved motif III within the C-terminal regions of Alb3 and Alb4. Our data suggest that STIC2 is involved in cotranslational substrate delivery at the thylakoid membrane by coordinating the binding of the D1 RNCs to the insertase machinery.
GBScleanR: Robust genotyping error correction using hidden Markov model with error pattern recognition
Authors: Furuta Tomoyuki , Yamamoto Toshio , Ashikari Motoyuki 
Published: March 2022

AbstractReduced-representation sequencing (RRS) provides cost-effective and time-saving genotyping platforms. Although the outstanding advantage of RRS in throughput, the obtained genotype data usually contains a large number of errors. Several error correction methods employing hidden Morkov model (HMM) have been developed to overcome these issues. Those methods assume that markers have a uniform error rate with no bias in the allele read ratio. However, bias does occur because of uneven amplification of genomic fragments and read mismapping. In this paper we introduce an error correction tool, GBScleanR, which enables robust and precise error correction for noisy RRS-based genotype data by incorporating marker-specific error rates into the HMM. The results indicate that GBScleanR improves the accuracy by more than 25 percentage points at maximum as compared to the existing tools in simulation datasets and achieves the most reliable genotype estimation in real data even with error prone markers.
Structural and functional insight into the plant unique multimodular triphosphosphate tunnel metalloenzymes of Arabidopsis thaliana
Authors: Pesquera Marta , Martinez Jacobo , Wang Kai , Hofmann Manuel , Loubéry Sylvain , Steensma Priscille , Hothorn Michael , Fitzpatrick Teresa B. 
Published: March 2022

ABSTRACTTriphosphate tunnel metalloenzymes (TTMs) are found in all biological kingdoms and have been characterized in microorganisms and animals. Members of the TTM family already characterized have divergent biological functions and act on a range of triphosphorylated substrates (RNA, thiamine triphosphate, inorganic polyphosphate). TTM proteins in plants have received considerably less attention and are unique in that some homologs harbor additional domains including a P-loop kinase and transmembrane domain. Here we report on structural and functional aspects of the multimodular TTM1 and TTM2 of Arabidopsis thaliana. Tissue and cellular microscopy studies show that both AtTTM1 and AtTTM2 are expressed in actively dividing (meristem) tissue and are tail-anchored proteins at the outer mitochondrial membrane - mediated by the single transmembrane domain at the C-terminus, supporting earlier studies. Crystal structures of AtTTM1 in the presence and absence of a non-hydrolyzable ATP analog reveal a catalytically incompetent TTM tunnel domain tightly interacting with the P-loop kinase domain that is locked in an inactive conformation. Structural comparison reveals that a helical hairpin may facilitate movement of the TTM domain thereby activating the kinase. Genetic studies show that AtTTM2 is important for the developmental transition from the vegetative to the reproductive phase in Arabidopsis, whereas its closest paralog AtTTM1 is not. Rational design of mutations based on the 3D structure demonstrates that both the P-loop kinase and TTM tunnel modules of AtTTM2 are required for the developmental switch.
Informative and adaptive distances and summary statistics in sequential approximate Bayesian computation
Authors: Schälte Yannik , Hasenauer Jan 
Published: March 2022

AbstractCalibrating model parameters on heterogeneous data can be challenging and inefficient. This holds especially for likelihood-free methods such as approximate Bayesian computation (ABC), which rely on the comparison of relevant features in simulated and observed data and are popular for otherwise intractable problems. To address this problem, methods have been developed to scale-normalize data, and to derive informative low-dimensional summary statistics using inverse regression models of parameters on data. However, while approaches only correcting for scale can be inefficient on partly uninformative data, the use of summary statistics can lead to information loss and relies on the accuracy of employed methods.In this work, we first show that the combination of adaptive scale normalization with regression-based summary statistics is advantageous on heterogeneous parameter scales. Second, we present an approach employing regression models not to transform data, but to inform sensitivity weights quantifying data informativeness. Third, we discuss problems for regression models under non-identifiability, and present a solution using target augmentation. We demonstrate improved accuracy and efficiency of the presented approach on various problems, in particular robustness and wide applicability of the sensitivity weights. Our findings demonstrate the potential of the adaptive approach. The developed algorithms have been made available in the open-source Python toolbox pyABC.
Sequence-structure-function relationships in the microbial protein universe
Authors: Koehler Leman Julia , Szczerbiak Pawel , Renfrew P. Douglas , Gligorijevic Vladimir , Berenberg Daniel , Vatanen Tommi , Taylor Bryn C. , Chandler Chris , Janssen Stefan , Pataki Andras , Carriero Nick , Fisk Ian , Xavier Ramnik J. , Knight Rob , Bonneau Richard , Kosciolek Tomasz 
Published: March 2022

