Literature DB >> 27633015

Temperature regulates splicing efficiency of the cold-inducible RNA-binding protein gene Cirbp.

Ivana Gotic1, Saeed Omidi2, Fabienne Fleury-Olela1, Nacho Molina2, Felix Naef2, Ueli Schibler1.   

Abstract

In mammals, body temperature fluctuates diurnally around a mean value of 36°C-37°C. Despite the small differences between minimal and maximal values, body temperature rhythms can drive robust cycles in gene expression in cultured cells and, likely, animals. Here we studied the mechanisms responsible for the temperature-dependent expression of cold-inducible RNA-binding protein (CIRBP). In NIH3T3 fibroblasts exposed to simulated mouse body temperature cycles, Cirbp mRNA oscillates about threefold in abundance, as it does in mouse livers. This daily mRNA accumulation cycle is directly controlled by temperature oscillations and does not depend on the cells' circadian clocks. Here we show that the temperature-dependent accumulation of Cirbp mRNA is controlled primarily by the regulation of splicing efficiency, defined as the fraction of Cirbp pre-mRNA processed into mature mRNA. As revealed by genome-wide "approach to steady-state" kinetics, this post-transcriptional mechanism is widespread in the temperature-dependent control of gene expression.
© 2016 Gotic et al.; Published by Cold Spring Harbor Laboratory Press.

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Keywords:  Cirbp; circadian rhythms; splicing efficiency; temperature

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Year:  2016        PMID: 27633015      PMCID: PMC5066242          DOI: 10.1101/gad.287094.116

Source DB:  PubMed          Journal:  Genes Dev        ISSN: 0890-9369            Impact factor:   11.361


Temperature is a fundamental physical parameter that influences metabolism in all organisms by modulating the rate of biochemical reactions. Endothermic organisms like mammals have acquired special thermoregulatory adaptation mechanisms in order to decrease their dependence on environmental temperature. These mechanisms maintain core body temperature (CBT) within a favorable range, allowing efficient metabolic activity throughout diurnal and seasonal cycles (for review, see Tattersall 2012). Although regulated around a species-specific set point, mammalian CBT shows diurnal oscillations of ∼0.4°C–6.0°C (for review, see Refinetti 2010). These regular oscillations are generated under the control of the circadian timekeeping system, which is composed of a master pacemaker in the brain's suprachiasmatic nucleus (SCN) and subsidiary peripheral clocks in nearly all other cells of the body (Dibner et al. 2010). Although peripheral circadian oscillators are self-sustained and cell-autonomous, they must be synchronized by the SCN and/or environmental Zeitgebers (timing cues), such as light–dark cycles, in order to maintain phase coherence and rhythmic physiology in the body. Without a functional SCN, laboratory rodents kept in constant darkness lose virtually all overt rhythms in behavior and physiology, including CBT cycles (Refinetti et al. 1994). While the period length (τ) of circadian oscillations is remarkably resilient to temperature variations, a phenomenon called temperature compensation, the phase is exquisitely sensitive to temperature perturbations, in particular in peripheral cells. In fact, in cultured fibroblasts and tissue explants, the phase of circadian clock gene expression can be perfectly synchronized by simulated CBT cycles (Brown et al. 2002; Buhr et al. 2010; Saini et al. 2012). In intact animals, the systemic synchronization cues governed by the SCN and/or environment also comprise feeding–fasting behavior and blood-borne factors (for review, see Schibler et al. 2015). Owing to this complexity, it is challenging to assess to what extent CBT rhythms contribute to diurnal gene expression and the synchronization of peripheral clocks in vivo. Nonetheless, experiments with mice harboring inactive hepatocyte clocks revealed robust diurnal accumulation cycles for a number of heat- and cold-inducible transcripts. The peak expression of these transcripts at times when CBT was maximal and minimal, respectively, suggests that they are likely driven directly by body temperature oscillations (Kornmann et al. 2007). The up-regulation of many heat-inducible genes is mediated by transcriptional mechanisms depending on heat-shock transcription factors, mostly HSF1, whose monomers are sequestered into inert cytosolic protein complexes with HSP90 and other proteins at a lower CBT. Upon temperature elevation, HSF1 monomers get released, trimerize, translocate into the nucleus, and bind to heat-shock response elements (HSEs) within promoter and enhancer sequences of their target genes. The circadian core clock gene Per2 is among these targets, possibly explaining the contribution of HSF1 to the synchronization of circadian gene expression by simulated CBT rhythms (Reinke et al. 2008; Buhr et al. 2010; Tamaru et al. 2011; Saini et al. 2012). In contrast to the mechanisms governing heat-induced gene expression, those involved in cold-induced gene expression are still largely elusive. Cirbp, encoding the cold-inducible RNA-binding protein CIRBP (also abbreviated as CIRP), is among the proteins whose accumulation displays diurnal oscillations that are likely driven by CBT rhythms (Nishiyama et al. 1997, 1998; Kornmann et al. 2007; Morf et al. 2012). CIRBP was originally described as a human UV stress-induced factor, then named A18 hnRNP, involved in the cellular genotoxic stress response (Fornace et al. 1988; Yang and Carrier 2001). Its temperature-dependent expression became apparent during a PCR-based search for RNA-binding domain-containing proteins (RBPs) present in mouse testes (Nishiyama et al. 1997, 1998). CIRBP appears to be an important modulator of proliferation in cellular stress conditions, including cancer, where it is thought to exert an activating or inhibitory role depending on the cell type and the transformation state of the tumor (Hamid et al. 2003; Masuda et al. 2012; Ren et al. 2014; Sakurai et al. 2015; Wang et al. 2015). CIRBP is thought to protect bound target RNAs from degradation, enhance their export and translation in the cytoplasm (Yang and Carrier 2001; Morf et al. 2012), and regulate the choice of alternative polyadenylation sites (Liu et al. 2013). The role of CIRBP in circadian gene expression was discovered by loss-of-function experiments, which demonstrated its requirement for robust circadian gene expression in cultured NIH3T3 cells and mouse embryonic fibroblasts (Morf et al. 2012). Here we elucidate the molecular mechanisms underpinning temperature-mediated Cirbp expression in NIH3T3 fibroblasts. We show that pre-mRNA splicing efficiency is a critical parameter accounting, to a large extent, for the increased Cirbp mRNA accumulation at reduced temperatures. Moreover, the recording of genome-wide “approach to steady-state” (ATSS) kinetics of RNA transcript accumulation indicates that this mechanism is widespread in the control of temperature-dependent gene expression.

