Open Access
17 October 2017 Bioorthogonal chemical imaging of metabolic changes during epithelial–mesenchymal transition of cancer cells by stimulated Raman scattering microscopy
Author Affiliations +
Abstract
Study of metabolic changes during epithelial–mesenchymal transition (EMT) of cancer cells is important for basic understanding and therapeutic management of cancer progression. We here used metabolic labeling and stimulated Raman scattering (SRS) microscopy, a strategy of bioorthogonal chemical imaging, to directly visualize changes in anabolic metabolism during cancer EMT at a single-cell level. MCF-7 breast cancer cell is employed as a model system. Four types of metabolites (amino acids, glucose, fatty acids, and choline) are labeled with either deuterium or alkyne ( C≡C) tag. Their intracellular incorporations into MCF-7 cells before or after EMT are visualized by SRS imaging targeted at the signature vibration frequency of C-D or C≡C bonds. Overall, after EMT, anabolism of amino acids, glucose, and choline is less active, reflecting slower protein and membrane synthesis in mesenchymal cells. Interestingly, we also observed less incorporation of glucose and palmitate acids into membrane lipids, but more of them into lipid droplets in mesenchymal cells. This result indicates that, although mesenchymal cells synthesize fewer membrane lipids, they are actively storing energy into lipid droplets, either through de novo lipogenesis from glucose or direct scavenging of exogenous free fatty acids. Hence, metabolic labeling coupled with SRS can be a straightforward method in imaging cancer metabolism.

1.

Introduction

The epithelial–mesenchymal transition (EMT) is a process in which epithelial cells dedifferentiate to become mesenchymal cells.1 It is an essential step in embryonic development, wound healing, and cancer metastasis. Regarding the role of EMT in cancer, metastasis is the primary cause of death of cancer patients.2 To metastasize, stationary epithelial cancer cells switch off expression of epithelial markers such as E-cadherin and lose epithelial characteristics such as cell–cell adhesion and polarity. Meanwhile, cells turn on expression of mesenchymal markers such as vimentin and acquire a mesenchymal morphology and ability to migrate and invade.3,4

Cancer cells in general have elevated anabolic metabolism,3,5 in order to synthesis cellular components for aberrant proliferation. While protein synthesis is tightly controlled in normal cells, this process is dysregulated in cancer cells, leading to fast and uncontrolled protein synthesis.6 Glucose uptake is also generally elevated, in the presence or absence of oxygen (i.e., the Warburg effect).7 The uptaken glucose is believed to serve a variety of functions, including providing building blocks for cell mass synthesis, energy production, redox balance, and lactate secretion.8 Lipogenesis is also upregulated in cancer cells. This includes both de novo lipogenesis from glucose and direct scavenging of exogenous free fatty acids from surroundings.911

Although elevated anabolism in cancer cells is generally accepted, metabolic changes during cancer EMT is not well studied. A few recent works have shed light on this topic, mainly through analysis of gene expression. During EMT, cancer cell protein synthesis is quickly inhibited on loss of cell–cell adhesion to preserve ATP, because protein synthesis consumes a large amount of it.12 In both pancreatic cancer and breast cancer cells, increased expressions are observed for glucose transporters, lactate dehydrogenase A, and lactate exporter MCT4.13,14 Pyruvate entry into the TCA cycle is increased due to decreased activity of pyruvate dehydrogenase kinase 4.15 Oxidative phosphorylation is increased to consume more glucose for ATP production to support mesenchymal cell motility.16 Glucose anabolism in the pentose phosphate pathway, serine biosynthetic pathway, gluconeogenesis, and de novo lipogenesis is all decreased.14,17 Synthesis of phosphatidylcholine, an important component of membrane lipids, seems slower in mesenchymal cells.18 Expression of fatty acid translocase is increased during EMT, suggesting direct scavenging activity.18,19 Together, these results suggest that mesenchymal cells might exhibit faster catabolism and slower anabolism than the epithelial counterpart.

Although the previous work on gene expression provides important insight into metabolic changes during cancer EMT, a direct visualization of the relevant metabolites is lacking, especially at the single-cell level. We here directly compared various metabolisms in the epithelial and mesenchymal cells of the breast cancer cell MCF-7 through stimulated Raman scattering (SRS) microscopy, using deuterium or alkyne tag-labeled amino acids, glucose, choline, and fatty acids. Vibrational imaging by SRS is a rapidly growing field.2024 It is becoming the most powerful vibrational microscopy for biology, owing to its superb sensitivity, imaging speed, three-dimensional optical sectioning, Raman spectral fidelity, a strict linear concentration dependence, straightforward image interpretation, and quantification.2028 Recently, a new bioorthogonal imaging strategy is emerging, by introducing vibrational tags such as deuterium or alkyne labels to small biomolecules.2932 Through deuterium labeling in amino acids, glucose, cholesterol, and fatty acids, SRS microscopy was applied to visualize protein synthesis,32 de novo lipogenesis,33 intracellular cholesterol storage,34 and metabolic activity in live tissues.35,36 Through alkyne labeling of glucose, choline, nucleic acids, and fatty acids, SRS microscopy was applied to study the metabolism of glucose uptake,37 choline metabolism,31 cell proliferation,31,35 and membrane synthesis.31

