Development of a Screening Assay for Ligands to the Estrogen Receptor Based on Magnetic Microparticles and LC-MS
Open accessAbstract
A high throughput screening assay for the identification of ligands to pharmacologically significant receptors was developed based on magnetic particles containing immobilized receptors followed by liquid chromatography-mass spectrometry (LC-MS). This assay is suitable for the screening of complex mixtures such as botanical extracts. For proof-of-principle, estrogen receptor-alpha (ER-alpha) and ER-beta were immobilized on magnetic particles functionalized with aldehyde or carboxylic acid groups. Alternatively, biotinylated ER was immobilized onto streptavidin-derivatized magnetic particles. The ER that was immobilized using the streptavidin-biotin chemistry showed higher activity than that immobilized on aldehyde or carboxylic acid functionalized magnetic particles. Immobilized ER was incubated with extracts of Trifolium pratense L. (red clover) or Humulus lupulus L. (hops). As a control for non-specific binding, each botanical extract was incubated with magnetic particles containing no ER. After magnetic separation of the particles containing bound ligands from the unbound components in the extract, the particles were washed, ligands were released using methanol, and then the ligands were identified using LC-MS. The estrogens genistein and daidzein were identified in the red clover extract, and the estrogen 8-prenylnaringenin was identified in the hop extract. These screening results are consistent with those obtained using previous screening approaches.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Native MS detects ligands directly bound to a protein, whereas affinity MS approaches typically measure ligand binding indirectly as free compounds.
“An important difference between native MS and affinity MS is that native MS detects ligands directly bound to a protein, whereas affinity MS approaches typically measure ligand binding indirectly as free compounds.”
From Native metabolomics identifies the rivulariapeptolide family of protease inhibitors (2022) · cites this paper as [22]
The Introduction and Results and Discussion describe isolating estrogen receptor–ligand complexes, releasing the ligands, and identifying those released compounds by LC-MS. This supports the indirect-detection part for the paper’s assay, but the paper does not discuss native MS or establish that affinity MS approaches typically work this way. (LLM, conf=0.86)
Experimental — accuracy not yet measuredMagMASS is sterically restricted.
“However, a key limitation of the MagMASS method is the fact that it is sterically restricted.”
From Connecting metabolome and phenotype: recent advances in functional metabolomics tools for the identification of bioactive natural products (2024) · cites this paper as [78]
The Results and Discussion (page unavailable) report that high protein coverage on the magnetic particles caused loss of estrogen-receptor activity, supporting a limitation of the immobilization method. The paper does not identify steric restriction as the cause or describe MagMASS as sterically restricted. (LLM, conf=0.72)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
The publisher hasn’t deposited this paper’s reference list.
Research works printed but not linked: 22
- [1]Bianchi BR, Moreland RB, Faltynek CR, Chen J. Assay Drug Develop. Technol. 2007;5:417–424. doi: 10.1089/adt.2006.041. [DOI] [PubMed] [Google Scholar] · DOI
- [2]Piersen CE, Booth NL, Sun Y, Liang W, Burdette JE,, van Breemen RB, Geller SE, Gu C, Banuvar S, Shulman LP, Bolton JL, Farnsworth NR. Curr. Med. Chem. 2004;11:1361–1374. doi: 10.2174/0929867043365134. [DOI] [PubMed] [Google Scholar] · DOI
