Kevin D Clark1, Colin Lee2, Rhanor Gillette2,3, Jonathan V Sweedler1,2,3,4. 1. Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States. 2. Neuroscience Program, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States. 3. Department of Molecular and Integrative Physiology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States. 4. Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.
Abstract
Subtle changes in the landscape of post-transcriptional modifications have emerged as putative regulators of central nervous system plasticity and activity-induced protein synthesis. However, simultaneous characterization of multiple RNA modifications and their covariation during learning and memory paradigms has been impeded by the complexity of animal models and lack of untargeted approaches for identifying pathway-relevant RNA modifications in small-volume samples. Here, we used mass spectrometry to profile spatiotemporal changes in dozens of neuronal RNA modifications in Aplysia californica during behavioral sensitization of a simple defensive reflex. Unique RNA modification patterns were observed in the major ganglia of trained and naı̇ve animals, with two tRNA modifications, namely, 5-methoxycarbonylmethyl-2-thiouridine (mcm5s2U) and 1-methyladenosine (m1A), at significantly higher levels in trained subjects. We report that tRNAs, and their modifications, correlate with increased polyglutamine synthesis and excitability in neurons, characterizing the first link between noncoding RNA modifications and non-associative learning.
Subtle changes in the landscape of post-transcriptional modifications have emerged as putative regulators of central nervous system plasticity and activity-induced protein synthesis. However, simultaneous characterization of multiple RNA modifications and their covariation during learning and memory paradigms has been impeded by the complexity of animal models and lack of untargeted approaches for identifying pathway-relevant RNA modifications in small-volume samples. Here, we used mass spectrometry to profile spatiotemporal changes in dozens of neuronal RNA modifications in Aplysia californica during behavioral sensitization of a simple defensive reflex. Unique RNA modification patterns were observed in the major ganglia of trained and naı̇ve animals, with two tRNA modifications, namely, 5-methoxycarbonylmethyl-2-thiouridine (mcm5s2U) and 1-methyladenosine (m1A), at significantly higher levels in trained subjects. We report that tRNAs, and their modifications, correlate with increased polyglutamine synthesis and excitability in neurons, characterizing the first link between noncoding RNA modifications and non-associative learning.
Dynamic post-transcriptional
modifications to RNA are increasingly
recognized for their roles in tuning the translation of the cellular
proteome. Over 100 structurally unique RNA modifications have been
discovered that influence folding, stability, and translation efficiency
in coding and noncoding RNAs alike.[1−6] Some of these modifications are reversible,[7,8] while
others are deposited substoichiometrically on RNA molecules,[9,10] resulting in a mosaic of differentially modified cellular RNAs (i.e.,
the epitranscriptome) that have been implicated in the regulation
of cell stress response,[11−13] development,[14] cell differentiation,[15] and
cell-to-cell signaling.[16]Numerous
RNA modifications are essential for normal function of
the central nervous system (CNS),[17−22] but little is known about whether dynamic regulation of these epitranscriptomic
marks contributes to its remarkable plasticity. Modification-specific
antibodies have revealed region-dependent changes in the levels of
N6-methyladenosine (m6A) during oligodendrocyte differentiation,[23] acute restraint stress exposure,[24] and contextual fear conditioning tasks.[25,26] These studies also highlight a broad range of time scales over which
post-transcriptional modifications are controlled: on the order of
days for cell differentiation, to just minutes for learning-related
changes in modified RNAs. Despite a general consensus that such epitranscriptomic
regulation may be an understudied component in the molecular underpinnings
of learning and memory,[27−29] the covariation of multiple RNA
modifications during activity-dependent plasticity has not been explored
due to the complexity of vertebrate models.One successful approach
to understanding the mechanisms that underlie
learning and memory has been to characterize neuronal correlates of
simple defensive reflexes in the invertebrate model Aplysia
californica (Aplysia).[30] Non-associative learning in this animal is governed by
a host of biophysical changes initiated by the monoamine neurotransmitter
serotonin (5-HT), including post-translational modifications[31−33] and pre- and postsynaptic protein synthesis occurring minutes after
the application of sensitizing stimuli.[34,35]Aplysiacytoplasmic polyadenylation element binding protein (ApCPEB) is
one of the few known products of 5-HT-induced translation that is
required for maintenance of long-term facilitation and possesses an
unusual poly-Gln tract at its N-terminus.[36] Given that RNA modifications play a newly appreciated role in enhancing
translation rates for proteins with poly-Xaa motifs,[37−39] it is conceivable that the landscape of post-transcriptional modifications
in Aplysia neurons contributes to rapid translation
of learning-related mRNAs, resulting in facilitation/behavioral sensitization.