In this work, we employed deuterium-labeled glucose (D7-Glc), deuterium-labeled amino acids (CD-AA), deuterium-labeled palmitate acid (d31-PA), and alkyne-labeled choline (propargylcholine) to directly study glucose metabolism, protein synthesis, fatty acid metabolism, and choline metabolism, respectively, during EMT of the MCF-7 cell model. Slower protein synthesis and membrane synthesis are observed after EMT. Interestingly, new information regarding the metabolism of lipid droplets has been revealed in mesenchymal cells.

2.

Materials and Methods

2.1.

Stimulated Raman Scattering Microscopy

All laser beams are produced by a custom-modified laser system (picoEMERALD, Applied Physics & Electronics, Inc.). A fundamental 1064-nm Stokes laser (6-ps pulse width) is generated at 80-MHz repetition rate, and its intensity is modulated sinusoidally by an electro-optic-modulator at 8 MHz with >90% modulation depth. A mode-locked pump beam (5- to 6-ps pulse width) is produced by a built-in optical parametric oscillator to have a tunable range of 720 to 990 nm. Both laser beams are coupled into an inverted laser-scanning multiphoton microscope (FV1200MPE, Olympus) with optimized near-IR throughput. The spatial and temporal overlapping of the pump and Stokes beam are achieved using two dichroic mirrors and a delay stage inside the laser system based on the heavy water SRS signal. A 25× water objective (XLPlan N, 1.05 N.A. MP, Olympus) with high near-IR transmission is used to image all samples. The beam sizes of the pump and Stokes laser are adjusted to match the backaperture of the objective. After the sample in the forward-transmitted direction, a high N.A. condenser lens (oil immersion, 1.4 N.A., Olympus) collects both beams in Kohler illumination with high efficiency. Beam motion from laser-scanning is descanned with a telescope and a high O.D. bandpass filter (890/220 CARS, Chroma Technology) is used to block the Stokes beam completely and passes only the pump beam.

A large-area (10  mm×10  mm) silicon photodiode (FDS1010, Thorlabs) is reverse-biased with a 64-DC voltage to maximize the saturation threshold and response bandwidth and is used to collect the entire pump beam. The output photocurrent is electronically filtered to remove both the 80-MHz component of laser pulsing and low frequency fluctuations from scanning motion using an 8-MHz electronic bandpass filter (KR 2724, KR electronics) and is terminated with 50 Ω before entering a radio frequency lock-in amplifier (SR844, Stanford Research Systems). The corresponding voltage signal is demodulated at the reference frequency to extract the stimulated Raman loss signal from the pump beam with near short-noise-limited sensitivity. SRS images are generated by inputting the in-phase signal at the X channel of the lock-in amplifier to the analog interface box (FV10- ANALOG) of the microscope at each pixel and scanning across the whole field of view. 120-mW pump beam and 150-mW Stokes beam, measured after the 25× water objective, are used to image the sample at all frequencies. The demodulation time constant is 30  μs and the imaging pixel dwell time is 100  μs with 26  s/frame (512×512  pixels) for all images. For study of metabolic changes during EMT using metabolic labels, epithelial and mesenchymal cells are imaged under the same SRS microscopy, with the same laser powers and acquisition parameters. To quantitatively compare the metabolism, we summed up the C-D or alkyne SRS intensities of the two-dimensional images of single cells using the software ImageJ. For each metabolic label, more than 30 each of epithelial and mesenchymal cells are calculated and compared to achieve statistical significance.

2.2.

Metabolic Labeling

All deuterium-labeled amino acids (CD-AA), palmitate acid (d31-PA), and d-glucose (D7-Glc) were purchased from Cambridge Isotope. For deuterium-labeled amino acids mediums, we prepared EMEM medium from scratch according to a recipe on atcc.org, replacing all amino acids with their deuterium-labeled version. For the d31-PA incorporation experiment, we simply added 50-μM d31-PA into the complete growth medium of MCF-7. For the D7-Glc incorporation experiment, we prepared EMEM medium from scratch according to a recipe on atcc.org, replacing regular d-glucose with deuterium-labeled D7-d-glucose. Propargylcholine was synthesized in house according to a previously reported method.31,38 For the propargylcholine incorporation experiment, we simply added 1-mM propargylcholine into the complete growth medium of MCF-7. For each labeling experiment, epithelial and mesenchymal cells were cultured in the same media with the same duration.