- [3]van Breemen RB, Li Y. Expert Opin. Drug Metab. Toxicol. 2005;1:175–185. doi: 10.1517/17425255.1.2.175. [DOI] [PubMed] [Google Scholar] · DOI
- [4]Henrich CJ, Goncharova EI, Wilson JA, Gardella RS, Johnson TR, Mcmahon JB, Takada K, Bokesch HR, Gustafson KR. Chem. Biol. Drug Des. 2007;69:321–330. doi: 10.1111/j.1747-0285.2007.00508.x. [DOI] [PubMed] [Google Scholar] · DOI
- [5]Golan DE, Tashjian AH, Armstrong EJ, Galanter JM, A.W., Armstrong RA, Rose HS. Principles of Pharmacology: The Pathophysiologic Basis of Drug Therapy. Lippincott Williams & Wilkins; 2005. pp. 3–26. [Google Scholar]
- [6]Moy FJ, Haraki K, Mobilio D, Walker G, Powers R, Tabei K, Tong H, Siegel MM. Anal. Chem. 2001;73:571–581. doi: 10.1021/ac0006270. [DOI] [PubMed] [Google Scholar] · DOI
- [7]Johnson BM, Nikolic D, van Breemen RB. Mass Spectrom. Rev. 2002;21:76–86. doi: 10.1002/mas.10020. [DOI] [PubMed] [Google Scholar] · DOI
- [8]Chu Y, Dunayevskiy YM, Kirby DP, Vouros P, Karger B. J. Am. Chem. Soc. 1996;118:7827–7835. [Google Scholar]
- [9]Powell KD, Fitzgerald MC. J. Comb. Chem. 2004;6:262–269. doi: 10.1021/cc034051e. [DOI] [PubMed] [Google Scholar] · DOI
- [10]Wigger M, Eyler JR, Benner SA, Li W, Marshall AG. J. Am. Soc. Mass Spectrom. 2002;13:1162–1169. doi: 10.1016/S1044-0305(02)00439-7. [DOI] [PubMed] [Google Scholar] · DOI
- [11]Sun Y, Gu C, Liu X, Liang W, Yao P, Bolton JL, van Breemen RB. J. Am. Soc. Mass Spectrom. 2005;16:271–279. doi: 10.1016/j.jasms.2004.11.002. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
- [12]Nikolic D, Habibi-Goudarzi S, Corley DG, Gafner S, Pezzuto JM, van Breemen RB. Anal. Chem. 2000;72:3853–3859. doi: 10.1021/ac0000980. [DOI] [PubMed] [Google Scholar] · DOI
- [13]Gu C, Nikolic D, Lai J, Xu X, van Breemen RB. Comb. Chem. High Throughput Screen. 1999;2:353–359. [PubMed] [Google Scholar]
- [14]Franzreb M, Siemann-Herzberg M, Hobley T, Thomas OR. Appl. Microbiol. Biotechnol. 2006;70:505–516. doi: 10.1007/s00253-006-0344-3. [DOI] [PubMed] [Google Scholar] · DOI
- [15]Curat CA, Miranville A, Sengenés C, Diehl M, Tonus C, Busse R, Bouloumié A. Diabetes. 2004;53:1285–1292. doi: 10.2337/diabetes.53.5.1285. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- [16]Nam J, Park S, Mirkin CA. J. Am. Chem. Soc. 2002;124:3820–3821. doi: 10.1021/ja0178766. [DOI] [PubMed] [Google Scholar] · DOI
- [17]Eastman PS, Ruan W, Doctolero M, Nuttall R, de Feo G, Park JS, Chu JS, Cooke P, Gray JW, Li S, Chen FF. Nano Letters. 2006;6:1059–1064. doi: 10.1021/nl060795t. [DOI] [PubMed] [Google Scholar] · DOI
- [18]Overk CR, Yao P, Chadwick LR, Nikolic D, Sun Y, Cuendet MA, Deng Y, Hedayat AS, Pauli GF, Farnsworth NR, van Breemen RB, Bolton JL. J. Agric. Food Chem. 2005;53:6246–6253. doi: 10.1021/jf050448p. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
- [19]Peelen D, Kodoyianni V, Lee J, Zheng T, Shortreed MR, Smith LM. J. Proteome Res. 2006;5:1580–1585. doi: 10.1021/pr050467e. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
- [20]Peelen D, Smith LM. Langmuir. 2005;21:266–271. doi: 10.1021/la048166r. [DOI] [PubMed] [Google Scholar] · DOI
- [21]Lahiri J, Isaacs L, Tien J, Whitesides GM. Anal. Chem. 1999;71:777–790. doi: 10.1021/ac980959t. [DOI] [PubMed] [Google Scholar] · DOI
- [22]van Breemen RB, Huang C, Nikolic D, Woodbury CP, Zhao Y, Venton DL. Anal. Chem. 1997;69:2159–2164. doi: 10.1021/ac970132j. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
Cited by
Sorted by citations
Ultra-large chemical libraries for the discovery of high-affinity peptide binders
Quartararo, A. J., Gates, Z. P., Somsen, B. A., Hartrampf, N., Ye, X., Shimada, A., Kajihara, Y., Ottmann, C., & Pentelute, B. L. (2020) · Nature Communications · doi:10.1038/s41467-020-16920-3 · Cited by 154 · see citing works