However, only a single modified nucleoside has been reported in the Aplysia CNS[40] where the abundance,
distribution, and learning-related functions of neuronal RNA modifications
have yet to be characterized.Here, we demonstrate that non-associative
learning in Aplysia coincides with characteristic
time- and region-dependent rearrangements
of neuronal RNA modification profiles. Using a liquid chromatography
(LC)–tandem mass spectrometry (MS/MS) approach optimized for
RNA modifications,[41] we identified higher levels of 7-methylguanosine
(m7G) in total RNA extracts as well as 1-methyladenosine
(m1A) and 5-methoxycarbonylmethyl-2-thiouridine (mcm5s2U) in tRNA during behavioral sensitization of
the tail-elicited siphon withdrawal reflex (TSWR). Treatment of ganglia
with mcm5s2U-rich tRNA isolated from sensitized
donors increased levels of poly-Q proteins and produced electrophysiological
hallmarks of increased excitability in neurons. Together these results
provide the first evidence linking tRNA modification profiles to learning
and memory and suggest that RNA modification constitutes an additional
regulatory layer for protein synthesis that contributes to neuron
excitability and ultimately, behavioral changes in Aplysia.
Results
RNA Modifications Heterogeneously Distributed Across the Aplysia CNS
We first established an inventory of
RNA modifications in the Aplysia CNS using LC-MS/MS,
identifying a total of 26 unique modified nucleosides in the major
ganglia (Table S1 of the Supporting Information (SI) and Figure A). Technical replicates for RNA digests from the pedal ganglion,
which contains neurons involved in locomotion and defensive reflex
behaviors, showed that peak areas for modified nucleosides had an
average relative standard deviation (RSD) of 7.6 ± 3.6% (n = 3); average RSD values for biological replicates (n = 4) were 21.0 ± 13.0% (Table S2). RNA digests from the abdominal and pleural ganglia showed
the highest between-animal variance with average RSD values of 38.8
± 9.2 and 45.4 ± 17.0%, respectively. To determine whether
RNA extraction contributed to variation in RNA modification abundances,
we spiked isotopically labeled RNA into ganglia homogenates and performed
modification analysis. Stable isotopically labeled canonical nucleosides
were detected (Figure S1), but no isotopologues
of modified nucleosides were observed. These data show that the variation
in RNA modification profiles between animals is ganglion-specific.
Figure 1
LC-MS/MS
characterization of numerous RNA modifications in the Aplysia CNS. (A) Extracted ion chromatograms for modified
nucleosides (±0.01 m/z) in
the pedal ganglion: m1A, Am, m6A (m/z 282.12); m3C, m5C, Cm (m/z 258.11); m7G, Gm, m2G (m/z 298.12); m4Cm (m/z 272.13); m2,2,7G (m/z 326.15); m2,2G (m/z 312.13), m6,6A (m/z 296.14); mcm5s2U (m/z 333.08); and i6A (m/z 336.17). The inset shows the MS/MS spectrum used
to positively identify mcm5s2U. (B) PCA score
and (C) loading plots using 13 total RNA modifications in Aplysia ganglia.
LC-MS/MS
characterization of numerous RNA modifications in the Aplysia CNS. (A) Extracted ion chromatograms for modified
nucleosides (±0.01 m/z) in
the pedal ganglion: m1A, Am, m6A (m/z 282.12); m3C, m5C, Cm (m/z 258.11); m7G, Gm, m2G (m/z 298.12); m4Cm (m/z 272.13); m2,2,7G (m/z 326.15); m2,2G (m/z 312.13), m6,6A (m/z 296.14); mcm5s2U (m/z 333.08); and i6A (m/z 336.17). The inset shows the MS/MS spectrum used
to positively identify mcm5s2U. (B) PCA score
and (C) loading plots using 13 total RNA modifications in Aplysia ganglia.We then determined whether RNA modification profiles were spatially
distinct across the Aplysia CNS. Unsupervised principal
component analysis (PCA) of 13 RNA modifications showed that ganglia
generally clustered together (Figure B). Pleural ganglia showed the weakest clustering,
presumably due to higher animal-to-animal variation (vide supra).