2.3.

Cell Culture

The MCF-7 cell line was purchased from atcc.org. Cells were grown in a complete medium containing EMEM, 10  μg/ml insulin, 10% FBS, and 1% P&S. For imaging, cells were seeded into plates containing cover slides with a density of 2×104  cell/cm2 and allowed to proliferate for 1 to 2 days. We used the StemXVivo EMT-inducing media supplement from R&D systems. To induce EMT, the complete medium in culture wells was replaced with EMEM, 10  μg/ml insulin and 1× inducing supplement. The inducing medium was replaced with fresh inducing medium every 3 days. After 5 to 8 days, MCF-7 cells became mesenchymal, and the inducing medium was replaced with EMEM containing 10  μg/ml insulin, 10% FBS, and metabolic labels containing C-D bond or CC bond. We allowed 2 days of incorporation of the metabolic labels, and then imaged cells live with the SRS microscope. For comparison, epithelial and mesenchymal MCF-7 cells were studied in parallel.

2.4.

Immunofluorescence

Primary antibodies rabbit anti-vimentin and mouse anti-E-cadherin, and secondary antibodies goat-anti-rabbit antibody conjugated with Alexa488 and goat-anti-mouse antibody conjugated with Alexa647 were all purchased from abcam.com. Epithelial and mesenchymal MCF-7 cells were grown in a glass coverslip and stained with primary antibody at 4°C overnight then stained with secondary antibody for 1 h at room temperature, according to the manufacturer’s instruction. Then, vimentin and E-cadherin distribution were imaged with fluorescence from excitation at 488 and 647 nm, respectively. Cell nuclei were stained with NucBlue from ThermoFisher Scientific and imaged with 2-photon excitation at 780 nm.

3.

Results

Spontaneous Raman spectra of MCF-7 cells grown in unlabeled or labeled mediums are shown in Fig. 1. Without any labels (bottom gray), the spectrum has a silent region in 1800 to 2400  cm1 where no Raman peaks from other biological molecules exist. After culturing in mediums supplemented with labeled metabolites, Raman peaks from incorporated metabolic labels appear in the silent region. Metabolites from deuterium-labeled glucose, amino acids, and palmitate acids all have broad Raman peaks, ranging from 2050 to 2300  cm1, which are from the C-D bonds vibration. For SRS imaging, we pick the highest peaks for each label, i.e., 2133  cm1 for D7-Glc and CD-AA, and 2109  cm1 for d31-PA. In contrast, propargylcholine has a signature sharp Raman peak at 2142  cm1 from the CC alkyne tag.

Fig. 1

(a) Spontaneous Raman spectra of MCF-7 cells cultured with metabolic labels. MCF-7 cells cultured in regular medium do not have any Raman peak in 1800 to 2400  cm1 (gray curve on bottom). Cells cultured in deuterium- or alkyne-labeled metabolites show Raman peaks that are signature of the label (cyan shade). (b) Representative SRS images of MCF-7 cells cultured in mediums with metabolic labels. Left, incorporated metabolites. Middle, cell silent region that is far away from Raman peak of metabolic labels. Right, SRS images at 1655  cm1 from amide vibration that represent intrinsic protein pool. Scale bars, 50  μm.

JBO_22_10_106010_f001.png

Representative SRS images of MCF-7 cultured in the labeled mediums are also shown in Fig. 1(b). Left panels are SRS images targeted at the signature frequencies of the C-D or CC vibrations. When the frequency is moved away to 2000  cm1, where the metabolic labels do not show any Raman signatures, no SRS signals can be detected (middle panels). SRS images of the same cells at a frequency of 1655  cm1 (amide vibration attributed mainly to proteins) show a strong signal from the total protein pool illustrating the cell morphology (right panels).

We next aim to study metabolic changes during EMT of MCF-7 cells. We induced EMT using a standard EMT inducer from R&D systems. We first validated the method by immunofluorescence staining of the cells before and after EMT, using antibodies for E-cadherin and vimentin, which are well-established markers for epithelial and mesenchymal cells, respectively. The images are shown in Fig. 2. As expected, MCF-7 loses E-cadherin and acquires vimentin after EMT. We then followed this validated protocol to induce EMT of MCF-7 for the study of metabolism here. Epithelial and mesenchymal MCF-7 cells are cultured in mediums with d31-PA, D7-Glc, CD-AA, or propargylcholine for 1 to 2 days. SRS images were acquired for both types of cells, and they are shown in Figs. 3Fig. 4Fig. 56.