Abstract / SummaryFor the past half-century, structural biologists relied on the notion that similar protein sequences give rise to similar structures and functions. While this assumption has driven research to explore certain parts of the protein universe, it disregards spaces that don’t rely on this assumption. Here we explore areas of the protein universe where similar protein functions can be achieved by different sequences and different structures. We predict ∼200,000 structures for diverse protein sequences from 1,003 representative genomes1across the microbial tree of life, and annotate them functionally on a per-residue basis. Structure prediction is accomplished using the World Community Grid, a large-scale citizen science initiative. The resulting database of structural models is complementary to the AlphaFold database, with regards to domains of life as well as sequence diversity and sequence length. We identify 148 novel folds and describe examples where we map specific functions to structural motifs. We also show that the structural space is continuous and largely saturated, highlighting the need for shifting the focus from obtaining structures to putting them into context, to transform all branches of biology, including a shift from sequence-based to sequence-structure-function based meta-omics analyses.
Universal dynamics of biological pattern formation in spatio-temporal morphogen variations
Authors: Dalwadi Mohit P. , Pearce Philip 
Published: March 2022

AbstractIn biological systems, chemical signals termed morphogens self-organise into patterns that are vital for many physiological processes. As observed by Turing in 1952, these patterns are in a state of continual development, and are usually transitioning from one pattern into another. How do cells robustly decode these spatio-temporal patterns into signals in the presence of confounding effects caused by unpredictable or heterogeneous environments? Here, we answer this question by developing a general theory of pattern formation in spatio-temporal variations of ‘pre-pattern’ morphogens, which determine gene-regulatory network parameters. Through mathematical analysis, we identify universal dynamical regimes that apply to wide classes of biological systems. We apply our theory to two paradigmatic pattern-forming systems, and predict that they are robust with respect to non-physiological morphogen variations. More broadly, our theoretical framework provides a general approach to classify the emergent dynamics of pattern-forming systems based on how the bifurcations in their governing equations are traversed.
Genetic Analysis Suggests a Surface of PAT-4 (ILK) that Interacts with UNC-112 (kindlin)
Authors: Qadota Hiroshi , McPherson Annie , Corbitt Rachel , Dackowski Evan Kelton , Matsunaga Yohei , Oberhauser Andres , Benian Guy M. 
Published: March 2022

AbstractThe transmembrane protein integrin plays a crucial role in the attachment of cells to the extracellular matrix. Integrin recruits many proteins intracellularly, including a four protein complex (Kindlin, Integrin linked kinase (ILK), PINCH, and parvin). C. elegans muscle provides an excellent model to study integrin adhesion complexes. In C. elegans, UNC-112 (Kindlin) binds to the cytoplasmic tail of PAT-3 (β-integrin) and to PAT-4 (ILK). We previously reported that PAT-4 binding to UNC-112 is essential for the binding of UNC-112 to PAT-3. Although there are crystal structures for ILK and a kindlin, there is no co-crystal structure available. To understand the molecular interaction between PAT-4 (ILK) and UNC-112 (Kindlin), we took a genetic approach. First, we isolated mutant PAT-4 proteins that cannot bind to UNC-112. Then, we isolated suppressor mutant UNC-112 proteins that restore interaction with mutant PAT-4 proteins. Second, these mutant PAT-4 proteins cannot localize to attachment structures in nematode muscle, but upon co-expression of an UNC-112 suppressor mutant protein, the mutant PAT-4 protein could localize to attachment structures. Third, overexpression of a mutant PAT-4 protein results in disorganization of the adhesion plaques at muscle cell boundaries, and co-expression of the UNC-112 supressor mutant protein alleviates this defect. Thus, we demonstrate that UNC-112 binding to PAT-4 is required for the localization and function of PAT-4 in integrin adhesion complexes in vivo. The missense mutations were mapped onto homology models of PAT-4 and UNC-112, and taking into account previously isolated mutations, we suggest a surface of PAT-4 that binds to UNC-112.
Meta-analysis of the autism gut microbiome identifies factors influencing study discrepancies and machine learning classification
Authors: Chavira Aries , Wang Eric Hou-Jen , Mills Robert H. 
Published: March 2022

