BioNMR
NMR aggregator & online community since 2003
BioNMR    
Learn or help to learn NMR - get free NMR books!
 

Go Back   BioNMR > Educational resources > Journal club
Advanced Search
Home Forums Wiki NMR feeds Downloads Register Today's Posts



Jobs Groups Conferences Literature Pulse sequences Software forums Programs Sample preps Web resources BioNMR issues


Webservers
NMR processing:
MDD
NMR assignment:
Backbone:
Autoassign
MARS
UNIO Match
PINE
Side-chains:
UNIO ATNOS-Ascan
NOEs:
UNIO ATNOS-Candid
UNIO Candid
ASDP
Structure from NMR restraints:
Ab initio:
GeNMR
Cyana
XPLOR-NIH
ASDP
UNIO ATNOS-Candid
UNIO Candid
Fragment-based:
BMRB CS-Rosetta
Rosetta-NMR (Robetta)
Template-based:
GeNMR
I-TASSER
Refinement:
Amber
Structure from chemical shifts:
Fragment-based:
WeNMR CS-Rosetta
BMRB CS-Rosetta
Homology-based:
CS23D
Simshift
Torsion angles from chemical shifts:
Preditor
TALOS
Promega- Proline
Secondary structure from chemical shifts:
CSI (via RCI server)
TALOS
MICS caps, β-turns
d2D
PECAN
Flexibility from chemical shifts:
RCI
Interactions from chemical shifts:
HADDOCK
Chemical shifts re-referencing:
Shiftcor
UNIO Shiftinspector
LACS
CheckShift
RefDB
NMR model quality:
NOEs, other restraints:
PROSESS
PSVS
RPF scores
iCing
Chemical shifts:
PROSESS
CheShift2
Vasco
iCing
RDCs:
DC
Anisofit
Pseudocontact shifts:
Anisofit
Protein geomtery:
Resolution-by-Proxy
PROSESS
What-If
iCing
PSVS
MolProbity
SAVES2 or SAVES4
Vadar
Prosa
ProQ
MetaMQAPII
PSQS
Eval123D
STAN
Ramachandran Plot
Rampage
ERRAT
Verify_3D
Harmony
Quality Control Check
NMR spectrum prediction:
FANDAS
MestReS
V-NMR
Flexibility from structure:
Backbone S2
Methyl S2
B-factor
Molecular dynamics:
Gromacs
Amber
Antechamber
Chemical shifts prediction:
From structure:
Shiftx2
Sparta+
Camshift
CH3shift- Methyl
ArShift- Aromatic
ShiftS
Proshift
PPM
CheShift-2- Cα
From sequence:
Shifty
Camcoil
Poulsen_rc_CS
Disordered proteins:
MAXOCC
Format conversion & validation:
CCPN
From NMR-STAR 3.1
Validate NMR-STAR 3.1
NMR sample preparation:
Protein disorder:
DisMeta
Protein solubility:
camLILA
ccSOL
Camfold
camGroEL
Zyggregator
Isotope labeling:
UPLABEL
Solid-state NMR:
sedNMR


Reply
Thread Tools Search this Thread Rate Thread Display Modes
  #1  
Unread 07-03-2021, 08:12 PM
nmrlearner's Avatar
Senior Member
 
Join Date: Jan 2005
Posts: 23,187
Points: 193,617, Level: 100
Points: 193,617, Level: 100 Points: 193,617, Level: 100 Points: 193,617, Level: 100
Level up: 0%, 0 Points needed
Level up: 0% Level up: 0% Level up: 0%
Activity: 50.7%
Activity: 50.7% Activity: 50.7% Activity: 50.7%
Last Achievements
Award-Showcase
NMR Credits: 0
NMR Points: 193,617
Downloads: 0
Uploads: 0
Default Extensively sparse 13C labeling to simplify solid-state NMR 13C spectra of membrane proteins

Extensively sparse 13C labeling to simplify solid-state NMR 13C spectra of membrane proteins