Results

Mild cold exposure increases the expression of a single Cirbp mRNA isoform without affecting its pre-mRNA levels

In various mouse tissues, Cirbp mRNA levels follow a diurnal pattern, reaching zenith and nadir values when body temperature is minimal and maximal, respectively (Supplemental Fig. S1A,B). Since local circadian oscillators are not required for these oscillations in animals (Kornmann et al. 2007) and since Cirbp mRNA accumulation is known to be temperature-dependent, we considered rhythmic Cirbp expression to be likely driven directly by CBT cycles. Indeed, simulated CBT rhythms are sufficient to elicit cyclic Cirbp mRNA and protein expression in cultured NIH3T3 fibroblasts (Morf et al. 2012), and we therefore used these cells to study the underpinning mechanisms. In contrast to mouse livers, this model system allowed us to identify the impact of temperature in the absence of potential confounding effects caused by circulating hormones and metabolites. Previous studies have shown that mild cold exposure (32°C) increases the concentration of Cirbp mRNA in cultured cells (Nishiyama et al. 1997). To examine whether the level of Cirbp pre-mRNA transcripts was also changed during cold exposure, we performed RNase protection assays (RPAs). By using an RNA probe that protects the intron 6–exon 7 boundary region of Cirbp transcripts from RNase A/T1 digestion, we were able to simultaneously quantify the levels of Cirbp pre-mRNA and mRNA species within a particular sample (Fig. 1A). As shown in Figure 1, B and C, cold exposure caused an increase in Cirbp mRNA but did not affect the level of its precursors. A similar conclusion was reached for diurnal Cirbp mRNA and pre-mRNA accumulation in mouse livers when we analyzed published RNA sequencing (RNA-seq) data (Atger et al. 2015). While Cirbp mRNA oscillated in abundance with the expected phase, Cirbp pre-mRNA levels remained nearly constant throughout the day (Supplemental Fig. S1C).
Figure 1.

Mild cold exposure increases the expression of a single Cirbp mRNA isoform without affecting its pre-mRNA levels in NIH3T3 cells. (A) Schematic representation of the RPA. A gene-specific radioactive RNA probe protects the intron–exon border of the unspliced transcripts and the remaining exon region of the spliced mRNA from RNaseA/T1-mediated degradation. The protected RNA fragments were size-fractionated on 12% urea–polyacrylamide sequencing gels and quantified by phosphorimaging. (B) RPA with a probe mix protecting the Cirbp intron 6–exon 7 border (50 base pairs [bp] of intron 6 and 200 bp of exon 7) and the first 60 bp of Ppib exon 6 in RNA samples from cells incubated for various time periods at 37°C and 32°C. (P) Probe; (ytRNA) yeast tRNA. (C). Quantification of Cirbp mRNA and pre-mRNA levels by RPA (B), represented as fold changes at the indicated time intervals after shifting the cells from 37°C to 32°C. The Cirbp transcript signals were normalized to Ppib transcript signals (see B). The data (average value ± standard deviations [SDs]) from three biological replicates are given. (D) Northern blot assay for Cirbp transcripts. The radioactive RNA probe was complementary to the full-length Cirbp mRNA. RNA was isolated from either total cell extracts (T), purified nuclei (N), or cytoplasm (C). (M) RNA size markers.

Mild cold exposure increases the expression of a single Cirbp mRNA isoform without affecting its pre-mRNA levels in NIH3T3 cells. (A) Schematic representation of the RPA. A gene-specific radioactive RNA probe protects the intron–exon border of the unspliced transcripts and the remaining exon region of the spliced mRNA from RNaseA/T1-mediated degradation. The protected RNA fragments were size-fractionated on 12% urea–polyacrylamide sequencing gels and quantified by phosphorimaging. (B) RPA with a probe mix protecting the Cirbp intron 6–exon 7 border (50 base pairs [bp] of intron 6 and 200 bp of exon 7) and the first 60 bp of Ppib exon 6 in RNA samples from cells incubated for various time periods at 37°C and 32°C. (P) Probe; (ytRNA) yeast tRNA. (C). Quantification of Cirbp mRNA and pre-mRNA levels by RPA (B), represented as fold changes at the indicated time intervals after shifting the cells from 37°C to 32°C. The Cirbp transcript signals were normalized to Ppib transcript signals (see B). The data (average value ± standard deviations [SDs]) from three biological replicates are given. (D) Northern blot assay for Cirbp transcripts. The radioactive RNA probe was complementary to the full-length Cirbp mRNA. RNA was isolated from either total cell extracts (T), purified nuclei (N), or cytoplasm (C). (M) RNA size markers. Next, we asked whether different temperatures induced the expression of specific Cirbp mRNA isoforms by either the use of different transcription start sites (TSSs), alternative splicing, and/or the use of different polyadenylation sites. To this end, we performed Northern blot experiments and analyzed the composition of transcripts at different temperatures by sequencing 5′ and 3′ products obtained in RACE (rapid amplification of cDNA ends) reactions. The Northern blot analysis revealed a single band corresponding to ∼1400 nucleotides for Cirbp mRNA irrespective of whether the RNA was extracted from cytoplasm or nuclei (Fig. 1D). As demonstrated by RPA and RACE analyses, the lengths (Supplemental Fig. S1D–F) and sequences (data not shown) of Cirbp mRNA 5′ and 3′ regions were indistinguishable at different temperatures.

Temperature-dependent Cirbp mRNA accumulation is regulated by a post-transcriptional mechanism

Since Cirbp pre-mRNA levels were found to be rather constant at different temperatures, we considered that Cirbp transcription might also be temperature-independent. To test this hypothesis, we performed a chromatin immunoprecipitation (ChIP) assay with an antibody directed against RNA polymerase II subunit b (POLR2B). Specifically, we quantified the levels of immunoprecipitated DNA fragments encompassing the Cirbp promoter or gene body regions in cells incubated for 6 h at 33°C or 38°C by quantitative real-time PCR (RT-qPCR). Our results revealed a prevalent presence of POLR2B at the Cirbp promoter, which was similar in both conditions, and barely detectable POLR2B levels at the exon 6–intron 6 border-spanning region of the gene (Fig. 2A,B). The dramatically higher density of POLR2B within the promoter-proximal region compared with the rest of the gene body probably implies a pausing of the polymerase within the 5′-proximal 200 base pairs (bp). It could be argued that the release of polymerase into the gene body and hence transcription efficiency could be temperature-dependent. However, this mechanism would not be compatible with the observation that pre-mRNA species encompassing downstream Cirbp regions do not vary in a temperature-dependent manner (Fig. 1B,C).
Figure 2.

Temperature-dependent Cirbp mRNA accumulation is regulated by a post-transcriptional mechanism. (A) POLR2B ChIP in cells incubated for 6 h at 33°C or 38°C. (B) IgG control ChIP. The Cirbp gene structure and the qPCR-amplified regions are depicted below the graphs. Data are presented as percentage of input DNA. n = 3–5 biological replicates. The bars represent SDs. (C) Cytomegalovirus (CMV)-gCirp-LMLucR reporter assay in cells exposed to simulated CBT cycles of 35.5°C–38.5°C for 6 d. Reporter construct schemes are depicted at the right, with Cirbp untranslated region (UTR)-encoding exons illustrated in white and protein-encoding exons shown in light gray. A representative recording of >10 experiments is shown. Data were normalized to the baseline curve explained in Supplemental Figure S2B.

