bluuebunny/crossref_metadata_2025_split huggingface dataset:
scFeatures: Multi-view representations of single-cell and spatial data for disease outcome prediction
Authors: Cao Yue , Lin Yingxin , Patrick Ellis , Yang Pengyi , Yang Jean Yee Hwa 
Published: January 2022

AbstractRecent advances in single-cell technologies enable scientists to measure molecular data at high-resolutions and hold the promise to substantially improve clinical outcomes through personalised medicine. However, due to a lack of tools specifically designed to represent each sample (e.g. patient) from the collection of cells sequenced, disease outcome prediction on the sample level remains a challenging task. Here, we present scFeatures, a tool that creates interpretable molecular representation of single-cell and spatial data using 17 types of features motivated by current literature. The feature types span across six distinct categories including cell type proportions, cell type specific gene expressions, cell type specific pathway scores, cell type specific cell–cell interaction scores, overall aggregated gene expressions and spatial metrics. By generating molecular representation using scFeatures for single-cell RNA-seq, spatial proteomic and spatial transcriptomic data, we demonstrate that different types of features are important for predicting different disease outcomes in different datasets and the downstream analysis of features uncover novel biological discoveries.
Single cell genotyping of matched bone marrow and peripheral blood cells in treatment naive and AZA-treated MDS and CMML
Authors: Schnegg-Kaufmann Annatina , Thoms Julie A. I. , Bhuyan Golam Sarower , Hampton Henry R. , Vaughan Lachlin , Rutherford Kayleigh , Kakadia Purvi M. , Johansson Emma M. V. , Failes Tim , Arndt Greg M. , Koval Jason , Lindeman Robert , Warburton Pauline , Rodriguez-Meira Alba , Mead Adam J. , Unnikrishnan Ashwin , Bohlander Stefan K. , Papaemmanuil Elli , Faridani Omid , Jolly Christopher J. , Zanini Fabio , Pimanda John E. 
Published: January 2022

ABSTRACTProgressively acquired somatic mutations in hematopoietic stem cells are central to pathogenesis in myelodysplastic syndromes (MDS) and chronic myelomonocytic leukemia (CMML). They can lead to proliferative advantages, impaired differentiation and progressive cytopenias. MDS or CMML patients with high-risk disease are treated with hypomethylating agents including 5-azacytidine (AZA). Clinical improvement does not require eradication of mutated cells and may be related to improved differentiation capacity of mutated hematopoietic stem and progenitor cells (HSPCs). However, the contribution of mutated HSPCs to steadystate hematopoiesis in MDS and CMML is unclear. To address this, we characterised the somatic mutations of individual stem, progenitor (common myeloid progenitor, granulocyte monocyte progenitor, megakaryocyte erythroid progenitor), and matched circulating (monocyte, neutrophil, naïve B cell) haematopoietic cells in treatment naïve and AZA-treated MDS and CMML via high-throughput single cell genotyping. The mutational burden was similar across multiple hematopoietic cell types, and even the most mutated stem and progenitor clones maintained their capacity to differentiate to mature myeloid and, in some cases, lymphoid cell types in vivo. Our data show that even highly mutated HSPCs contribute significantly to circulating blood cells in MDS and CMML, prior to and following AZA treatment.Key points*Highly mutated HSPCs contribute significantly to circulating blood cells in MDS and CMML, prior to and following AZA treatment.*The mutational burden in matched bone marrow and peripheral blood cells in MDS and CMML was similar throughout myelopoiesis.
“The Intestine is a Major Contributor to Circulating TCA Cycle Intermediates in Mice”
Authors: Tong Wenxin , Hannou Sarah A. , Wang You , Astapova Inna , Sargsyan Ashot , Monn Ruby , Thiriveedi Venkataramana , Li Diana , McCann Jessica R. , Rawls John F. , Roper Jatin , Zhang Guo-fang , Herman Mark A. 
Published: January 2022

