Literature DB >> 26270786

Nano-LC in proteomics: recent advances and approaches.

Steven Ray Wilson1, Tore Vehus1, Henriette Sjaanes Berg1, Elsa Lundanes1.   

Abstract

In proteomics, nano-LC is arguably the most common tool for separating peptides/proteins prior to MS. The main advantage of nano-LC is enhanced sensitivity, as compounds enter the MS in more concentrated bands. This is particularly relevant for determining low abundant compounds in limited samples. Nano-LC columns can produce peak capacities of 1000 or more, and very narrow columns can be used to perform proteomics of 1000 cells or less. Also, nano-LC can be coupled with online add-ons such as selective trap columns or enzymatic reactors, for faster and more automated analysis. Nano-LC is today an established tool for research laboratories; but can nano-LC-based systems soon be ready for more routine settings, such as in clinics?

Mesh:

Year:  2015        PMID: 26270786     DOI: 10.4155/bio.15.92

Source DB:  PubMed          Journal:  Bioanalysis        ISSN: 1757-6180            Impact factor:   2.681


  17 in total

Review 1.  Nano-liquid chromatography-mass spectrometry and recent applications in omics investigations.

Authors:  Katherine L Sanders; James L Edwards
Journal:  Anal Methods       Date:  2020-09-09       Impact factor: 2.896

Review 2.  Recent advances and applications in LC-HRMS for food and plant natural products: a critical review.

Authors:  Cemil Aydoğan
Journal:  Anal Bioanal Chem       Date:  2020-01-07       Impact factor: 4.142

3.  Capillary Electrophoresis Coupled to Electrospray Ionization Tandem Mass Spectrometry for Ultra-Sensitive Proteomic Analysis of Limited Samples.

Authors:  Kendall R Johnson; Michal Greguš; James C Kostas; Alexander R Ivanov
Journal:  Anal Chem       Date:  2022-01-04       Impact factor: 6.986

4.  Trap column-based intact mass spectrometry for rapid and accurate evaluation of protein molecular weight.

Authors:  Gyu-Min Lim; Byung-Gee Kim; Hee-Jin Jeong
Journal:  RSC Adv       Date:  2022-05-24       Impact factor: 4.036

5.  Improved Sensitivity of Ultralow Flow LC-MS-Based Proteomic Profiling of Limited Samples Using Monolithic Capillary Columns and FAIMS Technology.

Authors:  Michal Greguš; James C Kostas; Somak Ray; Susan E Abbatiello; Alexander R Ivanov
Journal:  Anal Chem       Date:  2020-10-15       Impact factor: 6.986

6.  Improving the Sensitivity, Resolution, and Peak Capacity of Gradient Elution in Capillary Liquid Chromatography with Large-Volume Injections by Using Temperature-Assisted On-Column Solute Focusing.

Authors:  Rachael E Wilson; Stephen R Groskreutz; Stephen G Weber
Journal:  Anal Chem       Date:  2016-04-26       Impact factor: 6.986

Review 7.  Analysing the nanoparticle-protein corona for potential molecular target identification.

Authors:  Chandra Kumar Elechalawar; Md Nazir Hossen; Lacey McNally; Resham Bhattacharya; Priyabrata Mukherjee
Journal:  J Control Release       Date:  2020-03-09       Impact factor: 9.776

8.  Ultra-fast proteomics with Scanning SWATH.

Authors:  Christoph B Messner; Vadim Demichev; Nic Bloomfield; Jason S L Yu; Matthew White; Marco Kreidl; Anna-Sophia Egger; Anja Freiwald; Gordana Ivosev; Fras Wasim; Aleksej Zelezniak; Linda Jürgens; Norbert Suttorp; Leif Erik Sander; Florian Kurth; Kathryn S Lilley; Michael Mülleder; Stephen Tate; Markus Ralser
Journal:  Nat Biotechnol       Date:  2021-03-25       Impact factor: 54.908

9.  Versatile, sensitive liquid chromatography mass spectrometry - Implementation of 10 μm OT columns suitable for small molecules, peptides and proteins.

Authors:  T Vehus; H Roberg-Larsen; J Waaler; S Aslaksen; S Krauss; S R Wilson; E Lundanes
Journal:  Sci Rep       Date:  2016-11-29       Impact factor: 4.379

10.  Proteomics tools reveal startlingly high amounts of oxytocin in plasma and serum.

Authors:  Ole Kristian Brandtzaeg; Elin Johnsen; Hanne Roberg-Larsen; Knut Fredrik Seip; Evan L MacLean; Laurence R Gesquiere; Siri Leknes; Elsa Lundanes; Steven Ray Wilson
Journal:  Sci Rep       Date:  2016-08-16       Impact factor: 4.379

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