Cannabinoids Block Cellular Entry of SARS-CoV-2 and the Emerging Variants
van Breemen, R. B., Muchiri, R. N., Bates, T. A., Weinstein, J. B., Leier, H. C., Farley, S., & Tafesse, F. G. (2022) · Journal of Natural Products · doi:10.1021/acs.jnatprod.1c00946 · Cited by 135 · see citing works
Potterat, O., & Hamburger, M. O. (2013) · Natural Product Reports · doi:10.1039/c3np20094a · Cited by 130 · see citing works
Michel, T., Halabalaki, M., & Skaltsounis, A. (2013) · Planta Medica · doi:10.1055/s-0032-1328300 · Cited by 89 · see citing works
Screening Natural Products for Inhibitors of Quinone Reductase-2 Using Ultrafiltration LC−MS
Choi, Y., Jermihov, K. C., Nam, S., et al. (2010) · Analytical Chemistry · doi:10.1021/ac1028424 · Cited by 77 · see citing works
Self-citationNutraceuticals, A New Challenge for Medicinal Chemistry
Sut, S., Baldan, V., Faggian, M., Peron, G., & Dall’Acqua, S. (2016) · Current Medicinal Chemistry · doi:10.2174/0929867323666160615104837 · Cited by 67 · see citing works
Development of Safe and Effective Botanical Dietary Supplements
van Breemen, R. B. (2015) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.5b00417 · Cited by 67 · see citing works
Self-citationMulabagal, V., & Calderón, Á. I. (2010) · Analytical Chemistry · doi:10.1021/ac902849g · Cited by 64 · see citing works
Vitale, G. A., Geibel, C., Minda, V., Wang, M., Aron, A. T., & Petras, D. (2024) · Natural Product Reports · doi:10.1039/d3np00050h · Cited by 66 · see citing works
Tao, Y., Zhang, Y., Wáng, Y., & Cheng, Y. (2013) · Analytica Chimica Acta · doi:10.1016/j.aca.2013.04.058 · Cited by 61 · see citing works
Jonker, N., Kretschmer, A., Kool, J., et al. (2009) · Analytical Chemistry · doi:10.1021/ac9000755 · Cited by 57 · see citing works
Native metabolomics identifies the rivulariapeptolide family of protease inhibitors
Reher, R., Aron, A. T., Fajtová, P., Stincone, P., Wagner, B., Pérez-Lorente, A. I., Liu, C., Shalom, I. Y. B., Bittremieux, W., Wang, M., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-32016-6 · Cited by 53 · see citing works
Magnetic particles for enzyme immobilization: A versatile support for ligand screening
Ximenes, I. A. T., de Oliveira, P. C. O., Wegermann, C. A., et al. (2021) · Journal of Pharmaceutical and Biomedical Analysis · doi:10.1016/j.jpba.2021.114286 · Cited by 45 · see citing works
Muchiri, R. N., & van Breemen, R. B. (2020) · Journal of Mass Spectrometry · doi:10.1002/jms.4647 · Cited by 41 · see citing works
Self-citationChoi, Y.-S., Jung, Y., & Kim, S. (2015) · Molecules · doi:10.3390/molecules200813753 · Cited by 35 · see citing works
“Previous studies have indicated that an ultrafiltration LC-MS assay is suitable to screen for natural product ligands for nuclear receptors such as estrogen receptors [12,13] and retinoid X receptors [14], as well as the cytosolic enzyme quinone reductase 2 [11].”
BackgroundMethodSelf-citationPhytoestrogens: The current state of research emphasizing breast pathophysiology
Senthilkumar, H. A., Fata, J. E., & Kennelly, E. J. (2018) · Phytotherapy Research · doi:10.1002/ptr.6115 · Cited by 34 · see citing works
Simithy, J., Reeve, N. H., Hobrath, J. V., Reynolds, R. C., & Calderón, Á. I. (2014) · Tuberculosis · doi:10.1016/j.tube.2013.12.004 · Cited by 34 · see citing works
Long-Term Oral Administration of Hop Flower Extracts Mitigates Alzheimer Phenotypes in Mice
Sasaoka, N., Sakamoto, M., Kanemori, S., Kan, M., Tsukano, C., Takemoto, Y., & Kakizuka, A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0087185 · Cited by 31 · see citing works
“[55,56], anti-atherosclerotic activities [57], etc.”