Fig. 2

Immunofluorescence of MCF-7 shows cells undergo epithelial–mesenchymal transition. Before EMT, cells have bright E-cadherin (red) staining but weak vimentin (green) staining. After EMT, E-cadherin expression decreased while vimentin expression increased. Scale bars, 50  μm.

JBO_22_10_106010_f002.png

Fig. 3

CD-AA incorporation in MCF-7 during EMT. C-D SRS images of mesenchymal cells are darker than epithelial cells, meanwhile mesenchymal cells have lots of lipid droplets, which appear as bright puncta in both C-D and CH2 SRS images. Analysis of image reveals that C-D incorporation decreased by 30% during EMT, reflecting slower protein synthesis. Number of intracellular lipid droplets increased from less than 10 to around 50. Scale bar, 50  μm.

JBO_22_10_106010_f003.png

Fig. 4

Propargylcholine incorporation in MCF-7 during EMT. CC SRS images of mesenchymal cells are darker than epithelial cells. Meanwhile mesenchymal cells have lots of lipid droplets, which appear as bright puncta in both CC and CH2 SRS images. Analysis of image reveals that C-D incorporation decreased by 80% during EMT, reflecting slower membrane synthesis. Number of intracellular lipid droplets increased from less than 10 to around 50. Scale bar, 50  μm.

JBO_22_10_106010_f004.png

Fig. 5

D7-Glc incorporation in MCF-7 during EMT. C-D SRS images of mesenchymal cells are darker than epithelial cells. Meanwhile mesenchymal cells have lots of lipid droplets, which appear as bright puncta in both C-D and CH2 SRS images. Analysis of image reveals that C-D incorporation decreased by 50% during EMT, reflecting slower biomass synthesis. Number of intracellular lipid droplets increased from less than 10 to around 50. Scale bar, 50  μm.

JBO_22_10_106010_f005.png

Fig. 6

d31-PA incorporation in MCF-7 during EMT. In epithelial cells, d31-PA are mainly incorporated into membrane lipids, as evidenced by the resemblance to CH2 of lipids. In mesenchymal cells, d31-PA is also largely incorporated into lipid droplets, which also appear in CH2 lipids channel. Analysis of C-D SRS signal of individual cells reveals that without considering lipid droplets, d31-PA incorporation into membrane lipids is less after EMT. When all lipid droplets are included, overall C-D SRS is higher after EMT. Number of intracellular lipid droplets increased from less than 10 to around 50. Scale bar, 50  μm.

JBO_22_10_106010_f006.png

In Fig. 3, before EMT, CD-AA showed bright C-D SRS intensity, reflecting rapid protein synthesis in epithelial cells. The bright puncta are from nucleoli with fast protein turnover.32 After EMT, C-D SRS intensity in mesenchymal cells is visually darker than epithelial cells, indicating reduced protein synthesis after EMT. Analysis of the images revealed a reduction of around 30% in CD-AA incorporation. This is consistent with reports from other groups that protein synthesis12 is slowed down during cancer EMT. Meanwhile, cells also acquire a large amount of lipid droplets, which appear as bright puncta in the CH2 lipid channel at 2845  cm1. The average number of lipid droplets increased from less than 10 per cell in epithelial cells to around 50 per cell in mesenchymal cells.

Figure 4 shows choline metabolism during EMT of MCF-7 cells. The signal of propargylcholine reflects the synthesis activity of choline phospholipids which is the main component of biological membrane.31,38 Before EMT, the alkyne tag from propargylcholine shows bright SRS images at its peak Raman frequency 2142  cm1, across the whole cell. This reflects active membrane synthesis in rapidly proliferating epithelial cells. After EMT, however, SRS images of the alkyne tag become much dimmer, and the majority of propargylcholine concentrates in the endoplasmic reticulum (ER) region. This reflects that there is less membrane synthesis in mesenchymal cells, which does not proliferate as fast as epithelial cells, and choline is synthesized only into regions where lipids turnover is fast, such as ER. Analysis of image intensity reveals the incorporation of choline reduced by around 80% after EMT. Our imaging result is consistent with reports that choline anabolic metabolism18 is slowed down during cancer EMT.

Figure 5 shows D7-Glc metabolism during MCF-7 EMT. Glucose can be synthesized into proteins, DNA, and lipids inside cells. In epithelial cells, it appears that glucose is incorporated into both proteins and membrane lipids, reflecting fast protein and membrane synthesis in rapidly proliferating epithelial cells. In mesenchymal cells, however, the overall C-D signal is weaker across cytoplasm than epithelial cells, and it is concentrated in bright droplets (indicated by green arrows). These bright droplets also appear on the CH2 SRS channel at a frequency of 2845  cm1 (indicated by green arrows). Therefore, in mesenchymal cells, apart from being synthesized into membrane lipids, glucose is also metabolized and stored into lipid droplets as energy storage. SRS intensity analysis revealed that total incorporation of the C-D from D7-Glc is reduced by around 50% during MCF-7 EMT, and the average number of lipid droplets increased from less than 10 per cell in epithelial cells to around 50 per cell in mesenchymal cells.

