Heeseon An1, J Wade Harper2. 1. Department of Cell Biology, Harvard Medical School, Boston, MA, USA. 2. Department of Cell Biology, Harvard Medical School, Boston, MA, USA. wade_harper@hms.harvard.edu.
Abstract
Ribosomes are abundant cellular machines 1,2 that are regulated by assembly, supernumerary subunit turnover and nascent chain quality control mechanisms 1-5 . Moreover, nitrogen starvation in yeast has been reported to promote selective ribosome delivery to the vacuole in an autophagy conjugation system dependent manner, a process called 'ribophagy' 6,7 . However, whether ribophagy in mammals is selective or regulated is unclear. Using Ribo-Keima flux reporters, we find that starvation or mTOR inhibition promotes VPS34-dependent ribophagic flux, which, unlike yeast, is largely independent of ATG8 conjugation and occurs concomitantly with other cytosolic protein autophagic flux reporters 8,9 . Ribophagic flux was not induced upon inhibition of translational elongation or nascent chain uncoupling, but was induced in a comparatively selective manner under proteotoxic stress induced by arsenite 10 or chromosome mis-segregation 11 , dependent upon VPS34 and ATG8 conjugation. Unexpectedly, agents typically used to induce selective autophagy also promoted increased ribosome and cytosolic protein reporter flux, suggesting significant bulk or 'bystander' autophagy during what is often considered selective autophagy 12,13 . These results emphasize the importance of monitoring non-specific cargo flux when assessing selective autophagy pathways.
Ribosomes are abundant cellular machines 1,2 that are regulated by assembly, supernumerary subunit turnover and nascent chain quality control mechanisms 1-5 . Moreover, nitrogen starvation in yeast has been reported to promote selective ribosome delivery to the vacuole in an autophagy conjugation system dependent manner, a process called 'ribophagy' 6,7 . However, whether ribophagy in mammals is selective or regulated is unclear. Using Ribo-Keima flux reporters, we find that starvation or mTOR inhibition promotes VPS34-dependent ribophagic flux, which, unlike yeast, is largely independent of ATG8 conjugation and occurs concomitantly with other cytosolic protein autophagic flux reporters 8,9 . Ribophagic flux was not induced upon inhibition of translational elongation or nascent chain uncoupling, but was induced in a comparatively selective manner under proteotoxic stress induced by arsenite 10 or chromosome mis-segregation 11 , dependent upon VPS34 and ATG8 conjugation. Unexpectedly, agents typically used to induce selective autophagy also promoted increased ribosome and cytosolic protein reporter flux, suggesting significant bulk or 'bystander' autophagy during what is often considered selective autophagy 12,13 . These results emphasize the importance of monitoring non-specific cargo flux when assessing selective autophagy pathways.
Substantial cellular resources are used to produce the
106–107 ribosomes present in a typical mammalian cell
(~10% of protein mass), raising the question of to what extent ribosome
recycling into building blocks is regulated. Previous studies in S.
cerevisiae revealed ~3—fold faster delivery of ribosomes to
the vacuole when compared with other cytosolic proteins under conditions of nitrogen
starvation. Ribophagic flux in yeast required conjugation of the Atg8pUb-like protein
to phosphatidylethanolamine via Atg7p, and the Atg1p-Atg17p kinase which promotes
phagophore formation[6,8]. In mammals, starvation-induced autophagy
requires the VPS34-BECN1 PI3 kinase and the ULK1 protein kinase for phagophore
initiation. In contrast, ATG8 conjugation pathway (employing ATG7 E1 enzyme and
ATG5-ATG12 E3 complex) isn’t essential for starvation-induced flux but its
deletion reduces the success rate autophagosomal closure by ~70% and
productive lysosome fusion by ~30 min[9]. Conservatively, ~103 ribosomes may be
randomly engulfed into a 0.5 μm3 autophagosome[14] during starvation induced autophagy in a 3000
μm3 mammalian cell. However, the extent to which mammalian
ribosomes are degraded through autophagy in healthy or stressed cells is unknown, as is
whether selective forms of ribophagy are used to degrade, for example, translationally
defective ribosomes[3,4,5].
Conversely, are particular cytosolic constituents excluded from autophagosomal
engulfment during selective autophagy? If not, to what extent are cytosolic contents
degraded through “by-stander” autophagy[12,13]during
specific turnover of damaged organelles? Stated differently – how selective is
selective autophagy?To address these questions, we established a “Ribo-Keima” system
(Fig. 1a) wherein chromosomal
RPS3 (a 40S protein) or RPL28 (a 60S protein) in
HCT116 and HEK293 cells were C-terminally tagged with Keima via gene-editing in
heterozygous or homozygous form (Fig. 1b–d;
Supplemental Fig. 1a).
Keima is a pH-responsive reporter that undergoes a chromophore resting charge state
change upon trafficking to the lysosome (pH~4.5), allowing flux measurements by
flow cytometry or microscopy (Fig. 1a)[15]. Keima itself is also stable to
lysosomal proteases in mammals, and appearance of a “processed” Keima
protein therefore reveals lysosomal trafficking[15,16,17]. Ribo-Keima proteins formed ribosomes and
polysomes (Fig. 1e,f; Supplemental Fig. 1b) and efficiently
incorporated puromycin into nascent chains, indicating little effect on global
translation (Supplemental Fig.
1c). Excess ribosomal subunits are degraded via the proteasome[4,5].
Ribo-Keima treated cells with the proteasome inhibitor Bortezomib (BTZ, 4h) failed to
accumulate free monomeric RPS3-Keima or RPL28-Keima protein (Fig. 1e,f; Supplemental Fig. 1b), indicating stoichiometric assembly into ribosomes. As
with DsRed[18], heat induced hydrolysis
of the N-acyl imine in Keima during denaturation produced a ~9 kDa N-terminal
Keima fragment (fused with either RPS3 or RPL28) and a 21 kDa C-terminal Keima-Flag
fragment (Supplemental Fig.
1d–f), accounting for bands indicated by an asterisk in immunoblots
for RPS3 or RPL28 (Fig. 1d; Supplemental Fig. 1b,d).
Figure 1
Construction of a system for monitoring ribophagy flux in human cells
(a) Schematic of ribophagy detection in mammalian cells using a
Ribo-Keima reporter system. (b) View of the C terminus of RPL28 and
RPS3 in a structure of 80S complex showing the solvent exposed site for Keima
protein tagging. (PDB: 5AJ0) (c) Generation of homozygous
RPL28-Keima and heterozygous RPS3-Keima reporter cell lines via CRISPR-Cas9
based gene editing. (d) Confirmation of the RPL28-Keima and
RPS3-Keima expression in HEK293 and HCT116 cells by immunoblotting. Asterisk
indicates Ribo-Keima protein fragments formed after the hydrolysis of the N-acyl
imine in Keima chromophore during heat denaturation (see Supplemental Fig. 1d–f).
