Phase labeling of C−H and C−C spin-system topologies: Application in PFG-HACANH and PFG-HACA(CO)NH triple-resonance experiments for determining backbone resonance assignments in proteins

Summary Triple-resonance experiments can be designed to provide useful information on spin-system topologies. In this paper we demonstrate optimized proton and carbon versions of PFG-CT-HACANH and PFG-CT-HACA(CO)NH straight-through triple-resonance experiments that allow rapid and almost complete assignments of backbone H, ¹³C, ¹⁵N and H^N resonances in small proteins. This work provides a practical guide to using these experiments for determining resonance assignments in proteins, and for identifying both intraresidue and sequential connections involving glycine residues. Two types of delay tunings within these pulse sequences provide phase discrimination of backbone Gly C and H resonances: (i) C–H phase discrimination by tuning of the refocusing period _{a_f}; (ii) C–C phase discrimination by tuning of the ¹³C constant-time evolution period 2T_c. For small proteins, C–C phase tuning provides better S/N ratios in PFG-CT-HACANH experiments while C–H phase tuning provides better S/N ratios in PFG-CT-HACA(CO)NH. These same principles can also be applied to triple-resonance experiments utilizing ¹³C-¹³C COSY and TOCSY transfer from peripheral side-chain atoms with detection of backbone amide protons for classification of side-chain spin-system topologies. Such data are valuable in algorithms for automated analysis of resonance assignments in proteins.     

High-Throughput Cryo-EM Enabled by User-Free Preprocessing Routines

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TREEasy: An automated workflow to infer gene trees,species trees,and phylogenetic networks from multilocus data

Multilocus genomic data sets can be used to infer a rich set of information about the evolutionary history of a lineage, including gene trees, species trees, and phylogenetic networks. However, user‐friendly tools to run such integrated analyses are lacking, and workflows often require tedious reformatting and handling time to shepherd data through a series of individual programs. Here, we present a tool written in Python—TREEasy—that performs automated sequence alignment (with MAFFT), gene tree inference (with IQ‐Tree), species inference from concatenated data (with IQ‐Tree and RaxML‐NG), species tree inference from gene trees (with ASTRAL, MP‐EST, and STELLS2), and phylogenetic network inference (with SNaQ and PhyloNet). The tool only requires FASTA files and nine parameters as inputs. The tool can be run as command line or through a Graphical User Interface (GUI). As examples, we reproduced a recent analysis of staghorn coral evolution, and performed a new analysis on the evolution of the “WGD clade” of yeast. The latter revealed novel patterns that were not identified by previous analyses. TREEasy represents a reliable and simple tool to accelerate research in systematic biology ( https://github.com/MaoYafei/TREEasy ).     

A practical guide to amplicon and metagenomic analysis of microbiome data

Advances in high-throughput sequencing(HTS)have fostered rapid developments in the field of microbiome research,and massive microbiome datasets are now being generated.However,the diversity of software tools and the complexity of analysis pipelines make it difficult to access this field.Here,we systematically summarize the advantages and limitations of micro-biome methods.Then,we recommend specific pipelines for amplicon and metagenomic analyses,and describe commonly-used software and databases,to help researchers select the appropriate tools.Furthermore,we introduce statistical and visualization methods suit-able for microbiome analysis,including alpha-and beta-diversity,taxonomic composition,difference compar-isons,correlation,networks,machine learning,evolu-tion,source tracing,and common visualization styles to help researchers make informed choices.Finally,a step-by-step reproducible analysis guide is introduced.We hope this review will allow researchers to carry out data analysis more effectively and to quickly select the appropriate tools in order to efficiently mine the bio-logical significance behind the data.     

