Kelly S Burke1, Katie A Antilla1, David A Tirrell1. 1. Division of Chemistry and Chemical Engineering, California Institute of Technology, 1200 East California Boulevard, Pasadena, California 91125, United States.
Abstract
Single-molecule fluorescence in situ hybridization (smFISH) is a simple and widely used method to measure mRNA transcript abundance and localization in single cells. A comparable single-molecule in situ method to measure mRNA translation would enable a more complete understanding of gene regulation. Here we describe a fluorescence assay to detect ribosome interactions with mRNA (FLARIM). The method adapts smFISH to visualize and characterize translation of single molecules of mRNA in fixed cells. To visualize ribosome-mRNA interactions, we use pairs of oligonucleotide probes that bind separately to ribosomes (via rRNA) and to the mRNA of interest, and that produce strong fluorescence signals via the hybridization chain reaction (HCR) when the probes are in close proximity. FLARIM does not require genetic manipulation, is applicable to practically any endogenous mRNA transcript, and provides both spatial and temporal information. We demonstrate that FLARIM is sensitive to changes in ribosome association with mRNA upon inhibition of global translation with puromycin. We also show that FLARIM detects changes in ribosome association with an mRNA whose translation is upregulated in response to increased concentrations of iron.
Single-molecule fluorescence in situ hybridization (smFISH) is a simple and widely used method to measure mRNA transcript abundance and localization in single cells. A comparable single-molecule in situ method to measure mRNA translation would enable a more complete understanding of gene regulation. Here we describe a fluorescence assay to detect ribosome interactions with mRNA (FLARIM). The method adapts smFISH to visualize and characterize translation of single molecules of mRNA in fixed cells. To visualize ribosome-mRNA interactions, we use pairs of oligonucleotide probes that bind separately to ribosomes (via rRNA) and to the mRNA of interest, and that produce strong fluorescence signals via the hybridization chain reaction (HCR) when the probes are in close proximity. FLARIM does not require genetic manipulation, is applicable to practically any endogenous mRNA transcript, and provides both spatial and temporal information. We demonstrate that FLARIM is sensitive to changes in ribosome association with mRNA upon inhibition of global translation with puromycin. We also show that FLARIM detects changes in ribosome association with an mRNA whose translation is upregulated in response to increased concentrations of iron.
Gene expression is regulated at both the
transcriptional and translational
levels. For many genes, changes in mRNA and protein levels are not
correlated,[1−4] and protein abundance is often dominated by translation rather than
transcription.[5] Translational regulation
is necessary to coordinate the timing, amount, and location of protein
synthesis, and is essential to biological processes including cell
morphogenesis and migration,[6,7] organismal development,[8] responses to cell stress,[9] and memory formation.[10]Ensemble
biochemical methods are widely used to measure global
changes in mRNA transcription and translation in cells. The most common
method for transcriptomic analysis is RNA-seq.[11] Ribosome profiling is an extension of RNA-seq in which
mRNA fragments bound by ribosomes are isolated and sequenced to assess
mRNA translation.[3,12,13] The translation efficiency of a particular mRNA can also be determined
by fractionating ribosomes using sucrose density gradient centrifugation
and measuring the relative abundances of the mRNA in the polysome
and nonpolysome fractions.[14] These methods
measure genome-wide expression levels in populations of cells (although
RNA-seq has been modified to measure mRNA expression in single cells
as well[15]). Because these methods require
cell disruption, they provide no information about subcellular localization
of transcription and translation for particular genes. In order to
study local gene regulation, in situ methods that detect mRNA and
protein within cells are required.Various in situ fluorescence
imaging techniques have been developed
to study transcription and translation in single cells with spatial
and temporal resolution.[16] Transcription
is commonly measured with single-molecule fluorescence in situ hybridization
(smFISH), in which mRNAs are probed with fluorophore-labeled DNA oligonucleotides
so that their numbers and locations in single cells can be quantified.