Data shown represent more than three independent experiments with similar
results. (e-f) Sucrose density gradient centrifugation shows proper
assembly of RPL28-Keima and RPS3-Keima with 60S, 40S, 80S, and polysomes with or
without 4h BTZ treatment (0.1 μM) to stabilize any unassembled subunits.
Two independent experiments showed similar results. Unprocessed original scans
of blots are shown in Supplemental Fig. 6.
To examine ribophagic flux, we initially treated cells with the mTOR inhibitor
Torin1 (Tor1). Inhibition of mTOR, a negative regulator of ULK1[19,20],
results in increased bulk autophagic flux in a manner that partially mimics starvation.
We found that all 4 Ribo-Keima cell lines displayed an increase in the 561/488
excitation ratio by flow cytometry that was reversed by addition of the lysosomal
acidification inhibitor Bafilomycin (BafA) (Fig.
2a,b). Similarly, we observed formation of a “processed” form
of Keima (25 kDa) reflecting degradation of the RPS3 and RPL28 fragments of each fusion
protein by lysosomal hydrolases (Fig. 2c), and this
was also blocked by the VPS34 inhibitor SAR405 (Fig.
2c). In parallel, we found that Tor1 promoted the formation of
VPS34-dependent cytoplasmic Keima-positive (red) puncta[15] (Fig. 2d,e)
that co-localize with lysosomal markers (LAMP1-eGFP and Lysotracker Green, Lyso-G)
(Fig. 2f,g). A subset (~20%) of
Keima puncta were co-incident with eGFP-LC3B-positive puncta observed upon Tor1 addition
(24h) (Fig. 2h), indicative of trafficking through
the autophagosome. Control experiments wherein Keima signal was monitored by confocal
microscopy at various times after washout of Tor1 (24h treatment) revealed that Keima
puncta are maintained for at least 8h and the number of puncta isn’t altered by
treatment with lysosomal hydrolase inhibitors, indicating that Keima is very stable
within the lysosome, as previously reported[15] (Supplemental
Fig. 1h,i). An estimate of ~10% of ribosomes trafficking to
lysosomes over the 24h period in Tor1-treated cells was obtained by comparing Keima
fluorescence of cells at pH 7.5 and pH 4.5 with that of Tor1 treated cells in the
presence of BafA (see METHODS). By contrast, <1% of ribosomes trafficked
into lysosomes in complete growth media based on flow cytometry (see METHODS), and this
level of ribophagy is generally undetectable by immunoblotting for processed Keima in
Ribo-Keima reporter cells (Fig. 2c), indicating low
basal ribophagic flux.
Figure 2
mTOR inhibition promotes ribophagy flux in a VPS34-dependent manner
(a) Ribo-Keima reporter cells were treated with BafA (50 nM, 1h),
Torin1 (150 nM, 24h), or combination of the two, then analyzed by
flow-cytometry. Frequency distributions of 561/488 nm excitation ratios are
shown (n = 10,000 cells per condition).
(b) The mean value of the biological triplicate experiments for
561/488 nm excitation ratios (from panel b) is shown in the histogram. Error
bars represent S.E.M. (****p
<0.0001, **p <0.01,
*p <0.04, Two-way ANOVA). (c)
Ribo-Keima reporter cell lines treated with Torin1 (150 nM, 24h), SAR405 (an
inhibitor of VPS34, 1 μM, 24h), or combination of the two were
immunoblotted for Keima and LC3B. (For asterisk, see Supplemental Fig. 1d)
(d) Confocal images of live HEK293 cells expressing RPS3-Keima
after Torin1 (150 nM, 24h) or Torin1 (150 nM, 24h)/SAR405 (1 μM, 24h)
co-treatment. (Scale bar = 20 μm) (e) Unbiased
quantitation of the live-cell images in panel d for number of red Keima puncta
per cell are shown. Mean ± S.E.M. (n=52, 60, 60 cells from three
independent experiments) (f) HEK293 RPS3-Keima cells stably
expressing LAMP1-eGFP were incubated in the presence or absence of Torin1 for
24h prior to live-cell imaging. (Scale bar = 20 μm)
(g) HEK293 RPS3-Keima cells treated as in (f) were stained with
LysoTracker Green prior to live-cell fluorescence microscopy. (Scale bar
= 20 μm) (h) HEK293 RPS3-Keima cells stably
expressing eGFP-LC3 were treated as in (f), then subjected to live-cell
fluorescence microscopy. (Scale bar = 20 μm) For panels f-h,
co-occurrence (%) of red Keima puncta with LAMP1-eGFP
(n > 1800 puncta), LysoTracker Green
(n > 2000 puncta), and eGFP-LC3 n
> 110 puncta) were calculated and plotted as black bars. Random
co-occurrence (%) is shown as white bars (see METHODS). Mean ±
S.E.M. (****p < 0.0001,
***p < 0.001,
**p < 0.01, Two-way ANOVA)
Statistical source data for b, f, g, h can be found in Supplementary Table 2.
All experiments were performed three times with similar results. Unprocessed
original scans of blots are shown in Supplemental Fig. 6.
Ribophagy in yeast upon nitrogen deprivation requires Atg8p conjugation, the
Ubp3p deubiquitylating enzyme, and Cdc48p ATPase[6,7]. Surprisingly, ATG5
deletion in HEK293 Ribo-Keima cells had no effect on ribophagic flux in response to Tor1
or starvation (Fig. 3a–g
Supplemental Fig. 2a,c,e),
while as expected based on VPS34 inhibition, deletion of the VPS34 regulatory subunit
BECN1[20] greatly reduced
ribophagic flux by flow cytometry, confocal imaging, or immunoblotting for processed
Keima (Fig. 3a–d, Supplemental Fig. 2a–d). Moreover,
ribophagic flux in HEK293 RPS3-Keima;ATG5−/− cells induced by
Tor1 (24h) was reversed by treatment with SAR405 (Fig.
3c,d, Supplemental Fig.
2c), indicating that ATG5-independent flux nevertheless requires
VPS34[20,21]. HEK293RPS3-Keima;ATG5−/− cells also generated lysosomally
processed Keima with rates similar to that seen in ATG5-expressing cells (Supplemental Fig. 2c). Ribophagic
flux in HEK293 RPS3-Keima cells was initially detectable 8h post-starvation and
increased slightly at 16h (Fig. 3e–g).