Temperature-dependent Cirbp mRNA accumulation is regulated by a post-transcriptional mechanism. (A) POLR2B ChIP in cells incubated for 6 h at 33°C or 38°C. (B) IgG control ChIP. The Cirbp gene structure and the qPCR-amplified regions are depicted below the graphs. Data are presented as percentage of input DNA. n = 3–5 biological replicates. The bars represent SDs. (C) Cytomegalovirus (CMV)-gCirp-LMLucR reporter assay in cells exposed to simulated CBT cycles of 35.5°C–38.5°C for 6 d. Reporter construct schemes are depicted at the right, with Cirbp untranslated region (UTR)-encoding exons illustrated in white and protein-encoding exons shown in light gray. A representative recording of >10 experiments is shown. Data were normalized to the baseline curve explained in Supplemental Figure S2B. If Cirbp activity was regulated by post-transcriptional mechanisms, a temperature-insensitive promoter should still drive oscillating Cirbp expression in cells exposed to simulated CBT cycles. To examine this conjecture, we engineered a Cirbp-luciferase fusion gene in which the Cirbp promoter was replaced by the human cytomegalovirus (CMV) promoter. The activity of the commonly used Photinus phyralis firefly luciferase is considerably higher at reduced temperatures. This effect is attributed to reduced protein activity and a so-called red shift in the luminescence at higher temperatures (for review, see Koksharov and Ugarova 2012). Therefore, we used the more temperature-tolerant mutant Luciola mingrelica firefly luciferase (LMLucR) (Koksharov and Ugarova 2011) for the construction of the Cirbp-luciferase reporter gene. This enabled us to detect relatively modest amplitudes in temperature-dependent reporter gene expression in phase with the intrinsic temperature sensitivity of the luciferase protein. For the construction of the reporter gene dubbed gCirbp-LMLucR, the entire genomic Cirbp-encoding DNA region of 3.8 kb was cloned downstream from the CMV promoter and fused in-frame the with LMLucR gene. NIH3T3 cells were transiently transfected with the reporter construct and exposed to simulated CBT cycles, and the resulting bioluminescence was recorded in real-time during the following 6 d. As shown in Figure 2C, even under the control of a constitutively active promoter, the gCirbp-LMLucR construct exhibited temperature-dependent oscillations with the expected phase. This suggested the presence of a temperature-responsive element within the Cirbp pre-mRNA-encoding region and its independence of the Cirbp promoter. The low-amplitude bioluminescence oscillations detected in cells transfected with the control CMV-LMLucR construct (Fig. 2C) were not a reflection of transgene mRNA levels (Supplemental Figs. S2A, S3G). Likely, these were caused by residual temperature effects on the aforementioned luciferase protein characteristics.

Changes in mRNA stability contribute moderately to Cirbp temperature sensitivity

Having excluded transcription as the major mechanism for temperature-responsive Cirbp expression, we examined whether the stability of Cirbp mRNA was temperature-dependent. Generally, mRNA half-lives are estimated by measuring the levels of specific transcripts at increasing time intervals after the addition of transcription-blocking drugs or, alternatively, after metabolic labeling and isolation of newly synthesized RNA transcripts (for review, see Bensaude 2011). However, the RNA polymerase inhibitors and labeling components used by these methods can alter mRNA metabolism in cells (Fraschini et al. 2005), and their uptake, pool sizes, and/or activity rates may be different at different temperatures. To overcome these limitations, we used a noninvasive method known as ATSS (Greenberg 1972; Harrold et al. 1991) to estimate the half-life of Cirbp mRNA. The power of the ATSS method lies in its ability to discern the effects of different parameters on mRNA expression in the absence of potential confounding reactions caused by toxic drugs. In our version of ATSS, cells were abruptly shifted from 33°C to 38°C and vice versa, and Cirbp mRNA levels were determined at increasing time intervals after the temperature shift until the new steady state was reached. The principle underlying this strategy is explained in the legend for Figure 3A. Briefly, the time required for reaching 50% of the new temperature steady-state mRNA levels corresponds to the half-life of the mRNA (T1/2) at that temperature.
Figure 3.

mRNA stability cannot account for temperature-dependent Cirbp mRNA accumulation. (A) Mathematical model for mRNA accumulation of ATSS experiments after a rapid temperature shift, assuming temperature-independent synthesis of mature mRNA (transcription rate and splicing efficiency). The half-life of transcripts (T1/2) at a particular temperature is equal to the time needed to reach half of the new steady-state mRNA levels. (A,B) Steady-state mRNA concentrations at 33°C and 38°C, respectively. k = ln2/T1/2. (B) Schematic representation of the ATSS experiment. The cells were seeded and kept for 4 h at 37°C before the switch to 33°C or 38°C. After 16 h of incubation, the temperature was shifted within 10 min to 38°C or 33°C, respectively, and samples were taken at the indicated time points after the shift. (C) qPCR analysis of Cirbp mRNA expression after temperature downshift (left panel) and upshift (right panel). n = 4–11 time course series. Data were normalized to endogenous Ppib levels, which remain constant irrespective of temperature. Symbols represent fold changes between a particular time point and the t0 time point of each series. Data were fitted to the equations from A. Shaded areas surrounding the fit represent one SD.

mRNA stability cannot account for temperature-dependent Cirbp mRNA accumulation. (A) Mathematical model for mRNA accumulation of ATSS experiments after a rapid temperature shift, assuming temperature-independent synthesis of mature mRNA (transcription rate and splicing efficiency). The half-life of transcripts (T1/2) at a particular temperature is equal to the time needed to reach half of the new steady-state mRNA levels. (A,B) Steady-state mRNA concentrations at 33°C and 38°C, respectively. k = ln2/T1/2. (B) Schematic representation of the ATSS experiment. The cells were seeded and kept for 4 h at 37°C before the switch to 33°C or 38°C. After 16 h of incubation, the temperature was shifted within 10 min to 38°C or 33°C, respectively, and samples were taken at the indicated time points after the shift. (C) qPCR analysis of Cirbp mRNA expression after temperature downshift (left panel) and upshift (right panel). n = 4–11 time course series. Data were normalized to endogenous Ppib levels, which remain constant irrespective of temperature. Symbols represent fold changes between a particular time point and the t0 time point of each series. Data were fitted to the equations from A. Shaded areas surrounding the fit represent one SD. The cells were seeded at ∼90% confluence at 37°C and incubated for 16 h at either 33°C or 38°C in a homemade computer-programmable heating/cooling unit, allowing rapid temperature adjustments. The temperature within the system was then shifted within 10 min to 38°C or 33°C, respectively, and samples were taken at specific time points after the shift (Fig. 3B). The levels of Cirbp mRNA were subsequently analyzed by multiple methods based on different quantification principles, and the T1/2a and T1/2b values were deduced from the accumulation curves. Figure 3C illustrates the results of Cirbp mRNA (5′ untranslated region [UTR]) quantification by qPCR, which yielded average half-lives of ∼2 h for both temperatures. Quantification of Cirbp mRNA by RPA using the intron 6–exon 7 probe gave similar results (Supplemental Fig. S3A–C). The qPCR analysis showed a relatively high sample variation between data series collected over long time periods with different cell batches. Therefore, we analyzed two sample series—one with high and one with low deviations from the mean trajectory shown in Figure 3C—by Illumina HiSeq RNA-seq to scrutinize the validity of our conclusions. In contrast to qPCR and RPA, which measure only the relative abundances of amplicons and RNA regions complementary to antisense RNA probes, respectively, RNA-seq counts nucleotide segments along all introns and exons of a given transcript. As shown in Figure 4, A and C, the amount of Cirbp exonic reads gradually increased and decreased in cells suddenly shifted to a low or high temperature, respectively. In stark contrast, the amount of intronic reads remained very similar at the two temperatures. In comparison, both the number of exon reads and the number of intron reads in Midn, a gene located ∼9 kb upstream of Cirbp on chromosome 10, remained nearly equal at both temperatures (Fig. 4A,B).
Figure 4.

