Raman-guided subcellular pharmaco-metabolomics for metastatic melanoma cells
Open accessAbstract
Non-invasively probing metabolites within single live cells is highly desired but challenging. Here we utilize Raman spectro-microscopy for spatial mapping of metabolites within single cells, with the specific goal of identifying druggable metabolic susceptibilities from a series of patient-derived melanoma cell lines. Each cell line represents a different characteristic level of cancer cell de-differentiation. First, with Raman spectroscopy, followed by stimulated Raman scattering (SRS) microscopy and transcriptomics analysis, we identify the fatty acid synthesis pathway as a druggable susceptibility for differentiated melanocytic cells. We then utilize hyperspectral-SRS imaging of intracellular lipid droplets to identify a previously unknown susceptibility of lipid mono-unsaturation within de-differentiated mesenchymal cells with innate resistance to BRAF inhibition. Drugging this target leads to cellular apoptosis accompanied by the formation of phase-separated intracellular membrane domains. The integration of subcellular Raman spectro-microscopy with lipidomics and transcriptomics suggests possible lipid regulatory mechanisms underlying this pharmacological treatment. Our method should provide a general approach in spatially-resolved single cell metabolomics studies.
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The drug-resistant U cancer cell state displays increased activity of enzymes promoting the synthesis and uptake of PUFAs such as arachidonic acid and linolenic acid.
“The drug-resistant, U cancer cell state displays increased activity of enzymes promoting the synthesis and uptake of PUFAs (16, 17), such as arachidonic acid (AA, C20:4) and linolenic acid (C18:2), which are major substrates for ROS attack.”
From Secreted Apoe rewires melanoma cell state vulnerability to ferroptosis (2024) · cites this paper as [16]
The Discussion (page unavailable) reports upregulated lipid-unsaturation-associated activity in drug-resistant mesenchymal M381 cells, and the Results section on desaturases shows that a PUFA-synthesis enzyme contributes to their lipid-droplet unsaturation. But the Discussion says M381 had the lowest relative lipid-uptake activity, not increased uptake. The desaturases Results section also identifies C18:2 as linoleic acid, not linolenic acid. (LLM, conf=0.88)
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RETRACTED ARTICLE: LncMAPK6 drives MAPK6 expression and liver TIC self-renewal
Huang, G., Jiang, H., He, Y., Lin, Y., Xia, W., Luo, Y., Liang, M., Shi, B., Zhou, X., & Jian, Z. (2018) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-018-0770-y · Cited by 19 · see citing works
RetractedSubramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625 · see citing works
Mutations of the BRAF gene in human cancer
Davies, H., Bignell, G. R., Cox, C., Stephens, P., Edkins, S., Clegg, S., Teague, J., Woffendin, H., Garnett, M. J., Bottomley, W., et al. (2002) · Nature · doi:10.1038/nature00766 · Cited by 10,674 · see citing works
Santos, A. G., da Rocha, G. O., & de Andrade, J. B. (2019) · Scientific Reports · doi:10.1038/s41598-018-37186-2 · Cited by 8,495 · see citing works
Membrane lipids: where they are and how they behave
van Meer, G., Voelker, D. R., & Feigenson, G. W. (2008) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2330 · Cited by 7,157 · see citing works
Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma
Patel, A. P., Tirosh, I., Trombetta, J. J., Shalek, A. K., Gillespie, S. M., Wakimoto, H., Cahill, D. P., Nahed, B. V., Curry, W. T., Martuza, R. L., et al. (2014) · Science · doi:10.1126/science.1254257 · Cited by 5,063 · see citing works
Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq
Tirosh, I., Izar, B., Prakadan, S. M., Wadsworth, M. H., Treacy, D., Trombetta, J. J., Rotem, A., Rodman, C., Lian, C., Murphy, G., et al. (2016) · Science · doi:10.1126/science.aad0501 · Cited by 4,944 · see citing works
Genomic and Transcriptomic Features of Response to Anti-PD-1 Therapy in Metastatic Melanoma
Hugo, W., Zaretsky, J. M., Sun, L., Song, C., Moreno, B. H., Hu-Lieskovan, S., Berent-Maoz, B., Pang, J., Chmielowski, B., Cherry, G., et al. (2016) · Cell · doi:10.1016/j.cell.2016.02.065 · Cited by 3,448 · see citing works
Self-citationMetabolic Reprogramming: A Cancer Hallmark Even Warburg Did Not Anticipate
Ward, P. S., & Thompson, C. B. (2012) · Cancer Cell · doi:10.1016/j.ccr.2012.02.014 · Cited by 3,233 · see citing works
Dynamics and functions of lipid droplets
Olzmann, J. A., & Carvalho, P. (2019) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-018-0085-z · Cited by 2,740 · see citing works
Label-Free Biomedical Imaging with High Sensitivity by Stimulated Raman Scattering Microscopy
Freudiger, C. W., Min, W., Saar, B. G., Lü, S., Holtom, G. R., He, C., Tsai, J. C.-S., Kang, J. X., & Xie, X. S. (2008) · Science · doi:10.1126/science.1165758 · Cited by 2,244 · see citing works
Cellular Fatty Acid Metabolism and Cancer
Currie, E., Schulze, A., Zechner, R., Walther, T. C., & Farese, R. V. (2013) · Cell Metabolism · doi:10.1016/j.cmet.2013.05.017 · Cited by 2,123 · see citing works
Triglyceride accumulation protects against fatty acid-induced lipotoxicity
