|
1.IntroductionFluorescence resonance energy transfer (FRET) is an indispensable tool for monitoring intracellular instantaneous and weak biological processes in real time, including protein–protein interaction,1 conformational changes of proteins,2 activation of proteins kinases,3–6 and dynamic concentration changes of ions.7,8 Quantitative FRET signals, including FRET efficiency () and the concentration ratio () between acceptor and donor molecules, are essential for scientific communication and exact interpretation.9–11 However, the prerequisite of larger overlap between donor emission spectra and acceptor excitation spectra for FRET occurrence inevitably results in a significant overlap between donor and acceptor emission spectra (named as donor emission cross talk).12 Moreover, acceptor can also be excited directly under the excitation wavelengths of donor fluorophores (named as acceptor excitation cross talk).13–16 The two spectral cross talks preclude separation of three spectral components: donor fluorescence, direct excitation acceptor fluorescence, and FRET-sensitized acceptor fluorescence.17 In 1992, Clegg18 described the concept of unmixing fluorescence spectra to gain FRET efficiency. Spectral linear unmixing of emission spectra (Em unmixing) has been widely used for quantitative FRET measurement.14,15,19,20 Contributions of donor and acceptor to the emission spectra of a given FRET pair can be easily resolved by Em unmixing due to their different emission spectra. However, the acceptor excitation cross talk must be corrected using an additional acceptor reference because of the same spectra of direct acceptor emission and FRET-sensitized acceptor emission.13–15,17,21 The concept used for Em unmixing can also be applied to spectral unmixing of excitation spectra (Ex unmixing).22 Moreover, spectral linear unmixing of the combined excitation and emission spectra (ExEm unmixing) has the inherent ability to resolve the donor fluorescence, direct excitation acceptor fluorescence, and FRET-sensitized acceptor fluorescence without additional reference.16,17,22 With the advances of fluorescence spectroscopy and microscopy, ExEm unmixing has been tried for quantitative FRET measurement (ExEm-spFRET method).17,23 In 2013, Mustafa et al.16 demonstrated that ExEm-spFRET measurement with as few as two excitation wavelengths could obtain accurate values and performed ExEm-spFRET measurement on a laser scanning confocal microscope with 405- and 488-nm excitation wavelengths for single living cells expressing a fluorescent Cerulean–Venus tandem construct. We recently set up a spectrometer-microscope (SM) by combining a fiber optic spectrometer and a wide-field fluorescence microscope for fast and high-sensitive quantitative FRET measurement using Em unmixing24 and also developed a wide-field microscope equipped with a liquid crystal tunable filter for quantitative ExEm-spFRET imaging in single living cells.25 In this report, we improved the SM system for implementing quantitative ExEm-spFRET measurement in single living cells. Moreover, a system correction factor () that can be predetermined using a donor–acceptor tandem reference with known FRET efficiency is introduced to modify ExEm-spFRET method (mExEm-spFRET). mExEm-spFRET not only has the inherent ability of resolving the donor emission cross talk and acceptor excitation cross talk without additional reference but also eliminates the influence of the emission transmission characteristics of the instrument used on quantitative FRET measurement. We implemented mExEm-spFRET measurement with four (405, 436, 470, and 480 nm) or two (405 and 470 nm, 405 and 480 nm, 436 and 470 nm, and 436 and 480 nm) excitation wavelengths on our SM platform for single living cells expressing different FRET constructs and obtained consistent and values. Quantitative mExEm-spFRET measurement for HeLa cells coexpressing CFP-Bax and YFP-Bax showed that the values between CFP-Bax and YFP-Bax were about 2.2% independent of for control cells, indicating that Bax did not exist as homooligomer in healthy cells, but positively proportional to in the case of and kept constant value (25%) when for staurosporine (STS)-treated cells, demonstrating that all Bax