Before you start
- You've done RNA structure, and you're comfortable with the NGS workflow (alignment, peaks) from Track 2.
- This is a methods-and-analysis lesson. Knowing how ChIP-seq works helps, since CLIP is its RNA cousin.
- Any term new? The Glossary has it.
Learning objectives
By the end of this lesson you will be able to: explain what question CLIP-seq answers about RNA-protein binding, describe why UV crosslinking is the central trick, distinguish HITS-CLIP, PAR-CLIP, iCLIP, and eCLIP, and follow the path from reads to called binding sites.
The question CLIP answers
An RNA-binding protein (RBP) recognizes specific RNAs and acts on them. CLIP-seq, short for cross-linking and immunoprecipitation followed by sequencing, answers: for a given RBP, which RNA positions does it physically bind, across the entire transcriptome? The output is a map of binding sites (peaks), which you then turn into a binding motif and a list of regulated transcripts.
Why crosslinking is the whole trick
You could just pull the protein down with an antibody and sequence whatever RNA comes along, which is the older method called RIP. The problem is that RNAs re-associate and stick non-specifically after you break the cell open, so RIP is noisy. CLIP fixes this with a covalent crosslink made before lysis: a pulse of UV light forms a permanent covalent bond between the protein and the exact RNA nucleotides it is touching at that instant (a "zero-distance" crosslink). Because the bond is covalent, the RNA stays attached through harsh, stringent washes that strip away everything not directly bound. That is what gives CLIP its specificity.
The core workflow
- UV crosslink living cells, freezing each RBP onto the RNA it is bound to.
- Lyse and lightly digest with RNase to trim the RNA down to a footprint around the protein.
- Immunoprecipitate the RBP with a specific antibody, capturing the protein plus its crosslinked RNA.
- Stringent wash to remove non-crosslinked, background RNA.
- Recover the RNA, build a sequencing library (with adapters and unique molecular identifiers), and sequence.
- Map and call peaks: enriched pile-ups mark binding sites.
Decode the jargonCrosslink
A covalent bond formed (here by UV light) between a protein and the RNA nucleotide it is directly contacting. It survives stringent washing, which is how CLIP distinguishes a genuine, direct interaction from RNA that merely co-purifies.
The CLIP family: HITS-CLIP, PAR-CLIP, iCLIP, eCLIP
You will meet four names. They differ mainly in how they pin down the exact crosslink position and how they control for background.
| Method | Key idea | How it pinpoints the site |
|---|---|---|
| HITS-CLIP | The original transcriptome-wide CLIP (also just "CLIP-seq"). | Peak of reads over background. |
| PAR-CLIP | Cells are fed 4-thiouridine (4SU), which incorporates into RNA and crosslinks efficiently under 365 nm UV. | Reverse transcription reads the crosslinked 4SU as a characteristic T→C transition, a single-nucleotide signature of the contact point. |
| iCLIP | Exploits that reverse transcriptase usually truncates at the crosslinked nucleotide (the leftover peptide blocks it). | The read's truncation site marks the crosslink at single-nucleotide resolution. |
| eCLIP | ENCODE's robust, efficient version with a size-matched input control. | Truncation site, with enrichment measured against the paired input. |
The trend across these is toward single-nucleotide resolution and proper controls. PAR-CLIP's T→C transitions and iCLIP/eCLIP's truncation sites both locate the contact far more precisely than a broad read pile-up.
⚠️ Controls and pitfalls decide whether you can trust a peak
CLIP is powerful but prone to artefacts. Watch for: antibody specificity (a bad antibody pulls down the wrong protein), contamination by hyper-abundant RNAs (rRNA, snRNAs), a uridine crosslinking bias that makes U-rich regions over-represented, and PCR duplicates (which is why libraries use UMIs to deduplicate). The single most important safeguard is a control: eCLIP's size-matched input lets you ask "is this peak really enriched over background?" Always demand reproducibility across replicates too.
From reads to binding sites: the analysis
A typical eCLIP-style pipeline looks like this. You do not need to memorize the tools, but you should recognize the shape:
# 1. Trim adapters and remove PCR duplicates using the UMIs # 2. Align the footprint reads to the genome (e.g. STAR) # 3. Collapse duplicates by UMI so each original molecule counts once # 4. Call peaks and test enrichment AGAINST the size-matched input $ clipper --species hg38 --bam IP.bam --outfile peaks.bed # 5. Keep peaks reproducible across replicates, then find the motif
The end products are a BED file of high-confidence binding sites, an enriched sequence motif (the protein's preferred sequence or structure), and the set of transcripts it regulates, which you can then cross with expression data.
🔶 Level up: real data and tools
The ENCODE project released eCLIP data for hundreds of human RBPs, all public. Common peak callers include CLIPper (eCLIP), PureCLIP, PARpipe/PARalyzer (PAR-CLIP), and Piranha. A great exercise once you finish this track: download one RBP's eCLIP data and reproduce its known binding motif.
Check your understanding
Sources & further reading
- Licatalosi DD, et al. HITS-CLIP yields genome-wide insights into brain alternative RNA processing. Nature, 2008.
- Hafner M, et al. Transcriptome-wide identification of RNA-binding protein and microRNA target sites by PAR-CLIP. Cell, 2010.
- König J, et al. iCLIP reveals the function of hnRNP particles in splicing at individual nucleotide resolution. Nat Struct Mol Biol, 2010.
- Van Nostrand EL, et al. Robust transcriptome-wide discovery of RBP binding sites with enhanced CLIP (eCLIP). Nat Methods, 2016. ENCODE eCLIP data
Last reviewed: June 2026.