Video summary

Biochemistry Focus ECR webinar – The complex world of RNA modification and replication

Main summary

Key takeaways

Educational

Main ideas & lessons conveyed

Webinar purpose and structure

  • This is an early-career researcher (ECR) webinar in the Biochemical Society / Biochemistry Focus Webinar Series, sponsored by the Biochemical Society and Portland Press.
  • The session is titled “The complex world of RNA modification and replication.”
  • Viewers are encouraged to submit questions during the webinar via a screen-based question box; questions are addressed toward the end.

Speaker 1: Cara F. (RWTH Aachen University) — ADP-ribosylation of RNA (“ADP-ribose RNA capping”)

Core concept introduced

  • ADP-ribosylation is a known protein modification discovered in the 1960s.
  • Mechanism (protein-based background):
    • ADP-ribosyltransferases (human PARP family, e.g., “PARP” enzymes) use NAD to transfer ADP-ribose to substrate molecules.
    • Substrates can receive:
      • a single ADP-ribose, or
      • poly-ADP-ribose (PAR) chains.
    • The process is reversible via dedicated hydrolases:
      • enzymes that reverse PAR chains
      • enzymes that remove single ADP-ribose units to return substrates to baseline.
  • Extension to RNA:
    • RNAs can also be substrates for ADP-ribosylation.
    • The talk focuses on a model where RNA receives an ADP-ribose “cap-like” structure (conceptually analogous to other RNA caps).

Why the speakers investigated it

  • Two key studies (2018 and 2019) reported that:
    • yeast enzymes (e.g., Tpt1) could modify RNA/DNA,
    • human PARP family enzymes plus other enzymes could modify RNA.
  • Initial “lab debate”:
    • the lab primarily focused on protein modification, so RNA modification was unexpected.
  • Motivation:
    • reproduce and clarify what others observed
    • determine whether RNA modification is detectable in cells, not only in vitro.

Methodology / experimental workflow

In vitro ADP-ribosylation assays

  • Starting point from literature:
    • incubate RNA (or oligonucleotides) with ADP-ribose transferases and radio-labeled NAD/ADP-ribose
    • detect incorporation by autoradiography.
  • Adapted approach (no radioactivity):
    • use an RNA oligo with defined chemistry at the 3’ end (described as a 3’-phosphate / “OLe/All” approach depending on substrate design)
    • infer modification efficiency from visualizable gel shifts.

Assay substrate requirements

  • Activity depends on oligo design:
    • efficient modification when oligos start with adenine/guanine
    • less/none when starting nucleotide differs
  • This helped reconcile why different papers reported different apparent activity levels:
    • different oligo starting nucleotides affect observed efficiency.

Reversibility controls

  • Demonstrated reversibility:
    • ADP-ribosylated RNA can be reversed by adding specific hydrolases
    • resulting RNA returns to an unmodified gel band state.

Detection in cells: antibody-based method (initial attempt)

  • Slot blotting was used to detect ADP-ribose–modified RNA extracted from cells.
  • A commercially available antibody was used.
  • Early result:
    • little/no signal compared with wild-type controls.
  • Hypotheses tested:
    • transferases may be insufficiently active in the system, and/or
    • hydrolases remove the modification quickly.
  • Strategy:
    • overexpress components that might generate modification
    • block reversal by using a cocktail of siRNAs targeting different ADP-ribose hydrolases.
  • Result:
    • stronger ADP-ribosylated RNA signal when reversal is prevented.

Cellular induction by stress

  • Stress can induce detectable RNA ADP-ribosylation, including:
    • interferon alpha
    • EBSS (energy stress / starvation)
  • Certain RNAs (e.g., specific mRNAs) may become ADP-ribosylated.

Complementary validation: LC-MS approach

  • Because antibodies alone are not fully definitive, an LC-MS-based pipeline was developed.
  • High-level pipeline:
    • generate ADP-ribose–modified RNA standards by enzymatically generating individual nucleotides with ADP-ribose
    • run extracted RNA from cells (including knockdown conditions removing key hydrolases)
    • detect modified nucleotide signatures by LC-MS.
  • Result:
    • early signals support that modification exists in cells (quantitation still developing).

Function tests: translation and stability

Does the ADP-ribose “cap” enable translation?

  • Compared translation for RNAs with:
    • no cap (control)
    • canonical m7G cap
    • ADP-ribose cap
  • Findings:
    • non-capped / ADP-ribose-capped RNAs did not show canonical translation
    • m7G-capped RNAs translated as expected
  • Conclusion confirmed using an in vitro translation system.

