Library dependent LC-MS/MS acquisition via mzAPI/Live.

Proteomics

Department of Cancer Biology and Blais Proteomics Center, Dana-Farber Cancer Institute, Boston, MA 02215-5450, USA.

Published: May 2013


Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

The use of MS for characterization of small molecules, nucleotides, and proteins in model organisms as well as primary tissues and clinical samples continues to proliferate at a rapid pace. The complexity and dynamic range of target analytes in biological systems hinders comprehensive analysis and simultaneously drives improvements in instrument hardware and software. As a result, state-of-the-art commercial mass spectrometers are equipped with sophisticated embedded control systems that provide robust acquisition methods accessed through intuitive graphical interfaces. Although optimized for speed, these preconfigured scan functions are otherwise closed to end-user customization beyond simple, analytical-centric parameters supplied by the manufacturer. Here, we present an open-source framework (mzAPI/Live) that enables users to generate arbitrarily complex LC-MS(n) acquisition methods via simple Python scripting. As a powerful proof-of-concept, we demonstrate real-time assignment of tandem mass spectra through rapid query of NIST peptide libraries. This represents an unprecedented capability to make acquisition decisions based on knowledge of analyte structures determined during the run itself, thus providing a path toward biology-driven MS data acquisition for the broader community.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3779148PMC
http://dx.doi.org/10.1002/pmic.201200583DOI Listing

Publication Analysis

Top Keywords

acquisition methods
8
acquisition
5
library dependent
4
dependent lc-ms/ms
4
lc-ms/ms acquisition
4
acquisition mzapi/live
4
mzapi/live characterization
4
characterization small
4
small molecules
4
molecules nucleotides
4

Similar Publications

A method for determination of ten kinds of sweeteners in soybean products by multi-plug filtration cleanup (-PFC) combined with ultra-high-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) was established. The sample was extracted with acetonitrile (containing 1% formic acid), degreased by using -hexane liquid-liquid extraction and purified by solid phase extraction using an -PFC column (Oasis PRiME HLB). The analytes were separated by using a Waters ACQUITY UPLC® BEH C (2.

View Article and Find Full Text PDF

Trichoderma species exhibit remarkable versatility in adaptability and in occupying habitats with lifestyles ranging from mycoparasitism and saprotrophy to endophytism. In this study, we present the first high-quality whole-genome assembly and annotation of T. lixii using Illumina HiSeq technology to explore the mechanisms of endophytic lifestyle and plant colonization.

View Article and Find Full Text PDF

Aims: Cardiac tumors are aggressive and asymptomatic in early stages, causing late diagnosis and locoregional metastasis. Currently, the standard of care uses gadolinium-based contrast agents for MRI, and the associated hypersensitivity reactions are a significant concern, such as gadolinium deposition disease. In addition, the proximity of cardiac lesions closer to vital structures complicates surgical interventions.

View Article and Find Full Text PDF

Background: Conventional automated writing evaluation systems typically provide insufficient support for students with special needs, especially in tonal language acquisition such as Chinese, primarily because of rigid feedback mechanisms and limited customisation.

Objective: This research develops context-aware Hierarchical AI Tutor for Writing Enhancement(CHATWELL), an intelligent tutoring platform that incorporates optimised large language models to deliver instantaneous, customised, and multi-dimensional writing assistance for Chinese language learners, with special consideration for those with cognitive learning barriers.

Methods: CHATWELL employs a hierarchical AI framework with a four-tier feedback mechanism designed to accommodate diverse learning needs.

View Article and Find Full Text PDF

Introduction: Modern orthopaedic residency training increasingly integrates knowledge, skills, and behavior (KSB), in line with updated American Board of Orthopaedic Surgery (ABOS) and Accreditation Council for Graduate Medical Education (ACGME) guidelines. Developments in simulation technology-including high-fidelity simulators, virtual reality, and data-driven assessment tools-enable programs to target both technical and non-technical competencies. This paper examines how innovations in simulation, curriculum design, and performance assessment are shaping the future of orthopaedic education.

View Article and Find Full Text PDF