ATSS kinetics based on RNA-seq data. (A) University of California at Santa Cruz genome browser tracks of sequence reads (normalized read density) for Cirbp and Midn, a temperature-unresponsive gene located 9 kb upstream of Cirbp on chromosome 10. Pooled data from two replicate series (represented by and × symbols in downshift and * and × symbols in upshift experiments in Fig. 3C) are shown for each temperature shift. Gene structures are depicted below the tracks. (B,C) Quantification of Midn and Cirbp mRNA and pre-mRNA expression for the two biological replicate series/temperature shift. Black circles and green triangles represent the RNA read counts (expressed in RPKM [reads per kilobase per million mapped reads]) for mRNA and pre-mRNA, respectively. Data points indicated by the infinity symbol on the X-axis correspond to the expression at t0 from the opposite temperature shift and are thus assumed to reflect the opposite steady state. Solid black and green lines represent the model predictions for mRNA and pre-mRNA accumulation. The shaded areas indicate SDs (details are in the Supplemental Material). (D) Schematic representation of the model for temperature-mediated Cirbp regulation. The modeled processes include Cirbp pre-mRNA synthesis (k), pre-mRNA degradation (k), pre-mRNA splicing (ρ), and mRNA degradation (k) rates. In addition, the parameter α reflects the percentage of splicing-prone Cirbp pre-mRNA. The result of the fit indicates similar k, k, and ρ at 33°C and 38°C, while the k is threefold lower (90 vs. 270 min) at 33°C. Inversely, the splicing efficiency (SpE) appears to be 5.7 times higher (48% vs. 8.5%) at 33°C. The α, represented by the size of the green pie chart slices, increases from 18% at 38°C to 69% at 33°C. Together, this generates an 18-fold change in Cirbp mRNA and a 1.5-fold change in pre-mRNA levels at 33°C versus 38°C (Supplemental Table S1–S3). (E) CMV-Cirbp-cDNA-LMLucR reporter assay in transiently transfected cells exposed to simulated CBT cycles. Representative recordings of n ≥ 3 experiments. The baselines were subtracted in the depicted curves as in Figure 2. Note that the CMV-gCirbp-LMLucR and CMV-LMLucR reporter tracks in this figure and in Figure 2 look highly similar, manifesting the high reproducibility of the experimental system. Reporter construct schemes are depicted at the right, with Cirbp UTRs presented in white and protein-coding exons in light gray.

ATSS kinetics based on RNA-seq data. (A) University of California at Santa Cruz genome browser tracks of sequence reads (normalized read density) for Cirbp and Midn, a temperature-unresponsive gene located 9 kb upstream of Cirbp on chromosome 10. Pooled data from two replicate series (represented by and × symbols in downshift and * and × symbols in upshift experiments in Fig. 3C) are shown for each temperature shift. Gene structures are depicted below the tracks. (B,C) Quantification of Midn and Cirbp mRNA and pre-mRNA expression for the two biological replicate series/temperature shift. Black circles and green triangles represent the RNA read counts (expressed in RPKM [reads per kilobase per million mapped reads]) for mRNA and pre-mRNA, respectively. Data points indicated by the infinity symbol on the X-axis correspond to the expression at t0 from the opposite temperature shift and are thus assumed to reflect the opposite steady state. Solid black and green lines represent the model predictions for mRNA and pre-mRNA accumulation. The shaded areas indicate SDs (details are in the Supplemental Material). (D) Schematic representation of the model for temperature-mediated Cirbp regulation. The modeled processes include Cirbp pre-mRNA synthesis (k), pre-mRNA degradation (k), pre-mRNA splicing (ρ), and mRNA degradation (k) rates. In addition, the parameter α reflects the percentage of splicing-prone Cirbp pre-mRNA. The result of the fit indicates similar k, k, and ρ at 33°C and 38°C, while the k is threefold lower (90 vs. 270 min) at 33°C. Inversely, the splicing efficiency (SpE) appears to be 5.7 times higher (48% vs. 8.5%) at 33°C. The α, represented by the size of the green pie chart slices, increases from 18% at 38°C to 69% at 33°C. Together, this generates an 18-fold change in Cirbp mRNA and a 1.5-fold change in pre-mRNA levels at 33°C versus 38°C (Supplemental Table S1–S3). (E) CMV-Cirbp-cDNA-LMLucR reporter assay in transiently transfected cells exposed to simulated CBT cycles. Representative recordings of n ≥ 3 experiments. The baselines were subtracted in the depicted curves as in Figure 2. Note that the CMV-gCirbp-LMLucR and CMV-LMLucR reporter tracks in this figure and in Figure 2 look highly similar, manifesting the high reproducibility of the experimental system. Reporter construct schemes are depicted at the right, with Cirbp UTRs presented in white and protein-coding exons in light gray. The higher fold change in Cirbp mRNA levels detected by this method enabled us to discern the potential contribution and the extent of effects caused by different post-transcriptional processes that were not possible by the aforementioned approaches. The half-life of Cirbp mRNA in this experiment appeared to be approximately threefold longer at 33°C than at 38°C (270 min vs. 90 min). However, this could not account for the observed ∼18-fold change in the steady-state Cirbp mRNA levels determined by RNA-seq. Thus, we suspected that splicing efficiency, as defined by the fraction of pre-mRNA converted into mature mRNA, must have contributed to temperature-dependent Cirbp mRNA accumulation. To examine this hypothesis, we considered two mathematical models, taking into account different parameters that could possibly influence the mRNA output of a gene (Supplemental Fig. S3D,E; Supplemental Material). In the first model (Supplemental Fig. S3D), we assumed that cellular pre-mRNA and mRNA levels are determined by the rates of pre-mRNA synthesis (transcription rate k), pre-mRNA degradation (k), splicing (ρ), and mRNA degradation (k). While this model (named model 1 [kp.ks]) was able to fit the data, the obtained parameters were not biologically plausible; in particular, pre-mRNA half-lives were very short, and the splicing efficiency was close to zero (Supplemental Table S1). We thus hypothesized that an additional mechanism might be at play and introduced a term of pre-mRNA splicing “proneness” (α), which represents the fraction of pre-mRNAs available for productive splicing into mRNA (Supplemental Fig. S3E; Supplemental Material). This parameter could be influenced by RNA conformation (secondary and ternary structure) and/or RNA-binding proteins. By assessing the probability that a change in any of the selected parameters or a combination of them could result in Cirbp mRNA accumulation at 33°C versus 38°C, we identified the model that described the observed data in the most parsimonious way. This was accomplished by defining constant values for k, k, and ρ and leaving the k and α as free variables in the model 2 (kp.ks.rho) (Fig. 4D; Supplemental Tables S1–S3; Supplemental Material). We tested the obtained model (fitted on the RNA-seq data) on our PCR data measuring the expression of Cirbp pre-mRNA (intron 1 amplicon) at a higher time resolution after the temperature shift from different data series. These data were in excellent agreement with the model prediction (Supplemental Fig. S3F). Our model suggested that the change in Cirbp mRNA half-life could only partially account for the transcript up-regulation at low temperature. Indeed, the splicing efficiency (α × k/k) of Cirbp pre-mRNA was 5.7 times higher at 33°C than at 38°C. Specifically, the fractions of spliced pre-mRNAs were 48.1% and 8.5% at 33°C and 38°C, respectively. Hence, the splicing efficiency appeared to be the strongest determinant of Cirbp mRNA expression (Supplemental Table S3). In agreement with this prediction, the Cirbp-cDNA-LMLucR construct encoding the intron-less Cirbp cDNA showed lower sensitivity to temperature cycles in transient transfections than the full-length gCirbp-LMLucR gene (Fig. 4E). The extent of the oscillations varied somewhat between the cell batches and was more prominent in actively proliferating cells. To determine whether these oscillations in bioluminescence signal were reflecting mRNA levels at different temperatures, we generated stable cell lines using the 3T3 Flp-In system, which enables the site-specific insertion of a single-copy transgene, and quantified the amounts of exogenous transcripts after temperature shifts by qPCR. Our analysis suggested that the oscillations of the Cirbp-cDNA-LMLucR reporter might primarily be a result of the fusion protein characteristics (see above), as the mRNA levels of the transgene appeared similar at 33°C and 38°C (Supplemental Fig. S3G).