Listenberger, L. L., Han, X., Lewis, S. E., Cases, S., Farese, R. V., Ory, D. S., & Schaffer, J. E. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0630588100 · Cited by 2,075 · see citing works
Dependency of a therapy-resistant state of cancer cells on a lipid peroxidase pathway
Viswanathan, V. S., Ryan, M. J., Dhruv, H. D., Gill, S., Eichhoff, O. M., Seashore-Ludlow, B., Kaffenberger, S. D., Eaton, J. K., Shimada, K., Aguirre, A. J., et al. (2017) · Nature · doi:10.1038/nature23007 · Cited by 2,011 · see citing works
Taniguchi, Y., Choi, P. J., Li, G.-W., Chen, H., Babu, M., Hearn, J., Emili, A., & Xie, X. S. (2010) · Science · doi:10.1126/science.1188308 · Cited by 1,982 · see citing works
Fischer, K. R., Durrans, A., Lee, S., Sheng, J., Li, F., Wong, S. T. C., Choi, H., El Rayes, T., Ryu, S., Troeger, J., et al. (2015) · Nature · doi:10.1038/nature15748 · Cited by 1,791 · see citing works
The multifaceted roles of fatty acid synthesis in cancer
Röhrig, F., & Schulze, A. (2016) · Nature Reviews Cancer · doi:10.1038/nrc.2016.89 · Cited by 1,651 · see citing works
Applying systems-level spectral imaging and analysis to reveal the organelle interactome
Valm, A. M., Cohen, S., Legant, W. R., Melunis, J., Hershberg, U., Wait, E., Cohen, A. R., Davidson, M. W., Betzig, E., & Lippincott-Schwartz, J. (2017) · Nature · doi:10.1038/nature22369 · Cited by 1,113 · see citing works
Thematic review series: Glycerolipids. DGAT enzymes and triacylglycerol biosynthesis
Yen, C.-L. E., Stone, S. J., Koliwad, S., Harris, C., & Farese, R. V. (2008) · Journal of Lipid Research · doi:10.1194/jlr.r800018-jlr200 · Cited by 1,105 · see citing works
STRUCTURE, FUNCTION, AND DIETARY REGULATION OF Δ6, Δ5, AND Δ9 DESATURASES
Nakamura, M., & Nara, T. (2004) · Annual Review of Nutrition · doi:10.1146/annurev.nutr.24.121803.063211 · Cited by 1,074 · see citing works
Tsoi, J., Robert, L., Paraiso, K., Galvan, C., Sheu, K. M., Lay, J., Wong, D. J. L., Atefi, M., Shirazi, R., Wang, X., et al. (2018) · Cancer Cell · doi:10.1016/j.ccell.2018.03.017 · Cited by 938 · see citing works
Self-citationYue, S., Li, J., Lee, S. Y., Lee, H. J., Shao, T., Song, B., Liang Cheng, C., Masterson, T. A., Liu, X., Ratliff, T. L., et al. (2014) · Cell Metabolism · doi:10.1016/j.cmet.2014.01.019 · Cited by 931 · see citing works
Vibrational spectroscopic imaging of living systems: An emerging platform for biology and medicine
Cheng, J.-X., & Xie, X. S. (2015) · Science · doi:10.1126/science.aaa8870 · Cited by 874 · see citing works
Video-Rate Molecular Imaging in Vivo with Stimulated Raman Scattering
Saar, B. G., Freudiger, C. W., Reichman, J. R., Stanley, C. M., Holtom, G. R., & Xie, X. S. (2010) · Science · doi:10.1126/science.1197236 · Cited by 838 · see citing works
Budnik, B., Levy, E., Harmange, G., & Slavov, N. (2018) · Genome Biology · doi:10.1186/s13059-018-1547-5 · Cited by 832 · see citing works
Vemurafenib: the first drug approved for BRAF-mutant cancer
Bollag, G. E., Tsai, J. Y., Zhang, J., Zhang, C., Ibrahim, P. N., Nolop, K. B., & Hirth, P. (2012) · Nature Reviews Drug Discovery · doi:10.1038/nrd3847 · Cited by 825 · see citing works
Cloning of DGAT2, a Second Mammalian Diacylglycerol Acyltransferase, and Related Family Members
Cases, S., Stone, S. J., Zhou, P., Yen, E., Tow, B., Lardizabal, K. D., Voelker, T., & Farese, R. V. (2001) · Journal of Biological Chemistry · doi:10.1074/jbc.m106219200 · Cited by 818 · see citing works
Walther, T. C., Chung, J., & Farese, R. V. (2017) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev-cellbio-100616-060608 · Cited by 772 · see citing works
Toward Minimal Residual Disease-Directed Therapy in Melanoma
Rambow, F., Rogiers, A., Marin-Bejar, O., Aibar, S., Femel, J., Dewaele, M., Karras, P., Brown, D., Chang, Y. H., Debiec-Rychter, M., et al. (2018) · Cell · doi:10.1016/j.cell.2018.06.025 · Cited by 771 · see citing works
<i>In vivo</i> Switching of Human Melanoma Cells between Proliferative and Invasive States
Hoek, K. S., Eichhoff, O. M., Schlegel, N. C., Döbbeling, U., Kobert, N., Schaerer, L., Hemmi, S., & Dummer, R. (2008) · Cancer Research · doi:10.1158/0008-5472.can-07-2491 · Cited by 743 · see citing works
Wei, Y., Wang, D., Topczewski, F., & Pagliassotti, M. J. (2006) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00644.2005 · Cited by 736 · see citing works
Single-Cell Metabolomics: Analytical and Biological Perspectives
Zenobi, R. (2013) · Science · doi:10.1126/science.1243259 · Cited by 659 · see citing works
Volmer, R., van der Ploeg, K., & Ron, D. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1217611110 · Cited by 655 · see citing works
DeepCRISPR: Optimized CRISPR guide RNA design by deep learning
Chuai, G., Ma, H., Yan, J., Chen, M., Hong, N., Xue, D., Zhou, C., Zhu, C., Chen, K., Duan, B., et al. (2018) · Genome biology · doi:10.1186/s13059-018-1459-4 · Cited by 641 · see citing works
Low MITF/AXL ratio predicts early resistance to multiple targeted drugs in melanoma
Müller, J., Krijgsman, O., Tsoi, J., Robert, L., Hugo, W., Song, C., Kong, X., Possik, P. A., Cornelissen-Steijger, P. D. M., Foppen, M. H. G., et al. (2014) · Nature Communications · doi:10.1038/ncomms6712 · Cited by 639 · see citing works
