A Nature-Inspired Ion Trap for Parallel Manipulation of Ions on a Massive Scale.

Conic provides a set of tools for building flexible distributed systems for embedded applications such as factory automation, telecommunications, process monitoring and control. The Conic programming language is used to program individual software modules which communicate by naming only local entry and exit ports. This gives configuration independence and allows reuse of the modules in various situations. A separate configuration language is used to specify a system by creating instances of modules and interconnecting exit and entry ports. The configuration language is also used to specify changes which can be performed dynamically without shutting down the complete system. These features of a Conic system provide the flexibility for adapting to changing requirements. The paper describes the Conic programming and configuration languages, as well as the run-time support needed for dynamic configuration. The paper also gives an overview of the Unix-based tools available for building and testing software for distributed target computers. Finally, we discuss experiences of using these tools and future work planned on the project.

Focus on Analytical Instruments

Recent Advances in Single-Cell Metabolomics Based on Mass Spectrometry

The present research paper describes the multiple entry and exit facility given in National Education Polity 2020. Higher education is the platform, where the youth can develop their expertise and become ready to contribute in the nation development. It is the role of higher education institution to provide the quality education to gain wisdom, to inculcate skills to become financial independent and to develop proper attitude to use this knowledge and skills for the betterment of the society. National Education Policy 2020 has been designed to bridge the gap between the current state of learning outcomes and the required learning outcomes. This policy is aligned with Sustainable Development Goal 4. There are some challenges while implementing multiple entry and exit policy such as designing curriculum and syllabus, controlling drop-out rate, storing and maintaining the records, coordinating with multiple higher education institutions, Multiple exits may create lack of assurance of continuity in learning. Beside these challenges, there are some opportunities also such as facility to utilize credits earned, flexibility in learning may encourage to get more learning experiences, enrich learning experiences, increase in inclusion in education.

基于质谱的蛋白质组学技术已经日趋成熟,可以对细胞和组织中的成千上万种蛋白质进行全面的定性和定量分析,逐步实现“深度覆盖”。随着生物医学日益增长的大队列蛋白质组学分析需求,如何在保持较为理想的覆盖深度下实现短时间、快速的“高通量”蛋白质组学分析已成为当前亟需解决的关键问题之一。常规的蛋白质组学分析流程通常包括样品前处理、色谱分离、质谱检测和数据分析。该文从以上4个方面展开介绍近10年以来高通量蛋白质组学分析技术取得的一系列研究进展,主要包括:(1)基于高通量、自动化移液工作站的蛋白质组样品前处理方法;(2)基于微升流速液相色谱与质谱联用的高通量蛋白质组检测方法;(3)利用灵敏度高、扫描速度快的质谱仪实现短色谱梯度分离下蛋白质组深度覆盖的分析方法;(4)基于人工智能、深度神经网络、机器学习等的蛋白质组学大数据分析方法。此外,对高通量蛋白质组学面临的挑战及其发展进行展望。总而言之,预期在不久的将来高通量蛋白质组学技术将会逐步“落地转化”,成为大队列蛋白质组学分析的利器。

The Intestinal Metabolome: An Intersection Between Microbiota and Host

Recently, metabolome analysis has been increasingly applied to biomarker detection and disease diagnosis in medical studies. Metabolome analysis is a strategy for studying the characteristics and interactions of low molecular weight metabolites under a specific set of conditions and is performed using mass spectrometry and nuclear magnetic resonance spectroscopy. There is a strong possibility that changes in metabolite levels reflect the functional status of a cell because alterations in their levels occur downstream of DNA, RNA, and protein. Therefore, the metabolite profile of a cell is more likely to represent the current status of a cell than DNA, RNA, or protein. Thus, owing to the rapid development of mass spectrometry analytical techniques metabolome analysis is becoming an important experimental method in life sciences including the medical field. Here, we describe metabolome analysis using liquid chromatography-mass spectrometry, gas chromatography-mass spectrometry (GC-MS), capillary electrophoresis-mass spectrometry, and matrix assisted laser desorption ionization-mass spectrometry. Then, the findings of studies about GC-MS-based metabolome analysis of gastroenterological diseases are summarized, and our research results are also introduced. Finally, we discuss the realization of disease diagnosis by metabolome analysis. The development of metabolome analysis using mass spectrometry will aid the discovery of novel biomarkers, hopefully leading to the early detection of various diseases.

