Abstract
Autophagy is a dynamic process of bulk degradation of cellular proteins and organelles in lysosomes. Current methods of autophagy measurement include microscopy-based counting of autophagic vacuoles (AVs) in cells. We have developed a novel method to quantitatively analyze individual AVs using flow cytometry. This method, OFACS (organelle flow after cell sonication), takes advantage of efficient cell disruption with a brief sonication, generating cell homogenates with fluorescently labeled AVs that retain their integrity as confirmed with light and electron microscopy analysis. These AVs could be detected directly in the sonicated cell homogenates on a flow cytometer as a distinct population of expected organelle size on a cytometry plot. Treatment of cells with inhibitors of autophagic flux, such as chloroquine or lysosomal protease inhibitors, increased the number of particles in this population under autophagy inducing conditions, while inhibition of autophagy induction with 3-methyladenine or knockdown of ATG proteins prevented this accumulation. This assay can be easily performed in a high-throughput format and opens up previously unexplored avenues for autophagy analysis.
Introduction
Macroautophagy (autophagy hereafter) is a well-conserved cellular catabolic process of self-degradation through the lysosomal machinery, and plays an important role in both normal physiology and diseases [1]. Autophagy is a complex and dynamic process, which is challenging to measure accurately [2], [3]. Commonly used methods to analyze autophagy include counting specific intracellular autophagic compartments that form during this process, using light microscopy or proper volumetric morphometry by electron microscopy.[2] For example, specific marker proteins attached to fluorescent tags such as mCherry-GFP-LC3B [4], or acidotropic dyes such as acridine orange (AO) or LysoTracker probes [2], [3], can be used to label autophagic or acidic compartments. Typically, image-based analysis is employed to analyze the fluorescent puncta observed under a microscope.
Microscopy analysis has certainly proven its value, but there are several disadvantages. Image acquisition and analysis are labor intensive and time consuming, prone to visual artifacts, and require large data storage space and expensive analysis softwares. In addition, it is often necessary to take multiple focus planes (z-sections) and fields, which require deconvolution to achieve unbiased measurement. As a result, microscopy analysis is relatively low throughput. Flow cytometry offers the advantage of analyzing a large number of cells on a cell-by-cell basis with more than 10 different fluorescent and light parameters available at the same time, but it lacks the capability to analyze intracellular structures, which is achievable with microscopy. To bridge this gap, we sought to develop an assay that could combine the advantages of both methods and apply it to measuring autophagy.
Whole cell flow cytometry has been previously described to monitor autophagy in a few publications,[4], [5], [6], [7], [8] which used whole-cell fluorescence intensity of AO or fluorescently tagged autophagy marker LC3B without counting individual AVs. In addition, FAOS (fluorescence-activated organelle sorting) has been described [9] as a method to sort labeled and gradient-purified organelles such as endosomes [10], or lysosomes, for which the term SOFA (single organelle flow analysis) has also been introduced [11]. The concept of “single organelle fluorescence analysis” was first used by Murphy's group to sort purified single organelles by flow cytometry [12]. Flow analyses of purified organelles, such as endosomes [13], mitochondria [14], phagosomes [15], and more recently autophagosomes and lysosomes [16], have been reported using various fluorescent probes. These reports relied on the established preparative methods for isolation and characterization of pure organelle fractions, including autophagosomes [11], [17], [18], [19], [20], which usually involve elaborate procedures that take several days, and are designed to isolate pure fractions from a single sample, usually starting from a large amount of material.
We have developed an assay aimed to achieve the following properties: easy to perform with a simple procedure, directly analyzing individual AVs both qualitatively and quantitatively, high throughput potential, using very limited sample amount, and applicable to measuring autophagy. In this report, we describe this novel quantitative method using flow cytometry to analyze AVs in crude cell homogenates directly after a brief sonication, which we termed OFACS (Organelle Flow After Cell Sonication).