Several methods have been developed to enhance the brightness and
specificity of smFISH.[17,18] Recently, the single-molecule
hybridization chain reaction (smHCR) has been developed to achieve
bright, robust signals for detection of mRNA in cultured cells as
well as in thick tissue samples.[19] Changes
in protein translation can be measured via 35S-methionine
labeling,[20] bioorthogonal noncanonical
amino acid tagging (BONCAT),[21,22] or puromycylation.[23−25] The latter methods can be combined with the proximity ligation assay
(PLA)[26] to detect translation of specific
proteins in situ,[27] but none of these approaches
provide information about mRNA abundance or location.Live-cell
fluorescence imaging techniques have utilized dual labeling
systems in which an mRNA is genetically tagged with stem-loop recognition
elements (MS2 or PP7 stem loops) to which a fluorescently labeled
coat protein binds, and the interaction of the mRNA with ribosomes
is detected by colocalization of a second label.[28−30] Recently, multiple
live-cell imaging methods have been developed to simultaneously detect
an mRNA and its nascent polypeptide product. Here, a reporter mRNA
contains MS2 or PP7 stem loops, and the nascent polypeptide encodes
an array of epitope tags to which genetically encoded fluorescent
antibodies bind.[31−35] Colocalization of fluorescence signals from an mRNA and its nascent
polypeptide indicates active translation of that mRNA. These methods
are the first to provide single-molecule resolution of mRNA translation
events in single living cells. However, they are limited to monitoring
reporter mRNAs rather than endogenous transcripts. The cloning required
to implement these methods may affect cellular behavior and may not
be feasible for all cell types and mRNAs of interest.We have
developed an imaging method that uses RNA in situ hybridization
and the hybridization chain reaction (HCR) to probe translation of
unmodified endogenous mRNA transcripts in single fixed cells (Figure A). We call this
method FLARIM, for fluorescence assay to detect ribosome interactions with mRNA. FLARIM
reveals interactions between individual mRNAs and ribosomes to provide
a measure of the extent of active translation of the target mRNA species.
The method does not require genetic manipulation of cells and can
be applied to almost any mRNA of interest. As ribosome profiling extends
RNA-seq to quantify mRNAs bound by ribosomes, FLARIM extends smFISH
to identify ribosome-bound mRNAs and to monitor the changes in ribosome–mRNA
interaction that accompany cellular perturbations. Because FLARIM
yields images of fixed cells, the subcellular locations where mRNAs
interact with ribosomes can be determined.
Figure 1
(A) Schematic of method
to detect ribosome–mRNA interactions
in situ. Multiple DNA oligonucleotide probes are hybridized to ribosomes
via rRNA and two different mRNA regions. For illustration purposes,
only a single probe per ribosome and mRNA region is shown. Top: When
an mRNA is bound by ribosomes, the linker probe can hybridize across
the extension sequences of both the ribosome probes and the mRNA interaction
probes, and thereby produce a fluorescence signal via HCR. Bottom:
When an mRNA is not bound by ribosomes, the linker probe hybridizes
weakly to extensions on the ribosome probes and the mRNA interaction
probes and can be washed out of cells. (B) NIH 3T3 fibroblasts hybridized
with either ribosome probes, mRNA interaction probes to β-actin,
or both ribosome and β-actin mRNA interaction probes (top, green,
Alexa 546 fluorescence). Cells are simultaneously hybridized with
β-actin transcript probes (middle, red, Alexa 488 fluorescence).
Nuclei are stained with DAPI (blue). Merge of ribosome–mRNA
interaction signals and transcript signals (bottom). Scale bar = 10
μm. (C) Zoom of single mRNA molecules. Red spot: mRNA transcript
without ribosome interaction. Yellow spots: mRNA transcripts with
ribosome interaction. Scale bar = 1 μm. (D) Fraction of β-actin
transcript spots colocalized with ribosome–mRNA interaction
spots. Error bars, standard deviation. Data represent two independent
experiments, n = 10 or 11 cells per experiment.
(A) Schematic of method
to detect ribosome–mRNA interactions
in situ. Multiple DNA oligonucleotide probes are hybridized to ribosomes
via rRNA and two different mRNA regions. For illustration purposes,
only a single probe per ribosome and mRNA region is shown. Top: When
an mRNA is bound by ribosomes, the linker probe can hybridize across
the extension sequences of both the ribosome probes and the mRNA interaction
probes, and thereby produce a fluorescence signal via HCR. Bottom:
When an mRNA is not bound by ribosomes, the linker probe hybridizes
weakly to extensions on the ribosome probes and the mRNA interaction
probes and can be washed out of cells. (B) NIH 3T3 fibroblasts hybridized
with either ribosome probes, mRNA interaction probes to β-actin,
or both ribosome and β-actin mRNA interaction probes (top, green,
Alexa 546 fluorescence). Cells are simultaneously hybridized with
β-actin transcript probes (middle, red, Alexa 488 fluorescence).