Free fatty acids are important building blocks for lipid synthesis for proliferating cells.39 Figure 6 shows the incorporation result of d31-PA. In epithelial cells, the distribution of the C-D SRS signal from d31-PA resembles the SRS signal at 2845  cm1 of CH2 vibration mainly from lipids. Hence, in epithelial cells, d31-PA is actively taken up by cells and incorporated into membrane lipids, reflecting fast membrane synthesis in rapidly proliferating epithelial cells from the scavenging pathway. In mesenchymal cells, membrane C-D SRS is weaker compared with epithelial cells. Moreover, C-D appeared in the bright lipid droplets (indicated by green arrows). These droplets colocalize with lipid droplets in the CH2 channel (indicated by green arrows). SRS intensity analysis of individual cells reveals that, when not considering lipid droplets, d31-PA incorporation into membrane lipids is decreased by around 20% during EMT. However, when lipid droplets are included, the overall intracellular C-D derived from d31-PA increased by around 20% during EMT. Therefore, our data revealed a previously unknown phenomenon: after EMT, membrane synthesis from scavenged free fatty acid is decreased likely due to the decreased cell proliferation, but the overall fatty acids uptake is increased, and the majority of it is converted to triglyceride (which is the major component of lipid droplets) and stored as energy in the form of lipid droplets.

4.

Discussion and Conclusion

Epithelial–mesenchymal transition is a critical step in cancer progression and metastasis. While the metabolism change during EMT has been studied through analysis of mRNA and protein levels of key metabolic enzymes, direct microscopic imaging of metabolism at the single-cell level is challenging, primarily due to lack of imaging probes. By using metabolites that are labeled with distinct vibration tags, here we are able to visualize the metabolism of various small metabolites such as fatty acid, amino acids, glucose, and choline. We found that the incorporation rates of amino acids, choline, and glucose are all decreased by various amounts after EMT. These results indicate the need of mesenchymal cells to restrict biosynthesis of proteins and lipids (which consumes energy) and to preserve energy for its migration and invasion.

Our chemical imaging approach also revealed previous unknown information. The change of glucose metabolism during EMT is not only in its overall incorporation into biomass but also where it is incorporated into (Fig. 5). In epithelial cells, C-D from D7-Glc shows homogeneous distribution across cytoplasm, indicating its incorporation into proteins and membrane lipids. In mesenchymal cells, de novo synthesis from glucose is severely reduced, reflecting the stalled proliferation of mesenchymal cells. However, synthesis of triglycerides in lipid droplets from glucose is obviously increased relative to epithelial cells. Lipid droplet is a form of energy storage, and our result indicates that mesenchymal cells store more energy, and one way to do it is through de novo lipogenesis from glucose. Along a similar line, d31-PA metabolism changes not only quantitatively but also qualitatively (Fig. 6). Epithelial cells mainly build free palmitic acids into membrane lipids, reflecting its needs for fatty acid to sustain fast proliferation. Mesenchymal cells uptake even more fatty acid, although it does not need fatty acid for lipid synthesis. The uptaken fatty acids are not built into membrane but into lipid droplets. Together, the direct imaging approach taken in this study is indispensable in unraveling this microscopic information at subcellular level.

Regarding lipid droplets, here we observed their accumulation in mesenchymal cells, both from the de novo lipogenesis pathway (Fig. 5) and from the fatty acid scavenging pathway (Fig. 6). Recently, the lipid droplet has emerged as an important player in cancer biology.4042 Accumulation of lipid droplets was also observed in prostate cancer cell EMT.43 More malignant tumor tissues tend to accumulate more lipid droplets.40,44 Inhibition of fatty acid synthase reverses the EMT and malignancy of breast cancer and glioblastoma cancer.45,46 Together, it seems that lipid droplets might play important functions in maintaining malignancy and mesenchymal phenotype of cancer cells.

Disclosures

The authors have no relevant financial interests in this article and no potential conflicts of interest to disclose.

Acknowledgments

W. M. acknowledges support from an NIH Director’s New Innovator Award (1DP2EB016573), R01 (EB020892), the US Army Research Office (W911NF-12-1-0594), the Alfred P. Sloan Foundation, and the Camille and Henry Dreyfus Foundation.

References

1. 