Self-citationMelanomas resist T-cell therapy through inflammation-induced reversible dedifferentiation
Landsberg, J., Sirokay, J. D., Renn, M., Bald, T., Rogava, M., Cron, M., Fatho, M., Lennerz, V., Wölfel, T., Hölzel, M., et al. (2012) · Nature · doi:10.1038/nature11538 · Cited by 635 · see citing works
Pharmacogenomics of GPCR Drug Targets
Hauser, A. S., Chavali, S., Masuho, I., Jahn, L. J., Martemyanov, K. A., Gloriam, D. E. I., & Babu, M. M. (2017) · Cell · doi:10.1016/j.cell.2017.11.033 · Cited by 611 · see citing works
Non-genomic and Immune Evolution of Melanoma Acquiring MAPKi Resistance
Hugo, W., Shi, H., Sun, L., Piva, M., Song, C., Kong, X., Moriceau, G., Hong, A., Dahlman, K. B., Johnson, D. B., et al. (2015) · Cell · doi:10.1016/j.cell.2015.07.061 · Cited by 596 · see citing works
Self-citationLipid Desaturation Is a Metabolic Marker and Therapeutic Target of Ovarian Cancer Stem Cells
Li, J., Condello, S., Pepin, J. T., Ma, X., Xia, Y., Hurley, T. D., Matei, D. E., & Cheng, J. (2016) · Cell stem cell · doi:10.1016/j.stem.2016.11.004 · Cited by 579 · see citing works
Disruption of endoplasmic reticulum structure and integrity in lipotoxic cell death
Borradaile, N. M., Han, X., Harp, J. D., Gale, S. E., Ory, D. S., & Schaffer, J. E. (2006) · Journal of Lipid Research · doi:10.1194/jlr.m600299-jlr200 · Cited by 564 · see citing works
A Melanoma Cell State Distinction Influences Sensitivity to MAPK Pathway Inhibitors
Konieczkowski, D. J., Johannessen, C. M., Abudayyeh, O. O., Kim, J. W., Cooper, Z. A., Piris, A., Frederick, D. T., Barzily-Rokni, M., Straussman, R., Haq, R., et al. (2014) · Cancer Discovery · doi:10.1158/2159-8290.cd-13-0424 · Cited by 526 · see citing works
Metabolic landscape of the tumor microenvironment at single cell resolution
Xiao, Z., Dai, Z., & Locasale, J. W. (2019) · Nature Communications · doi:10.1038/s41467-019-11738-0 · Cited by 524 · see citing works
High-speed molecular spectral imaging of tissue with stimulated Raman scattering
Ozeki, Y., Umemura, W., Otsuka, Y., Satoh, S., Hashimoto, H., Sumimura, K., Nishizawa, N., Fukui, K., & Itoh, K. (2012) · Nature Photonics · doi:10.1038/nphoton.2012.263 · Cited by 519 · see citing works
In vivo lipidomics using single-cell Raman spectroscopy
Wu, H., Volponi, J. V., Oliver, A. E., Parikh, A. N., Simmons, B. A., & Singh, S. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1009043108 · Cited by 436 · see citing works
Rapid simultaneous lipid extraction and transesterification for fatty acid analyses
Rodríguez‐Ruiz, J., Belarbi, E., Sánchez, J. L. G., & Alonso, D. L. (1998) · Biotechnology Techniques · doi:10.1023/a:1008812904017 · Cited by 354 · see citing works
Development and applications of single-cell transcriptome analysis
Tang, F., Lao, K., & Surani, M. A. (2011) · Nature Methods · doi:10.1038/nmeth.1557 · Cited by 337 · see citing works
Metabolic signatures of cancer cells and stem cells
Intlekofer, A. M., & Finley, L. W. S. (2019) · Nature Metabolism · doi:10.1038/s42255-019-0032-0 · Cited by 322 · see citing works
Hyperspectral Imaging with Stimulated Raman Scattering by Chirped Femtosecond Lasers
Fu, D., Holtom, G., Freudiger, C. W., Zhang, X., & Xie, X. S. (2012) · The Journal of Physical Chemistry B · doi:10.1021/jp308938t · Cited by 320 · see citing works
Integrative analysis of the melanoma transcriptome
Berger, M. F., Levin, J. Z., Vijayendran, K., Sivachenko, A., Adiconis, X., Maguire, J., Johnson, L. A., Robinson, J., Verhaak, R. G., Sougnez, C., et al. (2010) · Genome Research · doi:10.1101/gr.103697.109 · Cited by 305 · see citing works
Wei, L., Yu, Y., Shen, Y., Wang, M. C., & Min, W. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1303768110 · Cited by 251 · see citing works
Self-citationSmith, B. N., Topp, S. D., Fallini, C., Shibata, H., Chen, H.-J., Troakes, C., King, A., Ticozzi, N., Kenna, K. P., Gkazi, S. A., et al. (2017) · Science Translational Medicine · doi:10.1126/scitranslmed.aad9157 · Cited by 249 · see citing works
Zhang, D., Wang, P., Slipchenko, M. N., Ben‐Amotz, D., Weiner, A. M., & Cheng, J. (2012) · Analytical Chemistry · doi:10.1021/ac3019119 · Cited by 241 · see citing works
Su, Y., Wei, W., Robert, L., Xue, M., Tsoi, J., García-Díaz, Á., Moreno, B. H., Kim, J.-W., Ng, R. H., Lee, J. W., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1712064115 · Cited by 226 · see citing works
Self-citationAdvances in mass spectrometry based single-cell metabolomics
Duncan, K. D., Fyrestam, J., & Lanekoff, I. (2018) · The Analyst · doi:10.1039/c8an01581c · Cited by 224 · see citing works
Fu, D., Yu, Y., Folick, A., Currie, E., Farese, R. V., Tsai, T., Xie, X. S., & Wang, M. C. (2014) · Journal of the American Chemical Society · doi:10.1021/ja504199s · Cited by 222 · see citing works
Wei, L., Hu, F., Chen, Z., Shen, Y., Zhang, L., & Min, W. (2016) · Accounts of Chemical Research · doi:10.1021/acs.accounts.6b00210 · Cited by 201 · see citing works
Self-citationSpectral tracing of deuterium for imaging glucose metabolism
Zhang, L., Shi, L., Shen, Y., Miao, Y., Wei, M., Qian, N., Liu, Y., & Min, W. (2019) · Nature Biomedical Engineering · doi:10.1038/s41551-019-0393-4 · Cited by 197 · see citing works
Information Theory Approach to Molecular Reaction Dynamics