AbstractAutism Spectrum Disorder (ASD) is a severe neurodevelopmental disorder and accumulating evidence has suggested that dysbiosis of the gut microbiome plays an essential role. However, a body of research has investigated the ASD gut microbiome without consensus as to whether or how the ASD microbiome differs from neurotypical children. Here, we evaluate the underlying factors leading to study discrepancies by performing a meta-analysis on reprocessed 16S ribosomal RNA gene amplicon (16S) sequencing data. We compile a total of 1,740 samples across 13 carefully selected published studies together with samples from the American Gut Project, and analyze the data in aggregate and from a per-study perspective. We observed increased Bifidobacterium, Actinobacteria, and Prevotella among ASD individuals across cohorts. We further identified associations to Desulfovibrionales, Deltaproteobacteria and Prevotella that were dependent upon which 16S variable regions were sequenced. Utilizing machine learning (ML), we obtained increased accuracy in ASD classification using data collected from certain territories, on younger subjects, on unrelated age-matched rather than related controls, on samples with increased sequencing depth and when accounting for sex differences. Our work provides compelling evidence that the gut microbiome is altered in ASD patients, and highlights novel factors that are important considerations for future studies.
Transcriptional analysis identifies overlapping and tissue-distinct profiles between Kaposi sarcoma tumors of the skin and gastrointestinal tract
Authors: Ramaswami Ramya , Tagawa Takanobu , Mahesh Guruswamy , Serquina Anna , Koparde Vishal , Lurain Kathryn , Dremel Sarah , Li Xiaofan , Mungale Ameera , Beran Alex , Ohler Zoe Weaver , Bassel Laura , Warner Andrew , Mangusan Ralph , Widell Anaida , Ekwede Irene , Krug Laurie T. , Uldrick Thomas S. , Yarchoan Robert , Ziegelbauer Joseph M. 
Published: March 2022

AbstractKaposi sarcoma (KS), caused by Kaposi sarcoma herpesvirus (KSHV), is a multicentric tumor characterized by abnormal vasculature and proliferation of KSHV-infected spindle cells. KS commonly involves the skin but in severe cases KS can also involve the gastrointestinal tract (GI). Here, we sought to compare the cellular and KSHV gene expression signatures of skin and GI KS lesions. Skin and GI KS were compared to normal matched samples using bulk RNA sequencing.Twenty-two paired samples of KS and normal tissue were obtained (skin (10 pairs) and GI (12 pairs)) from 19 patients with KS of whom 17 had concurrent HIV infection. Seven paired samples were from patients who had received prior KS therapy. Three patients provided both skin and GI samples at the same timepoint. These analyses identified 370 differentially expressed genes unique to cutaneous KS and 58 DEGs unique to GI KS compared to normal skin or GI tissues. Twenty-six differentially expressed genes overlapped between skin and GI KS, which included FLT4, which encodes for a VEGF-C and VEGF-D receptor, and STC1. KSHV infection of primary lymphatic endothelial cells (LECs) resulted in increased angiogenesis, and repression of STC1 or FLT4 inhibited angiogenesis. The analyses of KSHV expression from KS lesions identified certain lytic genes, specifically ORF75, that were consistently expressed, and these expression patterns differed from laboratory infection of LECs with KSHV and KSHV gene expression in PEL cell lines. This study demonstrates that complex patterns of gene expression are found in KS tissue that differ from the canonical latent/lytic programs seen in KSHV cell lines and also demonstrates differences in viral gene and clinically relevant host gene expression in skin and GI KS that may offer insights into the pathogenesis of these forms of KS.One sentence summaryKaposi sarcoma that manifests in the skin and gastrointestinal tracts differ by human and viral gene expression.
Evidence that conserved essential genes are enriched for pro-longevity factors
Authors: Oz Naci , Vayndorf Elena , Tsuchiya Mitsuhiro , McLean Samantha , Turcios-Hernandez Lesly , Pitt Jason N. , Blue Ben W. , Muir Michael , Kiflezghi Michael G. , Tyshkovskiy Alexander , Mendenhall Alexander , Kaeberlein Matt , Kaya Alaattin 
Published: March 2022

AbstractAt the cellular level, many aspects of aging are conserved across species. This has been demonstrated by numerous studies in simple model organisms like Saccharomyces cerevisiae, Caenorhabdits elegans, and Drosophila melanogaster. Because most genetic screens examine loss of function mutations or decreased expression of genes through reverse genetics, essential genes have often been overlooked as potential modulators of the aging process. By taking the approach of increasing the expression level of a subset of conserved essential genes, we found that 25% of these genes resulted in increased replicative lifespan in S. cerevisiae. This is greater than the ∼3.5% of genes found to affect lifespan upon deletion, suggesting that activation of essential genes may have a relatively disproportionate effect on increasing lifespan. The results of our experiments demonstrate that essential gene overexpression is a rich, relatively unexplored means of increasing eukaryotic lifespan.
Modeling the Evolution of Rates of Continuous Trait Evolution
Authors: Martin B. S. , Bradburd G. S. , Harmon L. J. , Weber M. G. 
Published: March 2022