Efficient Cirbp pre-mRNA splicing is required for cold-induced Cirbp mRNA up-regulation

The requirement of introns for temperature-dependent Cirbp expression in our reporter assays (Fig. 4E) and the mathematical modeling described above suggested that temperature-mediated regulation of splicing efficiency mostly accounted for the cold-inducible Cirbp mRNA accumulation. Therefore, we decided to analyze the process of Cirbp pre-mRNA splicing in more detail. As Cirbp pre-mRNA levels remained nearly constant at different temperatures, we reasoned that the sum of pre-mRNA splicing and degradation rates (presented as the output of k and α in this case) also stayed invariable. Low temperatures would favor splicing, whereas high temperatures would promote degradation of Cirbp pre-mRNA transcripts while keeping their overall levels almost constant. To determine the fate of Cirbp pre-mRNA species, we inhibited global splicing by treating the cells with spliceostatin A (SSA) and analyzed the levels of the precursors at different temperatures. SSA has been shown to inhibit splicing by binding to the SF3b factor of the U2 splicing complex and to cause an up-regulation of a number of unspliced precursors (Kaida et al. 2007; Koga et al. 2014). As expected, adding SSA to NIH3T3 cells prevented the up-regulation of Cirbp mRNA transcripts at 33°C. However, SSA did not dramatically affect their levels at 38°C when compared with the PBS- or methanol-treated samples (Fig. 5A,B; data not shown), indicating a more important role of pre-mRNA splicing at lower temperatures. This was true for samples that were preincubated for 16 h at different temperatures prior to the SSA treatment and the temperature shift (Fig. 5A) as well as samples preincubated at 37°C to ensure equal uptake of the drug by the cells (Fig. 5B). In contrast to the other genes whose pre-mRNAs accumulated during SSA treatment (Kaida et al. 2007; Koga et al. 2014), Cirbp pre-mRNA levels decreased at the same rate at 33°C and 38°C (Fig. 5C). This could be explained by either increased degradation, as previously shown for a subset of genes in SSA-treated cells (Davidson et al. 2012), or attenuated transcription. However, in cells in which splicing was inhibited by depletion of U2 snRNP, Cirpb expression was reduced by a mechanism other than transcription elongation (data retrieved from Koga et al. 2014).
Figure 5.

Efficient Cirbp pre-mRNA splicing is required for cold-induced Cirbp mRNA up-regulation. (A) qPCR analysis of Cirbp mRNA expression in control and SSA-treated samples after temperature upshifts and downshifts. After an incubation period of 16 h at 33°C or 38°C, the drug was added, and the cells were shifted to the opposite temperatures for increasing time intervals. (B, left panel) Schematic representation of the experiment. Cells were incubated at 37°C, and SSA or PBS was added immediately before the temperature shift to 33°C or 38°C. Samples were collected after 6 h of incubation and analyzed by qPCR. (Right panel) qPCR analysis of Cirbp expression after the addition of 20 ng/mL SSA. n = 3 independent experiments. Data were normalized to endogenous Ppib levels and are presented as fold changes between a particular sample and the 38°C PBS sample of a series. (C) qPCR analysis of Cirbp pre-mRNA expression in control and SSA-treated samples after temperature downshift (left panels) and upshift (right panels). (D) qPCR analysis of Cirbp and Lgals1 transcripts in antisense phosphorodiamidate morpholino oligomer (AMO)-treated (Cirbp/Lgals1 AMO mix) and control (standard control oligo) samples 16 h after transfection/temperature shift. n = 2 series of three biological replicates. Data were normalized to endogenous Ppib levels and are presented as fold changes between a particular sample and a control 38°C sample of the same series. (*) P < 0.05, t-test assuming unequal variances. (A,C) n = 3 independent series. Data were normalized to endogenous Ppib levels and are presented as fold changes between a particular time point and the 0 time point of each series. The bars represent SDs.

Efficient Cirbp pre-mRNA splicing is required for cold-induced Cirbp mRNA up-regulation. (A) qPCR analysis of Cirbp mRNA expression in control and SSA-treated samples after temperature upshifts and downshifts. After an incubation period of 16 h at 33°C or 38°C, the drug was added, and the cells were shifted to the opposite temperatures for increasing time intervals. (B, left panel) Schematic representation of the experiment. Cells were incubated at 37°C, and SSA or PBS was added immediately before the temperature shift to 33°C or 38°C. Samples were collected after 6 h of incubation and analyzed by qPCR. (Right panel) qPCR analysis of Cirbp expression after the addition of 20 ng/mL SSA. n = 3 independent experiments. Data were normalized to endogenous Ppib levels and are presented as fold changes between a particular sample and the 38°C PBS sample of a series. (C) qPCR analysis of Cirbp pre-mRNA expression in control and SSA-treated samples after temperature downshift (left panels) and upshift (right panels). (D) qPCR analysis of Cirbp and Lgals1 transcripts in antisense phosphorodiamidate morpholino oligomer (AMO)-treated (Cirbp/Lgals1 AMO mix) and control (standard control oligo) samples 16 h after transfection/temperature shift. n = 2 series of three biological replicates. Data were normalized to endogenous Ppib levels and are presented as fold changes between a particular sample and a control 38°C sample of the same series. (*) P < 0.05, t-test assuming unequal variances. (A,C) n = 3 independent series. Data were normalized to endogenous Ppib levels and are presented as fold changes between a particular time point and the 0 time point of each series. The bars represent SDs. Since SSA functions as a general splicing inhibitor and since its influence on Cirbp expression might have been a result of secondary effects, we decided to specifically block splicing of Cirbp transcripts by using an antisense phosphorodiamidate morpholino oligomer (AMO) targeting the intron 1–exon 2 boundary of the pre-mRNA. As shown in Figure 5D, AMO treatment increased the levels of intron 1-containing Cirbp precursors at both temperatures compared with control samples, whereas the amount of intron 6-containing Cirbp transcripts remained unaltered. This suggested that the AMO acted sequence-specifically on the splicing of the first intron (Fig. 5D). Again, the inhibition of splicing affected the levels of mature Cirbp mRNA only at 33°C, whereas the mRNA levels at 38°C remained unaltered compared with the standard control AMO transfected cells. The temperature-mediated effect was specific for Cirbp, as another AMO targeting the pre-mRNA of Lgals1, a gene whose expression does not significantly change within the range of examined temperatures, did not show such a pattern. Importantly, AMO treatment caused a higher increase of Cirbp pre-mRNA at 33°C than at 38°C, whereas the Lgals1 pre-mRNA targeting AMO provoked similar rises of Lgals1 pre-mRNA at both temperatures (Fig. 5D). An additional Cirbp AMO targeting the intron 4–exon 5 boundary showed a similar effect on Cirpb pre-mRNA transcript levels (Supplemental Fig. S4A). The total amount of Cirbp mRNA in this case did not change due to alternative splicing caused by the AMO (Supplemental Fig. S4A). These data supported the conclusion based on the above-described ATSS experiments that Cirbp pre-mRNA splicing is more efficient at reduced temperatures. Given that transcription rates and pre-mRNA steady-state concentrations were nearly temperature-insensitive, the sum of splicing-prone and degradation-prone Cirbp pre-mRNAs must have been similar at the examined temperatures. What appeared to change at 33°C and 38°C were the fractions of splicing-prone and degradation-prone pre-mRNAs. The predicted noncanonical splicing sites and functional RNA elements within the first Cirbp intron (Supplemental Table S4) could have played a role in this process. Since intronic sequences have been implicated in the mechanisms targeting pre-mRNA for degradation (Kilchert et al. 2015), we attempted to identify the potential degradation pathways involved in the temperature-mediated Cirbp pre-mRNA regulation by knocking down putative factors of the cytoplasmic (Xrn1) and nuclear (Xrn2 and Dom3z) 5′ → 3′ quality control mechanisms. However, the down-regulation of these factors did not have any major effects on Cirbp mRNA expression (Supplemental Fig. S4B–F). In contrast, the knockdown of Exosc9 and Exosc10, representing the core and nuclear catalytic components of the exosome, a 3′ → 5′ RNA degradation complex (for review, see Eberle and Visa 2014), showed a moderate up-regulation of Cirbp pre-mRNA accumulation irrespective of temperature (Supplemental Fig. S4D,E)