Levine, R. D. (1978) · Annual Review of Physical Chemistry · doi:10.1146/annurev.pc.29.100178.000423 · Cited by 189 · see citing works
Self-citationMetabolic activity induces membrane phase separation in endoplasmic reticulum
Shen, Y., Zhao, Z., Zhang, L., Shi, L., Shahriar, S., Chan, R., Paolo, G. D., & Min, W. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1712555114 · Cited by 158 · see citing works
Quantifying E. coli Proteome and Transcriptome with Single-molecule Sensitivity in Single Cells
Taniguchi, Y. (2011) · Seibutsu Butsuri · doi:10.2142/biophys.51.136 · Cited by 157 · see citing works
Single-cell analyses to tailor treatments
Shalek, A. K., & Benson, M. (2017) · Science Translational Medicine · doi:10.1126/scitranslmed.aan4730 · Cited by 157 · see citing works
Yu, Y., Schleich, K., Yue, B., Ji, S., Lohneis, P., Kemper, K., Silvis, M. R., Qutob, N., van Rooijen, E., Werner-Klein, M., et al. (2018) · Cancer Cell · doi:10.1016/j.ccell.2018.01.002 · Cited by 156 · see citing works
Sustained SREBP-1-dependent lipogenesis as a key mediator of resistance to BRAF-targeted therapy
Talebi, A., Dehairs, J., Rambow, F., Rogiers, A., Nittner, D., Derua, R., Vanderhoydonc, F., Duarte, J. A. G., Bosisio, F., Van den Eynde, K., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-04664-0 · Cited by 155 · see citing works
Metabolomics: Small molecules, single cells
Fessenden, M. (2016) · Nature · doi:10.1038/540153a · Cited by 153 · see citing works
Feng, B., Qin, C., Geng, X., Yu, Q., Wang, W. Q., Wu, Y., Yan, X., Ji, L., & Shen, B. (2019) · Scientific Reports · doi:10.1038/s41598-019-55217-4 · Cited by 150 · see citing works
Alhassan, R. K., Duku, S. K. O., Janssens, W., Nketiah‐Amponsah, E., Spieker, N., Ostenberg, P. R. V., Arhinful, D. K., Pradhan, M., & de Wit, T. F. R. (2015) · PLoS ONE · doi:10.1371/journal.pone.0140109 · Cited by 113 · see citing works
Vibrational spectroscopic methods for cytology and cellular research
Clemens, G., Hands, J. R., Dorling, K. M., & Baker, M. J. (2014) · The Analyst · doi:10.1039/c4an00636d · Cited by 111 · see citing works
Multiplexed and single cell tracing of lipid metabolism
Thiele, C., Wunderling, K., & Leyendecker, P. (2019) · Nature Methods · doi:10.1038/s41592-019-0593-6 · Cited by 108 · see citing works
Fu, D., Yang, W., & Xie, X. S. (2016) · Journal of the American Chemical Society · doi:10.1021/jacs.6b10727 · Cited by 103 · see citing works
Lü, Y., Ko, M. E., Cheng, H., Zhu, R., Xue, M., Wang, J. K., Lee, J. W., Frankiw, L., Xu, A. M., Wong, S. K., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-15956-9 · Cited by 100 · see citing works
Self-citationInformation-theoretic analysis of phenotype changes in early stages of carcinogenesis
Remacle, F., Kravchenko‐Balasha, N., Levitzki, A., & Levine, R. D. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1005283107 · Cited by 98 · see citing works
Self-citationPisanu, M. E., Maugeri‐Saccà, M., Fattore, L., Bruschini, S., Vitis, C. D., Tabbì, E., Bellei, B., Migliano, E., Kovacs, D., Camera, E., et al. (2018) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-018-0989-7 · Cited by 87 · see citing works
Cell invasion through basement membrane: the anchor cell breaches the barrier
Hagedorn, E. J., & Sherwood, D. R. (2011) · Current Opinion in Cell Biology · doi:10.1016/j.ceb.2011.05.002 · Cited by 86 · see citing works
Mapping human cell phenotypes to genotypes with single-cell genomics
Camp, J. G., Platt, R. J., & Treutlein, B. (2019) · Science · doi:10.1126/science.aax6648 · Cited by 83 · see citing works
A novel network control model for identifying personalized driver genes in cancer
Guo, W.-F., Zhang, S., Zeng, T., Li, Y., Gao, J., & Chen, L. (2019) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1007520 · Cited by 81 · see citing works
Ohol, Y. M., Wang, Z., Kemble, G. W., & Duke, G. M. (2015) · PLoS ONE · doi:10.1371/journal.pone.0144648 · Cited by 74 · see citing works
ZACHO, A., Nielsen, J., & Cederqvist, C. (1975) · PubMed · Cited by 70 · see citing works
Figueroa, B., Fu, W., Nguyen, T. T. T., Shin, K. S., Manifold, B., Wise, F. W., & Fu, D. (2018) · Biomedical Optics Express · doi:10.1364/boe.9.006116 · Cited by 68 · see citing works
Zadran, S., Arumugam, R., Herschman, H., Phelps, M. E., & Levine, R. D. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1414714111 · Cited by 55 · see citing works
Self-citationWu, S., & Näär, A. M. (2019) · Scientific Reports · doi:10.1038/s41598-019-46594-x · Cited by 50 · see citing works
Phenotypic heterogeneity and evolution of melanoma cells associated with targeted therapy resistance
Lü, Y., Bintz, M., Yang, Y., Robert, L., Ng, A. H. C., Liu, V., Ribas, A., Heath, J. R., & Wei, W. (2019) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1007034 · Cited by 49 · see citing works
Self-citationDelgado-Goñi, T., Galobart, T. C., Wantuch, S., Normantaite, D., Leach, M. O., Whittaker, S. R., & Beloueche-Babari, M. (2020) · British Journal of Cancer · doi:10.1038/s41416-019-0628-x · Cited by 39 · see citing works
Su, Y., Liu, C., Lu, X., Li, G., Shao, S., Kong, Y., Lee, J. W., Ng, R. H., Wong, S. K., Robert, L., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/724740 · Cited by 12 · see citing works
Self-citationSpotlight on children. A blueprint for child care.