However, no discernable kinetic differences in Keima puncta per cell were found to
depend upon ATG5 status (Fig. 3e–g). In
HCT116RPL28-Keima cells, starvation promoted a time-dependent increase in Keima puncta
per cell, which was 24-44% lower in parallel ATG5−/−
cells (Fig. 3h, Supplemental Fig. 2f–i). The
reduced autophagic flux was rescued upon stable expression of ATG5 in
ATG5−/− cells, as examined by immunoblotting for
lysosomally processed Keima (Supplemental Fig. 2i). Additional evidence that ribophagy in HEK293 cells
upon mTOR inhibition is conjugation system independent includes: 1) presence of
ribosomes in autophagosomal structures of ATG5−/− cells by
electron microscopy (Fig. 3i), 2) co-localization
of Keima signal (561 nm excitation) with LAMP1-eGFP-labeled lysosomes (Supplemental Fig. 2j), 3) no effect on
Keima puncta number or intensity in ATG5−/− cells treated
with lysosomal hydrolase inhibitors for 14h during mTOR inhibition, indicating that the
Keima turnover rate in the lysosome is similar in ATG5+/+ and
ATG5−/− cells (Supplemental Fig. 2k), and 4) absence of
eGFP-LC3 puncta associated with 561 nm excitation puncta (Supplemental Fig. 2l). Thus, neither Tor1
nor starvation induced ribophagy absolutely requires ATG8 conjugation but both require
the VPS34 pathway. Similar results were obtained using HEK293 cells expressing levels of
free Keima protein comparable to that in cells expressing RPS3-Keima (Supplemental Fig. 3a), consistent with the
absence of selectivity in ribophagy flux observed upon Tor1 treatment or starvation.
Interestingly, Keima-LC3 protein expressed in ATG5−/− cells
showed lysosomal flux comparable to ribosomes, further suggesting ATG8 conjugation
independent bulk autophagy.
Figure 3
Ribophagy in response to mTOR inhibition in HEK293 cells is ATG5-independent
but BECN1-dependent
(a) Frequency distributions of 561/488 nm excitation ratios measured
on HEK293 RPS3-Keima cells lacking ATG5 or BECN1 were compared after Torin1 or
Torin1/BafA treatment using flow cytometry. (n = 10,000
cells per condition) (b) Average 561/488 nm excitation ratios
calculated from the biological triplicate experiments from panel a. Mean
± S.E.M. (****p
< 0.0001, **p < 0.01, Two-way
ANOVA) (c) Confocal images of live HEK293 RPS3-Keima cells lacking
ATG5 after Torin1 (150 nM, 24h) or Torin1 (150 nM, 24h)/SAR405 (1 μM,
24h) co-treatment. (Scale bar = 20 μm) (d) Number
of red Keima puncta/cell was measured from the live-cell images of HEK293
RPS3-Keima WT, ATG5−/−, or
BECN1−/− cells taken after Torin1 (150 nM, 24h)
or Torin1 (150 nM, 24h)/SAR405 (1 μM, 24h) co-treatment. Mean ±
S.E.M. (Total number of cells from three biologically independent samples are
indicated in the graph) (e,f) HEK293 RPS3-Keima cells (with or
without ATG5) were incubated with HBSS in the presence of lysosomal hydrolase
inhibitors (L.H.I., E64d and Pepstatin, 30 μM each) for the indicated
times prior to live cell imaging. (Scale bar = 20 μm)
(g) Unbiased quantification of the live-cell images obtained as
shown in panels e and f. (h) Unbiased quantification of red Keima
puncta obtained from live HCT116 RPL28-Keima cells (with and without ATG5) as
shown in Supplemental Fig.
2g,h. In panels g and h, total number of cells from three
biologically independent samples are indicated in the graph, and Mean ±
S.E.M. is shown. (i) Electron microscopy images of HEK293
RPS3-Keima WT, ATG5−/− and
BECN1−/− cells 4.5 h after HBSS treatment in the
presence of BafA (50 nM). Red arrow: ribosomes in autophagosomes or
autophagolysosomes, yellow arrow: ribosomes bound to ER in cytosol (Scale bar
= 500 μm). The data shown represents two independent
experiments. Statistical source data for b can be found in Supplementary Table 2.
All experiments were repeated at least three times unless otherwise
indicated.
We examined the involvement of USP10 (Ubp3p in yeast) and p97/VCP (Cdc48p in
yeast) in mammalian ribophagy[7]. The p97
inhibitor CB5083[22] had no effect on
Ribo-Keima processing during mTOR inhibition (Supplemental Fig. 3b), indicating that p97
isn’t required for this form of ribophagy. The USP10 inhibitor Spautin[23] reduced ribophagy of both 40S and 60S
subunits (Supplemental Fig.
3c,d); however, this likely reflects the role of USP10 in maintaining
BECN1-VPS34 activity in mammals[23]
rather than being directly involved in ribophagy. Consistent with recent work[9], we did not observe a proposed
role[8] for Golgi as source of
membranes for ATG8 conjugation-independent autophagy, asBrefeldin A had no effect on
Tor1-induced ribophagy in Ribo-Keima ATG5−/− cells (Supplemental Fig. 3e). Moreover,
we did not observe a correlation of Keima-positive lysosome localization with the Golgi
network but did observe association with the ER, a source of autophagic
membranes[21] (Supplemental Fig. 3f,g).Maintaining healthy ribosomes is thought to be critical for the cellular
homeostasis, and agents that induce ribosomal stress could promote a need for
re-establishment of ribosome pools[24].
We therefore screened translation inhibitors and stress agents for increased ribophagic
flux. Addition of nascent chain terminator puromycin, elongation inhibitor cyclohexamide
(CHX), and the p97 inhibitor (CB5083)[22] which blocks extraction of ubiquitylated nascent chains from the
ribosome had no appreciable effect on ribophagic flux (Fig. 4a,b). Similarly, proteasome inhibitor BTZ or ER-stress agent
tunicamycin (TM) did not promote ribophagic flux (Fig.
4a,b). In contrast, ribophagic flux similar to or greater than that seen with
mTOR inhibition was induced by Reversine, an MPS1 inhibitor that creates proteome
imbalance through chromosome missegregation[11,25,26], and by sodium arsenite (AS), which induces
stress granules[10] and translational
inhibition (Supplemental Fig.
4a). Oxidative stress by H2O2 tended toward an increase
in ribophagic flux (p >0.1) (Fig.
4a,b).
Figure 4
A screen of ribosome stress agents identifies sodium arsenite and reversine
as ribophagy inducers
(a) HEK293 RPS3-Keima cells were exposed to (Tor1, 150nM, 24h;
Reversine, 0.5μM, 48h; Sodium Arsenite (AS), 10μM, 24h;
H2O2, 250μM, 24h; Cycloheximide, 10μM,
5h; Diazaborine, 200μM, 24h; Bortezomib, 250nM, 5h; Puromycin,
1μM, 5h; p97 inhibitor CB5083, 100nM, 24h; Tunicamycin, 0.6μM,
24h), and 561/488 ratio measured. (n=10,000
cells/condition) (b) HEK293 RPS3-Keima:WT,
ATG5−/−, and BECN1−/−
cells treated as in a.. Mean 561/488 ratios are plotted.