Results
Sonication efficiently disrupted cells and released AVs that retained their integrity
Inhibition of the class I PI3K/Akt/mTOR pathway has been shown to activate autophagy [21], [22]. We employed two recently developed specific inhibitors of this pathway to generate cells with activated autophagy: the class I-selective PI3K (unless specified otherwise, PI3K refers to class I PI3K hereafter) inhibitor GDC-0941 [23] and the pan-Akt kinase inhibitor GDC-0068 [24]. Due to the dynamic nature of the autophagy flux the lifetime of the AVs can be very short and significant changes in AV numbers can be difficult to detect. To facilitate the detection of autophagic vacuoles, we also treated cells with the well-established inhibitors of autophagy flux, such as the lysosomotropic agent chloroquine (CQ) and lysosomal protease inhibitors, to prevent turnover and promote accumulation of AVs [21], [22].
Consistent with autophagy induction by inhibition of the PI3K/Akt/mTOR pathway, PC3 cells treated with the PI3K inhibitor GDC-0941 or the Akt inhibitor GDC-0068 alone showed a mild increase in acidic vesicles labeled by AO or LysoTracker Red observed under fluorescent microscopes (Fig. S1A–C). Co-treatment with the weak base CQ resulted in markedly increased accumulation of these vesicles, consistent with our previous reports [21], [22]. The majority of the acidic vesicles under GDC-0941 (or GDC-0068) and CQ co-treatment are likely AVs blocked by CQ at a stage that are acidic enough to be labeled with the acidotropic dyes, yet not acidic enough to complete the autophagic degradation. Western blot analysis of cell lysates after treatment by GDC-0941 and GDC-0068 showed increased degradation of p62 that was blocked by CQ, and the enhanced accumulation of LC3B-II in the presence of both the inhibitors and CQ, consistent with autophagic induction by the PI3K/Akt inhibitors that was blocked by CQ at the degradation step (Fig. S1D). The accumulation of LC3B-II and p62 could be detected as early as 3–6 hours and reached maximum between 24 and 48 hours, therefore most of our subsequent experiments were performed at 24 or 48 hours.
To open up the cells and release the vacuoles, PC3 cells treated with GDC-0941 and CQ were stained with AO and then subjected to sonication for an increasing number of 1-second (1s) pulses. Cell homogenates were then analyzed using a flow cytometer. As seen on a forward scatter (FSC) vs side scatter (SSC) plot ( Fig. 1A & Fig. S1E & F), three 1s pulses of sonication efficiently disintegrated the cells and produced a distinct population with an estimated size range of organelles about 100–1000 times smaller than the population of intact cells. As shown in Fig. 1B , the number of organelles reached maximum and is stable within a range of 1–5 pulses. Meanwhile, there was a corresponding drop in the number of intact cells as the number of organelles increased. AO is a weak base that moves freely across biological membranes when uncharged. Its protonated form accumulates in acidic compartments, where it forms aggregates that fluoresce bright red, whereas the cytoplasm and the nucleus showed dominant green fluorescence. Microscopy analysis of cells that were stained with AO followed by 3 x 1s pulses of sonication confirmed the release of vacuoles that maintained their integrity as suggested by their retention of the red fluorescent AO staining after sonication, similar to those inside an unbroken cell ( Fig. 1C vs D ). Microscopy analysis of cells lysed after labeling with LysoTracker Green and sonication (Fig. S2A) also confirmed the release of labeled intact vacuoles after sonication.
Since AO can stain acidic vesicles other than AVs, we also analyzed PC3 cells stably expressing a pH-sensitive autophagy reporter mCherry-eGFP-LC3B [25]. Treatment of these cells with GDC-0941 or GDC-0068 alone induced an increased number of red puncta, which represent the acidic autophagolysosomes (autophagosome-lysosome fusion) and amphisomes (autophagosome-endosome fusion) due to the acid-labile feature of GFP but not mCherry, indicating rapid dynamics of the autophagic flux induced by these treatments (Fig. S2B,C). In the presence of CQ, these treatments induced a strong accumulation of vacuoles that fluoresced both green and red and appeared “yellow” in the merged images taken under a fluorescence microscope, representing AVs of lower acidity due to inhibition of the acidification and fusion of autophagosomes with lysosomes or endosomes by CQ [16]. PC3 expressing cells mCherry-eGFP-LC3B were treated with GDC-0941 and CQ and subjected to sonication as described above. As shown in Fig. 1E , sonication released AVs that retained their fluorescence properties in the cell homogenate. Finally, transmission electron microscopy (TEM) analysis of intact and sonicated cell homogenates revealed that the homogenates consists of autophagic vacuoles that appear very similar to the structures in intact cells ( Fig. 2 ). 3 x 1s sonication was therefore chosen as a standard method for all subsequent studies.