Abstract

Solid-state Nuclear Magnetic Resonance (ssNMR) is an emerging technique to investigate the structures and dynamics of membrane proteins in an artificial or native membrane environment. However, the structural studies of proteins by ssNMR are usually prolonged or impeded by signal assignments, especially the assignments of signals for collection of distance restraints, because of serious overlapping of signals in 2D 13Câ??13C spectra. Sparse labeling of 13C spins is an effective approach to simplify the 13C spectra and facilitate the extractions of distance restraints. Here, we propose a new reverse labeling combination of six types of amino acid residues (Ile, Leu, Phe, Trp, Tyr and Lys), and show a clean reverse labeling effect on a model membrane protein E. coli aquaporin Z (AqpZ). We further combine this reverse labeling combination and alternate 13Câ??12C labeling, and demonstrate an enhanced dilution effect in 13Câ??13C spectra. In addition, the influences of reverse labeling on the labeling of the other types of residues are quantitatively analyzed in the two strategies (1, reverse labeling and 2, reverse labeling combining alternate 13Câ??12C labeling). The signal intensities of some other types of residues in 2D 13Câ??13C spectra are observed to be 20â??50% weaker because of the unwanted reverse labeling. The extensively sparse 13C labeling proposed in this study is expected to be useful in the collection of distance restraints using 2D 13Câ??13C spectra of membrane proteins.