A splicing-dependent regulatory element in Cirbp intron 1 mediates temperature-responsive Cirbp expression

Since the luciferase reporter construct bearing the full-length Cirbp gene showed temperature-responsive expression (Fig. 2C), we set out to narrow down the putative temperature-sensing element. To this end, we generated a series of deletion constructs fused to the luciferase gene and tested their ability to respond to simulated CBT cycles. As shown in Figure 6, 337 bp of the truncated Cirbp intron 1 (Δ315–1870) were sufficient to confer temperature sensitivity to the luciferase reporter, whether situated in the native Cirbp exon 1–exon 2 5′ UTR-encoding position (Fig. 6A,B, construct 4), between different exons of the same gene, or between exons of the temperature-irresponsive control gene Coasy (Fig. 6C, construct 6). Placing the Cirbp intron sequence after the luciferase gene did not induce the same effect, suggesting the requirement of splicing in the temperature-responsive process. This characteristic was specific for Cirbp intron 1, as other Cirbp introns (Fig. 6C, constructs 10–14) and the Coasy intron 1 (Fig. 6C, construct 15) did not confer temperature sensitivity to reporter genes (Fig. 6A,D). The most important region within the 337 bp of the truncated Cirbp intron 1 probably lies at the 3′ end, comprising the predicted branch point sites, as another Cirbp construct with a deletion in the 5′ region of intron 1 still showed some temperature responsiveness (Supplemental Fig. S5A, construct B).
Figure 6.

A cis-acting element in Cirbp intron 1 contributes to temperature-mediated Cirbp expression. (A) Schematic representation of Cirbp-luciferase reporter constructs with (+) or without (−) temperature-dependent expression. White bars illustrate UTR regions. Bioluminescence tracks of gCirbp-LMLucR (1) and Cirbp5′UTR-Int1DelB-LMLucR (4) constructs (B), Coasy5′UTR-LMLucR (9) and Coasy5′UTR-CirbpInt1DelB-LMLucR (6) constructs (C), and Coasy5′UTR-Cirbp(Int1DelB-Int6)-LMLucR (6, 10–14) constructs (D). The recordings of the control LMLucR reporter shown in B and C and the tracks of construct 6 in C and D were part of the same experiment. n ≥ 3 replicates for each track. Data were normalized to baseline curves.

A cis-acting element in Cirbp intron 1 contributes to temperature-mediated Cirbp expression. (A) Schematic representation of Cirbp-luciferase reporter constructs with (+) or without (−) temperature-dependent expression. White bars illustrate UTR regions. Bioluminescence tracks of gCirbp-LMLucR (1) and Cirbp5′UTR-Int1DelB-LMLucR (4) constructs (B), Coasy5′UTR-LMLucR (9) and Coasy5′UTR-CirbpInt1DelB-LMLucR (6) constructs (C), and Coasy5′UTR-Cirbp(Int1DelB-Int6)-LMLucR (6, 10–14) constructs (D). The recordings of the control LMLucR reporter shown in B and C and the tracks of construct 6 in C and D were part of the same experiment. n ≥ 3 replicates for each track. Data were normalized to baseline curves. Although Cirbp intron 1 was sufficient to confer temperature sensitivity to a reporter gene, full-length constructs without the Cirbp intron 1 showed temperature oscillations depending on the proliferation and the transformation state of the NIH3T3 cells (Supplemental Fig. S5A, constructs C and D)—similar to the aforementioned Cirbp-cDNA-LMLucR construct—and are likely a consequence of the fusion protein characteristics. Interestingly, placing the Cirbp gene at the 3′ terminus of the luciferase reporter abolishes temperature sensitivity of the construct (Supplemental Fig. S5B, construct E). This might be due to a changed structure of the transcript or a different splicing enhancer/suppressor environment that favors the use of another splice donor site within the luciferase gene to be spliced with the Cirbp exon 2 acceptor site in a fraction of transcripts (Supplemental Fig. S5C).

Genome-wide analysis reveals a predominant role of temperature in regulating pre-mRNA splicing efficiency and mRNA stability

We wished to examine whether the regulatory mechanisms described above were specific for Cirbp or played a more general role in the control of temperature-dependent gene expression. To this end, we performed a genome-wide analysis of our ATSS RNA-seq data set described in Figure 4. Out of 24,756 detected genes, we identified 201 thermoregulated genes—63 induced by cold and 138 induced by heat (Fig. 7A; Supplemental Fig. S6A; Supplemental Table S5; Supplemental Material). Gene ontology analysis revealed that these genes belong to different functional categories, as shown in Supplemental Table S6. If these genes were temperature-regulated in vivo, their transcripts would be expected to accumulate diurnally in mouse livers. Figure 7B shows that the mRNA accumulation of a significant number of cold-inducible and heat-inducible genes (P = 1.9 × 10–7 and P = 0.014, respectively, hypergeometric test) exhibited a robust oscillation (P < 0.05, harmonic regression, F-test), with peak values occurring during the day (low CBT) for the cold-inducible genes and during the night (high CBT) for the heat-inducible genes.
Figure 7.