Pharmacologically induced AVs can be individually detected by OFACS from sonicated cells stained with AO or other acidotropic dyes
Flow cytometric analysis of the cell homogenates from PC3 cells treated with GDC-0941 and CQ for 2 days revealed a dramatic increase in the AO-stained population ( Fig. 3A,B ), consistent with microscopy observations (Fig. S1A). When plotted by the signals detected in the FITC (green) vs PerCP (red) channels, the subcellular population, as defined in Fig. 1A , showed an increased percentage of particles with high “red” and low “green” signals in the cells treated with both GDC-0941 and CQ compared to “no drug” control, GDC-0941 or CQ alone groups ( Fig. 3A,B ), consistent with an increase in the accumulation of AO+ AVs induced by this treatment. GDC-0941 treatment alone also caused a small increase in this population, consistent with an increased flux to acidic compartments resulting from increased autophagy. Similar results were obtained with the Akt inhibitor GDC-0068 and CQ ( Fig. 3C ). This accumulation of AO+ subcellular events is greatly reduced by the knockdown of Atg5 and Atg7 genes, which are crucial for the formation of AVs ( Fig. 3C & Fig. S3).[2] Detection of the AO+ event accumulation by OFACS could also be observed with other late-stage autophagy inhibitors such as the lysosomal protease inhibitor leupeptin or a protease inhibitor cocktail P1860 ( Fig. 3D,E ). This effect was dependent on the concentration of the inhibitors and observed for both PI3K and Akt inhibitors, with 10 µM CQ showing the strongest effect among the agents tested. This may reflect the general inhibition of lysosomal proteases by CQ due to its acidotropic effect, compared to the more selective activities of the other protease inhibitors.
Remarkably, four related readout outputs: 1) normalized total number of “subcellular” events (all events were normalized to cell number used in the sonication); 2) normalized number of AO+ or LysoTracker Red+ subcellular events; 3) total “red” channel intensity (red signal) of AO+ subcellular events; and 4) percentage of AO+ subcellular events of the total “subcellular” population showed very similar results qualitatively (Fig. S4A–E). The “total signal intensity” parameter provides a three-dimensional volume measurement of the fluorescence signal from all labeled organelles, which would normally require z-series and de-convolution procedures to approximate by conventional microscopy. The “percentage of AO+ events” of the total “subcellular” population parameter does not require cell number normalization, and therefore could be more useful in a high-throughput setting. Interestingly, these data suggest that the total normalized number of the “subcellular” events measured in this assay can be used as an independent parameter to characterize the degree of autophagy in the absence of a specific marker under conditions known to induce accumulation of AVs, when the majority of organelles accumulated under these conditions are AVs, which should be verified using classical assays such as EM or light microscopy.
Similar results were obtained in a different cell line, HEK293, where we also compared the use of AO to LysoTracker Red in labeling acidic vesicles (Fig. S4F–H). The normalized numbers of dye-positive vacuoles were very close for the two dyes.
This assay was easily adaptable to 96 or 384-well format, allowing high throughput measurements such as time-course treatments, concentration curves, determination of combination effects of drug treatment that can be calculated using the bliss analysis [26] (Fig. S4I–K & Fig. S5A–D).