Barlow, S. (1986) · PubMed · Cited by 2 · see citing works
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Small molecule metabolites: discovery of biomarkers and therapeutic targets
Qiu, S., Cai, Y., Yao, H., Lin, C., Xie, Y., Tang, S., & Zhang, A. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01399-3 · Cited by 939 · see citing works
Raman Spectroscopy for Chemical Biology Research
Dodo, K., Fujita, K., & Sodeoka, M. (2022) · Journal of the American Chemical Society · doi:10.1021/jacs.2c05359 · Cited by 333 · see citing works
Precision Medicine: Disease Subtyping and Tailored Treatment
Wang, R. C., & Wang, Z. (2023) · Cancers · doi:10.3390/cancers15153837 · Cited by 337 · see citing works
Tan, Y., Li, J., Zhao, G., Huang, K., Cárdenas, H., Wang, Y., Matei, D. E., & Cheng, J. (2022) · Nature Communications · doi:10.1038/s41467-022-32101-w · Cited by 317 · see citing works
New software tools, databases, and resources in metabolomics: updates from 2020
Misra, B. B. (2021) · Metabolomics · doi:10.1007/s11306-021-01796-1 · Cited by 227 · see citing works
Cutshaw, G., Uthaman, S., Hassan, N. M., Kothadiya, S., Wen, X., & Bardhan, R. (2023) · Chemical Reviews · doi:10.1021/acs.chemrev.2c00897 · Cited by 206 · see citing works
Letertre, M. P. M., Giraudeau, P., & Tullio, P. D. (2021) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2021.698337 · Cited by 147 · see citing works
The metabolism of melanin synthesis—From melanocytes to melanoma
Snyman, M., Walsdorf, R. E., Wix, S., & Gill, J. G. (2024) · Pigment Cell & Melanoma Research · doi:10.1111/pcmr.13165 · Cited by 151 · see citing works
Lee, J. W., Su, Y., Baloni, P., Chen, D., Pavlovitch-Bedzyk, A. J., Yuan, D., Duvvuri, V. R. S. K., Ng, R. H., Choi, J., Xie, J., et al. (2021) · Nature Biotechnology · doi:10.1038/s41587-021-01020-4 · Cited by 105 · see citing works
Self-citationQi, Y., Liu, Y., & Luo, J. (2023) · PhotoniX · doi:10.1186/s43074-023-00098-0 · Cited by 107 · see citing works
Multiplexed live-cell profiling with Raman probes
Chen, C., Zhao, Z., Qian, N., Wei, S., Hu, F., & Min, W. (2021) · Nature Communications · doi:10.1038/s41467-021-23700-0 · Cited by 99 · see citing works
Fluorescence-Detected Mid-Infrared Photothermal Microscopy
Zhang, Y., Zong, H., Zong, C., Tan, Y., Zhang, M., Zhan, Y., & Cheng, J. (2021) · Journal of the American Chemical Society · doi:10.1021/jacs.1c03642 · Cited by 99 · see citing works
Imagining the future of optical microscopy: everything, everywhere, all at once
Balasubramanian, H., Hobson, C. M., Chew, T., & Aaron, J. (2023) · Communications Biology · doi:10.1038/s42003-023-05468-9 · Cited by 95 · see citing works
Mannose metabolism reshapes T cell differentiation to enhance anti-tumor immunity
Qiu, Y., Su, Y., Xie, E., Cheng, H., Du, J., Xu, Y., Pan, X., Wang, Z., Chen, D. G., Hong, Z., et al. (2024) · Cancer Cell · doi:10.1016/j.ccell.2024.11.003 · Cited by 93 · see citing works
Self-citationZhang, Y., Chang, K., Ogunlade, B., Herndon, L., Tadesse, L. F., Kirane, A. R., & Dionne, J. A. (2024) · ACS Nano · doi:10.1021/acsnano.4c04282 · Cited by 83 · see citing works
Lipid metabolic Reprogramming: Role in Melanoma Progression and Therapeutic Perspectives
Pellerin, L., Carrié, L., Dufau, C., Nieto, L., Ségui, B., Levade, T., Riond, J., & Andrieu‐Abadie, N. (2020) · Cancers · doi:10.3390/cancers12113147 · Cited by 82 · see citing works
Xu, J., Yu, T., Zois, C. E., Cheng, J., Tang, Y., Harris, A. L., & Huang, W. E. (2021) · Cancers · doi:10.3390/cancers13071718 · Cited by 78 · see citing works
Stimulated Raman photothermal microscopy toward ultrasensitive chemical imaging
Zhu, Y., Ge, X., Ni, H., Yin, J., Lin, H., Wang, L., Tan, Y., Dessai, C. V. P., Li, Y., Teng, X., et al. (2023) · Science Advances · doi:10.1126/sciadv.adi2181 · Cited by 78 · see citing works
Profiling single cancer cell metabolism via high-content SRS imaging with chemical sparsity
Tan, Y., Lin, H., & Cheng, J. (2023) · Science Advances · doi:10.1126/sciadv.adg6061 · Cited by 65 · see citing works
Enablers and challenges of spatial omics, a melting pot of technologies
Alexandrov, T., Sáez-Rodríguez, J., & Saka, S. K. (2023) · Molecular Systems Biology · doi:10.15252/msb.202110571 · Cited by 64 · see citing works
Quantitative Stimulated Raman Scattering Microscopy: Promises and Pitfalls
Manifold, B., & Fu, D. (2022) · Annual Review of Analytical Chemistry · doi:10.1146/annurev-anchem-061020-015110 · Cited by 62 · see citing works
Miniaturized Chemical Tags for Optical Imaging
Benson, S., Moliner, F. D., Tipping, W. J., & Vendrell, M. (2022) · Angewandte Chemie International Edition · doi:10.1002/anie.202204788 · Cited by 62 · see citing works
Jia, H., Liu, J., Fang, T., Zhou, Z. D., Li, R., Yin, W., Qian, Y., Wang, Q., Zhou, W., Liu, C., et al. (2023) · Science Advances · doi:10.1126/sciadv.abq2937 · Cited by 58 · see citing works
Theory, innovations and applications of stimulated Raman scattering microscopy
Min, W., Cheng, J., & Ozeki, Y. (2025) · Nature Photonics · doi:10.1038/s41566-025-01707-z · Cited by 58 · see citing works
Ge, X., Pereira, F. C., Mitteregger, M., Berry, D., Zhang, M., Hausmann, B., Zhang, J., Schintlmeister, A., Wagner, M., & Cheng, J. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2203519119 · Cited by 57 · see citing works
Lu, W., Li, H., Qiu, H., Wang, L., Feng, J., & Fu, Y. V. (2023) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.1076965 · Cited by 47 · see citing works
Stimulated Raman Scattering Imaging Sheds New Light on Lipid Droplet Biology
Jia, H., & Yue, S. (2023) · The Journal of Physical Chemistry B · doi:10.1021/acs.jpcb.3c00038 · Cited by 44 · see citing works
Multistage microfluidic cell sorting method and chip based on size and stiffness