Heterogeneity between ganglia was driven primarily by N6,6-dimethyladenosine
(m6,6A), m6A, and 5-methylcytidine (m5C), as well as 2′-O-methylation of guanosine
(Gm) and cytidine (Cm) (Figure C). These results highlight the influence of noncoding RNAs
(e.g., m6,6A) in establishing ganglia-specific RNA modification
patterns.
Non-associative Learning in Aplysia Accompanied
by Global Changes in Total Neuronal RNA Modification Profiles
Sensitization of the TSWR in Aplysia involves heightened
response to innocuous stimuli as a result of successive applications
of a noxious stimulus (e.g., electrical shock). To determine whether
neuronal RNA modification profiles were altered at different time
points during sensitization training, we subjected animals to behavioral
training and either a 0.5 or 24 h delay before the TSWR test (Figure A). TSWR times were
significantly longer for both the 0.5 and 24 h groups (Figure B), indicating sensitization.
Animals were excluded if they did not display a significantly longer
TSWR time.
Figure 2
Unique RNA modification profiles in the pedal ganglia for naive
and sensitized animals. (A) Behavioral timeline for sensitization
of Aplysia tail-elicited siphon withdrawal reflex
(TSWR). (B) Comparison of TSWR duration for representative cohorts,
each consisting of six animals that were assayed 0.5 or 24 h post-training
or were naive to electrical shock. Error bars are ±1 SD, (ns)
indicates an animal that did not show a statistically different mean
TSWR duration. ** indicates a significantly different (p < 0.005) mean TSWR duration compared to naive Aplysia (unpaired t test). (C) PCA score and (D) loading
plots of 20 RNA modifications in the pedal ganglia of naive or sensitized
animals (0.5 or 24 h post-training). (E) Quantities of select RNA
modifications in the pedal ganglia of sensitized and naive Aplysia. Error bars are ±1 SD. Unpaired t test, Bonferroni correction: * p < 0.05, ** p < 0.005, and *** p < 5 × 10–4. (F) PCA score and (G) loading plots of 18 RNA modifications
in the cerebral ganglia of trained and untrained animals.
Unique RNA modification profiles in the pedal ganglia for naive
and sensitized animals. (A) Behavioral timeline for sensitization
of Aplysia tail-elicited siphon withdrawal reflex
(TSWR). (B) Comparison of TSWR duration for representative cohorts,
each consisting of six animals that were assayed 0.5 or 24 h post-training
or were naive to electrical shock. Error bars are ±1 SD, (ns)
indicates an animal that did not show a statistically different mean
TSWR duration. ** indicates a significantly different (p < 0.005) mean TSWR duration compared to naive Aplysia (unpaired t test). (C) PCA score and (D) loading
plots of 20 RNA modifications in the pedal ganglia of naive or sensitized
animals (0.5 or 24 h post-training). (E) Quantities of select RNA
modifications in the pedal ganglia of sensitized and naive Aplysia. Error bars are ±1 SD. Unpaired t test, Bonferroni correction: * p < 0.05, ** p < 0.005, and *** p < 5 × 10–4. (F) PCA score and (G) loading plots of 18 RNA modifications
in the cerebral ganglia of trained and untrained animals.RNA modification profiles were then established for the behavioral
groups. PCA showed no obvious differences between groups for the abdominal
or pleural ganglia (Figure S2). However,
RNA modification profiles in the pedal ganglia of sensitized animals
(0.5 h delay) were readily distinguished from naive and sensitized
animals (24 h delay) (Figure C). The naive animals and 24 h postsensitization group coclustered,
indicating similar neuronal RNA modification profiles. Figure D highlights seven RNA modifications
that contributed to the separation of sensitized animals (0.5 h) from
other animals of the cohort: methylcytidine positional isomers (m3C, m5C, Cm), m6A, m6,6A,
m7G, and Gm. We then subjected a new cohort to behavioral
training and performed targeted analysis of these seven modifications.