S. Lamouille, J. Xu and R. Derynck, “Molecular mechanisms of epithelial-mesenchymal transition,” Nat. Rev. Mol. Cell Biol., 15 178 –196 (2014). http://dx.doi.org/10.1038/nrm3758 NRMCBP 1471-0072 Google Scholar

2. 

P. Mehlen and A. Puisieux, “Metastasis: a question of life or death,” Nat. Rev. Cancer, 6 449 –458 (2006). http://dx.doi.org/10.1038/nrc1886 NRCAC4 1474-175X Google Scholar

3. 

L. N. Li and W. L. Li, “Epithelial-mesenchymal transition in human cancer: comprehensive reprogramming of metabolism, epigenetics, and differentiation,” Pharmacol. Ther., 150 33 –46 (2015). http://dx.doi.org/10.1016/j.pharmthera.2015.01.004 Google Scholar

4. 

W. L. Tam and R. A. Weinberg, “The epigenetics of epithelial-mesenchymal plasticity in cancer,” Nat. Med., 19 1438 –1449 (2013). http://dx.doi.org/10.1038/nm.3336 1078-8956 Google Scholar

5. 

S. C. Dolfi et al., “The metabolic demands of cancer cells are coupled to their size and protein synthesis rates,” Cancer Metab., 1 20 (2013). http://dx.doi.org/10.1186/2049-3002-1-20 Google Scholar

6. 

M. Bhat et al., “Targeting the translation machinery in cancer,” Nat. Rev. Drug Discovery, 14 261 –278 (2015). http://dx.doi.org/10.1038/nrd4505 NRDDAG 1474-1776 Google Scholar

7. 

O. Warburg, F. Wind and E. Negelein, “The metabolism of tumors in the body,” J. Gen. Physiol., 8 519 –530 (1927). http://dx.doi.org/10.1085/jgp.8.6.519 JGPLAD 0022-1295 Google Scholar

8. 

M. V. Liberti and J. W. Locasale, “The Warburg Effect: how does it benefit cancer cells?,” Trends Biochem. Sci., 41 211 –218 (2016). http://dx.doi.org/10.1016/j.tibs.2015.12.001 Google Scholar

9. 

V. W. Daniëls et al., “Cancer cells differentially activate and thrive on de novo lipid synthesis pathways in a low-lipid environment,” PLoS One, 9 e106913 (2014). http://dx.doi.org/10.1371/journal.pone.0106913 POLNCL 1932-6203 Google Scholar

10. 

C.-H. Yao et al., “Exogenous fatty acids are the preferred source of membrane lipids in proliferating fibroblasts,” Cell Chem. Biol., 23 483 –493 (2016). http://dx.doi.org/10.1016/j.chembiol.2016.03.007 Google Scholar

11. 

F. P. Kuhajda, “Fatty-acid synthase and human cancer: new perspectives on its role in tumor biology,” Nutrition, 16 202 –208 (2000). http://dx.doi.org/10.1016/S0899-9007(99)00266-X NUTRER Google Scholar

12. 

T. L. Ng et al., “The AMPK stress response pathway mediates anoikis resistance through inhibition of mTOR and suppression of protein synthesis,” Cell Death Differ., 19 501 –510 (2011). http://dx.doi.org/10.1038/cdd.2011.119 Google Scholar

13. 

M. H. Liu et al., “Epithelial-mesenchymal transition induction is associated with augmented glucose uptake and lactate production in pancreatic ductal adenocarcinoma,” Cancer Metab., 4 19 (2016). http://dx.doi.org/10.1186/s40170-016-0160-x Google Scholar

14. 

Y. Kondaveeti, I. K. G. Reed and B. A. White, “Epithelial-mesenchymal transition induces similar metabolic alterations in two independent breast cancer cell lines,” Cancer Lett., 364 44 –58 (2015). http://dx.doi.org/10.1016/j.canlet.2015.04.025 CALEDQ 0304-3835 Google Scholar

15. 

Y. Sun et al., “Metabolic and transcriptional profiling reveals pyruvate dehydrogenase kinase 4 as a mediator of epithelial-mesenchymal transition and drug resistance in tumor cells,” Cancer Metab., 2 20 (2014). http://dx.doi.org/10.1186/2049-3002-2-20 Google Scholar

16. 

V. S. LeBleu et al., “PGC-1α mediates mitochondrial biogenesis and oxidative phosphorylation in cancer cells to promote metastasis,” Nat. Cell Biol., 16 992 –1003 (2014). http://dx.doi.org/10.1038/ncb3039 NCBIFN 1465-7392 Google Scholar

17. 

L. Jiang et al., “Metabolic reprogramming during TGF[beta]1-induced epithelial-to-mesenchymal transition,” Oncogene, 34 3908 –3916 (2015). http://dx.doi.org/10.1038/onc.2014.321 ONCNES 0950-9232 Google Scholar

18. 