Li, G., Ji, Y., Wu, Y., Liu, Y., Liu, Y., Wang, Y., Chi, M., Sun, H., & Zhu, H. (2023) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2023.115451 · Cited by 43 · see citing works
Zhang, S., Fang, T., He, Y., Feng, W., Yu, Z., Zheng, Y., Zhang, C., Hu, S., Liu, Z., Liu, J., et al. (2024) · EBioMedicine · doi:10.1016/j.ebiom.2024.105070 · Cited by 42 · see citing works
Sigle, M., Rohlfing, A., Kenny, M., Scheuermann, S., Sun, N., Graeßner, U., Haug, V., Sudmann, J., Seitz, C. M., Heinzmann, D., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-41417-0 · Cited by 44 · see citing works
Bringing Vibrational Imaging to Chemical Biology with Molecular Probes
Du, J., Wang, H., & Wei, L. (2022) · ACS Chemical Biology · doi:10.1021/acschembio.2c00200 · Cited by 41 · see citing works
Self-citationTan, Z. H., Zhu, C., Han, L., Liao, X., & Wang, C. (2022) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2022.132770 · Cited by 40 · see citing works
Koster, H. J., Guillén, A., Gomez-Diaz, J. S., Navas-Moreno, M., Birkeland, A. C., & Carney, R. P. (2022) · Scientific Reports · doi:10.1038/s41598-022-22197-x · Cited by 40 · see citing works
Hekmatara, M., Baladehi, M. H., Ji, Y., & Xu, J. (2021) · Analytical Chemistry · doi:10.1021/acs.analchem.0c03925 · Cited by 38 · see citing works
Multimodal Metabolic Imaging Reveals Pigment Reduction and Lipid Accumulation in Metastatic Melanoma
Lee, H. J., Chen, Z., Collard, M., Chen, F., Chen, J. G., Wu, M., Alani, R. M., & Cheng, J.-X. (2021) · BME Frontiers · doi:10.34133/2021/9860123 · Cited by 38 · see citing works
Deuterium Raman imaging for lipid analysis
Egoshi, S., Dodo, K., & Sodeoka, M. (2022) · Current Opinion in Chemical Biology · doi:10.1016/j.cbpa.2022.102181 · Cited by 36 · see citing works
Ng, R. H., Lee, J. W., Baloni, P., Diener, C., Heath, J. R., & Su, Y. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.914594 · Cited by 31 · see citing works
Self-citationEmbracing lipidomics at single-cell resolution: Promises and pitfalls
Wang, Z., Cao, M., Lam, S. M., & Shui, G. (2023) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2023.116973 · Cited by 28 · see citing works
High-throughput solutions in tumor organoids: from culture to drug screening
Zuo, J., Fang, Y., Wang, R., & Liang, S. (2024) · Stem Cells · doi:10.1093/stmcls/sxae070 · Cited by 29 · see citing works
Illuminating life processes by vibrational probes
Qian, N., Zhao, Z., Khoury, E. D. E., Gao, X., Canela, C., Shen, Y., Shi, L., Shi, L., Hu, F., Wei, L., et al. (2025) · Nature Methods · doi:10.1038/s41592-025-02689-0 · Cited by 27 · see citing works
Self-citationA Handheld Visible Resonance Raman Analyzer Used in Intraoperative Detection of Human Glioma
Zhang, L., Zhou, Y., Wu, B., Zhang, S., Zhu, K., Liu, C., Yu, X., & Alfano, R. R. (2023) · Cancers · doi:10.3390/cancers15061752 · Cited by 27 · see citing works
Wheeler, K., Gosmanov, C., Sandoval, M. J., Yang, Z., & McCall, L. (2024) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2024.117713 · Cited by 29 · see citing works
Secreted Apoe rewires melanoma cell state vulnerability to ferroptosis
More, S., Bonnereau, J., Wouters, D., Spotbeen, X., Karras, P., Rizzollo, F., Killian, T., Venken, T., Naulaerts, S., Vervoort, E., et al. (2024) · Science Advances · doi:10.1126/sciadv.adp6164 · Cited by 25 · see citing works
Recent Advances in Enhancement of Raman Scattering Intensity for Biological Applications
Tian, S., Zhang, Z., Meng, F., Wang, Z., & Luo, L. (2023) · Chemical & Biomedical Imaging · doi:10.1021/cbmi.3c00017 · Cited by 26 · see citing works
Pinpointing Fat Molecules: Advances in Coherent Raman Scattering Microscopy for Lipid Metabolism
Huang, X., Xue, Z., Zhang, D., & Lee, H. J. (2024) · Analytical Chemistry · doi:10.1021/acs.analchem.4c01398 · Cited by 22 · see citing works
New insights into lipid and fatty acid metabolism from Raman spectroscopy
Greig, J. C., Tipping, W. J., Graham, D., Faulds, K., & Gould, G. W. (2024) · The Analyst · doi:10.1039/d4an00846d · Cited by 25 · see citing works
Dhinakaran, A. K., Dharmalingam, P., Ganesh, S., Venkatakrishnan, K., Das, S., & Tan, B. (2022) · ACS Nano · doi:10.1021/acsnano.2c04160 · Cited by 22 · see citing works
Recent advances in Raman spectroscopy for skin diagnosis
Wu, M. H., Gao, B., & Wei, X. (2023) · Journal of Innovative Optical Health Sciences · doi:10.1142/s1793545823300033 · Cited by 22 · see citing works
Coherent Raman scattering microscopy of lipid droplets in cells and tissues
Zhang, C. (2023) · Journal of Raman Spectroscopy · doi:10.1002/jrs.6540 · Cited by 22 · see citing works
Wang, N., Wang, J., Wang, P., Ji, N., & Yue, S. (2023) · Analytical Chemistry · doi:10.1021/acs.analchem.3c00967 · Cited by 22 · see citing works
Rensonnet, A., Tipping, W. J., Malherbe, C., Faulds, K., Eppe, G., & Graham, D. (2023) · The Analyst · doi:10.1039/d3an01684f · Cited by 21 · see citing works
The Raman Map of the Human Cell
Nowakowska, A. M., Pieczara, A., Korona, W., Borek-Dorosz, A., Adamczyk, A., Dawiec, P., Leszczenko, P., Orleanska, J., Machalska, E., Orzechowska, B., et al. (2025) · Analytical Chemistry · doi:10.1021/acs.analchem.5c02035 · Cited by 21 · see citing works
Coherent Raman scattering microscopy for chemical imaging of biological systems
Zhang, C., & Aldana-Mendoza, J. (2021) · Journal of Physics Photonics · doi:10.1088/2515-7647/abfd09 · Cited by 21 · see citing works
Cheng, X., Liang, H., Li, Q., Wang, J., Liu, J., Zhang, Y., Ru, Y., & Zhou, Y. (2022) · Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy · doi:10.1016/j.saa.2022.121558 · Cited by 19 · see citing works
Zhang, M., Dong, P., Eldesouky, H. E., Zhan, Y., Lin, H., Wang, Z., Salama, E. A., Jusuf, S., Zong, C., Chen, Z., et al. (2023) · Analytical Chemistry · doi:10.1021/acs.analchem.3c00900 · Cited by 19 · see citing works