Nuclei are stained with DAPI (blue). Merge of ribosome–mRNA
interaction signals and transcript signals (bottom). Scale bar = 10
μm. (C) Zoom of single mRNA molecules. Red spot: mRNA transcript
without ribosome interaction. Yellow spots: mRNA transcripts with
ribosome interaction. Scale bar = 1 μm. (D) Fraction of β-actin
transcript spots colocalized with ribosome–mRNA interaction
spots. Error bars, standard deviation. Data represent two independent
experiments, n = 10 or 11 cells per experiment.Here we introduce and characterize
FLARIM in NIH 3T3mouse fibroblasts.
We first demonstrate the method by detecting the interaction of β-actin
mRNA with ribosomes and by probing how this interaction changes upon
treatment with the translation inhibitor puromycin. Both the fraction
of mRNAs bound to ribosomes and the intensities of individual interaction
signals decrease. We then examine translational regulation of ferritin
heavy chain (FTH1) mRNA in response to added iron. We observe an increase
in ribosome–mRNA interaction over a 24-h iron incubation period.
We also note a small increase in FTH1 mRNA copy number for cells treated
with iron, in contrast to previous reports that FTH1 mRNA levels are
unchanged by addition of iron.[36,37] FLARIM thus provides
both spatial and temporal information about two of the key steps in
regulation of gene expression.
Results and Discussion
To visualize
ribosome-bound mRNAs, we use pairs of oligonucleotide
probes that bind separately to ribosomes (via rRNA) and to the mRNA
of interest, and that produce strong fluorescence signals via the
hybridization chain reaction (HCR) when in close proximity (Figure A). Ribosomes are
hybridized with multiple oligonucleotide probes that bind to 18S rRNA.
We used the mouse rRNA secondary structure of Holmberg et al.[38] to identify regions on the 18S rRNA that are
relatively unstructured and that contain bases shown to be accessible
for chemical modification. We preferentially targeted our ribosome
probes to these regions and designed 24 unique probes in total. We
verified that the corresponding sense probes for 18S rRNA do not produce
fluorescence via FISH (Figure S1). An mRNA
of interest is hybridized with two different sets of oligonucleotide
probes: one (designated “mRNA interaction probes”) that
pairs with the ribosome probes to form binding sites for a linker
probe that carries an HCR initiator, and a second (“mRNA transcript
probes”) that separately labels the mRNA transcript with a
different HCR initiator. Interaction probes are targeted to the coding
sequence (CDS), the region of the mRNA that is translated by ribosomes.
Transcript probes are primarily targeted to untranslated regions (5′UTR
and 3′UTR) of the mRNA. We targeted each mRNA region with 15–36
probes. Multiple probes are used per target in order to increase the
signal-to-noise ratio and to discriminate signal arising from true
mRNAs from signal resulting from nonspecific binding of individual
probes.[39,40] Sequences of all oligonucleotide probes
used in this study are listed in Supplemental Table 1.Each mRNA transcript probe contains an HCR initiator
sequence and
a 25-nucleotide (nt) region complementary to the mRNA. In HCR, a single-stranded
initiator sequence is used to bind and open fluorescently labeled
DNA hairpins that then assemble into a fluorescent polymer, resulting
in a bright fluorescent signal at the site of amplification. Choi
and co-workers have introduced five unique HCR initiator sequences
(designated B1–B5), each with a corresponding pair of HCR hairpins
for fluorescence amplification.[17] We used
the B2 HCR initiator and its corresponding hairpins coupled to Alexa
Fluor 488 for all mRNA transcript probes (Figure S2, Table S1). Each mRNA interaction probe and each ribosome
probe contain a 25-nt region complementary to its target RNA, a 13-nt
polyA spacer, and a 22-nt extension sequence. A common extension sequence
is used for all mRNA interaction probes, and a different extension
sequence is used for all ribosome probes (Figure S2, Table S1).Extension sequences on the mRNA interaction
and ribosome probes
are hybridized with an oligonucleotide linker probe bearing a 26-nt
binding sequence that spans both extensions when they are in close
proximity (15 nt hybridize to the mRNA extensions; 11 nt hybridize
to the ribosome extensions) (Figure S2).