formed homooligomer after STS treatment for 6 h. 2.Materials and Methods2.1.Improved Spectrometer-MicroscopeThe improved SM consists of a wide-field fluorescence microscope (IX73, Olympus, Japan) equipped with a metal halide lamp (HGLGPS, Olympus, Japan), a NA oil objective (UPLFLN40XO, Olympus, Japan), a CCD (ORCA-Flash 4.0, Hamamatsu, Japan), a fiber optic spectrometer (QE65 Pro, Ocean Optics, Florida), and a customized excitation filters wheel. As shown in Fig. 1, five different bandpass excitation filters are installed in the excitation filters wheel. In our study, four different excitations of (Ex405), (Ex436), (Ex470), and (Ex480) (Chroma, United States) are used for ExEm-spFRET and mExEm-spFRET measurement. Excitation of (Ex510) (Chroma, United States) is used for emp-PbFRET measurement. Excitations of both Ex405 and Ex436 share the same filter cube that contains a DM455 (455-nm dichroic mirror, D455) (Olympus, Japan) and an ET460lp (long-pass emission filter of 460 nm, LP460) (Chroma, United States). Similarly, excitations of both Ex470 and Ex480 share another filter cube that contains a DM490 (490-nm dichroic mirror, D490) (Olympus, Japan) and an ET495lp (long-pass emission filter of 495 nm, LP495) (Chroma, United States). The illumination intensity can be attenuated in seven discrete steps (0%, 3%, 6%, 12%, 25%, 50%, and 100%), and another neutral density filters controller with three discrete steps (1%, 3%, and empty) can be used for the same purpose. Donor excitation and donor detection (DD) cube containing a DM460 (460-nm dichroic mirror, D460) and an ET480/30m (bandpass emission filter of , BP480/30) (Chroma, United States) and acceptor excitation and acceptor detection (AA) cube containing a DM515 (515-nm dichroic mirror, D515) and an ET550/40m (bandpass emission filter of , BP550/40) (Chroma, United States) are used to estimate the coexpression of both donor and acceptor in single living cells. SM has two independent detection modes: (a) microscopic imaging in CCD channel, offering a guidance for finding cells, and (b) spectral detection in spectrometer channel, recording emission spectra of the guided cells in the middle of CCD channel. Each or at the emission wavelength is related to the photons in about a 0.761-nm wavelength range. Spectral detection range is from 460 to 620 nm in this report. 2.2.Modified ExEm-spFRET MethodExEm-spFRET method we recently developed25 is modified using a system correction factor () as follows (mExEm-spFRET): where is the quantum yield ratio of acceptor to donor, is defined as the ratio of total acceptor extinction coefficient to total donor extinction coefficient at all excitation wavelengths, and , , and are the weight factors of donor, acceptor, and donor–acceptor sensitization, respectively. Linearly unmixing the measured excitation–emission spectrum () of an FRET sample into the unit-area-normalized excitation–emission spectral fingerprints of donor () and acceptor () as well as donor–acceptor sensitization () is as follows:25A donor–acceptor tandem reference with known and can be used to predetermine and as follows: In reality, can also be determined using some FRET methods, such as three-cube-based acceptor-sensitized emission method (E-FRET)10 or partial acceptor photobleaching method (emp-PbFRET).26 2.3.Partial Acceptor Photobleaching MethodQuantitative emp-PbFRET measurement was performed on SM for predetermining the of a 1D-nA tandem reference which contains one donor () and acceptor (). Ex436 excitation was used to excite donor (Cerulean/CFP), and Ex510 excitation was used to selectively excite acceptor (Venus/YFP). Donor detection channel () from 470 to 490 nm was used to selectively collect donor emission, and acceptor detection channel () from 530 to 550 nm was used to mainly collect acceptor emission. The value of 1D-nA construct can be measured as follows:11,26 where and are the donor intensity (fluorescence count) in channel with donor excitation before and after partial acceptor photobleaching, respectively. and are the acceptor intensity (fluorescence count) in channel with selective acceptor excitation before and after partial acceptor photobleaching, respectively, and is the photobleaching degree of acceptor calculated as .2.4.Calibration of SMCareful calibration of SM was carried out with a halogen tungsten lamp (ISP-REF-CAL, Ocean Optics, Dunedin, Florida) just as described previously.24 We first used a spectrometer (QE65 Pro, Ocean Optics, Florida) precalibrated by a standard light source (LS-1-CAL, Ocean Optics, Florida) to measure the spectrum [] of the halogen tungsten lamp. We next used the spectrometer to measure the spectrum [] at the export of our microscope when the halogen tungsten lamp was placed on the objective of the microscope. The emission spectral response was calculated using . 