(n=3 independent experiments, Supplemetary Table 2). (c) Frequency
distributions of 561/488 ratios measured in HEK293
RPS3-Keima:ATG5+/+,
ATG5−/− cells treated with AS. (n=4200
cells/condition) (d) The average 561/488 ratios from triplicate
experiments as in panel c. (e) HEK293
RPS3-Keima:ATG5−/− cells transduced with a
lentivirus expressing either ATG5 or conjugation defective ATG5K130R
mutant were treated with AS (10μM, 24h). The average 561/488 ratios of
biological triplicate experiments are shown. Mean of two independent experiments
is shown for ATG5K130R cells. (f) Immunoblotting of
indicated cells treated with AS (20μM, 20h). (g) The
average 561/488 ratios of the indicated cell lines treated with Reversine
(0.5μM, 48h) ± BafA (50nM, 1h). (n=3 independent
experiments) (h) Frequency distributions of 561/488 ratios for
HCT116 RPL28-Keima cells with or without Reversine treatment.
(n=10,000 cells/condition) (i)
Immunoblot of HCT116 RPL28-Keima cells treated with Reversine ± SAR405.
(j) Imaging of HCT116
RPL28-Keima:ATG5+/+,
ATG5−/− cells ± Reversine (0.5μM,
48h). (Scale bar=20μm) (k) Quantification of the
images in panel j. Mean ± S.E.M. (Total number of cells are indicated as
n) (l) The average 561/488 ratios of cells
treated with Reversine (0.5μM, 48h). (n=3 independent
experiments) (m) Immunoblots of indicated cell lines treated as in
panel l. Mean ± S.E.M. is shown in panel b,d,e,g,l.
(****p<0.0001,
***p<0.001,
**p<0.01, panel b:One-way ANOVA,
panel d,e,g,l:Two-way ANOVA) All experiments were repeated three times unless
otherwise indicated. Statistical source data are in Supplementary Table 2.
Unprocessed original scans are shown in Supplementary Fig. 6.
Stress granules are thought to undergo ATG8 and p97-dependent selective
autophagy[27,28]. Consistent with previous reports[27], AS induces stress granules marked
with eIF4E-eGFP and 40S ribosomal protein RPS3-Keima but not with RPL28-Keima (Supplemental Fig. 4b,c). However,
stress granule formation was AS concentration dependent (Supplemental Fig. 4d). At 20 μM AS,
processed Keima in HEK293 RPS3-Keima cells was detected by ~3 h post AS
treatment and was blocked by SAR405 up to 18 h post treatment without obvious stress
granule or ribosome aggregate formation (Supplemental Fig. 4e,f). We found that
AS-induced ribophagy as measured in HEK293 RPS3-Keima cells was largely dependent upon
ATG5 and its ATG12 conjugate, and was reversed by BafA (Fig. 4c–f; Supplemental Fig. 4g). Consistent with flow cytometry (Fig. 4a,b), AS produced more processed Keima than Tor1
treatment, and also led to inhibition of pT389 S6K (Supplemental Fig. 4h), in agreement with
reduced mTOR activity[29]. Unexpectedly,
however, ribophagic flux was also increased by AS in HEK293RPL28-Keima cells and was
reduced by BafA (Fig. 4e), indicating that the 60S
subunit also undergoes autophagy. Ribophagic flux for both HEK293 RPS3-Keima and
RPL28-Keima was reduced upon addition of CB5083 (Supplemental Fig. 4i). Thus, although both
Tor1 and AS inhibit S6K phosphorylation and induce ribophagic flux, AS-induced ribophagy
largely requires ATG5 and p97 while Tor1 does not.Reversine-induced chromosome mis-segregation produces supernumerary protein
subunits, protein complex imbalance, proteotoxic stress, and activation of autophagy to
presumably facilitate removal of misfolded or supernumerary proteins[11]. To examine Reversine-induced ribophagic flux,
we employed HCT116 Ribo-Keima cells, which have a stable and near diploid karyotype. We
observed increased ribophagy flux with both RPS3- and RPL28-Keima upon Reversine
treatment, but 60S subunit RPL28-Keima reporter showed ~2 fold higher Keima
ratio change responsive to BafA (Fig. 4g). In
RPL28-Keima cells, processed Keima was detected as early as 24h post Reversine treatment
(Fig. 4h,i). Reversine-dependent ribophagic
flux was reversed by BafA and SAR405 (Fig.
4g–i), and was strikingly ATG5 dependent (Fig. 4j–m).The distinct ATG5 dependence observed between Tor1-induced versus AS or
Reversine-induced ribophagic flux led us to examine the relative selectivity of
ribophagy in comparison to additional Keima flux reporters, including autophagosomes
themselves (Keima-LC3), cytosol (LDHB-Keima), cytoskeleton (ACTB-Keima), proteasome
(PSMD12-Keima), or mitochondria (TOMM20-Keima). Stable Keima reporter cells were sorted
to achieve comparable levels of expression but lower than that for the Ribo-Keima
reporters (Fig. 5a–d; Supplemental Fig. 5a). To assess relative
cargo flux, HEK293 reporter cell lines were treated with either Tor1, AS, or SAR405 to
block basal autophagy, and extracts examined by immunoblotting for processed Keima
(Fig. 5b) with signals then normalized to Tor1
treated cells (see METHODS) (Fig. 5e). AS induces
lysosomal delivery of Keima-LC3 to a level comparable to that induced by Tor1,
indicating elevated overall autophagy flux. Likewise, non-ribosomal Keima reporter
proteins displayed a similar level of increase in autophagic flux after AS and Tor1
treatment (Fig. 5b,e). Moreover, in contrast with
other reporter proteins, ribophagic flux measured with both RPS3-Keima and RPL28-Keima
was 3-4—fold higher than with Tor1, indicating a level of selectivity for this
cargo. The increased selectivity for ribophagic flux with AS reflects a much lower rate
of basal flux when compared to the other cargo, and a larger induced flux relative to
Tor1 treatment (Fig. 5b, Supplemental Fig. 5b–c). Analogous
experiments were performed with HCT116 cells in the context of Reversine treatment,
again revealing selectivity in Reversine-dependent turnover of RPL28-Keima when compared
with Tor1 treatment, while with the other reporters, the increased flux was again
comparable to that seen with Tor1 treatment (Fig.
5c,d,f). Unlike AS, however, Reversine did not inhibit S6K phosphorylation
(Fig. 5b,d) and did not promote selective
turnover of RPS3-Keima (Fig. 5f), suggesting
distinct flux parameters for large and small ribosome subunits in this setting.
Figure 5
Quantitative Western blot analyses of various Keima reporter cell lines
reveal selective capture of ribosomes during AS and Reversine treatment and the
relative quantity of “by-stander” autophagy during selective
autophagy
(a) Confocal images of live HEK293 cells expressing 7 different
Keima reporter proteins show proper intracellular localization. (b)
Extracts from the indicated cell lines treated with SAR405 (1μM, 20h),
AS (20μM, 20h), or Tor1 (150nM, 20h) were subjected to immunoblotting.
