Back

PEPTERGENT: A Peptide-Based Method for Detergent-Free Extraction and Purification of Membrane Proteins and Membrane Proteomes

Antony, F.; Bhattacharya, A.; Duong van Hoa, F.

2026-03-18 biochemistry
10.64898/2026.03.17.711971 bioRxiv
Show abstract

Peptergent is a novel class of amphipathic peptides that enable detergent-free extraction and purification of membrane proteins (MPs). These designed peptides self-assemble around hydrophobic transmembrane regions of proteins, forming stable, water-soluble assemblies that can be isolated directly from biological membranes. By doing so, Peptergent bypass the limitations imposed by traditional detergents, which often destabilize proteins and restrict downstream analyses. Since detergents are completely avoided, Peptergent-isolated MPs are directly amenable to structural and mass spectrometry (MS) analysis, thereby addressing their persistent underrepresentation in proteomic datasets and improving their accessibility for drug-screening strategies. Here, we describe a streamlined protocol for isolating MPs with the Peptergent PDET-1, followed by exchange into His-tagged Peptidiscs for Ni-NTA-based affinity purification. The method comprises membrane isolation, peptide preparation, protein extraction, clarification, and exchange of MPs from Peptergent to Peptidiscs. Application of this workflow yields enriched membrane proteomes compatible with downstream LC-MS/MS analysis, with improved recovery of hydrophobic and multi-pass membrane proteins. Key featuresO_LIDirect extraction and solubilization of membrane proteins in Peptergents C_LIO_LIExchange into His-tagged Peptidiscs enabling affinity purification of MPs C_LIO_LI100% detergent-free workflow compatible with LC-MS/MS analysis C_LIO_LIApplicable to cultured cells and tissue-derived membrane fractions C_LI In BriefWe describe a Peptergent-based workflow for isolating membrane proteins directly from membrane preparations. Proteins are extracted with the Peptergent peptide scaffold (PDET-1) and transferred into His-tagged Peptidisc (HD-43). The water-soluble membrane proteins are enriched by Ni-NTA affinity purification and prepared for bottom-up mass spectrometry, yielding enriched membrane proteomes and dried peptide samples ready for LC-MS analysis Graphical Overview O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=128 SRC="FIGDIR/small/711971v1_ufig1.gif" ALT="Figure 1"> View larger version (36K): org.highwire.dtl.DTLVardef@af3241org.highwire.dtl.DTLVardef@c6a94org.highwire.dtl.DTLVardef@129322aorg.highwire.dtl.DTLVardef@19c7c9d_HPS_FORMAT_FIGEXP M_FIG C_FIG

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Journal of Proteome Research
215 papers in training set
Top 0.1%
26.0%
2
Nature Communications
4913 papers in training set
Top 17%
10.1%
3
Nature Protocols
30 papers in training set
Top 0.1%
4.0%
4
Analytical Chemistry
205 papers in training set
Top 0.7%
4.0%
5
PLOS ONE
4510 papers in training set
Top 37%
3.9%
6
Cell Reports Methods
141 papers in training set
Top 0.9%
3.6%
50% of probability mass above
7
Bioinformatics
1061 papers in training set
Top 5%
3.6%
8
Methods
29 papers in training set
Top 0.1%
3.1%
9
Molecular & Cellular Proteomics
158 papers in training set
Top 0.7%
2.9%
10
Nature Methods
336 papers in training set
Top 3%
2.6%
11
Journal of Visualized Experiments
30 papers in training set
Top 0.1%
2.6%
12
Chemical Science
71 papers in training set
Top 0.7%
2.1%
13
SoftwareX
15 papers in training set
Top 0.2%
1.7%
14
Protein Science
221 papers in training set
Top 1%
1.5%
15
Angewandte Chemie International Edition
81 papers in training set
Top 2%
1.5%
16
Communications Biology
886 papers in training set
Top 14%
1.2%
17
Nucleic Acids Research
1128 papers in training set
Top 13%
1.2%
18
The Analyst
15 papers in training set
Top 0.3%
1.2%
19
Communications Chemistry
39 papers in training set
Top 0.5%
1.2%
20
Journal of the American Society for Mass Spectrometry
33 papers in training set
Top 0.4%
1.1%
21
iScience
1063 papers in training set
Top 26%
0.9%
22
Nature Biotechnology
147 papers in training set
Top 7%
0.8%
23
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 42%
0.8%
24
ACS Omega
90 papers in training set
Top 4%
0.7%
25
Cell Systems
167 papers in training set
Top 14%
0.6%