2.5.Reagent and PlasmidsPlasmids DNA of Cerulean (C), Venus (V), CFP, and YFP were purchased from Addgene Company (Cambridge, Massachusetts). FRET tandem constructs, including C32V, CVC, and VCV, were kindly provided by the Vogel lab (National Institutes of Health, Bethesda, Maryland).19,27 Plasmids DNA of CFP-Bax and YFP-Bax were kindly provided by Dr. Prehn.1 Plasmid DNA of 18AA was kindly given by Professor Kaminski.11 STS was purchased from Sigma-Aldrich Co. LLC (Santa Clara). 2.6.Cell Culture and TransfectionHeLa cells obtained from the Department of Medicine, Jinan University (Guangzhou, China) were cultured just as described previously.28 When the cells reached 70% to 90% confluence in a 35-mm glass dish, plasmids were transfected into cells by Turbofect™ (Fermentas Inc., Glen Burnie, Maryland) for 24 h. 3.Results and Discussion3.1.Calibration of SMWe first measured the emission spectral responses [] of our SM system as shown in Fig. 7. We used the spectrometer to measure the spectrum [, black solid line] of the halogen tungsten lamp and the spectrum [, black dot line] at the export of our microscope with D455 cube (a) and D490 cube (b), respectively, when the halogen tungsten lamp was placed on the objective of our microscope. for D455 cube and for D490 cube are also shown in Fig. 7 (gray solid line). Throughout the paper, emission count spectra with Ex405 or Ex436 excitation were calibrated with , and emission count spectra with Ex470 or Ex480 excitation were calibrated with . We found that the emission spectral responses measured during six months were constant, demonstrating the excellent stability of our SM system. Although this calibration step is not mandatory for a precalibrated SM during at least six months, we actually performed this calibration step for every mExEm-spFRET measurement, which can be used as a criterion to determine whether SM is stable. In fact, this calibration step is very simple and can be performed within a few minutes. 3.2.Excitation–Emission Spectral FingerprintsLiving HeLa cells exclusively expressed Cerulean (donor) or Venus (acceptor) were used to measure the excitation–emission spectral fingerprints of Cerulean and Venus as well as Cerulean–Venus sensitization on SM. Mean background spectrum with four excitations, respectively, collected from 20 nontransfected (no DNA plasmids and vectors) cells was subtracted from the raw count spectrum from cells expressing fluorescent proteins. Figure 2(a) (left) shows the raw emission count spectra of a representative cell expressing Cerulean-only indicated by red circle (inset) with Ex405, Ex436, Ex470, and Ex480 excitation, respectively. After calibration with , emission spectrum of Cerulean with four excitations, respectively, was divided by the maximum value of emission spectrum with Ex436 excitation to obtain the normalized emission spectra [Fig. 2(a), middle]. The relative fluorescence intensities in emission wavelength range of 510 to 530 nm (CH1) with Ex405, Ex436, Ex470, and Ex480 excitation, respectively, are shown in Fig. 2(a) (right). Similarly, Fig. 2(b) (left) shows the raw emission count spectra of a representative cell expressing Venus-only indicated by red circle (inset) with four excitations. Emission spectrum of Venus with four excitations, respectively, was divided by the maximum value of emission spectrum with Ex480 excitation to obtain the normalized emission spectra [Fig. 2(b), middle]. The relative fluorescence intensities in emission wavelength range of 520 to 540 nm (CH2) with Ex405, Ex436, Ex470, and Ex480 excitation, respectively, are shown in Fig. 2(b) (right). Fluorescence intensities