Levels of m3C and m5C trended higher for the
0.5 h group compared to naive animals and were significantly higher
compared to the 24 h group (Figure E). Significantly higher amounts of m7G
(p < 5 × 10–4) were detected
in the 0.5 h group compared to both naive and 24 h postsensitization
groups. Cerebral ganglia were also distinguishable on the basis of
behavioral status (Figure F), where m1A and 2′-O-methyladenosine
(Am) contributed to group separation (Figure G). These results reveal time- and ganglia-specific
changes in RNA modification patterns during behavioral change.
mcm5s2U and m1A Modifications
in Neuronal tRNAs Correlation with Sensitization
Given the
heterogeneity of noncoding RNA modification distribution in the Aplysia CNS, we then asked whether tRNA modification profiles
responded to behavioral training. Subtle clustering of behavioral
status was observed for tRNA modifications in the cerebral ganglia
(Figure S3), but an obvious distinction
between naive and sensitized animals was observed in the pedal ganglia
(Figure A). Clustering
was driven by m1A and, to a lesser extent, m7G, m3C, and m6A (Figure B), which were also important in total RNA
fractions for distinguishing naive and sensitized animals (Figure D,G). Hierarchical
clustering analysis recapitulated the results of the behavioral training,
providing a strong link between pedal tRNA modifications and non-associative
learning. Inspection of the heat map (Figure C) shows m1A, m5C,
mcm5s2U, N4-acetylcytidine (ac4C),
and N2-methylguanosine (m2G) at higher levels in nearly
all sensitized animals relative to their naive counterparts. A trend
toward lower Cm amounts in sensitized animals was also observed. While
these modifications exist in multiple tRNAs, mcm5s2U was the only modification unambiguously involved in translation
since it is positioned solely in the anticodon of the three eukaryotic
tRNAs in which it is present: tRNALysUUU (tKUUU), tRNAGluUUC (tEUUC), and tRNAGlnUUG (tQUUG).[37] We therefore
examined mcm5s2U levels in a new cohort of animals,
as well as m1A levels given their strong influence on clustering
of naive and sensitized groups. Both mcm5s2U
and m1A were again observed at higher abundance (p < 0.005 and p < 0.05, respectively)
in sensitized compared to naive animals (Figures D and S4). These
results highlight differential tRNA modification in naive and sensitized
animals and implicate an anticodon modification (mcm5s2U) in the early stages of non-associative learning, raising
the question of whether select tRNA modifications promote the synthesis
of learning-related proteins.
Figure 3
tRNA modification profiles in the pedal ganglion
distinguish naive
and sensitized animals. (A) PCA of 25 neuronal tRNA modifications
for naive and sensitized Aplysia (pedal ganglia pooled
from four animals). (B) Loading plot for panel A. (C) Heat map diagram
showing hierarchical clustering analysis of tRNA modifications in
pedal ganglia of sensitized and naive animals. (D) Comparison of mcm5s2U and m1A levels in the tRNA fraction
of pedal ganglia from naive and sensitized animals. Error bars are
±1 SD. Unpaired t test, Bonferroni correction:
* p < 0.05 and ** p < 0.005.
tRNA modification profiles in the pedal ganglion
distinguish naive
and sensitized animals. (A) PCA of 25 neuronal tRNA modifications
for naive and sensitized Aplysia (pedal ganglia pooled
from four animals). (B) Loading plot for panel A. (C) Heat map diagram
showing hierarchical clustering analysis of tRNA modifications in
pedal ganglia of sensitized and naive animals. (D) Comparison of mcm5s2U and m1A levels in the tRNA fraction
of pedal ganglia from naive and sensitized animals. Error bars are
±1 SD. Unpaired t test, Bonferroni correction:
* p < 0.05 and ** p < 0.005.
Treatment of Neurons with tRNA from Sensitized
Animals Increased
Synthesis of Poly-Q Proteins
We then considered whether the
mcm5s2U modification contributes to synthesis
of a particular class of proteins in sensitized animals. The hypermodified
uridine at position 34 in the anticodon of tKUUU, tEUUC, and tQUUG is known to modulate translation
rates for poly-K, -E, and -Q,[37,39] so we asked whether
any proteins containing these motifs are involved in sensitization
in Aplysia. One such protein, ApCPEB, contains 72
Q residues out of the N-terminal 160 amino acids and is rapidly synthesized
following 5-HT stimulation.[36,42] To confirm 5-HT induction
of ApCPEB, we subjected pedal-pleural ganglia to 5 × 5 min bath
applications of 5-HT (15 min wash after each), and immunostained with
poly-Q-specific primary antibody MW1.[43] Higher fluorescence intensities (119 ± 5% of control, n = 2) were observed for pedal serotonergic (PS) cluster
neurons in ganglia treated with 5-HT compared to untreated pedal ganglia
(Figure S5A–D), which aligns with
previous findings that showed 5-HT increased ApCPEB levels in pedal-pleural
homogenates.[42] We then asked whether treatment
of pedal ganglia with tRNA from sensitized animals would similarly
induce translation of poly-Q. For these experiments, we transfected
pedal-pleural ganglia with pedal tRNA from sensitized animals, incubated
for 30 min, and immunostained for poly-Q. Higher fluorescence intensities
(128 ± 9%, p = 0.035, n = 3)
were observed in PS neurons of tRNA-treated ganglia relative to controls
(Figures A,B, and S5E–J). Taken together with our mass spectrometry
(MS) data, these findings implicate tRNAs and their modifications
in the rapid translation of poly-Q proteins.