AbstractThe tricarboxylic acid (TCA) cycle is the epicenter of cellular aerobic metabolism. TCA cycle intermediates facilitate energy production and provide anabolic precursors, but also function as intra- and extracellular metabolic signals regulating pleiotropic biological processes. Despite the importance of circulating TCA cycle metabolites as signaling molecules, the source of circulating TCA cycle intermediates remains uncertain. We observe that in mice, the concentration of TCA cycle intermediates in the portal blood exceeds that in tail blood indicating that the gut is a major contributor to circulating TCA cycle metabolites. With a focus on succinate as a representative of TCA cycle intermediate with signaling activities and using a combination of germ-free mice and isotopomer tracing, we demonstrate that intestinal microbiota are not major contributors to circulating TCA cycle metabolites. Moreover, we demonstrate that the endogenous succinate production is markedly higher than intestinal succinate absorption in normal physiological conditions. Altogether, these results indicate that endogenous succinate production within the intestinal tissue is a major physiological source of circulating succinate. These results provide a foundation for investigation into the role of intestine in regulating circulating TCA cycle metabolites and related signaling effects in health and disease.
The Retinal Basis of Light Aversion in Neonatal Mice
Authors: Caval-Holme Franklin S. , Aranda Marcos L. , Chen Andy Quaen , Tiriac Alexandre , Zhang Yizhen , Smith Benjamin , Birnbaumer Lutz , Schmidt Tiffany M. , Feller Marla B. 
Published: January 2022

SUMMARYAversive responses to bright light (photoaversion) require signaling from the eye to the brain. Melanopsin-expressing intrinsically photosensitive retinal ganglion cells (ipRGCs) encode absolute light intensity and are thought to provide the light signals for photoaversion. Consistent with this, neonatal mice exhibit photoaversion prior to the developmental onset of image vision, and melanopsin deletion abolishes photoaversion in neonates. It is not well understood how the population of ipRGCs, which constitutes multiple physiologically distinct types (denoted M1-M6 in mouse) encodes light stimuli to produce an aversive response. Here, we provide several lines of evidence that M1 ipRGCs that lack the Brn3b transcription factor drive photoaversion in neonatal mice. First, neonatal mice lacking TRPC6 and TRPC7 ion channels failed to turn away from bright light, while two photon Ca2+ imaging of their acutely isolated retinas revealed reduced photosensitivity in M1 ipRGCs, but not other ipRGC types. Second, mice in which all ipRGC types except for Brn3b-negative M1 ipRGCs are ablated, exhibited normal photoaversion. Third, pharmacological blockade or genetic knockout of gap junction channels expressed by ipRGCs, which reduces the light sensitivity of M2-M6 ipRGCs in the neonatal retina, had small effects on photoaversion only at the brightest light intensities. Finally, M1s were not strongly depolarized by spontaneous retinal waves, a robust source of activity in the developing retina that depolarizes all other ipRGC types. M1s therefore constitute a separate information channel between the neonatal retina and brain that could ensure behavioral responses to light but not spontaneous retinal waves.
GGDB: A Grameneae Genome Alignment Database of Homologous Genes Hierarchically Related to Evolutionary Events
Authors: Yang Qihang , Liu Tao , Wu Tong , Lei Tianyu , Li Yuxian , Wang Xiyin 
Published: January 2022

ABSTRACTOwing to their economic values, Gramineae plants have been preferentially sequenced their genomes. These genomes are often quite complex, e.g., harboring many duplicated genes, which were the main source of genetic innovation and often the results of recurrent polyploidization. Deciphering the complex genome structure and linking duplicated genes to specific polyploidization events are important to understand the biology and evolution of plants. However, the effort has been held back due to its high complexity in analyzing these genomes. Here, by hierarchically relating duplicated genes in colinearity to each polyploidization or speciation event, we analyzed 29 well-assembled and up-to-date Gramineae genome sequences, separated duplicated genes produced by each event, established lists of paralogous and orthologous genes, and eventually constructed an on-line database, GGDB (http://www.grassgenome.com/). Homologous gene lists from each plant and between them can be displayed, searched, and downloaded from the database. Interactive comparison tools were deployed to demonstrate homology among user-selected plants, to draw genome-scale or local alignment figures, phylogenetic trees of genes corrected by exploiting gene colinearity, etc. Using these tools and figures, users can easily observe genome structural changes, and explore the effects of paleo-polyploidy on crop genome structure and function. The GGDB will be a useful platform to improve understanding the genome changes and functional innovation of Gramineae plants.Key pointsGGDB is the only portal hosting Grameneae colinear homologous genes hierarchically related to evolutionary events, especially polyploidization, which have occurred recursively.Allows systematic analysis of colinear gene relationships and function origination and/or divergence across Grameneae plants.Serving the Grameneae research community, with new genomes, modules, tools, and analysis.
A chemical biology toolbox to investigate in-cell target engagement and specificity of PRMT5-inhibitors
Authors: Rothweiler Elisabeth M. , Stefaniak Jakub , Ward Jennifer A. , Rogers Catherine , Balikci Esra , Huber Kilian V. M. 
Published: January 2022