Genome-wide transcript analysis reveals a predominant role of splicing efficiency and mRNA stability in the temperature-dependent accumulation of mRNAs. (A) Heat maps of 63 cold-inducible (left panel) and 138 heat-inducible (right panel) genes detected in ATSS RNA-seq analysis after temperature downshifts and upshifts. Color indicates log2 fold changes (FC) with respect to the maximum mRNA expression for each gene over all time points. Genes are ordered according to their maximum fold changes. Black bars mark genes with transient temperature responses, as opposed to genes whose transcripts reach a new steady state after the temperature shift (gray) (details are in the Supplemental Material). (B) Polar plot showing phases and fold changes of expression (calculated by the peak to trough) for cold-inducible (blue circles) and heat-inducible (red circles) genes that exhibited circadian expression patterns in mouse livers. P < 0.05, harmonic regression; data retrieved from Atger et al. (2015). The red–blue gradient circle represents mouse CBT values around the clock, with red and blue symbolizing high and low temperatures, respectively. (C) Temporal abundance profiles for mRNAs and pre-mRNAs for 32 cold-inducible and 99 heat-inducible intron-containing genes from A that reached a new steady state. Fold changes for mRNAs and pre-mRNAs were calculated with respect to the maximum expression levels of mRNAs and pre-mRNAs. (D) The charts depict the fraction of genes in the cold-inducible (blue) and heat-inducible (red) groups showing evidence of temperature dependence for any of the parameters (probability >0.5) (Supplemental Material). (E) Cumulative distribution of mRNA accumulation in cells in which Cirbp expression was depleted by siRNA knockdown (KD). The X-axis indicates log2 fold changes between Cirbp knockdown and wild type (Morf et al. 2012). The gray line corresponds to all genes. Cirbp depletion affects cold-inducible (blue) and heat-inducible (red) genes differently. P = 0.0034, Mann-Whitney-Wilcoxon test. Upon Cirbp knockdown, heat-inducible genes show a reduction in their mRNA accumulation, whereas cold-inducible genes remain unaffected. P = 4.5 × 10−7 and P = 0.78, respectively, t-test.

Genome-wide transcript analysis reveals a predominant role of splicing efficiency and mRNA stability in the temperature-dependent accumulation of mRNAs. (A) Heat maps of 63 cold-inducible (left panel) and 138 heat-inducible (right panel) genes detected in ATSS RNA-seq analysis after temperature downshifts and upshifts. Color indicates log2 fold changes (FC) with respect to the maximum mRNA expression for each gene over all time points. Genes are ordered according to their maximum fold changes. Black bars mark genes with transient temperature responses, as opposed to genes whose transcripts reach a new steady state after the temperature shift (gray) (details are in the Supplemental Material). (B) Polar plot showing phases and fold changes of expression (calculated by the peak to trough) for cold-inducible (blue circles) and heat-inducible (red circles) genes that exhibited circadian expression patterns in mouse livers. P < 0.05, harmonic regression; data retrieved from Atger et al. (2015). The red–blue gradient circle represents mouse CBT values around the clock, with red and blue symbolizing high and low temperatures, respectively. (C) Temporal abundance profiles for mRNAs and pre-mRNAs for 32 cold-inducible and 99 heat-inducible intron-containing genes from A that reached a new steady state. Fold changes for mRNAs and pre-mRNAs were calculated with respect to the maximum expression levels of mRNAs and pre-mRNAs. (D) The charts depict the fraction of genes in the cold-inducible (blue) and heat-inducible (red) groups showing evidence of temperature dependence for any of the parameters (probability >0.5) (Supplemental Material). (E) Cumulative distribution of mRNA accumulation in cells in which Cirbp expression was depleted by siRNA knockdown (KD). The X-axis indicates log2 fold changes between Cirbp knockdown and wild type (Morf et al. 2012). The gray line corresponds to all genes. Cirbp depletion affects cold-inducible (blue) and heat-inducible (red) genes differently. P = 0.0034, Mann-Whitney-Wilcoxon test. Upon Cirbp knockdown, heat-inducible genes show a reduction in their mRNA accumulation, whereas cold-inducible genes remain unaffected. P = 4.5 × 10−7 and P = 0.78, respectively, t-test. We applied the mathematical model described in Figure 4D to determine the most probable temperature-dependent regulation mechanisms for those cold-inducible and heat-inducible genes whose transcripts reached a new steady-state concentration after the temperature shift (32 cold-inducible and 99 heat-inducible genes) (Fig. 7C; Supplemental Figure S6B; Supplemental Table S5). The genes whose pre-mRNA levels were transiently induced (Supplemental Fig. S6C; Supplemental Table S5) were excluded from the analysis, as the underpinning mechanisms could not be deduced from the ATSS model. Taking into account the mRNA and pre-mRNA expression patterns of the genes reaching a new steady-state concentration, we were able to estimate the probability of the temperature influence on a particular RNA synthesis or processing parameter for each gene (Supplemental Material). As shown in Figure 7D, α (defining the splicing “proneness” of the pre-mRNA population) and k (determining the stability of mature mRNAs) were the parameters most frequently affected by temperature for these groups of genes. Hence, for a subclass of temperature-dependent genes, post-transcriptional regulatory mechanisms appeared to play a prevalent role. Since Cirbp was the cold-inducible gene with the highest change in expression in our ATSS analysis, we asked whether its presence was required for the general temperature-mediated response in cells. To address this question, we examined whether the heat-inducible and cold-inducible candidates were enriched with previously published CIRBP-bound RNAs (Morf et al. 2012). As shown in Supplemental Table S7, the cold-inducible genes were enriched with CIRBP targets, especially those bound by CIRBP in their 3′ UTRs (P = 0.0014, hypergeometric test). For cold-inducible CIRBP-bound transcripts, k was the most frequently affected parameter regulating temperature-dependent mRNA accumulation, whereas for the heat-inducible CIRBP-bound transcripts, α and k played similarly important roles in this process (Supplemental Table S5). Surprisingly, 21.7% of pre-mRNAs in the heat-inducible group were found to be bound by CIRBP, in contrast to only 9.5% of the cold-inducible pre-mRNAs (P = 1.105 × 10−7 and P = 0.2409, respectively, hypergeometric test). In accordance with these observations, the knockdown of Cirbp at 33°C (Morf et al. 2012) resulted in a significant decrease in heat-inducible gene expression (Fig. 7E). However, the transcript levels of cold-inducible CIRBP targets were not affected by its absence. Hence, the role of CIRBP, if any, for cold-inducible mRNAs is not related to their accumulation at low temperature but perhaps to their subcellular distribution or translatability. Taken together, these data imply a protective/regulatory role of CIRBP for heat-inducible transcripts at lower temperatures.