Figure 4
Treatment of pedal ganglia
with tRNA from sensitized donors, increasing
abundance of poly-Q proteins and spike frequency. Immunostaining of
poly-Q in pedal hemiganglia treated with (A) vehicle only or (B) vehicle
and pedal tRNA from sensitized donors after 30 min incubation. Representative
intracellular recordings from excitability tests for neurons in the
pedal serotonergic (PS) cluster (C) before and after electroporation
(EP) with pedal tRNA from sensitized donors (n =
6) or (D) naive donors (n = 14). Bar below recording
indicates period of electrical stimulation. Cells were stimulated
with 0.5–2.5 nA depending on the amount of current needed to
elicit spikes. The same amount of depolarizing current was injected
for pre- and post-EP tests. Resting potentials ranged from −27
to −55 mV for the studied cells and did not change after EP
(paired t test). (E) Baseline normalized stimulation-induced
firing rates for neurons post-EP. The red dashed line shows 100% (no
change). Error bars are ±1.5 standard error. Mann–Whitney
U test, * p < 0.05. (F) Sample electrophysiological
recording from excitability tests of neurons in the PS cluster before
and after EP of pedal tRNA from sensitized donors and anisomycin treatment
(n = 5).
Treatment of pedal ganglia
with tRNA from sensitized donors, increasing
abundance of poly-Q proteins and spike frequency. Immunostaining of
poly-Q in pedal hemiganglia treated with (A) vehicle only or (B) vehicle
and pedal tRNA from sensitized donors after 30 min incubation. Representative
intracellular recordings from excitability tests for neurons in the
pedal serotonergic (PS) cluster (C) before and after electroporation
(EP) with pedal tRNA from sensitized donors (n =
6) or (D) naive donors (n = 14). Bar below recording
indicates period of electrical stimulation. Cells were stimulated
with 0.5–2.5 nA depending on the amount of current needed to
elicit spikes. The same amount of depolarizing current was injected
for pre- and post-EP tests. Resting potentials ranged from −27
to −55 mV for the studied cells and did not change after EP
(paired t test). (E) Baseline normalized stimulation-induced
firing rates for neurons post-EP. The red dashed line shows 100% (no
change). Error bars are ±1.5 standard error. Mann–Whitney
U test, * p < 0.05. (F) Sample electrophysiological
recording from excitability tests of neurons in the PS cluster before
and after EP of pedal tRNA from sensitized donors and anisomycin treatment
(n = 5).
Electroporation with tRNA from Sensitized Animals Increased
Neuron Excitability
We then asked whether altering the tRNA
content of individual neurons would result in the electrophysiological
hallmarks of sensitization. We electroporated ∼10 pg of pedal
tRNA from sensitized (0.5 h) or naive animals into PS cluster neurons,[44] which project to the tail nerve and are activated
by sensitizing stimuli.[45,46] After 30 min, neurons
that were electroporated with tRNA from sensitized donors showed significantly
increased responses to depolarizing current (n =
6, 423 ± 183% of baseline firing rate) as compared to neurons
electroporated with either tRNA from naive animals (n = 14, 91 ± 11% of baseline; U = 8.5, p = 0.0204) or vehicle solution (n = 3,
80 ± 21% of baseline; U = 1, p = 0.0476) (Figures C–E and S5K). These findings were
similar to increased excitability induced by 5-HT (Figure S5L) and previous reports of increased firing rates
in PS cluster neurons.[46] Neurons electroporated
with tRNA from naive animals showed no significant difference from
neurons treated with vehicle alone (p = 0.4857) (Figure E).To determine
if the tRNA-induced excitability was protein synthesis-dependent,
we electroporated neurons with pedal tRNA from sensitized animals
while applying a bath of the protein synthesis inhibitor anisomycin.