M. Jechlinger et al., “Expression profiling of epithelial plasticity in tumor progression,” Oncogene, 22 7155 –7169 (2003). http://dx.doi.org/10.1038/sj.onc.1206887 ONCNES 0950-9232 Google Scholar

19. 

A. Nath and C. Chan, “Genetic alterations in fatty acid transport and metabolism genes are associated with metastatic progression and poor prognosis of human cancers,” Sci. Rep., 6 18669 (2016). http://dx.doi.org/10.1038/srep18669 SRCEC3 2045-2322 Google Scholar

20. 

C. H. Camp and M. T. Cicerone, “Chemically sensitive bioimaging with coherent Raman scattering,” Nat. Photonics, 9 295 –305 (2015). http://dx.doi.org/10.1038/nphoton.2015.60 NPAHBY 1749-4885 Google Scholar

21. 

J. X. Cheng and X. S. Xie, “Vibrational spectroscopic imaging of living systems: an emerging platform for biology and medicine,” Science, 350 aaa8870 (2015). http://dx.doi.org/10.1126/science.aaa8870 SCIEAS 0036-8075 Google Scholar

22. 

C. S. Liao and J. X. Cheng, “In situ and in vivo molecular analysis by coherent raman scattering microscopy,” Annu. Rev. Anal. Chem., 9 69 –93 (2016). http://dx.doi.org/10.1146/annurev-anchem-071015-041627 Google Scholar

23. 

W. Min et al., “Coherent nonlinear optical imaging: beyond fluorescence microscopy,” Annu. Rev. Phys. Chem., 62 507 –530 http://dx.doi.org/10.1146/annurev.physchem.012809.103512 ARPLAP 0066-426X Google Scholar

24. 

C. Krafft et al., “Developments in spontaneous and coherent Raman scattering microscopic imaging for biomedical applications,” Chem. Soc. Rev., 45 1819 –1849 (2016). http://dx.doi.org/10.1039/C5CS00564G CSRVBR 0306-0012 Google Scholar

25. 

A. Einstein, “On the quantum theory of radiation,” Phys. Z., 18 121 –128 (1917). Google Scholar

26. 

N. Bloembergen, “Stimulated Raman effect,” Am. J. Phys., 35 989 –1023 (1967). http://dx.doi.org/10.1119/1.1973774 AJPIAS 0002-9505 Google Scholar

27. 

C. W. Freudiger et al., “Label-free biomedical imaging with high sensitivity by stimulated Raman scattering microscopy,” Science, 322 1857 –1861 (2008). http://dx.doi.org/10.1126/science.1165758 SCIEAS 0036-8075 Google Scholar

28. 

B. G. Saar et al., “Video-rate molecular imaging in vivo with stimulated Raman scattering,” Science, 330 1368 –1370 (2010). http://dx.doi.org/10.1126/science.1197236 SCIEAS 0036-8075 Google Scholar

29. 

L. Wei et al., “Live-cell bioorthogonal chemical imaging: stimulated Raman scattering microscopy of vibrational probes,” Acc. Chem. Res., 49 1494 –1502 (2016). http://dx.doi.org/10.1021/acs.accounts.6b00210 ACHRE4 0001-4842 Google Scholar

30. 

S. L. Hong et al., “Live-cell stimulated Raman scattering imaging of alkyne-tagged biomolecules,” Angew. Chem. Int. Ed., 53 5827 –5831 (2014). http://dx.doi.org/10.1002/anie.201400328 Google Scholar

31. 

L. Wei et al., “Live-cell imaging of alkyne-tagged small biomolecules by stimulated Raman scattering,” Nat. Methods, 11 410 –412 (2014). http://dx.doi.org/10.1038/nmeth.2878 Google Scholar

32. 

L. Wei et al., “Vibrational imaging of newly synthesized proteins in live cells by stimulated Raman scattering microscopy,” Proc. Natl. Acad. Sci. U. S. A., 110 11226 –11231 (2013). http://dx.doi.org/10.1073/pnas.1303768110 Google Scholar

33. 

J. J. Li and J. X. Cheng, “Direct visualization of de novo lipogenesis in single living cells,” Sci. Rep., 4 6807 (2014). http://dx.doi.org/10.1038/srep06807 Google Scholar

34. 

A. Alfonso-Garcia et al., “D38-cholesterol as a Raman active probe for imaging intracellular cholesterol storage,” J. Biomed. Opt., 21 061003 (2016). http://dx.doi.org/10.1117/1.JBO.21.6.061003 JBOPFO 1083-3668 Google Scholar

35. 