The binding strength of the linker is tuned with formamide, which
lowers the melting temperature of DNA.[41] The amount of formamide in solution during the linker hybridization
step and subsequent wash steps is adjusted such that the linker remains
bound when it spans both extension sequences but not when it hybridizes
only one extension (Figure A). We determined the appropriate amount of formamide by titrating
it in our wash solution and our hybridization buffer during the linker
hybridization step. We found that 35% formamide removed the most background
signal without comprising hybridization of mRNA transcript probes
(Figure S3).The linker probe also
contains an HCR initiator sequence. We used
the B3 HCR initiator and its corresponding HCR hairpins coupled to
Alexa Fluor 546 to amplify fluorescence signals associated with the
linker probe. Signals from the linker probes and from mRNA transcript
probes appear as single, diffraction-limited spots when visualized
by confocal microscopy (Figure C). In the ideal FLARIM scheme, spots that colocalize in the
Alexa 488 (shown in red throughout this study) and Alexa 546 (shown
in green throughout this study) channels indicate mRNAs bound to ribosomes;
spots that appear only in the Alexa 488 channel indicate mRNAs that
do not interact with ribosomes. On the basis of the assumption that
three nucleotides add ∼1 nm to the length of a DNA probe,[42] we estimated that ribosome probes and mRNA interaction
probes must be separated by no more than ∼18 nm if they are
to produce interaction signals.We first tested FLARIM in situ
in NIH 3T3 fibroblasts, using probes
designed for β-actin mRNA. Control experiments in which either
the mRNA interaction probes or the ribosome probes were omitted showed
little or no labeling from the linker probe, consistent with our expectation
that the linker can be effectively washed out of cells when it binds
only to an mRNA interaction probe or to a ribosome probe. However,
when both probe sets were present, we saw a significant increase in
signal from the linker probe (Figure B) and substantial colocalization of these signals
with those derived from the β-actin transcript probes (Figure C). We found on average
that 61 ± 4% (n = 21 cells) of β-actin
transcripts in the cytoplasm were colocalized with ribosomes.We examined β-actin transcript probes in control experiments
with either ribosome probes or mRNA interaction probes to ensure that
signals from the combination of the latter two probe sets showed significantly
higher colocalization to β-actin transcripts than to background
signals from either probe set alone. Both sets of HCR hairpins were
added to all control experiments. Samples with ribosome probes or
mRNA interaction probes alone produced punctate Alexa 546 emission
to which only 8 ± 1% (n = 10 cells) and 7 ±
2% (n = 11 cells) of Alexa 488 spots colocalized,
respectively (Figure D, Table S3). We also checked potential
background colocalization from the linker probe. Cells treated with
the linker probe alone produced spots of Alexa 546 emission that colocalized
to fewer than 1% (n = 11 cells) of Alexa 488 spots
(Table S3). We conclude that the levels
of false positive signals arising from nonspecific binding of the
linker, or from the HCR amplification step, are low. As a further
check on the method, we analyzed ribosome interaction with β-actin
mRNA in cell nuclei, where translation is not expected to occur. We
found that only 12 ± 12% (n = 10 cells) of β-actin
transcripts in cell nuclei colocalized with ribosome signal, consistent
with the results of the control experiments described above (Figure S4). The uncertainty in the measurement
of nuclear colocalization arises from the small number (average of
11 ± 4 spots per nucleus for 10 cells) of β-actin mRNA
spots in the nucleus. To determine the utility of FLARIM for the study
of transcripts characterized by lower copy numbers, we examined actin-related
protein 3 (Arp3) mRNA, which is ∼10× less abundant than
β-actin mRNA (we measured an average of 190 Arp3 mRNAs per cell, n = 31 cells). As with β-actin, we found that the
fraction Arp3 transcripts that colocalized to background signal from
ribosome or mRNA interaction probes alone was at least 8× lower
than the fraction that colocalized to signal from the combination
of both probe sets (Figure S5).The
percentage of cytoplasmic β-actin transcripts observed
to bind ribosomes (61 ± 4%) is almost certainly an underestimate.
