Back

Characterization of a high-intensity band that cross-reacts with FLAG-M2 antibodies in immunoblots in a subset of laboratory strains of Saccharomyces cerevisiae.

Reid, N. K.; Liang, A. C.; Duncan, M. C.

2025-04-15 cell biology
10.1101/2025.04.15.648968 bioRxiv
Show abstract

Epitope tags are commonly used for various purposes in research labs. The DYKDDDDK-peptide epitope, trademarked as the FLAG epitope, is a commonly used epitope tag. It is often used for monitoring protein levels and for affinity chromatography. Multiple DYKDDDDK-binding antibodies are available; however, the mouse monoclonal anti-FLAG M2 is widely used due to its commercial availability in several formats. Many laboratory Saccharomyces cerevisiae strains, including the BY4741 strain that was used in multiple systematic deletion and tagging libraries, have a high-intensity band that cross-reacts with the FLAG-M2 antibody. The presence of this high-intensity cross-reactive band can be problematic in some applications. Here, we show that despite high-intensity in immunoblots, the cross-reacting band is not enriched by FLAG-M2 affinity beads under native conditions. We also report the fortuitous identification of a strain closely related to BY4741 that lacks the high-intensity cross-reactive band. Finally, contrary to anecdotal reports, we determined that the high-intensity cross-reacting band is not Rtf1. These findings and resources should assist other researchers using the DYKDDDDK-epitope for immunoblots and affinity chromatography.

Matching journals

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

1
PLOS ONE
4510 papers in training set
Top 6%
23.0%
2
Yeast
15 papers in training set
Top 0.1%
8.6%
3
Scientific Reports
3102 papers in training set
Top 9%
8.6%
4
mSphere
281 papers in training set
Top 0.8%
5.0%
5
Journal of Fungi
31 papers in training set
Top 0.1%
3.7%
6
Frontiers in Plant Science
240 papers in training set
Top 3%
2.7%
50% of probability mass above
7
Applied and Environmental Microbiology
301 papers in training set
Top 1%
2.4%
8
Fungal Genetics and Biology
14 papers in training set
Top 0.1%
1.9%
9
Microbiology Spectrum
435 papers in training set
Top 2%
1.8%
10
Biology of the Cell
11 papers in training set
Top 0.1%
1.7%
11
Biochemical and Biophysical Research Communications
78 papers in training set
Top 0.6%
1.7%
12
Molecular Biology of the Cell
272 papers in training set
Top 1%
1.5%
13
G3: Genes, Genomes, Genetics
222 papers in training set
Top 0.5%
1.5%
14
Frontiers in Cellular and Infection Microbiology
98 papers in training set
Top 4%
1.4%
15
Journal of Biological Chemistry
641 papers in training set
Top 2%
1.4%
16
eLife
5422 papers in training set
Top 46%
1.4%
17
G3
33 papers in training set
Top 0.3%
1.4%
18
Biology
43 papers in training set
Top 1%
1.3%
19
Current Protocols
13 papers in training set
Top 0.1%
1.3%
20
Microorganisms
101 papers in training set
Top 2%
0.9%
21
SLAS Technology
11 papers in training set
Top 0.2%
0.9%
22
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 8%
0.8%
23
Frontiers in Molecular Biosciences
100 papers in training set
Top 5%
0.8%
24
mSystems
361 papers in training set
Top 7%
0.8%
25
PLOS Genetics
756 papers in training set
Top 15%
0.7%
26
Open Biology
95 papers in training set
Top 3%
0.7%
27
Journal of Cell Science
353 papers in training set
Top 3%
0.7%
28
MicrobiologyOpen
18 papers in training set
Top 0.3%
0.7%
29
Epigenetics & Chromatin
42 papers in training set
Top 0.5%
0.5%
30
BMC Bioinformatics
383 papers in training set
Top 8%
0.5%