in Fig. 2(a) (middle) with Ex436 excitation and in Fig. 2(b) (middle) with Ex470 excitation are normalized to unit area, respectively, as the emission spectra of Cerulean and Venus. The emission spectra of Cerulean with Ex436 excitation and Venus with Ex470 excitation obtained from at least 20 living HeLa cells expressing Cerulean or Venus were normalized to unit area as the emission spectra of Cerulean (SEM C) and Venus (SEM V) [Fig. 2(c)]. Figure 2(d) shows the unit-area-normalized excitation spectra of Cerulean (SEX C) and Venus (SEX V). The unit-volume-normalized three-dimensional excitation–emission spectral fingerprints of Cerulean (), Venus (), and Cerulean–Venus sensitization () in Fig. 2(e) were calculated by the outer product of SEX C and SEM C, SEX V and SEM V, and SEX C and SEM V, respectively. In reality, and as well as in Fig. 2(e) were reconstructed by equally dividing the normalized intensity values into 25 grades (pseudocolor), and the equal grades were connected with contours. The fact that the normalized emission spectra of fluorescent proteins (FPs) (Cerulean/CFP or Venus/YFP) measured from living HeLa or HepG2 cells expressing different levels of FPs are consistent further demonstrates the notion that the absorption and emission spectra of fluorescent proteins are generally very stable.29,30 Although fluorescence intensity is proportional to the intensity of excitation light, mExEm-spFRET method is independent of the intensity of excitation light. Because three excitation–emission spectral fingerprints (, , and ) are normalized to unit volume, different excitation intensity only affects the weight factors (, , and ) rather than the ratios of weight factors. In reality, we found that the normalized excitation–emission spectral fingerprints of FPs obtained from living HeLa or HepG2 cells were constant during at least six months, indicating that our SM system is very stable. Therefore, the predetermined , , and can be directly used for subsequent quantitative mExEm-spFRET measurement without additional measurement. To offset the random fluctuation of count recorded at different emission wavelength, we summated the fluorescence intensity values in an emission wavelength range (CH1 for Cerulean and CH2 for Venus) rather than at single emission wavelength for Cerulean or Venus to obtain their excitation spectra. In reality, the emission wavelength range of 500 to 530 nm should be a better choice for CH1. 3.3.Predetermination of the Correction Factors ( and )To predetermine the correction factors ( and ), living HeLa cells expressing C32V were excited with Ex405, Ex436, Ex470, and Ex480 excitation, respectively. Figure 3(a) shows the normalized emission spectra of a representative cell expressing C32V with Ex405, Ex436, Ex470, and Ex480 excitation, respectively, with respect to the value of the maximum peak at emission spectrum with Ex436 excitation. Figure 3(b) shows the corresponding excitation–emission spectrum (), which was linearly unmixed according to Eq. (3) to obtain , , and . Next, we used emp-PbFRET method to measure the value of C32V for the same cell. Figure 3(c) shows the fluorescent images of the cell with DD cube (left) and AA cube (right), respectively, before (upper panel) and after (lower panel) partial Venus bleaching. Figure 3(d) shows the corresponding normalized count spectrum with Ex436 (solid line) and Ex510 (dot line) excitation, respectively, before (black) and after (gray) partial Venus bleaching with respect to the maximum value of the count spectrum with Ex436 excitation before partial Venus bleaching (black solid line). We summated the normalized count values in channel and channel, respectively, to obtain , , , and . According to Eq. (6), the corresponding was 28.8%, and the statistical value measured from 15 living HeLa cells was [Fig. 3(e)]. Substituting , , and as well as into Eq. (4) to obtain , where the quantum yield ratio () of Venus (0.57) to Cerulean (0.62) is 0.919,31,32 and into Eq. (5) to obtain was 0.43, where . Statistical and values from 20 cells are and , respectively [Fig. 3(f)]. In many reports, the quantum yield values of donor () and acceptor () from literature were directly quoted for quantitative FRET