Pharmacologically induced AVs can be individually detected by OFACS using cells expressing fluorescently tagged LC3B protein
To date, the LC3B protein represents the best-characterized specific marker for autophagosomes [2], [3]. Here, we show that the pH-sensitive fluorescently tagged mCherry-eGFP-LC3B protein can be used as a marker for AV detection by OFACS ( Fig. 4 ). Consistent with microscopy images of cells treated with GDC-0941 or GDC-0068 +/− CQ shown in Fig. S2B, combined treatment with GDC-0941 and CQ increased the percentage of the organelles positive for both mCherry and eGFP fluorescence ( Fig. 4A ) and the normalized number of double positive events ( Fig. 4B ). Similar effect was observed with GDC-0068. This could be effectively prevented by knockdown of Atg5 or Atg7 with siRNA, similar to that observed with AO staining ( Fig. 4B ). In addition, CQ-mediated double positive event accumulation could be phenocopied with other lysosomal protease inhibitors ( Fig. 4C,D ). Similarly, when the singly fluorescence-tagged eGFP-LC3B was used as a marker, GDC-0941 and CQ co-treatment also induced strong accumulation of eGFP+ AVs that can be readily detected by OFACS (Fig. S6A–C & Fig. 4A bottom control cells). We also used singly RFP-labeled LC3B as a marker, and compared that to a lipidation-defective mutant of LC3B, LC3B-G120A [27]. As expected, LC3B-F120A-RFP failed to form AV puncta when compared to wild-type LC3B-RFP in PC3 cells treated with GDC-0941 and CQ, and did not form the RFP+ subcellular population that could be detected with the wild-type LC3B-RFP (Fig. S7A–D). These data demonstrate the specificity of the RFP+ population defined by the OFACS assay as autophagic vacuoles. OFACS can also be used to measure autophagy activity in response to classic stimuli such as starvation in HBSS and treatment with the mTOR inhibitor rapamycin (Fig. S8). As has been shown by others, rapamycin induced accumulation of AVs at a very low concentration but plateaued early at a lower level of AV induction than the PI3K inhibitor GDC-0941, consistent with its incomplete inhibition of mTOR activity [28].
When the OFACS experiments were run in parallel with microscopy image analysis, high degree of positive correlation was observed between the microscopy and the OFACS quantifications (Table S1 & Fig. S6E). Notably, the OFACS method could accurately quantify AVs even when the cells were fully packed with these vacuoles, such as when cells were treated with GDC-0941 or GDC-0068 and CQ for 12–24 hours, while the microscopy counting software was unable to distinguish between individual vacuoles within the overlapping dots or clusters of dots under these conditions.
We also explored the application of OFACS protocol to multispectral imaging flow cytometry (MIFC) using an ImageStream imaging flow cytometer (Fig. S9). Whole cell MIFC analysis revealed the presence of puncta with green (eGFP) and red (mCherry) fluorescence in PC3 cells treated with GDC-0941 +/− CQ, but lacked the detailed information and the ability to accurately count the number of fluorescent spots inside cells (Fig. S9A). Sonication enabled the analysis of individual AVs with multiple parameters and concomitant visualization of the particles in both fluorescent channels and brightfield (Fig. S9B,C). Comparison of the mCherry+eGFP+ AV numbers obtained by MIFC vs conventional flow cytometry revealed highly comparable results by the two methods (Fig. S9D). In addition, MIFC assay indicated that about 99% of the particles in the sonicated cell homogenate are single organelles, with under 0.7% of organelle doublets. (Fig. S9C).
Inhibition of autophagy by 3-methyladenine at an early stage and by Bafilomycin A1 at a later stage can be distinguished by OFACS analysis of individual AVs
3-methyladenine (3-MA) is an inhibitor of class III PI3K that is necessary for early AV formation. It is widely used to inhibit autophagy at an early stage.[29] Bafilomycin A1 (BafA1), on the other hand, is an inhibitor of the vacuolar-type H+-ATPase and inhibits autophagy at a later stage similar to CQ, by inhibiting the acidification of AVs resulting from fusion of autophagosomes with endosomes and/or lysosomes [30]. The accumulation of AO+ organelles or mCherry+eGFP+ LC3B AVs, induced either by GDC-0941/GDC-0068 alone or in combination with CQ ( Fig. 5A–C upper panels), was inhibited in a concentration-dependent manner by 3-MA as detected by the OFACS analysis ( Fig. 5A–C middle panels). BafA1 reduced the accumulation of AO+ events as expected, since it prevents the acidification of the lysosomal compartment likely more strongly than the concentrations of CQ used here, so that AO can no longer label these vesicles, and thus reducing AO staining in treatments with and without CQ ( Fig. 5A,B bottom panels). On the other hand, BafA1 increased accumulation of mCherry+eGFP+ AVs in mCherry-eGFP-LC3B expressing cells treated with GDC-0941 and GDC-0068, as expected from its inhibition of autophagosome-endosome/lysosome fusion and autophagic degradation, similar to the effect of CQ ( Fig. 5C bottom panel). The fact that OFACS is able to distinguish between the early and late autophagy inhibitors with different mechanisms of action further demonstrates the power of the technique.