AbstractRates of phenotypic evolution vary markedly across the tree of life, from the accelerated evolution apparent in adaptive radiations to the remarkable evolutionary stasis exhibited by so-called “living fossils”. Such rate variation has important consequences for large-scale evolutionary dynamics, generating vast disparities in phenotypic diversity across space, time, and taxa. Despite this, most methods for estimating trait evolution rates assume rates vary deterministically with respect to some variable of interest or change infrequently during a clade’s history. These assumptions may cause underfitting of trait evolution models and mislead hypothesis testing. Here, we develop a new trait evolution model that allows rates to vary gradually and stochastically across a clade. Further, we extend this model to accommodate generally decreasing or increasing rates over time, allowing for flexible modeling of “early/late bursts” of trait evolution. We implement a Bayesian method, termed “evolving rates” (evorates for short), to efficiently fit this model to comparative data. Through simulation, we demonstrate that evorates can reliably infer both how and in which lineages trait evolution rates varied during a clade’s history. We apply this method to body size evolution in cetaceans, recovering substantial support for an overall slowdown in body size evolution over time with recent bursts among some oceanic dolphins and relative stasis among beaked whales of the genus Mesoplodon. These results unify and expand on previous research, demonstrating the empirical utility of evorates.
AlphaFold encodes the principles to identify high affinity peptide binders
Authors: Chang Liwei , Perez Alberto 
Published: March 2022

ABSTRACTMachine learning has revolutionized structural biology by solving the problem of predicting structures from sequence information. The community is pushing the limits of interpretability and application of these algorithms beyond their original objective. Already, AlphaFold’s ability to predict bound conformations for complexes has surpassed the performance of docking methods, especially for protein-peptide binding. A key question is the ability of these methods to differentiate binding affinities between several peptides that bind the same receptor. We show a novel application of AlphaFold for competitive binding of different peptides to the same receptor. For systems in which the individual structures of the peptides are well predicted, predictions in which both peptides are introduced capture the stronger binder in the bound state, and the other peptide in the unbound form. The speed and robustness of the method will be a game changer to screen large libraries of peptide sequences to prioritize for detailed experimental characterization.
Low-Toxin Clostridioides difficile RT027 Strains Exhibit Robust Virulence
Authors: Anwar Farhan , Roxas Bryan Angelo P. , Shehab Kareem W. , Ampel Neil , Viswanathan VK , Vedantam Gayatri 
Published: March 2022

ABSTRACTClostridioides difficile is a leading cause of healthcare-associated infections worldwide. Currently, there is lack of consensus on a single optimal diagnostic method for C. difficile infection (CDI). Nucleic acid amplification tests (NAAT) that detect toxin genes are highly sensitive, but their specificity limitations could inflate CDI rates. Alternate multi-step diagnostic algorithms emphasize the detection of C. difficile toxins TcdA/TcdB, and are premised on the rationale that stool toxin-negative (Tox-) CDI patients have less severe disease, shorter diarrhea duration, and fewer disease complications. There have been no systematic assessments, however, of the virulence of C. difficile strains from Tox-/NAAT+ (discrepant) specimens. In our prospective analysis of 1243 C. difficile-positive patient stool specimens from three Southern Arizona hospitals, 31% were discrepant. Ribotype 027 (RT027) strains were recovered from 221 specimens; of these, 23% were discrepant. Post-culture, RT027 strains produced a range of toxin amounts including levels lower than that of the non-epidemic strain CD630. These low-toxin RT027 (LT-027) strains harbored both tcdA and tcdB genes, and their culture supernatants were cytotoxic to cultured fibroblasts. We confirmed robust colonization and virulence of a subset of LT-027 strains using multiple rodent models; lethality in animals infected with LT-027 strains was comparable to that potentiated by a high-toxin RT027 strain. Comparative genomics and proteomics analyses of several LT-027 strains identified unique genes and altered protein abundances relative to closely-related high-toxin strains. Collectively our data highlight the robust virulence and clinical relevance of low-toxin-producing, RT027 C. difficile isolates.