Capillary RPLC/ESI-MS (cRPLC/ESI-MS) is one of the most powerful analytical tools for current proteomic research. The development of cRPLC techniques coupled online to a mass spectrometer has focused on increasing the separation efficiency, detection sensitivity, and throughput. Recently, the use of high-pressure (over 10,000 psi) LC systems that utilize long, small inner diameter capillary columns has gained much attention for proteomic analyses. In this study, we developed an ultrahigh-pressure dual online SPE/capillary RPLC (DO-SPE/cRPLC) system. This LC system employs two online SPE columns and two capillary columns (75 microm inner diameter x 1 m length) in a single separation system, and has a maximum operating pressure of 10,000 psi. This DO-SPE/cRPLC system is capable of providing high-resolution separation in addition to several other advantageous features, such as high reproducibility in terms of the LC retention time, rapid sample injection, online desalting, online sample enrichment of dilute samples, and increased throughput as a result of essentially removing the column equilibration time between successive experiments. We coupled the DO-SPE/cRPLC system online to a tandem mass spectrometer to allow high-throughput proteomic analyses. In this paper, we demonstrate the efficiency of this DO-SPE/cRPLC/MS/MS system by its use in the analyses of proteomic samples exhibiting different levels of complexity.

A nanostructured diamond-like carbon (DLC) coated digital versatile disk (DVD) target is presented as a matrix-free sample support for application in laser desorption/ionization mass spectrometry (LDI-MS). A large number of vacancies, defects, relative sp(2) carbon content, and nanogrooves of DLC films support the LDI phenomenon. The observed absorptivity of DLC is in the range of 305-330 nm (nitrogen laser, 337 nm). The universal applicability is demonstrated through different analytes like amino acids, carbohydrates, lipids, peptides, and other metabolites. Carbohydrates and amino acids are analyzed as sodium and potassium adducts. Peptides are detectable in their protonated forms, which avoid the extra need of additives for ionization. A bovine serum albumin (BSA) digest is analyzed to demonstrate the performance for peptide mixtures, coupled with the material-enhanced laser desorption/ionization (MELDI) approach. The detection limit of the described matrix-free target is investigated to be 10 fmol/microL for [Glu(1)]-fibrinopeptide B (m/z 1570.6) and 1 fmol/microL for L-sorbose (Na(+) adduct). The device does not require any chemical functionalization in contrast to other matrix-free systems. The inertness of DLC provides longer lifetimes without any deterioration in the detection sensitivity. Broad applicability allows high performance analysis in metabolomics and peptidomics. Furthermore the DLC coated DVD (1.4 GB) sample support is used as a storage device for measured and processed data together with sampling on a single device.

Western blotting is a powerful and widely used method, but limitations in detection sensitivity and specificity, and dependence upon high quality antibodies to detect targeted proteins, are hurdles to overcome. The in situ proximity ligation assay, based on dual antibody recognition and powerful localized signal amplification, offers increased detection sensitivity and specificity, along with an ability to identify complex targets such as phosphorylated or interacting proteins. Here we have applied the in situ proximity ligation assay mechanism in Western blotting. This combination allowed the use of isothermal rolling circle amplification of DNA molecules formed in target-specific ligation reaction, for 16-fold or greater increase in detection sensitivity. The increased specificity because of dual antibody recognition ensured highly selective assays, detecting the specific band when combinations of two cross-reactive antitubulin antibodies were used (i.e. both producing distinct nonspecific bands in traditional Western blotting). We also demonstrated detection of phosphorylated platelet-derived growth factor receptor β by proximity ligation with one antibody directed against the receptor and another directed against the phosphorylated tyrosine residue. This avoided the need for stripping and re-probing the membrane or aligning two separate traditional blots. We demonstrate that the high-performance in situ proximity ligation-based Western blotting described herein is compatible with detection via enhanced chemiluminescence and fluorescence detection systems, and can thus be readily employed in any laboratory.

Two methods of solid-phase Sanger DNA sequencing followed by detection with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry are demonstrated. In one method, sequencing ladders generated on an immobilized synthetic template were resolved up to the 63-mer including the primer. Detection sensitivity and resolution were sufficient for sequence analysis in the given range. This approach is particularly suitable for comparative (diagnostic) DNA sequencing. A second method that has the potential for high throughput de novo DNA sequencing is also presented; it uses immobilized duplex probes with five-base single-stranded overhangs to capture an unknown DNA template serving as primers for Sanger DNA sequencing. The power of mass spectrometry is demonstrated not only by its very high speed, but also by its ability to identify sequences that are not readable using gel electrophoresis.