Arai, M. A., Ishikawa, N., Tanaka, M., et al. (2015) · Chemical Science · doi:10.1039/c5sc03540f · Cited by 28 · see citing works
McFadden, M. J., Junop, M. S., & Brennan, J. D. (2010) · Analytical Chemistry · doi:10.1021/ac102164d · Cited by 28 · see citing works
Rush, M. D., Walker, E. M., Prehna, G., Burton, T. C. J., & van Breemen, R. B. (2016) · Journal of the American Society for Mass Spectrometry · doi:10.1007/s13361-016-1564-0 · Cited by 26 · see citing works
“To increase the throughput of reverse pharmacology natural product mixture screening, we developed Magnetic Microbead Affinity Selection Screening (MagMASS), in which the target of interest is tethered to magnetic beads instead of free in solution [18].”
Self-citationDrug discovery from natural products using affinity selection-mass spectrometry
Muchiri, R. N., & van Breemen, R. B. (2021) · Drug Discovery Today Technologies · doi:10.1016/j.ddtec.2021.10.005 · Cited by 25 · see citing works
Self-citationRush, M. D., Walker, E. M., Burton, T. C. J., & van Breemen, R. B. (2016) · Journal of Natural Products · doi:10.1021/acs.jnatprod.6b00693 · Cited by 23 · see citing works
Self-citationScreening for the bioactive constituents of traditional Chinese medicines—progress and challenges
Yang, X., Gu, W., Li, L., et al. (2017) · RSC Advances · doi:10.1039/c6ra25765h · Cited by 23 · see citing works
Aqai, P., Blesa, N. G., Major, H. J., Pedotti, M., Varani, L., Ferrero, V. E. V., Haasnoot, W., & Nielen, M. W. F. (2013) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-013-7384-1 · Cited by 23 · see citing works
“20 μg) [21]; however, in the BioMS screening, <0.”
MethodZhu, J., Yi, X., Liu, W., et al. (2016) · Talanta · doi:10.1016/j.talanta.2016.12.089 · Cited by 19 · see citing works
Jonker, N., Kool, J., Krabbe, J. G., et al. (2008) · Journal of Chromatography A · doi:10.1016/j.chroma.2008.07.089 · Cited by 15 · see citing works
Muchiri, R. N., Kibitel, J., Redick, M. A., & van Breemen, R. B. (2021) · Journal of the American Society for Mass Spectrometry · doi:10.1021/jasms.1c00318 · Cited by 11 · see citing works
Self-citationA multiplexed screening method for agonists and antagonists of the estrogen receptor protein
Li, Z., Yan, M., Li, Z., Vuki, M., Wu, D., Liu, F., Zhong, W., Zhang, L., & Xu, D. (2012) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-012-5933-7 · Cited by 11 · see citing works
“26], as well as chromatography–mass spectrometry [27, 28]”
Affinity selection‐mass spectrometry in the discovery of anti‐SARS‐CoV‐2 compounds
van Breemen, R. B., & Muchiri, R. N. (2022) · Mass Spectrometry Reviews · doi:10.1002/mas.21800 · Cited by 9 · see citing works
Self-citationLiao, F., Long, Yang, et al. (2013) · International Journal of Nanomedicine · doi:10.2147/ijn.s41411 · Cited by 9 · see citing works
Target protein-oriented isolation of Hes1 dimer inhibitors using protein based methods
Arai, M. A., Morita, K., Kawano, H., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-58451-3 · Cited by 8 · see citing works
Yang, X., Xie, Y., Pu, J., et al. (2011) · BMC Biotechnology · doi:10.1186/1472-6750-11-44 · Cited by 7 · see citing works
“It is known that target-ligand complexes can be readily recovered via magnetic force with satisfactory recovery ratios and practical efficiency as long as protein targets are immobilized on magnetic particles [23-29].”
BackgroundYang, X., Pu, J., Zhao, H., et al. (2011) · Microchimica Acta · doi:10.1007/s00604-011-0696-y · Cited by 7 · see citing works
“In general, HPLC-MS is suitable for this new screening method [11–15].”
BackgroundMethodRen, Z., Liu, T., Zhuang, S.-H., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0130481 · Cited by 6 · see citing works
Affinity selection mass spectrometry (AS-MS) for prospecting ligands in natural product libraries
do Amaral, B. S., de Moraes, M. C., Cardoso, C. L., & Cass, Q. B. (2025) · Frontiers in Natural Products · doi:10.3389/fntpr.2025.1562501 · Cited by 6 · see citing works
Direct Dynamic Protein-Affinity Selection Mass-Spectrometry
Jonker, N., Lingeman, H., & Irth, H. (2010) · Chromatographia · doi:10.1365/s10337-010-1586-x · Cited by 5 · see citing works
Role of mass spectrometry in establishing safety and efficacy of botanical dietary supplements
van Breemen, R. B. (2020) · Clinical mass spectrometry · doi:10.1016/j.clinms.2019.12.001 · Cited by 5 · see citing works
“For example, estrogenic botanical dietary supplements have been screened using pulsed ultrafiltration (PUF) mass spectrometry and magnetic microbead affinity selection mass spectrometry to find ligands to the estrogen receptors-a and -b, such as 8-prenylnaringenin in hops [8].”