自动乳腺全容积扫描联合乳腺钼靶摄影在乳腺疾病诊断中的价值

目的：探讨自动乳腺全容积扫描（automated breast volume scanner,ABVS）联合乳腺钼靶摄影在乳腺疾病诊断中的价值。方法：观察随访130例就诊我科的乳腺疾病患者,进行ABVS、传统超声和乳腺钼靶检查。结果：130例患者中ABVS的疾病单独诊断准确率为91．5％（119／130）,传统乳腺超声的单独诊断准确率为84．6％（110／130）,乳腺钼靶的单独诊断准确率为86．9％（113／130）,而ABVS联合乳腺钼靶应用的诊断准确率为95．4％（124／130）,明显优于两者单独应用,差异具有统计学意义（P〈0．05）。结论：ABVS是一种全新的乳腺检查方法,较传统乳腺超声、乳腺钼靶具有较高的疾病诊断准确率,而ABVS联合乳腺钼靶可以显著提高诊断的准确率,值得在临床推广。     

Strategies for rare-event detection: an approach for automated fetal cell detection in maternal blood.

This article explores the feasibility of the use of automated microscopy and image analysis to detect the presence of rare fetal nucleated red blood cells (NRBCs) circulating in maternal blood. The rationales for enrichment and for automated image analysis for "rare-event" detection are reviewed. We also describe the application of automated image analysis to 42 maternal blood samples, using a protocol consisting of one-step enrichment followed by immunocytochemical staining for fetal hemoglobin (HbF) and FISH for X- and Y-chromosomal sequences. Automated image analysis consisted of multimode microscopy and subsequent visual evaluation of image memories containing the selected objects. The FISH results were compared with the results of conventional karyotyping of the chorionic villi. By use of manual screening, 43% of the slides were found to be positive (>=1 NRBC), with a mean number of 11 NRBCs (range 1-40). By automated microscopy, 52% were positive, with on average 17 NRBCs (range 1-111). There was a good correlation between both manual and automated screening, but the NRBC yield from automated image analysis was found to be superior to that from manual screening (P=.0443), particularly when the NRBC count was >15. Seven (64%) of 11 XY fetuses were correctly diagnosed by FISH analysis of automatically detected cells, and all discrepancies were restricted to the lower cell-count range. We believe that automated microscopy and image analysis reduce the screening workload, are more sensitive than manual evaluation, and can be used to detect rare HbF-containing NRBCs in maternal blood.     

Bushmeat genetics: setting up a reference framework for the DNA typing of African forest bushmeat

The bushmeat trade in tropical Africa represents illegal, unsustainable off‐takes of millions of tons of wild game – mostly mammals – per year. We sequenced four mitochondrial gene fragments (cyt b, COI, 12S, 16S) in >300 bushmeat items representing nine mammalian orders and 59 morphological species from five western and central African countries (Guinea, Ghana, Nigeria, Cameroon and Equatorial Guinea). Our objectives were to assess the efficiency of cross‐species PCR amplification and to evaluate the usefulness of our multilocus approach for reliable bushmeat species identification. We provide a straightforward amplification protocol using a single ‘universal’ primer pair per gene that generally yielded >90% PCR success rates across orders and was robust to different types of meat preprocessing and DNA extraction protocols. For taxonomic identification, we set up a decision pipeline combining similarity‐ and tree‐based approaches with an assessment of taxonomic expertise and coverage of the GENBANK database. Our multilocus approach permitted us to: (i) adjust for existing taxonomic gaps in GENBANK databases, (ii) assign to the species level 67% of the morphological species hypotheses and (iii) successfully identify samples with uncertain taxonomic attribution (preprocessed carcasses and cryptic lineages). High levels of genetic polymorphism across genes and taxa, together with the excellent resolution observed among species‐level clusters (neighbour‐joining trees and Klee diagrams) advocate the usefulness of our markers for bushmeat DNA typing. We formalize our DNA typing decision pipeline through an expert‐curated query database – DNAbushmeat – that shall permit the automated identification of African forest bushmeat items.     