Non-specific autophagic bulk protein accumulation in AVs can be detected by the OFACS assay
To prove the concept of using OFACS assay to detect autophagic bulk protein accumulation in individual AVs we overexpressed the mCherry protein alone in PC3 cells stably expressing eGFP-LC3B. Two days after transfection cells were treated with GDC-0941 or GDC-0068 +/− CQ or protease inhibitors for 24 hours and analyzed by the OFACS assay. As expected, strong accumulation of eGFP+ AVs was observed when GDC-0941 or GDC-0068 was combined with CQ and to a lesser extent with protease inhibitors, while 3-MA completely abolished AV accumulation (Fig. S6C). Interestingly, about 50% of the GFP+ vesicles were also mCherry+ (Fig. S6D). Thus, mCherry as a non-specific exogenously overexpressed protein could be captured by the eGFP-LC3B+ AVs and detected by the OFACS assay. In fact, the accumulation of mCherry+ organelles could also be detected when transfected into cells without the expression of eGFP-LC3B ( Fig. 4A top control cells).
OFACS detected colocalization of fluorescently tagged LC3B, p62, and AO with fluorescently labeled chloroquine in AVs
To further confirm that the subcellular events detected with AO or fluorescently tagged AV markers by the OFACS assay could indeed be used to quantity autophagy induced with the PI3K/Akt inhibitors and accumulated with CQ treatment, we performed co-localization studies with fluorescently tagged CQ. First, we observed that similar to unlabeled CQ, LynxTag-CQ-blue promoted GDC-0941-induced accumulation of AVs but these AVs are now fluorescent in the blue (DAPI) channel due to the accumulation of LynxTag-CQ-blue in them (Fig. S10A). Second, we confirmed that transiently transfected eGFP-p62 behaved as an AV marker, accumulating in GDC-0941 and CQ co-treated cells, consistent with the role of p62 in delivering ubiquitinated proteins into autophagosomes via binding to LC3 family members (Fig. S10B) [31]. Finally, when PC3 cells expressing mCherry-eGFP-LC3B ( Fig. 6A,B ) or PC3 cells transfected with eGFP-p62 ( Fig. 6C,D ) were treated with GDC-0941 +/− CQ with spiked-in LynxTag-CQ-blue, the fluorescently tagged autophagy marker proteins co-localized with fluorescent CQ, revealed by both microscopy images of intact cells and the OFACS assay. A similar pattern of co-localization was observed with PC3 cells treated with GDC-0941 +/− LynxTag-CQ-blue and stained with AO ( Fig. 6E ; Fig. S11).
We also evaluated another lysosomotropic agent quinacrine (QC) and compared it to CQ both under the microscope and in the OFACS assay (Fig. S10C,D). Of note, we found that quinacrine was very strongly autofluorescent in green (FITC) channel and could be used as an acidic vesicle dye. In addition, quinacrine was about 5∼10-fold more potent than CQ in inducing AV accumulation when combined with GDC-0941 (Fig. S10E).