The representative Western blot images were developed using HRP conjugated
secondary antibodies, whereas the quantitative Western blot analysis of
biological triplicate experiments was performed using NIR fluorescent secondary
antibodies. Blot images were processed using Odyssey CLx imager for
quantitation. (c) Proper localization of Keima reporter proteins
expressed in HCT116 cells is confirmed by live cell imaging. (a,c:scale
bar=5μm) (d) Extracts from the indicated HCT116
Keima reporter cell lines treated with SAR405 (1μM, 20h), Tor1 (150nM,
20h), or Reversine (0.5μM, 48h) were subjected to immunoblotting.
(e,f) Quantitation of immunoblots obtained as in b
and d is plotted. Processed Keima band intensity of each lane was normalized by
the intact Keima band intensity in the same lane. Then, the relative abundance
of processed Keima in AS or Reversine treated cells was normalized with Torin1
treated cells (internal standard for each cell line). Mean ± S.E.M.
Total number of biologically independent experiments are indicated in the graph.
(g,h,i) “By-stander”
autophagy during mitophagy, pexophagy, and lysophagy was analyzed using HEK293
Keima reporter cell lines. Corresponding cells were treated either with
Antimycin A (10 μM, 15h) and Oligomycin A (5 μM, 15h) or with
Clofibrate (500 μM) for indicated time to induce mitophagy and
pexophagy, repectively. Keima reporter cell lines used for mitophagy analysis
stably express exogenous PARKIN. To induce lysophagy, cells were treated with
L-Leucyl-L-Leucine methyl ester (LLOMe, 1 mM) for 1 hour, then further incubated
with fresh media for 24 hours. Red arrow indicates lysozyme resistant Keima
(25kDa) fragment. All experiments were repeated more than three times unless
otherwise indicated. Statistical source data can be found in Supplementary Table 2.
Unprocessed original scans of blots are shown in Supplementary Fig. 6.
Increased flux for various cytosolic cargo (e.g. LDHB) in response to AS
treatment, which ostensibly promotes selective targeting of stress granules for
autophagy[10], led us to ask the
extent to which conditions that are thought to promote selective forms of autophagy
induce “by-stander” autophagy[12,13]. The extent to which
cytosolic proteins are captured during what would otherwise be considered selective
cargo capture has not been examined systematically. Relative to basal conditions,
PARKIN-dependent mitophagy via mitochondrial depolarization with Antimycin A and
Oligomycin A (AO) induced autophagic flux for all reporters tested to an extent similar
to that seen with Tor1, with LDHB-Keima, for example, increasing 2-4—fold above
basal conditions (Fig. 5g). Similar results were
obtained for cells treated with pexophagy-inducing Clofibrate (Fig. 5h), and lysophagy-inducing LLOMe (Fig. 5l). Thus, agents used for induction of selective
autophagy of cytosolic membrane-bound organelles also promoted capture of additional
cytosolic proteins with diverse sub-cellular localization and assembly patterns.Here, we set out to systematically assess ribophagic flux in mammalian cells.
Under basal conditions, ribophagic flux is extremely low (<1% over
~24h period) in HEK293 cells. As with yeast, nutrient deprivation (as well asmTOR inhibition) increases ribophagic flux (to ~10% of ribosomes over a
24h period in human cells), but in contrast with yeast, neither ATG8 conjugation nor the
p97 ATPase is required. Moreover, ribophagic flux was comparable to free Keima flux,
indicating that ribophagy under these conditions is not selective as classically
defined[30]. Surprisingly,
agents that induce defects in ribosomal quality control did not promote robust
ribophagy, suggesting that autophagy isn’t generally used for turnover of
translationally impaired ribosomes. However, we found that proteotoxic stress agents
such asAS and Reversine promote ATG5-dependent ribophagic flux, and in the case of AS,
flux depended substantially on p97. The comparative selectivity of ribophagic flux
relative to other cytosolic cargo primarily reflected a lower basal rate of ribophagic
flux. Interestingly, autophagic flux of the cytosolic reporter LDHB-Keima in response to
either AS or Reversine was largely dependent upon ATG5−/−
(Supplemental Fig. 5c,d).
In contrast, Tor1-dependent turnover of cytosolic forms of Keima is ATG5-independent,
but with similar overall flux rates as observed with ribosomes (Supplemental Fig. 3a). This suggests that
bulk autophagy induced by mTOR inhibition is mechanistically distinct from that induced
by some, but not all, forms of proteotoxic stress. It remains to be determined whether
the key parameters for determining the dependency on ATG8 conjugation involve either the
types of cargo being produced or, alternatively, the overall abundance of the cargo
needing to be degraded through autophagy.Selective autophagy often involves the Ub system[30]. Whether and how Ub supports ribophagy in
mammals is unknown, although 40S ribosomal subunits are ubiquitylated upon
stress[31]. We found that the Ub
activating enzyme UBA1 inhibitor MLN7243 reduces AS-induced ribophagic flux by
3-4—fold and LDHB flux to a lesser degree (1.6—fold) (Supplemental Fig. 5e–h), but did
not affect Tor1 or Reversine-induced ribophagic flux (Supplemental Fig. 5e–i). AS
promotes phosphorylation of the Ub-binding autophagy receptor p62 (also called SQSTM1),
stimulating its ability to bind and inhibit the NRF2Ub ligase KEAP1as well as
promoting p62 recruitment to autophagic cargo[29]. However, p62 deletion in Ribo-Keima reporter cells had no
effect on AS or Reversine-induced ribophagic flux (Supplemental Fig. 5j–l), indicating
that p62 is not essential for ribophagic flux under these conditions. Further studies
are necessary to understand the mechanism of Ub usage in cargo selection during
stress-induced autophagy. Finally, we found that diverse cytosolic proteins are captured
under conditions ostensibly used to promote selective forms of organellar autophagy at
levels comparable to that seen upon induction of bulk autophagy with mTOR inhibition.
While cytosolic proteins may be captured within autophagosomes during organellar
capture, referred to as “by-stander” autophagy[12,13], the
magnitude of non-selective cargo capture observed here was often comparable to that seen
upon induction of bulk autophagy by Tor1. This raises the possibility that some agents
used to promote selective organellar autophagy may also induce proteotoxic stress that
then simultaneously promotes bulk autophagy. In this regard, formation of
“ectopic” autophagosomes unlinked to mitochondrial cargo has been
observed upon treatment with depolarization agents[32]. Whether or not stress granules are selectively degraded as
opposed to being cleared via stress induced bulk autophagy that is ATG8 dependent
remains unclear, but is suggested by our finding that levels of AS that do not generate
obvious stress granules nevertheless induce widespread autophagic degradation of
ribosomes and LDHB (Supplemental Fig.