Fluorescence signals generated by smFISH and smHCR invariably yield
less than 100% colocalization for probes targeted to the same message.[19,39,43] For example, Shah and co-workers
found that when using three sets of smHCR probes per transcript, approximately
85% of spots from a single channel colocalized with spots from at
least one other channel.[19] To set an upper
bound on the extent of ribosome–mRNA interaction to be expected
in our β-actin experiments, we performed another control experiment
in which we replaced the linker probe (which hybridizes to only 15
nt of the mRNA interaction probe) with a linker complementary to 24
nt of the interaction probe (see Figure S6 schematic). This experiment showed 74 ± 3% of Alexa 488 spots
to colocalize with spots in the Alexa 546 channel (Figure S6). This result indicates that the measured value
of 61 ± 4% is indeed an underestimate of the percent of cytoplasmic
β-actin transcripts bound to ribosomes. Our results are consistent
with the polysome profiling data of Ventoso and co-workers, who found
the fraction of β-actin mRNAs associated with polysomes in NIH
3T3 cells to be 0.72.[44]We tested
the sensitivity of FLARIM to changes in ribosome–mRNA
binding by treating cells with puromycin, a translation inhibitor
that causes dissociation of ribosomal subunits from mRNA.[45] The effect of puromycin is apparent in a comparison
of side-by-side images of treated and untreated cells (Figure A). Cells treated with puromycin
show less colocalization (yellow) between transcript spots (red) and
ribosome-mRNA interaction spots (green). The percentage of β-actin
transcripts interacting with ribosomes in the cytoplasm decreased
from 61 ± 4% in control cells to 38 ± 6% in puromycin-treated
cells (Figure B).
Furthermore, the intensities of the fluorescence signals associated
with single ribosome–mRNA interaction spots shifted to lower
values (Figure C),
indicating a reduction in the number of ribosomes bound per β-actin
transcript.
Figure 2
Translation inhibitor puromycin causes a significant decrease in
ribosome–mRNA interaction. (A) Ribosome–mRNA interaction
images for β-actin in NIH 3T3 cells that were either untreated
(left) or treated (right) with puromycin at 200 μg/mL for 1
h. In the puromycin sample, there is a noticeable decrease in detectable
colocalization (yellow) between β-actin mRNA transcript signals
(red, Alexa 488 fluorescence) and ribosome–mRNA interaction
signals (green, Alexa 546 fluorescence). Top, scale bar = 20 μm.
Bottom, scale bar = 2 μm. (B) Fraction of β-actin mRNA
transcript spots per cell colocalized with a ribosome–mRNA
interaction spot, with and without puromycin treatment. Dots represent
single cells. Data represent two independent experiments. n = 7–16 cells per condition per experiment. Error
bars, standard deviation. ****P < 0.0001, Student’s t test. (C) Distribution of fluorescence intensities of
ribosome–mRNA interaction spots for β-actin, with and
without puromycin treatment. Representative data from one experiment.
Control, n = 10 cells and 11 314 spots; puromycin, n = 7 cells and 5343 spots.
Translation inhibitor puromycin causes a significant decrease in
ribosome–mRNA interaction. (A) Ribosome–mRNA interaction
images for β-actin in NIH 3T3 cells that were either untreated
(left) or treated (right) with puromycin at 200 μg/mL for 1
h. In the puromycin sample, there is a noticeable decrease in detectable
colocalization (yellow) between β-actin mRNA transcript signals
(red, Alexa 488 fluorescence) and ribosome–mRNA interaction
signals (green, Alexa 546 fluorescence). Top, scale bar = 20 μm.
Bottom, scale bar = 2 μm. (B) Fraction of β-actin mRNA
transcript spots per cell colocalized with a ribosome–mRNA
interaction spot, with and without puromycin treatment. Dots represent
single cells. Data represent two independent experiments. n = 7–16 cells per condition per experiment. Error
bars, standard deviation. ****P < 0.0001, Student’s t test. (C) Distribution of fluorescence intensities of
ribosome–mRNA interaction spots for β-actin, with and
without puromycin treatment. Representative data from one experiment.