AbstractIncreasing evidence suggests the protein arginine methyltransferase PRMT5 as a contributor to tumorigenesis in various cancer types and several inhibitors have entered clinical trials. Robust assays to determine cellular target engagement and selectivity are an important asset for the optimisation of inhibitors and the design of relevant in vivo studies. Here we report a suite of chemical biology assays enabling quantitative assessment of PRMT5 inhibitor in-cell target engagement and global selectivity profiling using a representative set of inhibitors. With the help of a bespoke cellular probe, we assess inhibitor target occupancy in cells in relation to biochemical and functional cellular assays. Investigating the influence of SAM, the natural cofactor of PRMT5, our results support the hypothesis that SAM positively contributes to the engagement of substrate-competitive inhibitors via a PRMT5:SAM:inhibitor ternary complex. Extensive proteomic profiling studies by drug affinity chromatography and thermal profiling further indicate high specificity of the clinical PRMT5 inhibitor GSK3326595 (pemrametostat).Graphical abstract
Effects of Neonicotinoid Seed Treatments on Soil Microbial Gene Expression Vary with Time in an Agricultural Ecosystem
Authors: Parizadeh Mona , Mimee Benjamin , Kembel Steven W. 
Published: January 2022

ABSTRACTNeonicotinoids, a class of systemic insecticides, have been widely used for decades against various insect pests. Past studies have reported non-target effects of neonicotinoids on some beneficial macro- and micro-organisms. Given the crucial role that the soil microbiota plays in sustaining soil fertility, it is critical to understand how microbial taxonomic composition and gene expression respond to neonicotinoid exposure. To date, few studies have focused on this question, and these studies have evaluated the shifts in soil microbial taxonomic composition or used soil biochemical analyses to assess the changes in microbial functions. In this study, we have applied a metatranscriptomic approach to quantify the variability in soil microbial gene expression in a two-year soybean/corn crop rotation in Quebec, Canada. We identified weak and temporally inconsistent effects of neonicotinoid application on soil microbial gene expression, as well as a strong temporal variation in soil microbial gene expression among months and years. Neonicotinoid seed treatment altered the expression of a small number of microbial genes, including genes associated with heat shock proteins, regulatory functions, metabolic processes and DNA repair. These changes in gene expression varied during the growing season and between years. Overall, the composition of soil microbial expressed genes seems to be more resilient and less affected by neonicotinoid application than soil microbial taxonomic composition. Our study is among the first to document the effects of neonicotinoid seed treatment on microbial gene expression and highlights the strong temporal variability of soil microbial gene expression and its responses to neonicotinoid seed treatments.IMPORTANCEThis work provides the first example of the impacts of neonicotinoid seed treatment on community-wide soil microbial gene expression in an experimental design representing real farming conditions. Neonicotinoid pesticides have attracted a great deal of attention in recent years due to their potential non-target impacts on ecological communities and their functions. Our paper represents the first use of metatranscriptomic sequencing to offer real-time and in-depth insights into the non-target effects of this pesticide on soil microbial gene expression and on potentially beneficial soil microorganisms.
B.1.617.2 SARS-CoV-2 (Delta) variant is associated with increased risk of hospitalization and death compared with B.1.1.7 SARS-CoV-2 (Alpha) variant
Authors: Rodrigues Eduardo Freire , Moreno Joana , Leite Pedro Pinto , Casaca Pedro , Nunes Baltazar , Gomes João Paulo , Ferreira Rita , Isidro Joana , Borges Vítor , Vieira Luís , Duarte Sílvia , Sousa Carlos , Almeida José Pedro , Menezes Luís , Vaz Dora , Leite Andreia , Peralta-Santos André 
Published: January 2022