5c). This work suggests the importance of testing alternative cargo when
examining the selectivity of cargo capture and degradation, emphasizes the emerging
theme[8,9] that some forms of induced autophagy need not be ATG8
conjugation dependent, and provides a framework and tools for analysis of selective
autophagy.
METHODS
Methods and any associated references are available in the online version of
the paper.
Antibodies and chemicals
The following antibodies and reagents were used in this study: Keima
(M126-3M, MBL), RPS3 (9538s, Cell Signal Technology), RPL28 (ab138125, Abcam),
LC3B (2775S, Cell Signal Technology), ATG5 (12994s, Cell Signal Technology),
ATG12 (4180T, Cell Signal Technology), BECN1 (3495, Cell Signal Technology), p70
S6K (2708T, Cell Signal Technology), p70 S6K phospho-T389 (9234S, Cell Signal
Technology) Actin (sc-69879, Santa-Cruz), Tubulin (ab7291, Abcam), PCNA (SC56,
Santacruz), KEAP1 (10503-2-AP, Proteintech), p62 (H00008878-M01, Novus
Biologicals), Flag (M8823, Sigma), Puromycin antibody (MABE343, EMD Millipore),
p62 p-S349 (Abgent, AP20690b), Ubiquitin (Dako, z045801-2), Anti-Mouse IgG
(H+L) HRP conjugate (w4021, Promega), Western Lightning Plus-ECL
(NEL105001, Perkin Elmer), Anti-Rabbit IgG (H+L), HRP conjugate (w4011,
Promega), Bortezomib (A2614, APExBIO), IRDye 800CW Goat anti-Mouse IgG
H+L (925-32210, LI-COR), Torin1 (14379, Cell Signal Technology), SAR405
(A8883, APExBio), Bafilomycin A (B1793, Sigma), Chloroquine diphosphate salt
(C6628, Sigma), Lysotracker Green (L7526, ThermoFisher Scientific), ER-Tracker
Green (E34251, ThermoFisher Scientific), CellLight Golgi-GFP (C10592,
ThermoFisher Scientific), HBSS (14025092, Invitrogen), E64d (A1903, APExBIO),
Pepstatin A (P5318, Sigma), Reversine (R3904, Sigma), Sodium (meta) arsenite
(S7400, Sigma), Hydrogen peroxide solution (H1009, Sigma), Cycloheximide (C1988,
Sigma), Diazaborine (530729, EMDmillipore), Puromycin Dihydrochloride
(P-600-500, Gold Biotechnology), Brefeldin A (9972s, Cell Signal Technology),
CB5083 (CB-5083, Selleckchem), Tunicamycin (T7765, Sigma), Poly-L-lysine
solution (P4832, Sigma), Lipofectamine 3000 (L3000008, Invitrogen), FluoroBriteDMEM (A1896701, ThermoFisher Scientific), Benzonase Nuclease HC (71205-3,
Millipore), SURVEYOR Mutation Detection Kit (706025, Integrated DNA
Technologies), GeneArt Precision gRNA Synthesis Kit (A29377, ThermoFisher
Scientific), RNasin (N2111, Promega), Neon Transfection System (MPK1025,
ThermoFisher Scientific). The dilutions and clone numbers of all antibodies used
in this study can be found in Supplementary Table 3.
Cell culture
HEK293, HCT116, and HEK293T cells were grown in Dulbecco’s
modified Eagle’s medium (DMEM) supplemented with 10% fetal calf
serum and maintained in a 5% CO2 incubator at
37°C.
Generation of Keima knock-in cell lines using CRISPR-Cas9 gene
editing
gRNAs targeting C-terminus region of humanRPS3 and
RPL28 genes were designed using the CHOPCHOP website
(http://chopchop.cbu.uib.no/). The guide sequence for
RPS3 gene (5′- GACATACCTGTTATGCTGTG-3′) and
RPL28 gene (5′- CTTTCTCACCTGCCTCGAC-3′)
were assembled into pX330 plasmid[33]. Donor vector was constructed by assembling Keima-Flag
transgene with upstream and downstream homology arms (650 nucleotide each) into
digested pSMART plasmid by Gibson assembly. HEK293 and HCT116 cells were
transfected with donor and gRNA vectors (1 to 1 ratio) by Lipofectamine 3000
(Invitrogen). Five days after the transfection, Keima fluorescent positive cells
were sorted into 96 well plates by flow-cytometry (MoFlo Astrios EQ, Beckman
Coulter). Three weeks later, the expanded single-cell colonies were screened for
the integration of the Keima transgene by genotyping, followed by immunoblotting
with anti-Keima, anti-RPS3 or anti-RPL28, and anti-Flag antibodies. Finally,
genomic DNA of colonies showing integration of Keima by genotyping and
immunoblotting methods were isolated and the targeted regions were PCR amplified
for sequencing confirmation. The sequences of primers used for genotyping can be
found in Supplementary Table
1.
Generation of gene knock-out cell lines using CRISPR-Cas9 gene
editing
ATG5 and BECN1 knock-out on HEK293 cell lines was carried out by
electroporation method. Initially, six guide RNAs for ATG5 and BECN1 knock-out
were designed using CHOPCHOP website. The in vitro transcription of gRNA
templates was carried out using GeneArt Precision gRNA synthesis kit, followed
by the purification. Cas9 protein and gRNA complex were electroporated into
HEK293 cells using Neon® Transfection System Kit (Thermo Fisher
Scientific). 48 hours after the electroporation, gene cleavage efficiency of
each guide RNA was measured by Surveyor assay. The following gRNA was shown the
best cutting efficiency among the tested guides: ATG5
(5′-GATCACAAGCAACTCTGGAT-3′, exon5) and BECN1
(5′-GTAGTAGGCACCTGGCTGGG-3′, exon4). Single cell was sorted into
96 well plate using limiting dilution method, and expanded clonal cells were
screened by immunoblotting with anti-ATG5 or anti-BECN1 antibodies. ATG5, p62
knock-out on HCT116 cell lines and p62 knock-out on HEK293 cell lines were
carried out by plasmid based transfection of Cas9/gRNA using pX449 plasmid as
described previously[33] using
the following guide sequence: 5′-GATCACAAGCAACTCTGGAT-3′ (exon5)
for ATG5, 5′-GCGAGGGAAAGGGCTTGCAC-3′ (exon3) and
5′-TGTAGCGTCTGCGAGGGAAA-3′ (exon3) for p62. After initial
screening by immunoblotting, clear knock-out was further confirmed by
Next-generation sequencing. The sequences of primers used for the Surveyor assay
and Next-generation sequencing can be found in Supplementary Table
1.
Cloning and generation of stable cell lines
Cloning
Full-length clones for humanLamp1, LC3, eIF4E, LDHB, TOMM20, ACTB,
PSMD12, PEX3, and ATG5 were obtained from the human orfeome collection (ver.