measurement.11,14,20,25,28 However, real and values are related to not only the optical properties of donor/acceptor but also the emission transmission characteristics of the instrument used. Moreover, it is also inappropriate to consider the and values from literature as the real and within a bandpass emission wavelength range. We here used the to correct the ratio of to () in our SM system. In fact, the product of the ratio quoted from literature and the is the real value in our SM system. Therefore, mExEm-spFRET method can measure the real value rather than the referenced value from literature for quantitative FRET measurement. Generally, is only related to the excitation spectrum of our SM system and the absorption spectra of both donor and acceptor for a given cell line.25 Just as discussed above about the spectral fingerprints, the spectral characteristics of our SM system and donor/acceptor are very stable. Therefore, for a given specific system, the predetermined and can be directly used for subsequent mExEm-spFRET measurement. In reality, we remeasured and values for Cerulean–Venus pair inside HeLa cells on our SM system during six months and obtained consistent and values, further demonstrating the stability of our instrument. 3.4.Implementation of mExEm-spFRET in Single Living HeLa Cells Expressing C + V, CVC, and VCVWe next performed ExEm-spFRET and mExEm-spFRET method, respectively, on SM to measure the and values of single living cells expressing unlinked Cerulean plus Venus (C + V), CVC, and VCV, respectively. We measured four emission spectra of the cells excited with Ex405, Ex436, Ex470, and Ex480, respectively. Figures 4(a)–4(c) show the normalized emission spectra (left) of a representative cell expressing C + V (a, with respect to the value of the maximum peak at emission spectrum with Ex480 excitation), CVC (b, with respect to the value of the maximum peak at emission spectrum with Ex436 excitation), and VCV (c, with respect to the value of the maximum peak at emission spectrum with Ex480 excitation), respectively, with different excitations and the corresponding excitation–emission spectra () (right). The were linearly unmixed according to Eq. (3) to obtain the weight values of donor, acceptor, and donor–acceptor sensitization (Table 1). Substituting these weight values and as well as into mExEm-spFRET method [Eqs. (1) and (2)] to obtain the corresponding and : 3.1% and 1.01 for C + V, 40.4% and 0.54 for CVC, and 69.2% and 2.59 for VCV. In addition, for the same cells, implementation of ExEm-spFRET method exhibited that the and values were 5.5% and 1.21 for C + V, 55.3% and 0.56 for CVC, and 80.4% and 2.04 for VCV. Figure 4(d) shows the statistical and values of C + V, CVC, and VCV from 20 living cells. The values of CVC and VCV obtained by mExEm-spFRET are consistent with those measured by E-FRET method ( for CVC and for VCV).33 Table 1Weight values for different constructs.
We also used mExEm-spFRET method with two excitations to calculate the and values of C + V, C32V, CVC, and VCV constructs, respectively, for the same cells (Table 2). mExEm-spFRET method with Ex405 and Ex470, Ex405 and Ex480, Ex 430 and Ex470, or Ex436 and Ex480 excitations showed consistent results, while mExEm-spFRET method with Ex405 and Ex436 excitations obtained an obviously larger value for CVC construct, which may owe to the similarity of fluorescence intensity spectra with Ex405 and Ex436 excitation, respectively. Ex436 and Ex470 or Ex436 and Ex480 excitations should be good choices for quantitative mExEm-spFRET measurement of CFP/Cerulean and YFP/Venus pairs. In reality, we can perform a quantitative mExEm-spFRET measurement with two excitations within 1 s, which is applicable to the monitoring of dynamical events in single living cells. Table 2E and RC values of constructs measured by mExEm-spFRET with different excitation wavelengths.