Using RFP-tagged organelle-specific membrane markers, we evaluated the contributions of membranes from other organelles to the “subcellular” population detected by OFACS, including plasma membrane, nuclear, endoplasmic reticulum, mitochondria, and the Golgi apparatus. To exclude organelles that have been enclosed by an AV, we stained the cells with QC and quantitated RFP+QC- events. The results suggest that under non-autophagy inducing conditions, these labeled organelles or their fragments each contributes 10–40% of the total subcellular events detected, while in cells treated with both GDC-0941 and CQ, each of these contributes less than 5% of the total subcellular events, consistent with the degradation-arrested AVs make up the majority of the subcellular events under this condition (Fig. S12)
Finally, we explored flow cytometric sorting of specifically labeled AVs from the sonicated cell homogenates. After a single sort, AVs induced by GDC-0941 and CQ/CQ-blue co-treatment that are labeled with mCherry-eGFP-LC3B and CQ-blue could be significantly enriched as indicated by the greatly increased percentage of events in the non-specific “organelle” population as well as the specific dual CQblue+mCherry+ or triple CQblue+mCherry+GFP+ populations (Fig. S13).
Discussion
The OFACS analysis of sonicated crude cell homogenates by flow cytometry, described here, represents a conceptually different approach from the previously described methods to analyze autophagy. The assay is simple yet highly quantitative. From serial dilution experiments, we have found that AO+ organelles can be detected with accuracy from 1–5 cells, depending on the number of AVs in the cells. To our knowledge, this is the first report showing flow cytometry-based quantitative and qualitative analysis of individual AVs from a small amount (as little as 10 µL) of unpurified, sonicated cell homogenates, using specific organelle markers and dyes. This method helps to overcome some limitations of microscopy and offers advantages that the flow cytometry technology provides, is amenable to high-throughput, and opens new opportunities for autophagy research.
EM and light microscopy analysis of sonicated cells showed that the released AVs retained label and size comparable to those inside intact cells. The bell shape of the organelle formation curve upon sonication also suggests that they maintain their integrity and number during the first few pulses. Only after further sonication ( Fig. 1B ) or 0.1% Triton X-100 treatment did we observe disintegration of AVs' membrane and release of the dye (data not shown), suggesting that these accumulated AVs are fairly resilient to mild mechanical disruption. Although we could not find existing data on the stability of lysosomes and AVs under sonication, we speculate that the dense content and double- or multi-membrane nature of autophagosomes and amphisomes [32] might make them more stable compared to other single-membrane organelles, such as lysosomes. For example, multilamellar liposomes form more readily with sonication and thus might be more thermodynamically stable [33]. One of the advantages of sonication could be that it likely untangles the AVs from the intracellular microtubule and cytoskeletal networks, allowing their individual analysis by flow cytometry.
In summary, using a novel flow cytometric analysis of organelles released from cells after a brief sonication, we have confirmed and carefully validated a specific and distinct subcellular population. This population was detected upon autophagy induction in different cell types, could be labeled with specific autophagosome markers including eGFP-LC3B, mCherry-eGFP-LC3B and eGFP-p62, as well as non-specifically sequestered, overexpressed mCherry protein, and stained with Acridine Orange and other acidotropic dyes or fluorescent CQ. The results were reproducible with different autophagy inducers (including different PI3K/Akt/mTOR pathway inhibitors and starvation), confirmed with various autophagy inhibitors (Atg knockdowns, 3-MA, BafA1, CQ, lysosomal protease inhibitors, quinacrine), consistent with microscopy analysis, and applicable to both conventional flow cytometry and multispectral imaging flow cytometry. Of course, as with any other methods for autophagy characterization, additional confirmation with parallel methods is always needed to confirm the nature of the autophagic response.
One can envision using the OFACS assay with any other newly discovered fluorescently tagged AV markers. Characterization and knowledge of additional specific markers on the outer surface of AVs and the availability of antibodies against them should allow us to further test the utility of this method for AV detection and characterization in the future. Further studies are warranted to apply this assay to the in vivo setting, either employing fluorescent dyes or specific antibodies against AV markers. For example, AO could be used to stain post-sonication homogenates of tissues and then analyzed by OFACS. Additional work is also needed to optimize this assay to sort distinct fractions of organelles based on different markers. This assay offers the advantage of flow cytometry technology, and could help resolve current controversies in autophagy research, such as distinguishing between inner and outer surface of autophagosomes, searching for additional markers of AVs, or finding the origin of the autophagic membrane.