F. H. Hu et al., “Bioorthogonal chemical imaging of metabolic activities in live mammalian hippocampal tissues with stimulated Raman scattering,” Sci. Rep., 6 39660 (2016). http://dx.doi.org/10.1038/srep39660 SRCEC3 2045-2322 Google Scholar

36. 

L. Wei et al., “Imaging complex protein metabolism in live organisms by stimulated Raman scattering microscopy with isotope labeling,” ACS Chem. Biol., 10 901 –908 (2015). http://dx.doi.org/10.1021/cb500787b Google Scholar

37. 

F. H. Hu et al., “Vibrational imaging of glucose uptake activity in live cells and tissues by stimulated Raman scattering,” Angew. Chem. Int. Ed., 54 9821 –9825 (2015). http://dx.doi.org/10.1002/anie.201502543 Google Scholar

38. 

C. Y. Jao et al., “Metabolic labeling and direct imaging of choline phospholipids in vivo,” Proc. Natl. Acad. Sci., 106 15332 –15337 (2009). http://dx.doi.org/10.1073/pnas.0907864106 Google Scholar

39. 

C.-H. Yao et al., “Exogenous fatty acids are the preferred source of membrane lipids in proliferating fibroblasts,” Cell Chem. Biol., 23 483 –493 (2016). http://dx.doi.org/10.1016/j.chembiol.2016.03.007 Google Scholar

40. 

L. Tirinato et al., “Lipid droplets: a new player in colorectal cancer stem cells unveiled by spectroscopic imaging,” Stem Cells, 33 35 –44 (2015). http://dx.doi.org/10.1002/stem.1837 Google Scholar

41. 

S. Koizume and Y. Miyagi, “Lipid droplets: a key cellular organelle associated with cancer cell survival under normoxia and hypoxia,” Int. J. Mol. Sci., 17 (9), E1430 (2016). http://dx.doi.org/10.3390/ijms17091430 1422-0067 Google Scholar

42. 

J. Li et al., “Lipid desaturation is a metabolic marker and therapeutic target of ovarian cancer stem cells,” Cell Stem Cell, 20 303 –314.e305 http://dx.doi.org/10.1016/j.stem.2016.11.004 Google Scholar

43. 

N. Dalmau et al., “Epithelial-to-mesenchymal transition involves triacylglycerol accumulation in DU145 prostate cancer cells,” Mol. Biosyst., 11 3397 –3406 (2015). http://dx.doi.org/10.1039/C5MB00413F MBOIBW 1742-206X Google Scholar

44. 

S. Yue et al., “Cholesteryl ester accumulation induced by PTEN Loss and PI3K/AKT activation underlies human prostate cancer aggressiveness,” Cell Metab., 19 393 –406 (2014). http://dx.doi.org/10.1016/j.cmet.2014.01.019 1550-4131 Google Scholar

45. 

A. M. Gonzalez-Guerrico et al., “Suppression of endogenous lipogenesis induces reversion of the malignant phenotype and normalized differentiation in breast cancer,” Oncotarget, 7 71151 –71168 (2016). https://doi.org/10.18632/oncotarget.9463 Google Scholar

46. 

Y. Yasumoto et al., “Inhibition of fatty acid synthase decreases expression of stemness markers in glioma stem cells,” PLoS One, 11 (1), e0147717 (2016). http://dx.doi.org/10.1371/journal.pone.0147717 POLNCL 1932-6203 Google Scholar

Biography

Luyuan Zhang received her PhD in chemical physics in 2010 from The Ohio State University. She is currently a postdoctoral research scientist at Columbia University working on imaging abnormal metabolism in morbid animal models. Her research interests are in developing and applying innovative nonlinear Raman microscopy for studies of various cellular activities.

Wei Min graduated from Peking University, China, with a bachelor’s degree in 2003. He received his PhD in chemistry from Harvard University in 2008 with Prof. Sunney Xie. After continuing his postdoctoral work in the Xie group, he joined the Faculty of Department of Chemistry at Columbia University in July 2010. He is currently a professor there, and his research interests focus on developing innovative optical spectroscopy and microscopy technology to address biomedical problems.

© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE) 1083-3668/2017/$25.00 © 2017 SPIE
Luyuan Zhang and Wei Min "Bioorthogonal chemical imaging of metabolic changes during epithelial–mesenchymal transition of cancer cells by stimulated Raman scattering microscopy," Journal of Biomedical Optics 22(10), 106010 (17 October 2017). https://doi.org/10.1117/1.JBO.22.10.106010
Received: 12 July 2017; Accepted: 27 September 2017; Published: 17 October 2017
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KEYWORDS
Cancer

Glucose

Mode conditioning cables

Proteins

Imaging spectroscopy

Microscopy

Raman spectroscopy

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