Is it a degradation/dependency signal?

  • Treated ADP-ribose-capped RNAs with exonuclease/degradation machinery and hydrolases.
  • Findings:
    • ADP-ribosylated RNA remained stable
    • unlike unmodified RNA
  • Implication:
    • ADP-ribose capping does not primarily act as a degradation trigger (unlike behaviors attributed to NAD-capped RNA).

Identifying reversal (“de-capping”) enzymes

  • Tested candidate enzymes that reverse ADP-ribosylation.
  • Findings:
    • some enzymes involved in related decapping/reversal pathways can decap ADP-ribosylated RNA in vitro.
  • Key insight:
    • multiple hydrolase domains can reverse the RNA modification
    • PARG-like and macro-domain involvement were highlighted.

Mechanistic comparison with NAD capping

  • Conceptual parallel proposed:
    • NAD cap
      • introduced early/transcription-associated
      • blocks translation
      • marks RNA for degradation
    • ADP-ribose cap
      • introduced post-transcriptionally
      • blocks canonical translation
      • appears to protect RNA from degradation
      • reversed by RNA ADP-ribose hydrolases (notably PARP/PARG-related enzymes)

Central conclusions from Cara’s talk

  • The modification likely exists in living cells, supported by:
    • antibody detection with reversal-blocking strategies
    • emerging LC-MS evidence
  • It appears stress-induced and dynamic.
  • The “ADP-ribose cap”:
    • likely does not enable translation
    • likely does not mainly promote degradation
    • instead seems to stabilize RNA under certain contexts
  • Next functional priority:
    • determine which RNAs get modified (transcript specificity)
  • Next technological priority:
    • develop a pipeline to identify modified RNAs genome-wide.

RNA identification / sequencing pipeline (detailed bullets)

  • Goal: identify which RNAs carry the ADP-ribose cap under conditions like EBSS.
  • Workflow described:
    1. Isolate total RNA (mixture of capped and uncapped forms).
    2. Remove free phosphates using a phosphatase step.
    3. Reveal the cap-associated phosphate using a macro/PARG-related hydrolase step.
    4. Use the newly exposed phosphate to attach adapters / enable library preparation.
    5. Sequence to identify modified RNA species.
  • Observations so far:
    • initial sequencing produced ~150 hits
    • optimization increased to ~500 hits in a second run
    • preliminary transcript categories align with stress biology (energy starvation / mitochondrial electron transport association)

Take-home summary (Cara)

  • RNA ADP-ribosylation (“ADP-ribose capping”) is real, stress-linked, reversible, and appears to protect RNA while blocking canonical translation.
  • Identifying RNA targets is essential to determine biological function and disease relevance (e.g., cancer, neurodegeneration, autoimmunity; PARP dysregulation context).

Speaker 2: Ari Williams (Bernhard Nocht Institute / Center for Structural Systems Biology) — Cap snatching and transcription initiation by negative-strand RNA viruses

Core concept introduced: cap snatching in negative-sense RNA viruses

  • Negative-sense RNA viruses lack mRNA capping activity and rely on:
    • cap snatching: stealing cap fragments from host mRNAs to initiate viral RNA transcription.
  • Mechanism:
    • Viral L protein contains multiple essential enzymatic and binding domains.
    • L binds host mRNA cap fragments, then an endonuclease cleaves downstream.
    • The cap fragment is incorporated into viral transcripts, producing chimeric viral mRNAs that recruit host translation machinery.

Target system and biological background

  • Focus virus: SFTSV (severe fever with thrombocytopenia syndrome virus).
  • Genome organization:
    • tri-segment genome: S / M / L
    • L segment encodes the L protein, including RNA-dependent RNA polymerase activity.
  • L protein functional architecture:
    • N-terminal endonuclease
    • central RNA-dependent RNA polymerase (RdRP) core
    • C-terminal cap-binding domain (CBD)

Methodology / structural biology approach

  • Primary technique: single-particle cryo-electron microscopy (cryo-EM).
  • General cryo-EM workflow (conceptual):
    • express and purify L protein
    • incubate with designed RNA substrates/primers
    • collect grids (collaborators in Hamburg mentioned)
    • acquire micrographs
    • computational processing:
      • particle picking
      • 2D classification
      • 3D reconstruction
      • fit atomic models into density maps
  • Stepwise structural strategy to capture initiation vs elongation:
    • no NTPs during initiation/priming state to prevent elongation
    • use short RNAs corresponding to genome ends:
      • a short 5’ RNA and 3’ RNA (template/primer elements)
      • include cap RNA fragments and relevant primer components
  • Two principal cryo-EM targets:
    1. Transcription initiation / priming state
      • L protein + RNA components (5’ and 3’ ends + cap fragment/primer elements)
      • structure at ~3.3–3.4 Å reported
    2. Early elongation state
      • include NTPs with a non-hydrolyzable UTP analog to stall after incorporation
      • structure resolves early product with stalling

