A detailed protocol for applying the click chemistry-assisted RNA-interactome capture (CARIC) strategy to identify proteins binding to both coding and noncoding RNAs is presented.
A comprehensive identification of RNA-binding proteins (RBPs) is key to understanding the posttranscriptional regulatory network in cells. A widely used strategy for RBP capture exploits the polyadenylation [poly(A)] of target RNAs, which mostly occurs on eukaryotic mature mRNAs, leaving most binding proteins of non-poly(A) RNAs unidentified. Here we describe the detailed procedures of a recently reported method termed click chemistry-assisted RNA-interactome capture (CARIC), which enables the transcriptome-wide capture of both poly(A) and non-poly(A) RBPs by combining the metabolic labeling of RNAs, in vivo UV cross-linking, and bioorthogonal tagging.
The human genome is transcribed into various types of coding and noncoding RNAs (ncRNAs), including mRNAs, rRNAs, tRNAs, small nuclear RNAs (snRNAs), small nucleolar RNAs (snoRNAs), and long non-coding RNAs (lncRNAs)1. Most of these RNAs possess clothing of RBPs and function as ribonucleoprotein particles (RNPs)2. Therefore, a comprehensive identification of RBPs is a prerequisite for understanding the regulatory network between RNAs and RBPs, which is implicated in various human diseases3,4,5.
The past few years have witnessed a great boost of RBPs discovered in various eukaryotic systems2,6, including human7,8,9,10,11, mouse12,13,14, yeast9,15,16, zebrafish17, Drosophila melanogaster18,19, Caenorhabditis elegans16, Arabidopsis thaliana20,21,22, and human parasites23,24,25. These advances have been facilitated by an RBP capture strategy developed by Castello et al.7 and Baltz et al.8 in 2012, which combines in vivo UV cross-linking of RNA and its interacting proteins, oligo(dT) capture of poly(A) RNAs, and mass spectrometry (MS)-based proteomic profiling. However, given the fact that poly(A) mostly exists on mature mRNAs, which account for only ~3% – 5% of the eukaryotic transcriptome26, this widely used strategy is not capable of capturing RBPs interacting with non-poly(A) RNAs, including most ncRNAs and pre-mRNAs.
Here, we report the detailed procedures of a recently developed strategy for the transcriptome-wide capture of both poly(A) and non-poly(A) RBPs27. Termed CARIC, this strategy combines in vivo UV cross-linking and metabolic labeling of RNAs with photoactivatable and "clickable" nucleoside analogs (which contain a bioorthogonal functional group that can participate in click reaction), 4-thiouridine (4SU), and 5-ethynyluridine (EU). Steps that are key to get ideal results with the CARIC strategy are efficient metabolic labeling, UV cross-linking and click reaction, and the maintenance of RNA integrity. Because Cu(I) used as the catalyst in click reaction can cause the fragmentation of RNAs, a Cu(I) ligand that can reduce RNA fragmentation is essential. We describe how to perform efficient click reactions in cell lysates without causing severe RNA degradation.
Although RBP capture and identification in HeLa cells only is described in this protocol, the CARIC strategy can be applied to various cell types and possibly to living organisms. Besides RBP capture, this protocol also provides streamlined step-by-step procedures for MS sample preparation and protein identification and quantification, which can be helpful for those who are not familiar with proteomic experiments.
CAUTION: When applicable, the reagents used should be purchased in the form of RNase-free, or dissolved in RNase-free, solvents (for most cases, in diethyl pyrocarbonate (DEPC)-treated water). When handling RNA samples and RNase-free reagents, always wear gloves and masks, and change them frequently to avoid RNase contamination.