Control, n = 10 cells and 11 314 spots; puromycin, n = 7 cells and 5343 spots.The observed changes in signal colocalization and signal
intensity
with puromycin treatment demonstrate the sensitivity of the FLARIM
method to perturbations in ribosome association with mRNA. We found
no change in the average number of β-actin mRNAs per cell after
puromycin treatment (Figure S7). We measured
an average of ∼2000 β-actin transcripts per cell, in
agreement Schwanhäusser’s estimate of ∼2200 β-actin
transcripts per NIH 3T3 cell, as determined by mRNA sequencing.[5] We also found no change in the fraction of ribosome–mRNA
interaction spots colocalizing with β-actin transcript spots
after puromycin treatment (Table S5). To
estimate the total change in ribosome interaction with β-actin
mRNA after puromycin treatment, we multiplied the fraction of β-actin
mRNAs colocalized with ribosomes by the average intensity of the associated
Alexa 546 spots. We observed a 2.6-fold decrease in ribosome interaction
based on this metric (average of two independent experiments, n = 7–16 cells per condition per experiment). As
an additional check on the sensitivity of FLARIM measurements to changes
in ribosome association with mRNA, we treated cells with both puromycin
and 4E1RCat, which inhibits formation of the translation initiation
complex and hence prevents recruitment of the small ribosomal subunit
to mRNA.[46] The percentage of β-actin
transcripts interacting with ribosomes in this experiment dropped
to 23 ± 5% (Figure S8), indicating
that the signal observed with puromycin treatment alone may have reflected
binding of the small ribosomal subunit to the 5′ UTR of β-actin
mRNA.We subjected the FLARIM method to a second test by examining
the
translational regulation of ferritin synthesis in response to iron
treatment.[47] Under standard conditions
in cell culture, ferritin heavy chain (FTH1) mRNA is translationally
repressed by binding of an iron regulatory protein (IRP) to an iron
response element (IRE) in the 5′UTR. Upon addition of iron,
the IRP is released from the IRE, ribosomes bind to the mRNA, and
FTH1 is efficiently translated[5,48,49] (Figure A). Increases
in FTH1 protein levels in mammalian cells in response to elevated
iron are attributed to increased translation (not transcription),
as the levels of FTH1 mRNA have been shown to remain constant.[36,37]
Figure 3
Changes
in FTH1 expression in response to added iron. (A) Schematic
of translational regulation of FTH1 mRNA by iron. (B) Images illustrating
increase in ribosome–mRNA interaction for FTH1 after iron treatment
for 4 h (right) compared to a vehicle control (left). In the iron-treated
sample, there is a noticeable increase in detectable colocalization
(yellow) between FTH1 mRNA transcript signals (red, Alexa 488 fluorescence)
and ribosome–mRNA interaction signals (green, Alexa 546 fluorescence).
Representative results from three independent experiments are shown.
Scale bar = 20 μm. (C) Fraction of FTH1 mRNA transcript spots
per cell colocalized with a ribosome–mRNA interaction spot,
with and without iron treatment over time. Dots represent single cells.
Data represent three independent experiments. n =
10–17 cells per condition per experiment. Error bars, standard
deviation. ****P < 0.0001 (one-way ANOVA with
Dunnett’s test). (D) Distribution of fluorescence intensities
of ribosome–mRNA interaction spots for FTH1 in cells treated
with iron for 4 h compared to a vehicle control. Representative results
from one experiment. Vehicle, n = 17 cells and 3503
spots; 4 h, n = 15 cells and 9106 spots. (E) Changes
in FTH1 mRNA level per cell, with and without iron treatment for 4
h. Error bars, standard deviation. ***P < 0.0002,
****P < 0.0001 (one-way ANOVA with Dunnett’s
test).
Changes
in FTH1 expression in response to added iron. (A) Schematic
of translational regulation of FTH1 mRNA by iron. (B) Images illustrating
increase in ribosome–mRNA interaction for FTH1 after iron treatment
for 4 h (right) compared to a vehicle control (left). In the iron-treated
sample, there is a noticeable increase in detectable colocalization
(yellow) between FTH1 mRNA transcript signals (red, Alexa 488 fluorescence)
and ribosome–mRNA interaction signals (green, Alexa 546 fluorescence).