Raman Spectroscopy as a Tool to Study the Pathophysiology of Brain Diseases
Terrones, O., Olazar‐Intxausti, J., Anso, I., Lorizate, M., Nieto‐Garai, J. A., & Contreras, F. ‐. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24032384 · Cited by 19 · see citing works
Seeing is Believing: Developing Multimodal Metabolic Insights at the Molecular Level
Chadha, R. S., Guerrero, J. A., Wei, L., & Sanchez, L. M. (2024) · ACS Central Science · doi:10.1021/acscentsci.3c01438 · Cited by 17 · see citing works
Self-citationStimulated Raman scattering microscopy in the analysis of cancer cells – A review and own research
Adamczyk, A., Orzechowska, S., Nowakowska, A. M., Brzozowski, K., Majzner, K., & Barańśka, M. (2023) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2023.117366 · Cited by 16 · see citing works
Raman spectroscopy for cell analysis: Retrospect and prospect
Xu, W., Zhu, W., Xia, Y., Hu, S., Liao, G., Xu, Z., Shen, A., & Hu, J. (2024) · Talanta · doi:10.1016/j.talanta.2024.127283 · Cited by 16 · see citing works
Integrative metabolic flux analysis reveals an indispensable dimension of phenotypes
Law, R. C., Lakhani, A., O’Keeffe, S., Erşan, S., & Park, J. O. (2022) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2022.102701 · Cited by 16 · see citing works
Coherent Raman scattering imaging of lipid metabolism in cancer
Zhang, S., He, Y., & Yue, S. (2022) · Journal of Innovative Optical Health Sciences · doi:10.1142/s1793545822300154 · Cited by 15 · see citing works
Koga, K., Kajimoto, S., Yoshizaki, Y., Takahashi, H., Kageyama, L., Konno, T., & Nakabayashi, T. (2024) · The Journal of Physical Chemistry B · doi:10.1021/acs.jpcb.3c06601 · Cited by 15 · see citing works
Liu, H., Jiang, H., Liu, X., & Wang, X. (2023) · Chemical & Biomedical Imaging · doi:10.1021/cbmi.3c00021 · Cited by 15 · see citing works
Wawszczyk, J., Jesse, K., & Kapral, M. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24021115 · Cited by 14 · see citing works
Zhang, J., Shin, J., Tague, N., Lin, H., Zhang, M., Ge, X., Wong, W. W., Dunlop, M. J., & Cheng, J. (2022) · Advanced Science · doi:10.1002/advs.202203887 · Cited by 14 · see citing works
Emerging Approaches for Studying Lipid Dynamics, Metabolism, and Interactions in Cells
Luan, L., Frederick, N. P., & Baskin, J. M. (2025) · Annual Review of Biochemistry · doi:10.1146/annurev-biochem-083024-110827 · Cited by 14 · see citing works
Sarkar, S., & Ghosh, R. (2025) · BBA Advances · doi:10.1016/j.bbadva.2025.100169 · Cited by 13 · see citing works
Analytical Techniques for Single-Cell Biochemical Assays of Lipids
Yao, M., Vaithiyanathan, M., & Allbritton, N. L. (2023) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-110220-034007 · Cited by 13 · see citing works
Lu, S., Huang, Y., Shen, W. X., Cao, Y. L., Cai, M., Chen, Y. X., Tan, Y. C., Jiang, Y., & Chen, Y. (2024) · PNAS Nexus · doi:10.1093/pnasnexus/pgae268 · Cited by 13 · see citing works
Episymbiotic Saccharibacteria induce intracellular lipid droplet production in their host bacteria
Dong, P., Tian, J., Kobayashi-Kirschvink, K. J., Cen, L., McLean, J. S., Bor, B., Shi, W., & He, X. (2024) · The ISME Journal · doi:10.1093/ismejo/wrad034 · Cited by 13 · see citing works
Abecunas, C., Kidd, A. D., Jiang, Y., Zong, H., & Fallahi‐Sichani, M. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114775 · Cited by 12 · see citing works
Single-Cell Profiling of Fatty Acid Uptake Using Surface-Immobilized Dendrimers
Guo, Z., Cheng, H., Li, Z., Shao, S., Sarkar, P., Wang, S., Chaudhuri, R., Perkins, N. G., Ji, F., Wei, W., et al. (2021) · Journal of the American Chemical Society · doi:10.1021/jacs.1c05103 · Cited by 12 · see citing works
Alteration of Lipid Metabolism in Hypoxic Cancer Cells
Gonzalez, G. A., Osuji, E., Fiur, N. C., Clark, M. G., Ma, S., Lukov, L. L., & Zhang, C. (2024) · Chemical & Biomedical Imaging · doi:10.1021/cbmi.4c00050 · Cited by 12 · see citing works
Li, G., Wang, Z. L., Wu, C., Wang, D., Han, I., Lee, J., Kaeli, D. R., Dy, J., Weinberger, K. Q., & Gu, A. Z. (2025) · ISME Communications · doi:10.1093/ismeco/ycaf015 · Cited by 11 · see citing works
Raman spectroscopy as a promising diagnostic method for rheumatoid arthritis
Cao, L., Zheng, X., Han, P., Ren, L., Wang, J., Hu, F., & Li, Z. (2022) · Analytical Methods · doi:10.1039/d2ay01904c · Cited by 11 · see citing works
Gagnon, J. R., Allen, C. H., Trudel, D., Leblond, F., Stys, P. K., Brideau, C., & Murugkar, S. (2023) · Biomedical Optics Express · doi:10.1364/boe.486753 · Cited by 11 · see citing works
Ghislanzoni, S., Kang, J. W., Bresci, A., Masella, A., Kobayashi-Kirschvink, K. J., Polli, D., Bongarzone, I., & So, P. T. C. (2023) · Biosensors · doi:10.3390/bios13110973 · Cited by 11 · see citing works
Braddick, H. J., Tipping, W. J., Grant, E. K., Tomkinson, N. C. O., Faulds, K., & Graham, D. (2025) · Chemical Society Reviews · doi:10.1039/d5cs00748h · Cited by 10 · see citing works
Intracellular spatiotemporal metabolism in connection to target engagement
Zhang, J., Qiu, Z., Zhang, Y. J., Wang, G., & Hao, H. (2023) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2023.115024 · Cited by 10 · see citing works
Zeng, J., Wu, G., Jia, H., Liu, C., Liu, C., Zhang, Y., Liu, S., Wang, J., & Yue, S. (2024) · Analytical Chemistry · doi:10.1021/acs.analchem.4c00306 · Cited by 10 · see citing works
Improved ensemble learning enhanced serum fingerprinting spectroscopy for lung cancer diagnosis
Yang, Z., Zhang, R., Cai, C., Zhang, H., Chen, H., & Kong, J. (2025) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2025.137353 · Cited by 10 · see citing works
Design Principles Of Inorganic‐Protein Hybrid Materials for Biomedicine
Liu, H., Liu, X., Jiang, H., & Wang, X. (2025) · Exploration · doi:10.1002/exp.20240182 · Cited by 10 · see citing works