Discussion

The effect of temperature on mammalian gene expression has thus far been studied mainly in the context of so-called cold-shock and heat-shock responses, which are reactions to conditions posing a threat for cellular function and integrity (for review, see Fujita 1999; Miozzo et al. 2015). In this study, we determined gene-specific and genome-wide changes in transcript expression caused by temperature values within the physiological range (33°C < T < 39°C). Our studies revealed a novel temperature-dependent post-transcriptional regulation mechanism governing the expression of CIRBP, a cold-inducible RNA-binding protein involved in the modulation of circadian gene expression. In addition, our data suggested the existence of general body temperature-mediated gene regulation pathways that depend in part on the activity of the CIRBP protein. Temperature-controlled alternative splicing has been implicated previously in the regulation of gene expression in various organisms (Cizdziel et al. 1988; Diernfellner et al. 2007; Cao and Edery 2015). However, to the best of our knowledge, the impact of temperature on splicing efficiency, as defined in this study, has not yet been reported. Here, we present a novel, temperature-dependent post-transcriptional mechanism that modulates gene output by determining the fraction of pre-mRNA processed into mature functional mRNA. In contrast to the well-studied process of alternative splicing, the mechanism that we describe governs temperature-dependent accumulation of one and the same mRNA species. The “splice or die” fate of the Cirbp precursors might be determined by temperature-sensitive RNA secondary structures influencing splice site recognition and spliceosome binding, as described for some viruses (Abbink and Berkhout 2008). This hypothesis is supported by the predicted existence of noncanonical donor and acceptor splice sites and functional RNA structures in Cirbp intron 1 as well as the ability of the same intron to convey temperature sensitivity to an otherwise CBT-irresponsive gene. Increased levels of Cirbp mRNA and protein upon mild cold exposure have been attributed previously to transcriptional control mechanisms (Sumitomo et al. 2012). However, our present study—showing similar RNA polymerase II occupancy at the Cirbp gene and comparable pre-mRNA levels in NIH3T3 cells at different temperatures—excludes the control of primary transcript synthesis as the major regulatory mechanism. In keeping with this conclusion, a recent study analyzing genome-wide RNA polymerase II occupancy in mouse livers collected at different time points around the clock revealed a similar density of RNA polymerase II molecules on Cirbp throughout the day (Le Martelot et al. 2012). However, Cirbp mRNA and protein accumulation follows a robust diurnal cycle whose phase is nearly anti-phasic to that of the CBT oscillation. Moreover, replacing the Cirbp promoter with the CMV promoter did not abolish temperature-sensitive Cirbp expression. However, there remains the possibility of a structure/splicing-affecting factor being handed off to an intronic sequence during transcription, which could subsequently affect the downstream processing of the transcript. Cis-acting Cirbp promoter elements binding the transcription factor Sp1 have been proposed previously to participate in cold-inducible Cirbp transcription (Sumitomo et al. 2012). However, in our hands, the depletion of endogenous Sp1 by RNAi to <35% of its original concentration had no effect on the temperature-dependent Cirbp mRNA accumulation (data not shown). Different temperature-specific Cirbp mRNA isoforms arising through the use of alternative TSSs have been reported in a previous study (Al-Fageeh and Smales 2009). By using a variety of methods including 5′-RACE, Northern blot experiments, and deep sequencing of RNA harvested from cells incubated at different temperatures, we detected only one major Cirbp mRNA species initiating at the sequence ACTCGCGCCTTAGG irrespective of the incubation temperature. This transcript corresponds to the one initially reported by Nishiyama et al. (1997). Post-transcriptional regulatory mechanisms can act on both the accumulation and function of mRNAs. Often, they involve cis-acting RNA elements that modulate translation efficiency or transcript stability (for review, see Adjibade and Mazroui 2014). The diminished temperature sensitivity of the Cirbp cDNA reporter construct, which encompasses the entire sequence of mature Cirbp mRNA, supports our conclusion that temperature-dependent mRNA instability was unlikely to be the sole parameter accounting for cold-inducible Cirbp expression. The 3′ UTR of Cirbp mRNA does contain a predicted AU-rich element known to destabilize many mRNAs. Indeed, the half-life of Cirbp RNA is rather short, and the AU-rich element may contribute to the destabilization of this transcript irrespective of temperature. In accordance, a general increase of Cirbp mRNA in Dicer-deficient mice rules out a temperature-specific miRNA-dependent regulatory mechanism (data provided by Du et al. 2014). The treatment of cells with the general splicing inhibitor SSA provided additional support against a major effect of temperature on Cirbp mRNA stability. Namely, the levels of Cirbp mRNA were similar at both temperatures even after a 6-h treatment of the cells with SSA. If the half-life of Cirbp mRNA was markedly longer at 33°C, the level of transcripts would have been expected to decrease more slowly at 33°C than at 38°C. The absence of detectable effects on Cirbp mRNA levels at 38°C in SSA-treated cells might be due to the intrinsically low level of splicing at that temperature (in accordance with splicing efficiency of 8.5%), some of which still persisted at the SSA concentration that we used. This and other studies underscore the large impact that relatively mild temperature changes can exert on different aspects of splicing. As mentioned above, various reports have demonstrated that temperature can affect splice site selection, resulting in the modulation of alternative splicing. Furthermore, a recent study showed that Sfrs10 (SRp38), a splicing repressor, attenuates the splicing of a large number of transcripts in human cells exposed to heat shock (Shalgi et al. 2014). By recording ATSS kinetics for both mature mRNAs and pre-mRNAs, we could identify splicing efficiency as an important parameter in the temperature-dependent regulation of Cirbp mRNA. Finally, the simple mathematical modeling that we applied to the transcriptome-wide ATSS analysis revealed that moderate differences in temperature may have a large effect on the splicing efficiency and stability of many temperature-sensitive transcripts.

Materials and methods

Cell culture, siRNA, and morpholino transfections

NIH3T3 cells were cultured under standard conditions. Stable cell lines expressing Cirbp reporter constructs were generated using the 3T3 Flp-In/pCDNA5/FRT system (Invitrogen) according to the manufacturer's instructions. For the SSA treatment, the medium was supplemented with 20 ng/mL SSA (a generous gift from Minoru Yoshida, RIKEN, Institute of Physical and Chemical Research, Saitama, Japan), and the cells were incubated for a maximum of 6 h. The AMOs targeting the Cirbp intron 1–exon 2 border (1956–1972), the Cirbp intron 4–exon 5 border (2565–2592), and the Lgals intron 1–exon 2 border (1225–1250) were purchased from Gene Tools together with the standard control oligo. The constructs were delivered into cells by electroporation using Amaxa Cell Line Nucleofector kit R and the Nucleofector device (Lonza) as recommended by the manufacturer. Cells were transfected with 50 µM oligo mix (25 µM Cirbp + 25 µM Lgals1) or standard control oligo per 3 × 106 cells and were switched directly to different temperatures after transfection for 18 h. Transient gene-specific knockdown experiments were done by transfection of ON-TARGETplus SMART pool siRNAs (Dharmacon) using Lipofectamine RNAiMAX from Invitrogen according to manufacturer's instructions. siRNAs targeting mRNAs specified by the following mouse genes were used: Xrn1, Xrn2, Dom3z, Exosc9, Exosc10, Fus, and Nono. The cells were allowed to settle for 4 h at 37°C after transfection and then were shifted for 72 h to different temperatures before RNA isolation. RBPDB (the database of RNA-binding protein specificities, version 1.3 release; http://rbpdb.ccbr.utoronto.ca) was used for scanning the Cirbp sequence for potential RBP-binding sites. The search for splice sites and cis-acting elements was performed on the RegRNA 2.0 (Chang et al. 2013) and the ASSP (Wang and Marin 2006) Web servers. Gene ontology analysis was performed using DAVID Bioinformatics resources 6.8 analysis Web server (https://david-d.ncifcrf.gov). RNA isolation and quantification, ChIP, and bioluminescence reporter assays were performed according to standard methods described in detail in the Supplemental Material.

RNA-seq and data analysis

DNase I-treated total RNA samples were ribo-depleted using the Ribo-Zero Gold rRNA removal kit (Illumina). Paired-end, strand-specific cDNA libraries of 50-bp inserts were prepared according to an in-house protocol of the iGE3 genomics platform and sequenced using the Illumina HiSeq2500 platform. Detailed information on data analysis and mathematical modeling is in the Supplemental Material. Data have been deposited to the Gene Expression Omnibus repository under accession number GSE85553.
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