Materials and Methods
Materials
Protease inhibitor cocktail P1860 (Sigma, 1x equals to 500 fold dilution of the stock solution) and P-8340 (Sigma, 1x equals to 2000 fold dilution of the stock solution), Leupeptin (Sigma), 3-MA (Sigma), Bafilomycin A1 (Sigma), Acridine Orange (AO) (Sigma), LysoTracker probes (Invitrogen), chloroquine diphosphate (CQ) (Fluka), CountBright™ fluorescent beads (Invitrogen, C36950), PI3K inhibitor GDC-0941 and Akt inhibitor GDC-0068 (Genentech), human LC3B conjugated to eGFP [21] and mCherry-eGFP expression construct (Genentech), eGFP tagged human p62 construct (Genentech), Quinacrine (Sigma), LynxTag-CQ green and blue (BioLynx Technologies, Singapore), Hoechst 33342 (Invitrogen), Lipofectamine RNAiMAX and Lipofectamine 2000 (Invitrogen), Atg5 antibody (Abgent, catalog# AP1812b), Atg7 antibody (Santa Cruz Biotech, catalog# sc-33211), GAPDH antibody (Advanced ImmunoChemical, catalog# RGM2).
Cell staining with fluorescent dyes
Cells were incubated for 30–60 minutes with AO (0.1 µg/ml), LysoTracker Red or Green (0.1 µg/ml), Hoechst 33342 (1 µg/ml), quinacrine (1 µM) in growth media in a 37°C 5% CO2 tissue culture incubator or in PBS buffer containing 0.1% BSA on ice.
Transmission Electron Microscopy
All samples (cells and homogenates) were fixed in modified Karnovsky's fixative (2% paraformaldehyde and 2.5% glutaraldehyde in 0.1 M sodium cacodylate buffer, pH7.2). The pellets of the homogenate samples were stabilized by mixing with 10% gelatin. All samples were post-fixed in 1% aqueous osmium tetroxide for 2 hours and then dehydrated through a series of ethanol (50%, 70%, 90%, 95%, 100%) followed by propylene oxide (each step was for 15 min) and embedded in Eponate 12 (Ted Pella, Redding, CA). Ultrathin sections (70 nm) were cut with an Ultracut microtome (Leica), stained with 3.5% aqueous uranyl acetate and 0.2% lead citrate and examined in a JEOL JEM-1400 transmission electron microscope (TEM) at 120 kV. Digital images were captured with a GATAN Ultrascan 1000 CCD camera.
OFACS protocol for direct detection of individual AVs
Flow cytometry data were acquired with BD LSR-II or BD LSRFortessa (BD Biosciences) using the HTS auto-sampler device, and sorting was performed on a BD FACS Aria2 using excitation lines at 488 nm and 561 nm and detecting fluorescence at 530/30 nm, 582/15 nm and 630/20 nm. Data were analyzed using the FlowJo software (Tree Star). This assay can be done in 96 or 384-well high-throughput format using 10 µl volume per sample, or it can be done in a standard format with higher volume. Cells were grown in RPMI-1640 containing 10% FBS, treated with drugs and labeled with fluorescent dyes for indicated times in a cell culture incubator. Cells were then sonicated with a single or 8-channel 2-mm probe for 3 x 1s pulses in the media in-well on ice, using an ultrasonicator (Sonics model VibraCell VCX130PB 130W 20 kHz from Sonics & Materials, Inc.) at 75% amplitude. Disruption of the cells could also be done with a 28 G 1/2 insulin syringe to generate equivalent results; however, sonication is easier, more reliable and reproducible than using a syringe. Cell homogenates are now ready to run on a flow cytometer at room temperature or 4°C if available. Optional: cells can be resuspended in FACS buffer (PBS containing 0.1–1%BSA and protease inhibitors (Sigma P-8340, 1∶2000 dilution)) on ice and labeled with fluorescent dyes after dislodging with trypsin/EDTA. For flow cytometry analysis, the events were first gated based on size (FSC) and granularity (SSC) and designated as “subcellular” population. The residual events detected in the subcellular population, defined by the FSC and SSC upon running the filtered buffer on a flow cytometry, possibly air-bubbles or impurities, represented <5% of total events and were not