Evidence map›Paper›PMID 33755420›Full record

ArticleBiochemistry2021

Stable Picodisc Assemblies from Saposin Proteins and Branched Detergents.

Kathleen W Kurgan, Bifan Chen, Kyle A Brown, Paulo Falco Cobra, Xinyu Ye, Ying Ge, Samuel H Gellman

Abstract read
In one paragraph

Article in Biochemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Human Saposin B Ligand Binding and Presentation to α-Galactosidase A.bioRxiv : the preprint server for biology · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Kathleen W KurganORCID 0000-0002-0621-9535
Kyle A Brown
Paulo Falco Cobra
Xinyu Ye

Funding

WATER DISTRIB:PHYSICAL PROPERT:PIZZA &LMPS MOZZARELLA CHEESES:EARLY STAGE MATURP41RR002301 · NCRR · UNIVERSITY OF WISCONSIN-MADISON · PI MARKLEY, JOHN LUTE · 1985 to 2011
$13.0M
Training Program in Translational Cardiovascular Science (TPTCS)T32HL007936 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI Lee Lochbaum Eckhardt, Gail A Robertson · 2001 to 2026
$11.6M
TR&D 3: TECHNOLOGY DEVELOPMENT FOR NMR STUDIES OF SMALL MOLECULES (METABOLOMICS, NATURAL PRODUCTS, METABOLITE-PROTEIN INTERACTIONS) pp.537-585 P41GM103399 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI BUTCHER, SAMUEL E · 2012 to 2019
$9.4M
Use of designed peptides to study folding and bindingR01GM061238 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI GELLMAN, SAMUEL H. · 2000 to 2023
$7.9M
Enabling Top-Down Proteomics through Materials Chemistry and NanotechnologyR01GM117058 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI GE, YING, JIN, SONG · 2015 to 2023
$2.7M
Vascular Surgery Research Training ProgramT32HL110853 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI MATSUMURA, JON STEVEN · 2012 to 2021
$2.6M
A Large-area Pixel Array Detector System for Macromolecular CrystallographyS10RR028438 · NCRR · STANFORD UNIVERSITY · PI WEIS, WILLIAM I · 2010 to 2010
$2.1M
Integrated state-of-the-art LC-MS/NMR system for the University of WisconsinS10RR025062 · NCRR · UNIVERSITY OF WISCONSIN-MADISON · PI MARKLEY, JOHN LUTE · 2008 to 2008
$1.7M
MASH Explorer, a Comprehensive Software Environment for Top-Down ProteomicsR01GM125085 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI GE, YING · 2018 to 2021
$1.2M
Upgrade of the NMRFAM 750 MHz NMR SpectrometerS10RR029220 · NCRR · UNIVERSITY OF WISCONSIN-MADISON · PI MARKLEY, JOHN LUTE · 2010 to 2010
$766k
NMR Spectrometer System Optimized for Direct 13C or 15N DetectionS10RR023438 · NCRR · UNIVERSITY OF WISCONSIN-MADISON · PI MARKLEY, JOHN LUTE · 2008 to 2008
$500k
CONSOLE UPGRADES FOR NMR FACILITYS10RR008438 · NCRR · UNIVERSITY OF WISCONSIN MADISON · PI MARKLEY, JOHN L · 1993 to 1993
–
NCRR NIH HHS P41 RR002301NCRR NIH HHS S10 RR002781NCRR NIH HHS S10 RR008438NCRR NIH HHS S10 RR023438NCRR NIH HHS S10 RR025062NCRR NIH HHS S10 RR028438NCRR NIH HHS S10 RR029220NHLBI NIH HHS T32 HL007936NHLBI NIH HHS T32 HL110853NIGMS NIH HHS P41 GM103399NIGMS NIH HHS R01 GM061238NIGMS NIH HHS R01 GM117058NIGMS NIH HHS R01 GM125085
6 · The paper itself

Abstract

Methods for maintaining membrane proteins in their native state after removal from the lipid bilayer are essential for the study of this important class of biomacromolecules. Common solubilization strategies range from the use of detergents to more complex systems that involve a polypeptide working in concert with lipids or detergents, such as nanodiscs, picodiscs, and peptidiscs, in which an engineered protein or synthetic peptide surrounds the membrane protein along with a lipid sheath. Picodiscs employ the protein saposin A, which naturally functions to facilitate lipid degradation in the lysozome. Saposin A-amphiphile complexes therefore tend to be most stable at acidic pH, which is not optimal for most membrane protein applications. In search of new picodisc assemblies, we have explored pairings of saposin A or other saposin proteins with a range of detergents, and we have identified a number of combinations that spontaneously co-assemble at neutral pH. The resulting picodiscs are stable for weeks and have been characterized by size-exclusion chromatography, native mass spectrometry, and small angle X-ray scattering. The new assemblies are formed by double-tail detergents rather than more traditional single-tail detergents; the double-tail detergents can be seen as structurally intermediate between single-tail detergents and common lipids. In addition to saposin A, an engineered variant of saposin B (designated saposin B

Indexed as

DetergentsSaposinsHydrogen-Ion ConcentrationLipid BilayersProtein StabilityScattering, Small AngleSolubilityDetergentsLipid BilayersSaposins

Identifiers

PMID33755420
PMCPMC8044043

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.