MethodSelf-citationFreitas, A. C., Montalvão, S. I. G. H. M., Duarte, A. C., et al. (2014) · Comprehensive analytical chemistry · doi:10.1016/b978-0-444-63359-0.00010-0 · Cited by 2 · see citing works
Target Protein-Oriented Natural Product Isolation Methods
Arai, M. A., & Ishibashi, M. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-409547-2.14648-7 · Cited by 2 · see citing works
Burton, T. C. J., Lankin, D. C., Nikolic, D. S., et al. (2021) · Phytochemistry Letters · doi:10.1016/j.phytol.2021.07.018 · Cited by 1 · see citing works
Self-citationКарева, Е. Н., Tikhonov, D. A., Mironov, S. E., et al. (2019) · Pharmaceutical Chemistry Journal · doi:10.1007/s11094-019-1914-x · Cited by 1 · see citing works
Current literature in mass spectrometry
(2008) · Journal of Mass Spectrometry · doi:10.1002/jms.1307 · Cited by 1 · see citing works
Mass Spectrometry and Drug Discovery
van Breemen, R. B., Newsome, A. G., Dahl, J. H., & Muchiri, R. N. (2021) · Burger's Medicinal Chemistry and Drug Discovery · doi:10.1002/0471266949.bmc012.pub3 · Cited by 1 · see citing works
Self-citationOff‐Line Affinity Selection Mass Spectrometry and Its Application in Lead Discovery
Stratton, C. F., Szewczuk, L. M., & Meng, J. (2023) · doi:10.1002/9781119678496.ch8 · Cited by 1 · see citing works
Anti-Proliferative Effects of Garcinia Fruits in Breast Cancer Cells
Senthilkumar, H. A. (2018)
Screening and Characterizing of GPCR –Ligand Interactions with Mass Spectrometry‐Based Technologies
Qin, S., Lu, Y., & Shui, W. (2022) · doi:10.1002/9781119564782.ch22
- Authors
- van Breemen, R., & Choi, Y.
- Affiliations
- University of Illinois Chicago (US)
- Venue
- Combinatorial Chemistry & High Throughput Screening
- Publisher
- Bentham Science Publishers Ltd.
- Published
- 2008-01-01
- Volume
- 11
- Issue
- 1
- Pages
- 1-6
- ISSN
- 1386-2073 (ISSN-L)
- PMC
- PMC2736128
- OpenAlex
- W2028396792
- Cited by
- 49
- References
- 0
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 1 · 2022: 4 · 2021: 5 · 2020: 4 · 2019: 2 · 2018: 2 · 2017: 1 · 2016: 4 · 2015: 4 · 2014: 4 · 2013: 6 · 2012: 1
- FWCI
- 1.71
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Combinatorial Chemistry & High Throughput Screening (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Office of Dietary Supplements
- National Institutes of Health
- National Center for Complementary and Alternative Medicine
- National Center for Complementary and Integrative Health (P50-AT00155, P50AT000155)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Estrogen and related hormone effects
- Physical Sciences › Chemistry › Analytical Chemistry › Analytical chemistry methods development
- Health Sciences › Medicine › Pathology and Forensic Medicine › Phytoestrogen effects and research
- Keywords
- estrogen receptor, estrogen receptor alpha, estrogen receptor beta, magnetic microparticles, immobilized receptors, high-throughput screening, ligand screening, plant extracts, red clover, Humulus lupulus, genistein, daidzein, 8-prenylnaringenin, streptavidin-biotin immobilization, magnetic separation
- MeSH terms
- Methanol, Binding Sites, Biological Assay, Chromatography, Liquid, Isoflavones, Ligands, Magnetics, Plant Extracts, Receptors, Estrogen, Mass Spectrometry, Time Factors, Genistein, Humulus, Trifolium, Flavanones, Estrogen Receptor alpha, Estrogen Receptor beta, Nanoparticles
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review