8). Lysine to arginine substitution in ATG5 was created using standard
site-directed mutagenesis. The destination pHAGE vectors containing
N-terminal or C-terminal eGFP and Keima tags were prepared by Gibson
assembly. Using Gateway cloning system, lentiviral based expression vectors
containing N-terminal tandem eGFP tagged LC3, C-terminal tandem eGFP tagged
Lamp1 and eIF4E, and N- or C-terminal tandem Keima tagged constructs were
generated. In the case of Lamp1-eGFP construct, the linker between Lamp1 and
the eGFP was replaced into GGSGGS sequence by Gibson assembly to prevent
possible mis-localization of the protein because the linker immediately
follows the YXXI sorting motif on C-terminal site of Lamp1.
Stable cell line generation
293T cells were transfected with the corresponding lentivral
expressing vectors using Lipofectamine 3000 (Invitrogen). Virus-containing
supernatant was harvested 48h post-transfection. HEK293 and HCT116 cell
lines were infected with the virus to create stable cell lines. In the case
of eGFP-LC3 and Lamp1-eGFP expressing cell lines, eGFP positive cells were
single cell sorted by flow-cytometry to generate clonal cell lines.
Free-Keima, Keima-LC3, mito-Keima, LDHB-Keima, TOMM20-Keima, Keima-ACTB,
PSMD12-Keima, and PEX3-Keima expressing cell lines were first selected with
Puromycin (Invitrogen) for at least one week, then sorted by flow-cytometry
(MoFlo Astrios EQ, Beckman Coulter) twice with 2weeks interval in order to
equalize the Keima expression levels. Keima signal level of RPS3-Keima
expressing cells was used as standard for sorting cells with similar Keima
expression level.
Cell lysis and immunoblotting assay
Cells were cultured in the presence of the corresponding chemicals to
~50-60% confluency in 6-well plate, then trypsinized, pelleted
by centrifugation, washed with DPBS, and pelleted again. The cell pellet was
lysed with RIPA buffer containing mammalian protease inhibitor cocktail (Sigma)
and 20 unit/ml Benzonase (Millipore), followed by centrifugation (13000 rpm).
The concentration of the supernatant was measured by Bradford assay, and the
whole cell lysate was denatured by the addition of LDS supplemented with 100 mM
DTT, followed by boiling at 75°C for 5 minutes. 40 μg of each
lysate was loaded onto the 4-20% Tris-Gly gel (Thermo Fisher Scientific)
or 4-12% NuPAGE Bis-Tris gel (Thermo Fisher Scientific), followed by
SDS-PAGE with Tris-Glycin SDS running buffer (Thermo Fisher Scientific) or MESSDS running buffer (Thermo Fisher Scientific), respectively. The proteins were
electrotransferred to PVDF membranes (0.45 μm, Millipore), and then
immunoblotted using antibodies as indicated. For quantitative immunoblotting of
Keima reporter cells, 80-100 μg of total lysate was loaded on to
SDS-PAGE gel due to low expression level of Keima construct and small amount of
processed Keima level, except Keima-LC3 (35 μg). 4-20% Tris-Gly
gel was used to resolve the proteins. After transfer, the membrane was blocked
with 5% non-fat milk, incubated with anti-Keima mouse antibody
(4°C, overnight), washed three times with TBST (total 30 min), and
further incubated with fluorescent IRDye 800CW Goat anti-Mouse IgG H+L
secondary antibody (1:20000) for 2 hours. After severe wash with TBST for 30
min, the processed Keima band intensity (25kDa) was measured using OdysseyCLx
imager and divided by the normalized signal of intact-Keima protein. The
processed Keima to intact Keima-protein ratio was compared within the gel, and
where quantitation obtained from independent immunoblots were compared, Torin1
treatment condition was used as an internal control. In the case of Keima-LC3
cell lines, tubulin was used to normalize the processed Keima signal because LC3
is an autophagy machinery rather than a cargo. Thus, accumulated processed Keima
level normalized by tubulin level reflects total autophagy flux.
Sucrose density gradient fractionation
Cells were grown to 60% confluency in 15 cm dishes with or
without Bortezomib for 4 hours. Then the cells were treated with cycloheximide
(100 μg/ml) for 10 minutes and collected after trypsin treatment. 1.5 ml
of ribosome purification buffer (200 mM HEPES, 300 mM NaCl, 50 mM
MgCl2, 100 μg/ml cycloheximide, 0.5% Triton-X,
protease inhibitor tablet (Roche), 50 unit/ml RNasin) was added to resuspend the
cells, and the suspension was passed through a 23G needle over 10 times. After
centrifugation for 5 minutes with 13,000 rpm, the supernatant was loaded on top
of the 5-50% sucrose gradient column prepared in house. Using SW40 motor
(Beckman Coulter), the sucrose gradient was centrifuged for 2h at 35,000 rpm (4
°C), followed by 1 hour of no-break deceleration. A small hole was made
at the bottom of the tube, and the sample was fractioned into 1.5 ml tubes (750
μl each). RNA level was measured by Nano-drop (260 nm UV Abs), and each
fraction was immunoblotted using the corresponding antibodies.
In vitro translation reactions
Cells were grown to 60% confluency in 6-well plates. The cells
were treated with Puromycin (1 μg/ml) for 15 minutes, then harvested
after trypsin treatment. After the cell lysis using RIPA buffer, the
immunoblotting assay was performed with anti-Puromycin antibody.
Flow-cytometry analysis
Cells were grown in the presence of the corresponding chemicals to
60% confluency in 6-well plates, then collected after trypsin treatment.
After re-suspending the cells in a FACS buffer (1x DPBS, 1 mM EDTA, 1%
FBS, 25 mM HEPES, final pH 7.3-7.5), the cells were analyzed by flow-cytometry
(MoFlo Astrios EQ, Beckman Coulter). The data was processed by FlowJo software.
The 561/488 nm ratio distribution graph was processed in Prism software after
exporting the 488 and 561 nm ex/em intensity of individual cells (10000 cells)
were exported. An example of the gating strategy used for flow cytometry
analysis is shown in Supplementary Figure 5.
Calculation of approximate percentage of ribosomes undergoing ribophagy
before and after Torin1 treatment
HEK293 RPS3-Keima cells were collected in pH 7.3 or pH 4.5 buffer, and
incubated for 30 minutes. 561/488 nm excitation fold increase from cells in pH 7
buffer to pH 4.5 buffer was calculated to be 2.020 (a). This condition mimics
the situation that near 100% ribosomes are undergoing ribophagy, because
all the cytosolic ribosomes are in pH 4.5. The 561/488 nm excitation fold
increase of control cells and Torin1 (24h) treated cells responsive to
Bafilomycin A was 0.027 and 0.194, respectively (b and c, respectively). This
value represents lysosomal population of ribo-Keima before and after 24h of
Torin1 treatment. The ratio of (b) to (a) is 1.3% and the ratio of (c)
to (a) is 10.4%, which represents the percentage of ribosomes undergoing
ribophagy before and after Torin1 treatment compared to the total ribosomes.