BackgroundThe dry root and rhizome of Salvia miltiorrhiza Bunge, or Danshen, is a well-known, traditional Chinese medicine. Tanshinones are active compounds that accumulate in the periderm, resulting in red-colored roots. However, lines with orange roots have been observed in cultivated fields. Here, we performed metabolome and transcriptome analyses to investigate the changes of orange-rooted Danshen.MethodsMetabolome analysis was performed by ultra-high-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC/Q-Tof–MS) to investigate the metabolites variation between orange Danshen and normal Danshen. RNA sequencing and KEGG enrichment analysis were performed to analyzing the differentially expressed genes between orange-rooted and normal Danshen.ResultsIn total, 40 lipophilic components were detected in metabolome analysis, and seven compounds were significantly decreased in the orange Danshen, including the most abundant active compounds, tanshinone IIA and tanshinone I in normal Danshen. Systematic analysis of transcriptome profiles revealed that the down-regulated genes related to catalytic dehydrogenation was not detected. However, two genes related to stress resistance, and four genes related to endoplasmic reticulum (ER)-associated degradation of proteins were up-regulated in orange Danshen.ConclusionsDecreases in the content of dehydrogenated furan ring tanshinones such as tanshinone IIA resulted in phenotypic changes and quality degradation of Danshen. Transcriptome analysis indicated that incorrect folding and ER-associated degradation of corresponding enzymes, which could catalyze C15-C16 dehydrogenase, might be contributed to the decrease in dehydrogenated furan ring tanshinones, rather than lower expression of the relative genes. This limited dehydrogenation of cryptotanshinone and dihydrotanshinone I into tanshinones IIA and I products, respectively, led to a reduced quality of Danshen in cultivated fields.

Mass accuracy is a key parameter of mass spectrometric performance. TOF instruments can reach low parts per million, and FT-ICR instruments are capable of even greater accuracy provided ion numbers are well controlled. Here we demonstrate sub-ppm mass accuracy on a linear ion trap coupled via a radio frequency-only storage trap (C-trap) to the orbitrap mass spectrometer (LTQ Orbitrap). Prior to acquisition of a spectrum, a background ion originating from ambient air is first transferred to the C-trap. Ions forming the MS or MS(n) spectrum are then added to this species, and all ions are injected into the orbitrap for analysis. Real time recalibration on the "lock mass" by corrections of mass shift removes mass error associated with calibration of the mass scale. The remaining mass error is mainly due to imperfect peaks caused by weak signals and is addressed by averaging the mass measurement over the LC peak, weighted by signal intensity. For peptide database searches in proteomics, we introduce a variable mass tolerance and achieve average absolute mass deviations of 0.48 ppm (standard deviation 0.38 ppm) and maximal deviations of less than 2 ppm. For tandem mass spectra we demonstrate similarly high mass accuracy and discuss its impact on database searching. High and routine mass accuracy in a compact instrument will dramatically improve certainty of peptide and small molecule identification.

Since completion of the draft sequence of the human genome in 2000, the landscape of biomedical research has undergone a rapid transformation. Growing knowledge of genome structure and variation has spawned the development of technologies that allow researchers to study thousands of genes, transcripts, and proteins simultaneously. This has expanded biomedical science beyond reductionist approaches that test the function of individual genes to less biased approaches that study the behavior of many or all genes in homeostasis and disease. Such studies have been grouped under the broad label of functional genomics, which can be defined as the branch of biology that seeks to uncover the properties and function of the entirety of the genes and gene products of an organism.1 Functional genomics is fueling an explosion of new insights in biology and medicine, and many of these insights were completely unanticipated. Because these advances have begun to influence clinical practice,2,3 physicians will be expected to understand the potential uses and limitations of functional genomics in clinical settings. The purpose of this review is to provide a conceptual overview of functional genomics applied to the practice of cardiovascular medicine. We begin with a review of commonly used terms and approaches and then describe examples of their use for screening, diagnosis, and treatment selection in clinical cardiology. We also highlight emerging trends and speculate about where the field is headed in the near term. Although some predictions will be overly optimistic and some major advances unanticipated, we hope this review will help prepare cardiologists for their role in the application of genome science to the diagnosis and treatment of disease. This review is part of a series that introduces several related areas of cardiovascular genetics and genomics.4 We refer to these other contributions to guide further reading …

The onset of ulcerative colitis (UC) is characterized by a dysregulated mucosal immune response triggered by several genetic and environmental factors in the context of host–microbe interaction. This complexity makes UC ideal for metabolomic studies to unravel the disease pathobiology and to improve the patient stratification strategies. This study aims to explore the mucosal metabolomic profile in UC patients, and to define the UC metabolic signature. Treatment- naïve UC patients (n = 18), UC patients in deep remission (n = 10), and healthy volunteers (n = 14) were recruited. Mucosa biopsies were collected during colonoscopies. Metabolomic analysis was performed by combined gas chromatography coupled to time-of-flight mass spectrometry (GC-TOF-MS) and ultra-high performance liquid chromatography coupled with mass spectrometry (UHPLC-MS). In total, 177 metabolites from 50 metabolic pathways were identified. The most prominent metabolome changes among the study groups were in lysophosphatidylcholine, acyl carnitine, and amino acid profiles. Several pathways were found perturbed according to the integrated pathway analysis. These pathways ranged from amino acid metabolism (such as tryptophan metabolism) to fatty acid metabolism, namely linoleic and butyrate. These metabolic changes during UC reflect the homeostatic disturbance in the gut, and highlight the importance of system biology approaches to identify key drivers of pathogenesis which prerequisite personalized medicine.