1. Preparation of Lysate of Metabolically Labeled and UV Cross-linked Cells
2. Preparation of Samples for RNA-interactome Capture
3. RNA-interactome Capture
4. Quality Control
5. Preparation of the Samples for MS
6. Performance of the MS and Data Analysis
The representative results of quality control steps are presented. The results include figures of the in-gel fluorescence analysis described in step 2.3.2 (Figure 1), the western blot analysis described in step 4.1.3 (Figure 2A), and the silver-staining analysis described in step 4.2.2 (Figure 2B). The quality control steps are critical for the optimization of CARIC protocols. Always include quality controls in the preparation of large-scale RBP identification experiments.
Figure 1: In-gel fluorescence analysis of the click-labeled samples described in step 2.3.2. (A) This panel shows a typical in-gel fluorescence pattern of click-labeled samples. Only the doubly labeled sample shows a strong smear band at a high molecular weight (> 250 kDa), which represents the signal of cross-linked RNPs. To abolish the RNP signal, omit either 4SU or EU or digest with RNase A. The background sharp bands at a lower molecular weight represent the signals of non-specific labeled proteins. (B) In some occasions, a strong smeared band (~130 – 250 kDa) can be observed in the no4SU-control sample. This band represents the signal of labeled uncross-linked RNAs, which will be degraded during the heat denaturation, for most cases. It will not interfere with the subsequent procedures. CBB = Coomassie brilliant blue. Please click here to view a larger version of this figure.
Figure 2: Quality control of affinity pulldown efficiency and the captured RBPs. (A) This panel shows a western blot analysis of the biotin signals in samples before pulldown (input) and in samples after pulldown (supernatant). Estimate the ratio of the remaining signals and optimize the bead amount used in step 3.1.1. (B) This panel shows a silver-staining analysis of captured RBPs compared to 0.1% input total proteins. For HeLa cells, the general total capture efficiency is ~0.05% – 0.1% of input proteins. This value can vary significantly due to the variance of the metabolic labeling efficiency of different cell types. Please click here to view a larger version of this figure.
Figure 3: Representative MS results of CARIC. (A) This panel shows a volcano plot displaying the averaged Log2-fold change and adjusted P values of quantified proteins, calculated by the limma package. 597 of proteins with a Log2-fold change of > 2 and an adjusted P value of < 0.01 were classified as "CARIC RBPs". (B) This panel shows the overlap of the CARIC proteins with previously identified human poly(A) RBPs7,8,9,10,11. The overlapped proteins are mostly coding RBPs, while the rest of the CARIC RBPs are more likely to be non-coding RBPs. This figure is a reprinted from previously published work with permission from the National Academy of Sciences27. Please click here to view a larger version of this figure.
The maintenance of fair RNA integrity is one of the keys to successful CARIC experiments. With appropriate ligands of Cu(I) and careful operation, RNA degradation can be significantly reduced, although partial degradation was observed. The substitution ratios of EU and 4SU in experimental samples are 1.18% and 0.46%, respectively (data not shown). For intact RNAs with a length of 2,000 nt, ~90% of RNAs contain at least one EU and one 4SU. For partially degraded RNAs with a length of 1,000 nt, ~70% of RNAs contain at least one EU and one 4SU. Therefore, partial degradation of RNAs does not dramatically decrease the efficiency of CARIC, while severe degradation is not acceptable.
Another critical step is step 1.4, the preparation for the click reaction. The Cu(I)-catalyzed click reaction on RNAs is sensitive to LDS concentration. A high concentration (> 0.1%) of LDS will lead to a decrease of labeling signals on EU-containing RNAs and an increase of background signals on proteins (data not shown).
In addition to EU, CARIC is also compatible with other clickable nucleosides, such as alkynyl and azido analogs of adenosine33,34,35,36. However, the application of CARIC is significantly limited by the metabolic efficiency of unnatural clickable nucleosides in a biological system of interest. Therefore, before performing CARIC using conditions other than those demonstrated in this protocol, always check the metabolic labeling efficiency (e.g., by fluorescent imaging).