Representative results from three independent experiments are shown.
Scale bar = 20 μm. (C) Fraction of FTH1 mRNA transcript spots
per cell colocalized with a ribosome–mRNA interaction spot,
with and without iron treatment over time. Dots represent single cells.
Data represent three independent experiments. n =
10–17 cells per condition per experiment. Error bars, standard
deviation. ****P < 0.0001 (one-way ANOVA with
Dunnett’s test). (D) Distribution of fluorescence intensities
of ribosome–mRNA interaction spots for FTH1 in cells treated
with iron for 4 h compared to a vehicle control. Representative results
from one experiment. Vehicle, n = 17 cells and 3503
spots; 4 h, n = 15 cells and 9106 spots. (E) Changes
in FTH1 mRNA level per cell, with and without iron treatment for 4
h. Error bars, standard deviation. ***P < 0.0002,
****P < 0.0001 (one-way ANOVA with Dunnett’s
test).We used hemin, an iron porphyrin,
as the source of iron. When added
to cells in culture, hemin rapidly releases iron intracellularly,
and has been shown to induce ferritin synthesis.[36] We added hemin at a final concentration of 50 μM
to cell culture media and fixed cells after different periods of time.
Western blotting confirmed that the FTH1 protein level increased upon
addition of hemin (Figure S9). In companion
FLARIM experiments, we detected a noticeable increase in interaction
of the FTH1 mRNA with ribosomes in cells treated with hemin (Figure B). After 4 h of
treatment, the fraction of FTH1 mRNAs interacting with ribosomes per
cell doubled, from 21 ± 4% in vehicle-treated cells to 43 ±
7% in cells incubated with hemin. The extent of increased interaction
was essentially constant over 24 h (Figure C). The intensities of the fluorescence signals
associated with single ribosome–mRNA interaction spots also
shifted to higher values (Figure D, Figure S10). We found
no significant colocalization of FTH1 transcript signals to background
signals in control experiments containing only ribosome probes or
only mRNA interaction probes (Table S4).
We also found no difference in the fraction of ribosome–mRNA
interaction spots colocalizing with FTH1 transcript spots between
vehicle-treated and iron-treated cells (Table S6).As discussed previously with respect to β-actin,
FLARIM almost
certainly provides underestimates of the fractions of ribosome-bound
transcripts, owing to imperfect colocalization of the mRNA transcript
and interaction probes (Figure S6). Nevertheless,
the method reveals distinct increases in ribosome association with
FTH1 when translation of the mRNA is upregulated. Our finding that
FTH1 transcripts are translated at a lower rate than β-actin
transcripts is consistent with the polysome profiling data reported
by Ventoso et al., who found that only about 6% of FTH1 mRNAs are
associated with polysomes in NIH 3T3 cells in the absence of iron
treatment.[44]As before, we estimated
the change in ribosome interaction with
FTH1 mRNA after addition of iron by multiplying the fraction of FTH1
mRNAs colocalized with ribosomes by the average intensity of the associated
Alexa 546 spots for each treatment condition. After 4, 12, and 24
h of iron treatment, we observed 2.7-, 2.2-, and 2.3-fold increases,
respectively, in ribosome interaction with FTH1 mRNA compared to the
vehicle control (average of three independent experiments, n = 10–17 cells per condition per experiment).We detected an average of ∼1000 FTH1 transcripts per NIH
3T3 cell in our vehicle control condition. In comparison, Schwanhäusser
et al. estimated ∼2200 FTH1 transcripts per NIH 3T3 cell in
media with no added iron.[5] Although several
previous studies report that FTH1 mRNA levels in mammalian cells are
unchanged upon iron treatment,[36,37] we observed a slight
but statistically significant (P < 0.0002 at 4
h, P < 0.0001 at 12 and 24 h) increase in the
number of FTH1 mRNAs per cell after iron treatment (Figure E). On average, cells treated
with iron for 4–24 h contained roughly 40% more copies of FTH1
mRNA than untreated cells. This modest increase in mRNA may not have
been detectable with previous studies, which used Northern blotting
for quantification of FTH1 mRNA abundance.[36,37] The increase may also be a unique response in NIH 3T3 cells under
our experimental conditions. Studies that suggest unchanged levels
of FTH1 mRNA upon treatment with iron have focused on rat liver cells
and transgenic mouse fibroblasts.[36,37,50] However, an investigation of Friend erythroleukemia
cells (FLCs) found that FTH1 mRNA expression increased by up to 10-fold
upon treatment with hemin.[51] The fact that
FLARIM reveals changes in both mRNA interaction with ribosomes and
mRNA copy number illustrates the utility of the method in assessing
both translational and transcriptional control of gene expression
in single cells.