Live-cell confocal microscopy
Cells were plated onto 33 mm-glass bottom dish (No. 1.5, 14 mm glass
diameter, MatTek) pre-treated with poly-L-lysine, then incubated in phenol-red
free medium (FluoroBrite™DMEM, Thermo Fisher) containing L-glutamine (2
mM) and sodium pyruvate (1 mM) for 48 hours. Followed by the treatment with
corresponding chemicals or HBSS, the cells were stained with 2.5 μg/ml
Hoechst 33342 (Thermo Fisher Scientific) for 10 minutes. The media was replaced
to fresh FluoroBrite™DMEM (37°C), and cells were imaged using a
Yokogawa CSU-X1 spinning disk confocal with Spectral Applied Research Aurora
Borealis modification on a Nikon Ti motorized microscope equipped with a Nikon
Plan Apo 60×/1.40 N.A objective lens. Pairs of images for ratiometric
analysis of mKeima fluorescence were collected sequentially using 100 mW 442 nm
and 100 mW 561 solid state lasers attenuated and controlled with an AOTF
(Spectral Applied Research LMM-5), and emission collected with a 620/60 nm
filter (Chroma Technologies). Widefield fluorescence images of Hoeschst were
collected using a Lumencor SOLA light source, 395/35nm excitation and 480/40nm
emission filters (Chroma Technologies). Both confocal and widefield images were
acquired with the same Hamamatsu ORCA-ER cooled CCD camera and MetaMorph
software. Seven z-series optical sections were collected with a step-size of 0.7
microns, using the Nikon Ti internal focus motor. Z-series are displayed as
maximum z-projections, and gamma, brightness, and contrast were adjusted for
each image equally using FiJi software. For the live-cell imaging of cells
expressing Golgi-mEGFP, HEK293 RPS3-Keima cells were transiently transfected
with CellLight Golgi-GFP (C10592, ThermoFisher Scientific) for 24 hours. Then
the cells were further incubated with Torin (150 nM) or the combination of Torin
and SAR405 (150 nM, 1 μM, respectively) for 24h before imaging. Confocal
images of mEGFP fluorescence were collected using 100 mW 488 nm solid state
laser and 525/50 nm emission filter (Chroma Technologies).
Quantitative image analysis
Serial z stack image sections taken with 60× objective lens were
combined using maximum intensity projection function in FiJi software. Without
any cutting, the original images were processed as follows.
Step 1. Cell segmentation
Hoechst channel showing stained nucleus was processed as follows: 1)
back-ground subtraction, 2) auto threshold, make binary, fill holes, dilate,
and water shed, 3) connected components labeling using “find
connected regions” plug-in to make “marker”. Then
the 442ex/620em Keima channel was processed as follows: 1) Gaussian blur, 2)
subtract background, 3) auto threshold, make binary, and dilate. Using
marker controlled segmentation function in MorphoLibJ plug-in, the two
processed image channels were combined to generate
“mask”.
Step 2. Track-mate
The 442 ex/620 em and 561 ex/620 em channels were stacked, and Keima
puncta co-localized with in 3pixel distance were analyzed using TreackMate
function. This step generated a xml file containing co-localization and
puncta intensity information of the whole image plain.
Step 3. MatLab coding
Using Matlab software, the xml file was processed in a way that any
puncta with 561/448 intensity ratio over 0.5 were assigned to the
corresponding cells segmented in Step 1. This resulted in two new images
showing segmented cells and numerically assigned puncta in each cell.
Colocalization of Lamp1-eGFP, eGFP-LC3, and Lysotracker green with red Keima
puncta was performed by FiJi software. Any puncta in the size of 7 pixel and
intensity of 7 (arbitrary number) were found in both 488ex/620em and
561ex/620em channels. Among the puncta that passed the intensity and size
thresholds, the total puncta number that appeared in both channels within
5pixel distance was divided by the total number of puncta analyzed in
488ex/620em channel image. For the random co-occurrence measurement, the
488ex/561em channel image was shifted 10 μm to a random direction.
And the co-localization analysis between the two channels was performed
following the same procedure.
Code Availability
The MetLab code used for unbiased image quantitation in this study is
available from the corresponding author on reasonable request.
Electron microscopy
HEK293; wt, ATG5−/−,
BECN1−/− cells were grown to 60%
confluency in 6-cm culture dishes and incubated with HBSS for 4.5h. The cells
were then fixed with 1.25% paraformaldehyde, 2.5%
glutaraldehyde, 0.03% picric acid followed by osmication and uranyl
acetate staining, dehydration in alcohols and embedded in Taab 812 Resin
(Marivac Ltd, Nova Scotia, Canada). Sections were cut with Leica ultracut
microtome, and picked up on formvar/carbon-coated copper slot grids. Right
before the imaging, the grids were stained with 2% uranyl acetate for 5
minutes to increase ribosome contrast, followed by 0.2% lead citrate
staining. The samples were imaged under the Phillips Tecnai BioTwin Spirit
transmission electron microscope.
Statistics and Reproducibility
All statistical data were calculated using GraphPad Prism 7. Comparisons
of data in Figure 4b–d were
performed by one-way analysis of variance (ANOVA) with Sidak’s multiple
comparisons test. Comparisons of the rest of the data were performed by two-way
ANOVA with Tukey’s multiple comparisons test; p-values <0.01
were considered significant. All experiments were repeated at least three times
unless otherwise indicated.
Data availability
The source data for statistical analyses of Figure 2b, 2f–h, 3b, 4b, 4d–e, 4g, 4l, 5e–f, and Supplemental Figure 2j, 3a,
5c, and 5h are provided in Supplementary Table 2. All other data supporting the findings of
this study are available from the corresponding author on reasonable
request.
Authors: F Ann Ran; Patrick D Hsu; Jason Wright; Vineeta Agarwala; David A Scott; Feng Zhang Journal: Nat Protoc Date: 2013-10-24 Impact factor: 13.491
Authors: Laura Hewitt; Anthony Tighe; Stefano Santaguida; Anne M White; Clifford D Jones; Andrea Musacchio; Stephen Green; Stephen S Taylor Journal: J Cell Biol Date: 2010-07-12 Impact factor: 10.539
Authors: Gregory A Wyant; Monther Abu-Remaileh; Evgeni M Frenkel; Nouf N Laqtom; Vimisha Dharamdasani; Caroline A Lewis; Sze Ham Chan; Ivonne Heinze; Alessandro Ori; David M Sabatini Journal: Science Date: 2018-04-26 Impact factor: 47.728