AbstractIntroductionThe B.1.617.2 variant (Delta) was associated with increased transmissibility and lower vaccine effectiveness than the B.1.1.7 variant (Alpha). However, the effect of the B.1.617.2 variant on disease severity remains unclear. This study aims to assess whether infection with the B.1.617.2 variant was associated with a higher risk of serious illness, compared with other co-circulating variants, measured through hospitalization and death by COVID-19 in Portugal.MethodsWe conducted a matched cohort study in adult individuals diagnosed with SARS-CoV-2/COVID-19 infection between March 29 and August 1, 2021. Cases were individuals with a positive PCR test notified to the surveillance system. SARS-CoV-2 variants were classified first by genomic sequencing (WGS) and, if this information was unavailable, by detecting the S gene target failure.Delta (B.1.617.2) and Alpha (B.1.1.7) cases were matched on the week of diagnosis at a 1 to k ratio (k being the maximum number of unexposed available in that week) to maximize the inclusion of unexposed, using the nearest-neighbor algorithm. The hazard risk and 95% confidence intervals of hospitalization and death among those infected with the Delta (B.1.617.2) variant vs. Alpha (B.1.1.7) was estimated using a Cox proportional hazards model, adjusting for confounding for sex, age, and vaccination status.ResultsA total of 2,778 cases were included in the study. Of the total, 1 742 (68%) were identified as B.1.617.2 variant cases and 3 629 (32%) as B.1.1.7 variant. Within the B.1.1.7 variant cases 106 (2.9%) were hospitalized, and 110 (6.3%) within the B.1.617.2 variant cases. A total of 29 deaths were reported, 8 (0.2%) in patients infected with B.1.1.7 variant and 21 (1.2%) in patients with the B.1.617.2 variant. The confounding adjusted risk of hospitalization, in persons infected with the B.1.617.2 variant was 2.44 (95%CI 1.85; 3.20) times higher than the risk of hospitalization among B.1.1.7 variant cases, and the confounding-adjusted risk of death for B.1.617.2 variant cases was 5.20 (95%CI 2.20; 12.29) times higher than the risk of death in patients infected by B.1.1.7 variant.ConclusionThe B.1.617.2 variant is associated with an increased risk of hospitalization and death compared with the B.1.1.7 variant.
Inflammation in children with chronic kidney disease linked to gut dysbiosis and metabolite imbalance
Authors: Holle Johannes , Bartolomaeus Hendrik , Löber Ulrike , Behrens Felix , Bartolomaeus Theda U. P. , Anandakumar Harithaa , Wimmer Moritz I. , Vu Dai Long , Kuhring Mathias , Maifeld Andras , Geisberger Sabrina , Kempa Stefan , Bufler Philip , Querfeld Uwe , Kitschke Stefanie , Engler Denise , Kuhrt Leonard D. , Drechsel Oliver , Eckardt Kai-Uwe , Forslund Sofia K. , Thürmer Andrea , McParland Victoria , Kirwan Jennifer A. , Wilck Nicola , Müller Dominik 
Published: January 2022

AbstractChronic kidney disease (CKD) is characterized by a sustained pro-inflammatory response. The underlying mechanisms are incompletely understood, but may be linked to gut dysbiosis. Dysbiosis has been described in adults with CKD; however, comorbidities limit CKD-specific conclusions. We analyzed the fecal microbiome, metabolites and immune phenotypes in children at three different CKD stages (G3-G4, G5 (hemodialysis), after kidney transplantation) and healthy controls. Serum TNF-α and sCD14 were stage-dependently elevated, indicating inflammation and gut barrier dysfunction. We observed microbiome alterations in CKD, including a diminished production of short-chain fatty acids. Bacterial tryptophan metabolites were increased in CKD. CKD serum activated the aryl hydrocarbon receptor and stimulated TNF-α production by monocytes, corresponding to a shift towards intermediate/non-classical monocytes. Unsupervised T cell analysis revealed pro-inflammatory shifts in MAIT and Treg cells. Thus, gut barrier dysfunction and microbial metabolites exacerbate inflammation and may therefore contribute to the increased cardiovascular burden in CKD.
The flavonoid nobiletin exhibits differential effects on cell viability in keratinocytes exposed to UVA versus UVB radiation
Authors: Cvammen William , Kemp Michael G. 
Published: January 2022