Postelectroporation firing rates (n = 5, 96 ±
4% of baseline) were significantly reduced compared to neurons treated
with tRNA from sensitized animals (U = 4; p = 0.0498) and were not significantly different from either
tRNA from naive donors (p = 0.5968) or vehicle-treated
groups (p = 0.5253) (Figure E,F). Baseline firing rates were not significantly
different between groups (p = 0.1063, one-way ANOVA).
These results indicate that hyperexcitability induced by electroporation
with tRNA was protein synthesis-dependent and support a contributing
role for neuronal tRNAs and their modifications in neuronal excitability.
Discussion
Rapid translation of select mRNAs is a well-established
phenomenon
in learning and memory paradigms that involves both pre- and postsynaptic
mechanisms to tightly regulate spatiotemporal protein profiles in
neurons. Here, we report evidence that neuronal RNA modifications
constitute an additional layer of regulation during non-associative
learning in Aplysia. Using state-of-the-art MS, we
found that RNA modifications not only exhibited spatial heterogeneity
(Figure ) but also
temporal dependence in the pedal and cerebral ganglia following behavioral
sensitization (Figure C,F). Notably, striking differences in m1A and mcm5s2U abundances were observed between naive and
sensitized animals (Figure ). These findings support the existence of heterogeneous pools
of modified tRNAs in neurons that, upon activation by sensitizing
stimuli, may (i) favor the transcription/stabilization of select tRNA
isoacceptors, (ii) reprogram modification statuses of tRNAs, or (iii)
a combination of both mechanisms. The results also raise the intriguing
possibility that tRNAs are differentially modified to fine-tune translation
during sensitization. Indeed, stress-induced changes in tRNA modification
profiles have been linked to the translation of codon-biased mRNAs
in yeast as well as mycobacteria.[11,12,47]In Aplysia, our data implicate
changes in tRNA
modifications during non-associative learning that facilitate the
translation of Q-rich proteins, such as the learning-related protein
ApCPEB. Since the absence of mcm5s2U in tQUUG results in ribosome pausing at cognate codons,[39] the behavioral training-induced increases in
mcm5s2U levels we observed may gate poly-Q translation.
This hypothesis is supported by our finding that the treatment of
pedal ganglia with tRNA from sensitized donors increases poly-Q abundance
(Figure A,B). It is
possible that introducing excess tRNA to Aplysia neurons
may result in the translation of poly-Q proteins not ordinarily synthesized
during sensitization. Our tRNA electroporation experiments address
this question in part by showing increased PS neuron excitability
mediated by protein synthesis (Figure C–F). Moreover, electroporation with tRNA from
naive donors had no effect on PS neuron excitability, highlighting
the importance of training-induced tRNA modification profiles.Although questions remain about the specific RNA sequences that
are responsible for the changes observed in neuron activity, hallmarks
of sensitization have also been reported in Aplysia sensory neurons upon administration of RNA. Hyperexcitability of
sensory neurons was previously induced by noncoding RNA from the pedal-pleural
ganglia of sensitized donors,[48] which is
consistent with our findings linking electrophysiological changes
to tRNA. However, this does not rule out the possibility that other
noncoding RNAs are involved since tRNA fractions may contain other
RNAs of similar size.Despite their involvement in the TSWR,
we did not detect sensitization-induced
changes to RNA modifications in the abdominal or pleural ganglia.
This may be due to larger between-animal variation in RNA modifications
(Table S2), perhaps stemming from the giant
neurons in these ganglia (∼0.5–1 mm diameter) that contain
up to 2 μg of RNA.[49] This represents
∼15% of the total RNA in a typical ganglionic extract, rendering
our whole-ganglia sampling approach less likely to detect subtle changes
in these ganglia. With the development of increasingly sensitive analytical
methods that simultaneously detect multiple RNA modifications, we
anticipate that the characterization of modification profiles of individual
neurons within behavioral circuits will further unravel the molecular
underpinnings of non-associative learning and memory formation.
Methods
Detailed methods are described in the Supporting Information.
Authors: Clement T Y Chan; Yan Ling Joy Pang; Wenjun Deng; I Ramesh Babu; Madhu Dyavaiah; Thomas J Begley; Peter C Dedon Journal: Nat Commun Date: 2012-07-03 Impact factor: 14.919
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