fluorescent. Then, specific AV population gate was created based on a specific fluorescent channel vs. the counter-stain or a non-specific channel, or on histogram. Number of AVs in this gate was counted and normalized to the number of cells. Cell numbers before sonication can be calculated by spiking in a known number of beads (CountBright counting beads, Invitrogen C36950, size 7 µm) and counting an aliquot of the mixture of cells and beads to deduce the cell numbers in each well proportionally, or by scanning on an IsoCyte (Molecular Devices) using cell areas as an approximation for cell numbers. In-sample cell number normalization can be done by splitting cell suspensions into two equal parts, then sonicating one part and combining it with the unsonicated half. Using this assay, many readout outputs may be calculated such as the number of organelles per cell, percentage of a specific population relative to a total number of events, or the total specific signal per cell based on the number of organelles per cell multiplied by the mean value of this parameter. This assay can work on either frozen or live cells, in growth media or in buffer. Cell lines successfully tried with this protocol include: PC3, LNCaP, HEK293, U87, MEF, 537MEL, BT474, SKBR3, ZR-75, MCF7, SKMEL23, MALME3, MALME3M and HME (American Type Culture Collection).
Fluorescence Microscopy analysis
Cells stained with AO (0.1 µg/ml) for 30 min in a cell culture incubator were sonicated with 3 x 1-second pulses on ice in PBS containing 0.1% BSA and protease inhibitors (Sigma P-8340, 1∶2000 dilution) after dislodging with trypsin/EDTA. The cell homogenates were centrifuged in a 96 well plate in a Beckman Coulter “Allegra” X-12R centrifuge at 3000 rpm (2000 g) for 5 min and analyzed under a 100× objective on a DeltaVision microscope with an excitation setting for FITC and emission setting for Cy5. When bound to DNA, AO is fluorescent in the green FITC/FITC (ex 488 nm/em 530 nm) channel; when in acidic compartments, AO is fluorescent in the red FITC/Cy5 (ex 488 nm/em 650 nm) channel. In some studies, cells and organelles were analyzed under a 40× objective of a Nikon Eclipse TE300 microscope. mCherry was detected in an ex 561/em 600 channel. eGFP, LysoTrackerGreen, quinacrine, LynxTag-CQgreen were detected in the green FITC/FITC (ex 488 nm/em 530 nm) channel. LynxTag-CQblue and Hoechst 33342 were detected in the blue DAPI/DAPI (ex 405 nm/em 450 nm) channel.
siRNA knockdown
Cells were transfected with 50 nM siRNA using Lipofectamine RNAiMAX. The On-Target-plus siControl Non-targeting pool (Dharmacon D-001810-10) was used as a non-targeting control. Atg5 siRNA pool (Dharmacon UNQ15221 siRNA IDs J-004374-07, J-004374-08, J-004374-09, J-004374-10) or Atg7 siRNA (Santa Cruz Biotech sc-41447) were used to specifically knockdown the Atg genes.
Transient transfection of cells with plasmid DNA
Cells were transfected with plasmid DNA using Lipofectamine 2000 in 10 cm or 96-well tissue culture plates using 15 µg DNA and 15 µl Lipofectamine 2000 per plate in 10 ml growth media for 24–48 hours.
Statistical analysis
Paired t-tests were performed using the Microsoft Excel software. Significant differences were determined as P<0.05.
Supporting Information
Acknowledgments
We thank Linda Rangell, Laurie Gilmour, James Cupp, Laszlo Komuves and other members of the FACS and the microscopy core labs of Genentech for their valuable support and Dr. Dong Yun Lee of Genentech for providing the eGFP tagged human p62 DNA construct. We would also like to thank Richard DeMarco and Ben Alderete from Amnis for their help with the ImageStream analysis.
Funding Statement
This study was funded by Genentech, Inc., a member of the Roche group. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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