ABSTRACTThe polymethoxylated flavonoid nobiletin has been shown to suppress inflammatory responses to UVB radiation and to enhance circadian rhythms. Because expression of the core nucleotide excision repair (NER) factor XPA and the rate of removal of UV photoproducts from DNA are regulated by the circadian clock, we investigated whether the beneficial effects of nobiletin in UVB-exposed cells could be due in part to enhanced NER. Though nobiletin limited UVB-irradiated human keratinocytes from undergoing cell death, we found that this enhanced survival was not associated with increased NER or XPA expression. Instead, nobiletin reduced initial UV photoproduct formation and promoted a G1 cell cycle arrest. We then examined the implications of this findings for exposures to solar radiation through use of a solar simulated light (SSL) source that contains primarily UVA radiation. In striking contrast to the results obtained with UVB radiation, nobiletin instead sensitized keratinocytes to both the SSL and a more defined UVA light source. This enhanced cell death was correlated with a photochemical change in nobiletin absorption spectrum in the UVA range. We conclude that nobiletin is unlikely to be a useful compound for protecting keratinocytes against the harmful effects of solar UV radiation.
Benchmark of Differential Gene Expression Analysis Methods for Inter-species RNA-Seq Data using a Phylogenetic Simulation Framework
Authors: Bastide Paul , Soneson Charlotte , Lespinet Olivier , Gallopin Mélina 
Published: January 2022

AbstractInter-species RNA-Seq datasets are increasingly common, and have the potential to answer new questions on gene expression patterns across the evolution. Single species differential expression analysis is a now well studied problem, that benefits from sound statistical methods. Extensive reviews on biological or synthetic datasets have provided the community with a clear picture on the relative performances of the available tools in various settings. Such benchmarks are still missing in the inter-species gene expression context. In this work, we take a first step in this direction by developing and implementing a new simulation framework. This tool builds on both the RNA-Seq and the Phylogenetic Comparative Methods literatures to generate realistic count datasets, while taking into account the phylogenetic relationships between the samples. We illustrate the features of this new framework through a targeted simulation study, that reveals some of the strengths and weaknesses of both the classical and phylogenetic approaches for inter-species differential expression analysis. The tool has been integrated in the R package compcodeR freely available on Bioconductor.
Dissociation Protocols used for Sarcoma Tissues Bias the Transcriptome observed in Single-cell and Single-nucleus RNA sequencing
Authors: Truong Danh D. , Lamhamedi-Cherradi Salah-Eddine , Porter Robert W. , Krishnan Sandhya , Swaminathan Jyothishmathi , Gibson Amber , Lazar Alexander J. , Livingston John A. , Gopalakrishnan Vidya , Gordon Nancy , Daw Najat C. , Gorlick Richard , Ludwig Joseph A. 
Published: January 2022

AbstractBackgroundSingle-cell RNA-seq has emerged as an innovative technology used to study complex tissues and characterize cell types, states, and lineages at a single-cell level. Classification of bulk tumors by their individual cellular constituents has also created new opportunities to generate single-cell atlases for many organs, cancers, and developmental models. Despite the tremendous promise of this technology, recent evidence studying epithelial tissues and diverse carcinomas suggests the methods used for tissue processing, cell disaggregation, and preservation can significantly bias gene expression and alter the observed cell types. To determine whether sarcomas – tumors of mesenchymal origin – are subject to the same technical artifacts, we profiled patient-derived tumor explants (PDXs) propagated from three aggressive subtypes: osteosarcoma, Ewing sarcoma (ES), desmoplastic small round cell tumor (DSRCT). Given the rarity of these sarcoma subtypes, we explored whether single-nuclei RNA-seq from more widely available archival frozen specimens could accurately be identified by gene expression signatures linked to tissue phenotype or pathognomonic fusion proteins.ResultsWe systematically assessed dissociation methods across different sarcoma subtypes. We compared gene expression from single-cell and single-nucleus RNA-sequencing of 125,831 whole-cells and nuclei from ES, DSRCT, and osteosarcoma PDXs. We detected warm dissociation artifacts in single-cell samples and gene length bias in single-nucleus samples. Classic sarcoma gene signatures were observed regardless of dissociation method. In addition, we showed that dissociation method biases can be computationally corrected.ConclusionsWe highlighted transcriptional biases, including warm dissociation and gene-length biases, introduced by the dissociation method for various sarcoma subtypes. This work is the first to characterize how the dissociation methods used for sc/snRNA-seq may affect the interpretation of the molecular features in sarcoma PDXs.