Recently, a similar strategy called RICK (capture of the newly transcribed RNA interactome using click chemistry), which incorporates only EU to label total RNAs and uses 254-nm UV to cross-link RNAs and proteins, was reported37. Notably, 254-nm UV can activate all four natural nucleosides, as well as EU. Thus, 254-nm UV irradiation may cross-link free EU and its metabolites (e.g., EU phosphates) with corresponding binding proteins, which should be taken into consideration as possible false positives.
One intriguing application of CARIC is to identify RBPs in bacteria whose RNAs are mostly non-polyadenylated. The large-scale identification of RBPs will provide invaluable resources to understand the molecular basis of posttranscriptional regulations in bacteria38.
The authors have nothing to disclose.
This work is supported by the National Natural Science Foundation of China Grants 91753206, 21425204, and 21521003 and by the National Key Research and Development Project 2016YFA0501500.
HeLa | ATCC | ||
DMEM (Dulbecco's Modified Eagle Medium) | Thermo Fisher Scientific | 11995065 | |
FBS (Fetal Bovine Serum) | Thermo Fisher Scientific | 10099141 | |
Penicillin & Streptomycin | Thermo Fisher Scientific | 15140122 | |
EU (5-ethynyl uridine) | Wuhu Huaren Co. | CAS:69075-42-9 | |
4SU (4-thiouridine) | Sigma Aldrich | T4509 | |
10×PBS (Phosphate-Buffered Saline) | Thermo Fisher Scientific | AM9625 | |
UV cross-linker | UVP | CL-1000 | Equiped with 365-nm UV lamp |
DEPC (Diethyl pyrocarbonate) | Sigma Aldrich | D5758 | To treat water. Highly toxic! |
Tris·HCl, pH 7.5 | Thermo Fisher Scientific | 15567027 | |
LiCl | Sigma Aldrich | 62476 | |
Nonidet P-40 | Biodee | 74385 | |
EDTA-free protease inhibitor cocktail | Thermo Fisher Scientific | 88265 | One tablet for 50 mL lysis buffer. |
LDS (Lithium dodecyl sulfate) | Sigma Aldrich | L9781 | |
15-mL ultrafiltration tube (10 kDa cutoff) | Millipore | UFC901024 | |
0.5-mL ultrafiltration tube (10 kDa cutoff) | Millipore | UFC501096 | |
Streptavidin magnetic beads | Thermo Fisher Scientific | 88816 | |
DMSO (Dimethyl sulfoxide) | Sigma Aldrich | 41639 | |
Azide-biotin | Click Chemistry Tools | AZ104 | |
Copper(II) sulfate | Sigma Aldrich | C1297 | |
THPTA [Tris(3-hydroxypropyltriazolylmethyl)amine] | Sigma Aldrich | 762342 | |
Sodium ascorbate | Sigma Aldrich | 11140 | |
Azide-Cy5 | Click Chemistry Tools | AZ118 | |
LDS sample buffer (4×) | Thermo Fisher Scientific | NP0008 | |
10% bis-Tris gel | Thermo Fisher Scientific | NP0301BOX | |
EDTA | Thermo Fisher Scientific | AM9260G | |
RNase A | Sigma Aldrich | R6513 | |
SDS (Sodium dodecyl sulfate) | Thermo Fisher Scientific | 15525017 | |
NaCl | Sigma Aldrich | S3014 | |
Brij-97 [Polyoxyethylene (20) oleyl ether] | J&K | 315442 | |
Triethanolamine | Sigma Aldrich | V900257 | |
Streptavidin agarose | Thermo Fisher Scientific | 20353 | |
Urea | Sigma Aldrich | U5378 | |
Sarkosyl (N-Lauroylsarcosine sodium salt) | Sigma Aldrich | 61743 | |
Biotin | Sigma Aldrich | B4501 | |
Sodium deoxycholate | Sigma Aldrich | 30970 | |
MaxQuant | Version: 1.5.5.1 |