3.5.mExEm-spFRET Measurement of C32V in the Presence of Free Donor or Free AcceptorWe also used mExEm-spFRET method with four excitation wavelengths to measure the and values of C32V construct in the presence of free Cerulean or free Venus. Figure 5 shows the plot on a cell-by-cell basis for C + V, C32V, C32V + C, and C32V + V, respectively. Unlinked Cerulean plus Venus (C + V) exhibits very low values independent of (solid squares), whereas C32V exhibits a restricted distribution for (about 30.9%) and (about 1.02) values (solid triangles). The values of C32V + C are positively proportional to the corresponding (open triangles), whereas C32V + V has the same values as C32V (open circles), which is consistent with the previous reports.15,20,34 In reality, high concentration of free Cerulean and free Venus may result in the possibility of spurious FRET efficiency by random collision.35 For some bright cells coexpressing Cerulean and Venus (C + V, solid squares in Fig. 5), donor and acceptor may be within the Förster distance and form “spurious donor–acceptor complex,” which leads to a small systematic increase of as a function of .10,14 Therefore, we should not choose the cells with very high concentration of fluorescent proteins for quantitative measurements. 3.6.mExEm-spFRET Measurement of STS-Induced Bax HomeoligomerizationBax is a proapoptotic protein required for the process of mitochondrial outer membrane permeabilization.1 Some publications, including our previous studies, have demonstrated that STS induces Bax translocation into mitochondria and subsequent homooligomerization.20,28,36 We here performed mExEm-spFRET method on SM for single living HeLa cells coexpressing CFP-Bax and YFP-Bax. A CFP–YFP tandem reference (18AA) was used to predetermine the (1.80) and (0.42) values for CFP–YFP pair on our SM system. As shown in Figs. 6(a) and 6(b), emission spectrum with Ex405, Ex436, Ex470, and Ex480 excitation, respectively, was divided by the maximum value of emission spectrum with Ex436 excitation to obtain the normalized emission spectra. Bax distributed evenly in cytosol in the control cell exhibiting 2.85% of and 0.26 of [Fig. 6(a)], and Bax showed significant clusters in the cell exhibiting 10.23% of and 0.30 of after STS treatment for 6 h [Fig. 6(b)]. Statistical values are for control cells (26 cells) and for STS-treated cells (105 cells), indicating that STS induced the formation of mitochondria-associated Bax clusters. Figure 6(c) shows the plot on a cell-by-cell basis for control (solid squares) and STS-treated (open squares) cells, respectively. As shown in Fig. 6(c), the fact that the FRET efficiency {apparent FRET efficiency []} is very low and independent on the for control cells indicates that Bax does not exist as homooligomer in healthy cells. However, for the STS-treated cells, apparent FRET efficiency () obviously increased in the case of [(DA) increases with or ()] but kept constant in the case of with increasing, further demonstrating that all Bax formed homooligomer after STS treatment for 6 h. 4.ConclusionsWe here set up an improved SM for fast quantitative ExEm-spFRET measurement in single living cells. Our SM system is very stable for at least six months. The modified ExEm-spFRET method (mExEm-spFRET) containing a system correction factor () can be easily performed on our SM platform for quantitative FRET measurement in single living cells. Especially, availability of mExEm-spFRET with two excitation wavelengths enables the SM system to implement real-time and dynamical mExEm-spFRET measurement in single living cells, which is very important for monitoring intracellular rapid biochemical events. AppendicesAppendix:Emission Spectral Responses of SM SystemAs shown in Fig. 7, we carefully measured the emission spectral responses [] of SM system. and were normalized at emission wavelength 620 nm. AcknowledgmentsWe thank Professor S.S. Vogel (NIH/NIAAA) for providing C32V, CVC, and VCV plasmids, Dr. Prehn for providing CFP-Bax and YFP-Bax plasmids, and Professor Kaminski for providing 18AA plasmid. This project was supported by the National Natural Science Foundation of China (Grant Nos. 81471699 and 61527825) and the Science and Technology Plan Project of Guangdong Province (No. 2014B090901060). ReferencesH. Düssmann et al.,
“Single-cell quantification of Bax activation and mathematical modeling suggest pore formation on minimal mitochondrial Bax accumulation,”
Cell Death Differ., 17
(2), 278
–290
(2010). http://dx.doi.org/10.1038/cdd.2009.123 Google Scholar
R. F. Gahl et al.,