Source: Journal of Biomolecular NMR
Reply With Quote


Did you find this post helpful? Yes | No

Reply
Similar Threads
Thread Thread Starter Forum Replies Last Post
[NMR paper] Isotope Labeling of Eukaryotic Membrane Proteins in Yeast for Solid-State NMR.
Isotope Labeling of Eukaryotic Membrane Proteins in Yeast for Solid-State NMR. Related Articles Isotope Labeling of Eukaryotic Membrane Proteins in Yeast for Solid-State NMR. Methods Enzymol. 2015;565:193-212 Authors: Fan Y, Emami S, Munro R, Ladizhansky V, Brown LS Abstract Solid-state NMR (ssNMR) is a rapidly developing technique for exploring structure and dynamics of membrane proteins, but its progress is hampered by its low sensitivity. Despite the latest technological advances, routine ssNMR experiments still require...
nmrlearner Journal club 0 11-19-2015 05:22 PM
[NMR paper] Efficient cellular solid-state NMR of membrane proteins by targeted protein labeling.
Efficient cellular solid-state NMR of membrane proteins by targeted protein labeling. Related Articles Efficient cellular solid-state NMR of membrane proteins by targeted protein labeling. J Biomol NMR. 2015 May 9; Authors: Baker LA, Daniëls M, van der Cruijsen EA, Folkers GE, Baldus M Abstract Solid-state NMR spectroscopy (ssNMR) has made significant progress towards the study of membrane proteins in their native cellular membranes. However, reduced spectroscopic sensitivity and high background signal levels can complicate these...
nmrlearner Journal club 0 05-10-2015 07:49 PM
Efficient cellular solid-state NMR of membrane proteins by targeted protein labeling
Efficient cellular solid-state NMR of membrane proteins by targeted protein labeling Abstract Solid-state NMR spectroscopy (ssNMR) has made significant progress towards the study of membrane proteins in their native cellular membranes. However, reduced spectroscopic sensitivity and high background signal levels can complicate these experiments. Here, we describe a method for ssNMR to specifically label a single protein by repressing endogenous protein expression with rifampicin. Our results demonstrate that treatment of E. coli with rifampicin during...
nmrlearner Journal club 0 05-08-2015 09:18 PM
Simplifying Solid-State NMR Spectra for Biophysical Studies on Membrane Proteins: Selective Targeting of Sites and Interactions
Simplifying Solid-State NMR Spectra for Biophysical Studies on Membrane Proteins: Selective Targeting of Sites and Interactions Publication date: 20 May 2014 Source:Biophysical Journal, Volume 106, Issue 10</br> Author(s): Daniel Huster , Perunthiruthy*K. Madhu</br> </br></br> </br></br> More...
nmrlearner Journal club 0 05-21-2014 11:52 AM
[NMR paper] Combination of (15)N reverse labeling and afterglow spectroscopy for assigning membrane protein spectra by magic-angle-spinning solid-state NMR: application to the multidrug resistance protein EmrE.
Combination of (15)N reverse labeling and afterglow spectroscopy for assigning membrane protein spectra by magic-angle-spinning solid-state NMR: application to the multidrug resistance protein EmrE. Related Articles Combination of (15)N reverse labeling and afterglow spectroscopy for assigning membrane protein spectra by magic-angle-spinning solid-state NMR: application to the multidrug resistance protein EmrE. J Biomol NMR. 2013 Mar 29; Authors: Banigan JR, Gayen A, Traaseth NJ Abstract Magic-angle-spinning (MAS) solid-state NMR...
nmrlearner Journal club 0 03-30-2013 12:59 PM
Optimization of amino acid type-specific (13)C and (15)N labeling for the backbone assignment of membrane proteins by solution- and solid-state NMR with the UPLABEL algorithm.
Optimization of amino acid type-specific (13)C and (15)N labeling for the backbone assignment of membrane proteins by solution- and solid-state NMR with the UPLABEL algorithm. Optimization of amino acid type-specific (13)C and (15)N labeling for the backbone assignment of membrane proteins by solution- and solid-state NMR with the UPLABEL algorithm. J Biomol NMR. 2010 Dec 18; Authors: Hefke F, Bagaria A, Reckel S, Ullrich SJ, Dötsch V, Glaubitz C, Güntert P We present a computational method for finding optimal labeling patterns for the backbone...
nmrlearner Journal club 0 12-21-2010 01:00 PM
Optimization of amino acid type-specific 13C and 15N labeling for the backbone assignment of membrane proteins by solution- and solid-state NMR with the UPLABEL algorithm
Optimization of amino acid type-specific 13C and 15N labeling for the backbone assignment of membrane proteins by solution- and solid-state NMR with the UPLABEL algorithm Abstract We present a computational method for finding optimal labeling patterns for the backbone assignment of membrane proteins and other large proteins that cannot be assigned by conventional strategies. Following the approach of Kainosho and Tsuji (Biochemistry 21:6273â??6279 (1982)), types of amino acids are labeled with 13C or/and 15N such that cross peaks between 13CO(i â?? 1) and 15NH(i) result only for pairs...
nmrlearner Journal club 0 12-21-2010 02:14 AM
High Resolution 1H Detected 1H,13C Correlation Spectra in MAS Solid-State NMR using Deuterated Proteins with Selective 1H,2H Isotopic Labeling of Methyl Groups
High Resolution <SUP>1</SUP>H Detected <SUP>1</SUP>H,<SUP>13</SUP>C Correlation Spectra in MAS Solid-State NMR using Deuterated Proteins with Selective <SUP>1</SUP>H,<SUP>2</SUP>H Isotopic Labeling of Methyl Groups Vipin Agarwal, Anne Diehl, Nikolai Skrynnikov, and Bernd Reif J. Am. Chem. Soc.; 2006; 128(39) pp 12620 - 12621; Abstract: MAS solid-state NMR experiments applied to biological solids are still hampered by low sensitivity and resolution. In this work, we employ a deuteration scheme in which individual methyl groups are selectively protonated. This labeling scheme...
administrator Solid-state high-res. NMR 1 08-05-2009 03:21 AM



Posting Rules
You may not post new threads
You may not post replies
You may not post attachments
You may not edit your posts

BB code is On
Smilies are On
[IMG] code is On
HTML code is On
Trackbacks are Off
Pingbacks are Off
Refbacks are Off



BioNMR advertisements to pay for website hosting and domain registration. Nobody does it for us.



Powered by vBulletin® Version 3.7.3
Copyright ©2000 - 2024, Jelsoft Enterprises Ltd.
Copyright, BioNMR.com, 2003-2013
Search Engine Friendly URLs by vBSEO 3.6.0

All times are GMT. The time now is 02:36 AM.


Map