Du, Y., Li, W., Liu, Y., Wang, Y., & Dou, X. (2025) · Analytical Chemistry · doi:10.1021/acs.analchem.5c01082 · Cited by 10 · see citing works
Genomic Mysteries of Giant Bacteria: Insights and Implications
Ionescu, D., Volland, J., Contarini, P.-E., & Gros, O. (2023) · Genome Biology and Evolution · doi:10.1093/gbe/evad163 · Cited by 10 · see citing works
Confocal Raman microspectral analysis and imaging of the drug response of osteosarcoma to cisplatin
Wang, H., Li, J., Qin, J., Li, J., Chen, Y., Song, D., Zeng, H., & Wang, S. (2021) · Analytical Methods · doi:10.1039/d1ay00626f · Cited by 10 · see citing works
Chemical Approaches for Measuring and Manipulating Lipids at the Organelle LevelPreprint
Uematsu, M., & Baskin, J. M. (2023) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a041407 · Cited by 10 · see citing works
He, W., Liu, R., Fei, F., Xi, S., Du, Z., Luan, Z., Sun, C., & Zhang, X. (2024) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2024.173582 · Cited by 10 · see citing works
Wang, Y., & Chang, T. M. S. (2021) · Artificial Cells Nanomedicine and Biotechnology · doi:10.1080/21691401.2021.1918134 · Cited by 9 · see citing works
LaLone, V., Smith, D., Diaz‐Espinosa, J., & Rosania, G. R. (2023) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2023.115107 · Cited by 9 · see citing works
Complexity of subcellular metabolism: strategies for compartment-specific profiling
More, T. H., & Hiller, K. (2022) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2022.102711 · Cited by 9 · see citing works
Wang, L., Otkur, W., Wang, A., Wang, W., Lyu, Y., Fang, L., Shan, X., Song, M. J., Feng, Y., Zhao, Y. C., et al. (2022) · Frontiers in Pharmacology · doi:10.3389/fphar.2022.906043 · Cited by 9 · see citing works
Signaling and transcriptional dynamics underlying early adaptation to oncogenic BRAF inhibition
Flower, C. T., Liu, C., Chuang, H.-Y., Ye, X., Cheng, H., Heath, J. R., Wei, W., & White, F. M. (2024) · Cell Systems · doi:10.1016/j.cels.2025.101239 · Cited by 8 · see citing works
Self-citationSingle-Molecule Vibrational Thermometry
Kocheril, P. A., Lee, D., Naji, N., Chadha, R. S., Leighton, R., Wang, H., & Wei, L. (2025) · The Journal of Physical Chemistry B · doi:10.1021/acs.jpcb.5c04024 · Cited by 8 · see citing works
Self-citationCrosstalk between COVID-19 Infection and Kidney Diseases: A Review on the Metabolomic Approaches
Murali, R., Wanjari, U. R., Mukherjee, A. G., Gopalakrishnan, A. V., Kannampuzha, S., Namachivayam, A., Madhyastha, H., Renu, K., & Ganesan, R. (2023) · Vaccines · doi:10.3390/vaccines11020489 · Cited by 8 · see citing works
Upregulated Palmitoleate and Oleate Production in Escherichia coli Promotes Gentamicin Resistance
Ye, G., Fan, L., Zheng, Y., Liao, X., Huang, Q., & Su, Y. (2024) · Molecules · doi:10.3390/molecules29112504 · Cited by 8 · see citing works
Self-citationVibrational spectroscopy unveils distinct cell cycle features of cancer stem cells in melanoma
Uslu, B. R., Özdil, B., Tarhan, E., Özçelik, S., Aktuğ, H., & Güler, G. (2025) · Scientific Reports · doi:10.1038/s41598-025-14018-8 · Cited by 7 · see citing works
Stimulated Raman Scattering Imaging Enabled Biomarker Discovery for Precision Medicine
Li, Y., Liu, J., & Yue, S. (2025) · Chemical & Biomedical Imaging · doi:10.1021/cbmi.5c00138 · Cited by 7 · see citing works
Mechanism of Cytotoxic Action of Gold Nanorods Photothermal Therapy for A549 Cell
Hu, M., Wen, C., Liu, J., Cai, P., Meng, N., Qin, X., Xu, P., Li, Z., & Lin, X. (2023) · ACS Applied Bio Materials · doi:10.1021/acsabm.3c00111 · Cited by 7 · see citing works
Raman Imaging Reveals Insights into Membrane Phase Biophysics in Cells
Shen, Y., Wei, L., & Min, W. (2023) · The Journal of Physical Chemistry B · doi:10.1021/acs.jpcb.3c03125 · Cited by 7 · see citing works
Self-citationQin, Y., Shi, Z., Zhu, L., Li, H.-Z., Lu, W., Ye, G., Huang, Q., & Li, C. (2023) · Environmental Science & Technology · doi:10.1021/acs.est.3c04800 · Cited by 7 · see citing works
- Authors
- Du, J., Su, Y., Qian, C., Yuan, D., Miao, K., Lee, D., Ng, A. H. C., Wijker, R. S., Ribas, A., Levine, R. D., Heath, J. R., & Wei, L.
- Affiliations
- California Institute of Technology (US)
- Institute for Systems Biology (US)
- University of California, Los Angeles (US)
- Corresponding author
- Heath, James R.
- Wei, Lu
- ORCID
- Venue
- Nature Communications
- Published
- 2020-09-24
- Volume
- 11
- Issue
- 1
- Pages
- 4830-4830
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC7518429
- OpenAlex
- W3087886129
- Cited by
- 171
- References
- 85
- Citations by year
- 2026: 18 · 2025: 34 · 2024: 32 · 2023: 44 · 2022: 28 · 2021: 14 · 2020: 1
- FWCI
- 10.35
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- California Institute of Technology (start-up)
- U.S. Department of Health & Human Services | National Institutes of Health (U01 CA217655)
- The Parker Institute for Cancer Immunotherapy, the WA State Andy Hill CARE Foundation, and an ISB Innovator Award.
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Spectroscopy Techniques in Biomedical and Chemical Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Lipids, and Metabolism
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
- Keywords
- metastatic melanoma, Raman spectroscopy, stimulated Raman scattering microscopy, single-cell metabolomics, fatty acid synthesis, lipid droplets, BRAF inhibitor resistance, dedifferentiation, lipidomics, transcriptomics, membrane phase separation, apoptosis
- MeSH terms
- Lipidomics, Fatty Acids, Humans, Lipids, Melanoma, Microscopy, Spectrum Analysis, Raman, Stearoyl-CoA Desaturase, Apoptosis, Oleic Acid, Cell Line, Tumor, Lipid Metabolism, Metabolomics, Transcriptome, Lipid Droplets
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 ›
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