“Conformational rearrangements in the pro-apoptotic protein, Bax, as it inserts into mitochondria: a cellular death switch,”
J. Biol. Chem., 289
(47), 32871
–32882
(2014). http://dx.doi.org/10.1074/jbc.M114.593897 JBCHA3 0021-9258 Google Scholar
R. Onuki et al.,
“Confirmation by FRET in individual living cells of the absence of significant amyloid -mediated caspase 8 activation,”
Proc. Natl. Acad. Sci. U. S. A., 99
(23), 14716
–14721
(2002). http://dx.doi.org/10.1073/pnas.232177599 Google Scholar
F. Wang et al.,
“Measuring dynamics of caspase-3 activity in living cells using FRET technique during apoptosis induced by high fluence low-power laser irradiation,”
Lasers Surg. Med., 36
(1), 2
–7
(2005). http://dx.doi.org/10.1002/lsm.20130 Google Scholar
Y. Nagai et al.,
“A fluorescent indicator for visualizing cAMP-induced phosphorylation in vivo,”
Nat. Biotechnol., 18
(3), 313
–316
(2000). http://dx.doi.org/10.1038/73767 NABIF9 1087-0156 Google Scholar
K. Kurokawa et al.,
“A pair of fluorescent resonance energy transfer-based probes for tyrosine phosphorylation of the CrkII adaptor protein in vivo,”
J. Biol. Chem., 276
(33), 31305
–31310
(2001). http://dx.doi.org/10.1074/jbc.M104341200 JBCHA3 0021-9258 Google Scholar
A. Miyawaki et al.,
“Fluorescent indicators for based on green fluorescent proteins and calmodulin,”
Nature, 388
(6645), 882
–887
(1997). http://dx.doi.org/10.1038/42264 Google Scholar
A. Woehler,
“Simultaneous quantitative live cell imaging of multiple FRET-based biosensors,”
PLoS One, 8
(4), e61096
(2013). http://dx.doi.org/10.1371/journal.pone.0061096 Google Scholar
A. D. Hoppe, K. Christensen and J. A. Swanson,
“Fluorescence resonance energy transfer-based stoichiometry in living cells,”
Biophys. J., 83
(6), 3652
–3664
(2002). http://dx.doi.org/10.1016/S0006-3495(02)75365-4 BIOJAU 0006-3495 Google Scholar
T. Zal and N. R. J. Gascoigne,
“Photobleaching-corrected FRET efficiency imaging of live cells,”
Biophys. J., 86
(6), 3923
–3939
(2004). http://dx.doi.org/10.1529/biophysj.103.022087 BIOJAU 0006-3495 Google Scholar
A. D. Elder et al.,
“A quantitative protocol for dynamic measurements of protein interactions by Forster resonance energy transfer-sensitized fluorescence emission,”
J. R. Soc. Interface, 6
(Suppl. 1), S59
–S81
(2009). http://dx.doi.org/10.1098/rsif.2008.0381.focus 1742-5689 Google Scholar
T. Förster,
“Excitation transfer, intermolecular energy transference and fluorescence,”
Ann. Phys., 437
(2), 55
–75
(1948). http://dx.doi.org/10.1002/(ISSN)1521-3889 Google Scholar
T. Zimmermann,
“Spectral imaging and linear unmixing in light microscopy,”
Adv. Biochem. Eng., 95 245
–265
(2005). http://dx.doi.org/10.1007/b102216 Google Scholar
J. Wlodarczyk et al.,
“Analysis of FRET signals in the presence of free donors and acceptors,”
Biophys. J., 94
(3), 986
–1000
(2008). http://dx.doi.org/10.1529/biophysj.107.111773 BIOJAU 0006-3495 Google Scholar
S. Levy et al.,
“SpRET: highly sensitive and reliable spectral measurement of absolute FRET efficiency,”
Microsc. Microanal., 17
(2), 176
–190
(2011). http://dx.doi.org/10.1017/S1431927610094493 MIMIF7 1431-9276 Google Scholar
S. Mustafa et al.,
“Quantitative Förster resonance energy transfer efficiency measurements using simultaneous spectral unmixing of excitation and emission spectra,”
J. Biomed. Opt., 18
(2), 026024
(2013). http://dx.doi.org/10.1117/1.JBO.18.2.026024 JBOPFO 1083-3668 Google Scholar
A. D. Hoppe et al.,
“N-way FRET microscopy of multiple protein–protein interactions in live cells,”
PLoS One, 8
(6), e64760
(2013). http://dx.doi.org/10.1371/journal.pone.0064760 Google Scholar
R. M. Clegg,
“Fluorescence resonance energy transfer and nucleic acids,”
Methods Enzymol., 211 353
–388
(1992). http://dx.doi.org/10.1016/0076-6879(92)11020-J MENZAU 0076-6879 Google Scholar
C. Thaler et al.,
“Quantitative multiphoton spectral imaging and its use for measuring resonance energy transfer,”
Biophys. J., 89
(4), 2736
–2749
(2005). http://dx.doi.org/10.1529/biophysj.105.061853 BIOJAU 0006-3495 Google Scholar
J. W. Zhang et al.,
“Quantitative FRET measurement using emission-spectral unmixing with independent excitation crosstalk correction,”
J. Microsc., 257
(2), 104
–116
(2015). http://dx.doi.org/10.1111/jmi.2015.257.issue-2 JMICAR 0022-2720 Google Scholar