Chronic L‐DOPA induces hyperactivity,normalization of gait and dyskinetic behavior in MitoPark mice

Dopamine (DA) replacement therapy continues to be the gold standard treatment for Parkinson's disease (PD), as it improves key motor symptoms including bradykinesia and gait disturbances. With time, treatment induces side effects in the majority of patients, known as L‐DOPA‐induced dyskinesia (LID), which are often studied in animals by the use of unilateral, toxin‐induced rodent models. In this study, we used the progressive, genetic PD model MitoPark to specifically evaluate bilateral changes in motor behavior following long‐term L‐DOPA treatment at three different stages of striatal DA depletion. Besides locomotor activity, we assessed changes in gait with two automated gait analysis systems and the development of dyskinetic behavior. Long‐term treatment with a moderate, clinically relevant dose of L‐DOPA (8 mg/kg) gradually produced age‐dependent hyperactivity in MitoPark mice. In voluntary and forced gait analyses, we show that MitoPark mice with severe DA depletion have distinct gait characteristics, which are normalized to control levels following long‐term L‐DOPA treatment. The cylinder test showed an age‐dependent and gradual development of bilateral LID. Significant increase in striatal FosB and prodynorphin expression was found to accompany the behavior changes. Taken together, we report that MitoPark mice model both behavioral and biochemical characteristics of long‐term L‐DOPA treatment in PD patients and provide a novel, consistent and progressive animal model of dyskinesia to aid in the discovery and evaluation of better treatment options to counteract LID.     

The DiversiLab system versus pulsed-field gel electrophoresis: Characterisation of extended spectrum β-lactamase producing Escherichia coli and Klebsiella pneumoniae

Fast and reliable epidemiological typing methods for identifying outbreaks and epidemic strains of extended spectrum β-lactamase (ESBL) producing Enterobacteriaceae are urgently needed. The DiversiLab system (DL) has been proposed for these purposes. We compared DL to pulsed-field gel electrophoresis (PFGE) on a national collection of ESBL-producing Escherichia coli (n = 258; of which 226 isolates were typeable with PFGE) and Klebsiella pneumoniae (n = 48) isolated in 2007. For E. coli the Wallace coefficients showed that the probability of two isolates of the same DL type having the same PFGE type was only 19.8% and the probability of two isolates of the same PFGE type having the same DL type was 90.4%. For K. pneumoniae the Wallace coefficients showed that the probability of two isolates of the same DL type having the same PFGE type was 100% and the probability of two isolates of the same PFGE type having the same DL type was 79%, indicating that for this K. pneumoniae strain collection DL was slightly more discriminatory. Only four of 48 isolates had discordant results with the two methods. In E. coli 42% of the isolates were sequence type 131 and these isolates were related at > 95% similarity with DL and at ≥ 60% similarity with PFGE. In summary, for E. coli DL performed well in identifying isolates related by PFGE, but overestimated the genetic relatedness in the studied collection. This indicates that DL could be a primary screening method for excluding unrelated isolates. Isolates shown to be related must be confirmed with a more discriminatory method. For K. pneumoniae, DL discriminated well but overestimated the diversity of the isolates compared to PFGE, assuming a risk of missing possible genetic relatedness.     

Selective separation and enrichment of peptides for MS analysis using the microspheres composed of Fe3O4@nSiO2 core and perpendicularly aligned mesoporous SiO2 shell

In this work, we report the development of a novel enrichment protocol for peptides by using the microspheres composed of Fe₃O₄@nSiO₂ Core and perpendicularly aligned mesoporous SiO₂ shell (designated Fe₃O₄@nSiO₂@mSiO₂). The Fe₃O₄@nSiO₂@mSiO₂ microspheres possess useful magnetic responsivity which makes the process of enrichment fast and convenient. The highly ordered nanoscale pores (2 nm) and high‐surface areas of the microspheres were demonstrated to have good size‐exclusion effect for the adsorption of peptides. An increase of S/N ratio over 100 times could be achieved by using the microspheres to enrich a standard peptide, and the application of the microspheres to enrich universal peptides was performed by using myoglobin tryptic digest solution. The enrichment efficiency of re‐used Fe₃O₄@nSiO₂@mSiO₂ microspheres was also studied. Large‐scale enrichment of endogenous peptides in rat brain extract was achieved by the microspheres. Automated nano‐LC‐ESI‐MS/MS was applied to analyze the sample after enrichment, and 60 unique peptides were identified in total. The facile and low‐cost synthesis as well as the convenient and efficient enrichment process of the novel Fe₃O₄@nSiO₂@mSiO₂ microspheres makes it a promising candidate for selectively isolation and enrichment of endogenous peptides from complex biological samples.