Key structural findings

Initiation / priming state

  • L protein binds the 5’ RNA at a defined site via a distinctive “hook-like” corkscrew duplex architecture involving the template.
  • Cap RNA binding occurs at two locations:
    • the 5’ cap end binds the cap-binding domain (CBD)
    • the other end base-pairs with the template near the RdRP core
  • RNA recognition logic:
    • interactions appear largely phosphate-based rather than strongly sequence-specific in observed segments
    • many coordinating residues come from regions of L outside the CBD
    • implication:
      • studying isolated CBD constructs may miss crucial coordination residues

Priming → early elongation changes

  • Comparative observation:
    • overall coarse architecture may appear similar
    • but domain positions shift substantially as transcription progresses
  • Two-step conformational model proposed:
    1. CBD folds outward from the RdRP core region (to a different position seen in later-stage structure)
    2. endonuclease folds inward toward the CBD position
  • Late-stage elongation structures from prior work help anchor domain transition modeling.

Conclusions and outlook (Ari)

  • Cap-snatching coordination requires multi-domain rearrangement, not only localized cap binding.
  • Apparent lack of strict sequence specificity at the CBD suggests:
    • selection may be driven more by downstream base pairing with template/RdRP
    • rather than CBD sequence preference.
  • Next structural/biological goal:
    • understand assembly of L, RdRP, and nucleoprotein (NP) into viral ribonucleoprotein complexes (vRNPs) in infected cells
    • proposed methods:
      • single-particle cryo-EM of complexes
      • cryo-electron tomography for within-cell visualization

Drug discovery relevance mentioned

  • Structural data can clarify:
    • the precise binding modality/location for cap RNA
    • RNA-dependent conformational states
    • protein-protein interfaces unique to transcription/replication
  • Potential intervention strategies:
    • target RNA-binding pockets
    • or target state-specific conformational interfaces required for cap snatching/transcription

Question-and-answer themes (high-level)

  • Cara (RNA ADP-ribosylation):

    • differences between transcriptional (NAD cap) vs post-transcriptional (ADP-ribose cap) introduction
    • quantitative abundance: likely low abundance (few percent tops), with some transcripts showing higher modification
    • mono vs poly ADP-ribosylation: observed so far primarily mono (poly not fully assessed)
    • next steps: identify modified RNAs, link phenotypes to RNA vs protein ADP-ribosylation, and assess disease relevance (cancer/neuro/autoimmune)
  • Ari (cap snatching):

    • whether cap snatching depends on host factors: structural data supports cap requirement more than strict host targeting; selection may rely on base pairing and processivity vs CBD sequence specificity
    • spread across viruses: likely widespread among negative-sense RNA viruses lacking capping activity, but may differ mechanistically by family
    • drug targeting challenge: structural mechanisms are needed given limited virus-specific drugs
    • host receptor specificity for entry: not addressed definitively; would consult colleagues
    • assay differences for ADP-ribosylation signals: suggested importance of substrate features such as single-stranded RNA overhangs

Speakers / sources featured (as named in the subtitles)

Speakers (main presenters)

  • Dr. Mikel T (host/moderator; webinar introduction)
  • Cara F. (first invited speaker; RWTH Aachen University)
  • Ari Williams (second invited speaker; Bernhard Nocht Institute for Tropical Medicine / Center for Structural Systems Biology)

Cited / referenced external groups or papers (mentioned in subtitles)

  • Schuman lab (2018 paper on yeast enzyme activity transferring ADP-ribose to RNA/DNA)
  • Arap and Ox (2019 paper(s) on human PARP enzymes modifying RNA)
  • Mention of HeLa cells for RNA extraction
  • Mention of biological stimuli: EBSS, interferon alpha
  • Mention of enzyme/cap analog context: m7G cap, NAD cap, PARP/PARG-like hydrolases, macro-domain hydrolases
  • Mention of additional virus context: influenza and other negative-strand RNA viruses (referenced indirectly via colleagues)
  • Named collaborators/people credited at the end of Ari’s talk:
    • Carola
    • Dominic
    • Morin
    • Sigy
  • Mentioned institution in Ari’s workflow:
    • CSSB in Hamburg (collaborators for cryo-EM grid/data collection)

Original video