Conclusions
This study shows that
changes in ribosome association with endogenous,
unmodified mRNAs can be imaged and quantified in situ using standard
DNA oligonucleotide probes and HCR. We characterized this method,
which we termed FLARIM, in NIH 3T3mouse fibroblasts. We first measured
ribosome–mRNA interactions for β-actin in single cells
and detected a decrease in these interactions when cells were treated
with the translation inhibitor puromycin. We observed no significant
ribosome–mRNA interactions in cell nuclei, where translation
is not expected to occur, although a few studies report conflicting
evidence.[24,52] We also detected increased ribosome binding
to FTH1 mRNA when cells were treated with iron, and surprisingly,
we noted an increase in FTH1 mRNA levels in concert with the increase
in ribosome interaction. Because FLARIM interrogates both transcriptional
and translational processes, it has the potential to provide unique
insights into the nature of gene regulation in single cells. Although
FLARIM was applied only to mouse cells in this study, we designed
a nearly identical set of ribosome probes for human 18S rRNA (Table S2) to facilitate FLARIM studies in human
cells.FLARIM is simple and inexpensive, uses commercially available
reagents
and common laboratory equipment, and requires no genetic manipulation
of the cells of interest. Experiments can be completed in 2–3
days from cell fixation to image collection and analysis. Compared
to various proximity ligation assays,[53,54] which could
conceivably be adapted to analyze interactions between ribosomes and
mRNA, FLARIM requires fewer steps and is enzyme-free, making it cheaper
and easier to modify for different sample types. The method is also
amenable to the study of fixed clinical samples, which are inaccessible
to techniques that require cloning. We anticipate that FLARIM will
be especially useful in studies of local mRNA translation. For example,
neurons contain thousands of different mRNA transcripts in their dendrites
and or axons,[55] and FLARIM is well suited
to the monitoring of changes in ribosomal association of these transcripts
in response to external stimuli. In similar fashion, studies of local
translation during embryonic development[56] should prove fruitful.FLARIM should be applicable to essentially
any mRNA of interest;
however, it does require that the mRNA be efficiently hybridized with
oligonucleotide probes. It is conceivable that short mRNAs may not
bind a sufficient number of probes to produce reliable signals. Using
a higher number of probes is known to improve the robustness of mRNA
detection[39] and to increase the ratio of
signal to autofluorescence,[40] although
the number of probes needed for reliable mRNA detection may depend
on the target transcript. It is also important to note that FLARIM
does not yield a numerically accurate measure of the number of mRNAs
being translated in the cell. Rather, it provides an approximate measure
of translation, useful for comparisons among samples, along with spatial
information and a measure of mRNA copy number. We use ribosome interaction
as a proxy for translation, but it is known that mRNAs can be bound
by ribosomes without being translated, e.g., in the case of ribosome
stalling.[57]It should be straightforward
to modify the FLARIM method to enable
studies of other molecular interactions in single cells. In addition
to RNA–RNA interactions, protein–RNA and protein–protein
interactions can be revealed by using antibodies conjugated to DNA
oligonucleotides or by using aptamer probes.[58] Interactions with DNA might be measured by combining the method
with DNA FISH techniques. The method is designed in a manner that
makes it highly tunable. In adapting the method to detect interactions
between different molecular species and in different cell types, the
probe sequences and the stringency of the wash buffer can easily be
adjusted to lower background and ensure that HCR amplification occurs
essentially only from interacting probe pairs. Probe sequences can
also be engineered to increase or decrease the maximum distance between
probes that allows for signal generation.
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