Y. Chen et al.,
“Characterization of spectral FRET imaging microscopy for monitoring nuclear protein interactions,”
J. Microsc., 228
(2), 139
–152
(2007). http://dx.doi.org/10.1111/jmi.2007.228.issue-2 JMICAR 0022-2720 Google Scholar
T. Zimmermann, J. Rietdorf and R. Pepperkok,
“Spectral imaging and its applications in live cell microscopy,”
FEBS Lett., 546
(1), 87
–92
(2003). http://dx.doi.org/10.1016/S0014-5793(03)00521-0 FEBLAL 0014-5793 Google Scholar
J. Yuan et al.,
“Quantitative FRET measurement by high-speed fluorescence excitation and emission spectrometer,”
Opt. Express, 18
(18), 18839
–18851
(2010). http://dx.doi.org/10.1364/OE.18.018839 OPEXFF 1094-4087 Google Scholar
L. Y. Chai et al.,
“Miniature fiber optic spectrometer-based quantitative fluorescence resonance energy transfer measurement in single living cells,”
J. Biomed. Opt., 20
(3), 037008
(2015). http://dx.doi.org/10.1117/1.JBO.20.3.037008 JBOPFO 1083-3668 Google Scholar
M. Y. Du et al.,
“Wide-field microscopic FRET imaging using simultaneous spectral unmixing of excitation and emission spectra,”
Opt. Express, 24
(14), 16037
–16051
(2016). http://dx.doi.org/10.1364/OE.24.016037 OPEXFF 1094-4087 Google Scholar
H. N. Yu et al.,
“An empirical quantitative fluorescence resonance energy transfer method for multiple acceptors based on partial acceptor photobleaching,”
Appl. Phys. Lett., 100
(25), 253701
(2012). http://dx.doi.org/10.1063/1.4729481 APPLAB 0003-6951 Google Scholar
S. V. Koushik, P. S. Blank and S. S. Vogel,
“Anomalous surplus energy transfer observed with multiple FRET acceptors,”
PLoS One, 4
(11), e8031
(2009). http://dx.doi.org/10.1371/journal.pone.0008031 POLNCL 1932-6203 Google Scholar
J. Zhang et al.,
“IIem-spFRET: improved Iem-spFRET method for robust FRET measurement,”
J. Biomed. Opt., 21
(10), 105003
(2016). http://dx.doi.org/10.1117/1.JBO.21.10.105003 JBOPFO 1083-3668 Google Scholar
R. N. Day and M. W. Davidson,
“Fluorescent proteins for FRET microscopy: monitoring protein interactions in living cells,”
Bioessays, 34
(5), 341
–350
(2012). http://dx.doi.org/10.1002/bies.201100098 BIOEEJ 0265-9247 Google Scholar
H. W. Ai et al.,
“Directed evolution of a monomeric, bright and photostable version of Clavularia cyan fluorescent protein: structural characterization and applications in fluorescence imaging,”
Biochem. J., 400
(3), 531
–540
(2006). http://dx.doi.org/10.1042/BJ20060874 Google Scholar
M. A. Rizzo et al.,
“An improved cyan fluorescent protein variant useful for FRET,”
Nat. Biotechnol., 22
(4), 445
–449
(2004). http://dx.doi.org/10.1038/nbt945 NABIF9 1087-0156 Google Scholar
T. Nagai et al.,
“A variant of yellow fluorescent protein with fast and efficient maturation for cell-biological applications,”
Nat. Biotechnol., 20
(7), 87
–90
(2002). http://dx.doi.org/10.1038/nbt0102-87 NABIF9 1087-0156 Google Scholar
H. Chen et al.,
“Measurement of FRET efficiency and ratio of donor to acceptor concentration in living cells,”
Biophys. J., 91
(5), L39
–L41
(2006). http://dx.doi.org/10.1529/biophysj.106.088773 BIOJAU 0006-3495 Google Scholar
L. L. Zhang et al.,
“Spectral wide-field microscopic fluorescence resonance energy transfer imaging in live cells,”
J. Biomed. Opt., 20
(8), 086011
(2015). http://dx.doi.org/10.1117/1.JBO.20.8.086011 JBOPFO 1083-3668 Google Scholar
E. S. Butz et al.,
“Quantifying macromolecular interactions in living cells using FRET two-hybrid assays,”
Nat. Protoc., 11
(12), 2470
–2498
(2016). http://dx.doi.org/10.1038/nprot.2016.128 1754-2189 Google Scholar
S. S. Smaili et al.,
“Bax translocation to mitochondria subsequent to a rapid loss of mitochondrial membrane potential,”
Cell Death Differ., 8
(9), 909
–920
(2001). http://dx.doi.org/10.1038/sj.cdd.4400889 Google Scholar
BiographyFangrui Lin is pursuing his MS degree at South China Normal University. His current research interests include fluorescence microscopy and biomedical optics. Mengyan Du is pursuing her MS degree at South China Normal University. Her current research interests include quantitative fluorescence resonance energy transfer (FRET) imaging. Fangfang Yang is pursuing her doctoral degree at South China Normal University. Her current research interests include quantitative FRET imaging and cell biology. |