Exoribonuclease 2026-11-05
An exoribonuclease is an enzyme that removes nucleotide units successively from an end of an RNA chain. The prefix exo describes end-directed action, in contrast to cleavage at an internal position. The attacked end must be specified: RNase R acts3′→5′, whereas Xrn1 acts5′→3′.[ref][ref]
End removal has a different inventory from an internal cut. In an idealized 100-nucleotide chain, 20 successive single-nucleotide removal events leave an 80-nucleotide chain. One internal cut can split that same original chain into two fragments while retaining all 100 nucleotides in those fragments. A change in fragment size therefore needs interpretation alongside product amounts and the type of cleavage.
Direction is also distinct from processivity, the persistence of successive reactions during one binding encounter. Binding to an end, removing a nucleotide and remaining associated are separable parts of an enzyme's behavior. End accessibility, RNA structure and terminal chemistry can all affect which substrates are degraded.
The 2011 structural and biochemical study of Xrn1 illustrates why the whole protein matters. Crystal structures of a defined construct were combined with mutational tests; regions remote from the active site helped stabilize its catalytic architecture. Thus a lost degradation signal after deleting a region need not mean that the deleted region itself contains the bond-cleaving chemistry.[ref]
Jennifer A. Doudna 2026-11-05
Jennifer A. Doudna studies RNA–protein systems and their roles in gene expression. She coauthored the 2011 Xrn1 study with Martin Jinek and Scott M. Coyle, connecting recognition of an RNA's end with its processive degradation.[ref]
Doudna also coauthored the 2012 biochemical demonstration that Cas9 uses RNA guides for sequence-directed DNA cleavage. The study showed that a single engineered RNA could combine the guiding functions of the natural two-RNA system, establishing a basis for programmable CRISPR genome editing.[ref]
The distinction between cutting a molecule and editing a genome is essential. Cleavage is an experimentally observed chemical event; the final inherited sequence additionally depends on DNA repair and cellular context. A nuclease result alone does not specify a repaired allele.
For an original geometric example, one complete double-strand cut in a circular DNA molecule opens it into one linear molecule. One internal double-strand cut in an already linear molecule instead gives two fragments. The same number of cuts can therefore yield different product counts depending on the starting topology. This elementary accounting illustrates why a gel electrophoresis result must be interpreted with a known starting substrate; it is not a numerical result from either paper.
Figure 1.
Jennifer A. Doudna, portrait by Keegan Houser linked from her Berkeley faculty profile
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Jeong Ho Chang 2026-11-05
Jeong Ho Chang is a researcher in structural biology and a coauthor of a 2011 study of Xrn1, an exoribonuclease that degrades RNA from its end toward its end. The paper's contribution statement explicitly credits Chang with mutagenesis, nuclease assays and thermal shift assays, as well as shared crystallographic work.[ref]
The team combined X-ray crystallography with biochemical measurements. A defined protein construct yielded structures at resolution. Additional protein domains lay away from the active site, yet alterations in these regions affected activity. Comparisons of RNA binding, degradation and thermal stability helped separate possible explanations for a defective enzyme.[ref]
One important experimental distinction is that the crystallized E178Q construct was catalytically defective; its detailed protein structure was not itself a demonstration of normal Xrn1 activity. A structural model and a functional assay supply complementary evidence.[ref]
For an original measurement example, suppose arbitrary units of intact RNA remain in a control and after an assay. The disappearance fraction is . That observation alone does not identify the degradation products, the processivity, or whether binding became weaker. Each requires an additional readout; the invented numbers illustrate why several assays are useful.
Figure 1.
Jeong Ho Chang, portrait from Kyungpook National University's named research profile
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Martin Jinek 2026-11-05
Martin Jinek coauthored a 2011 study explaining how Xrn1 recognizes an RNA end and couples hydrolysis to continued processing. The X-ray crystallography experiment used a truncated, catalytically altered construct bound to DNA; complementary biochemical experiments tested RNA degradation.[ref]
This pairing of methods matters: a bound nucleic-acid segment can reveal contacts near an active site, while a degradation assay tests chemical function. Neither a static structure nor a single product measurement independently reveals every step in motion.
For an original structural example, take two hypothetical RNA-DNA hybrids with the same paired positions but different unpaired RNA extensions of and nucleotides. The RNA strands contain and nucleotides, respectively, while both DNA partners contain . Equal paired-region length therefore does not mean equal accessibility of the end. This accounting illustrates a way of separating paired structure from end geometry, not the actual substrate dimensions used in the paper.
Jinek was also a coauthor of the 2012 demonstration of programmable Cas9 cleavage, together with Jennifer A. Doudna and other collaborators. That work connected guide RNA recognition with targeted DNA cleavage and showed that the guide functions could be combined in one RNA molecule.[ref]
Figure 1.
Martin Jinek, portrait linked from his University of Zurich research-group page
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Processivity 2026-11-05
Processivity describes how many successive catalytic steps an enzyme performs on one substrate during a binding encounter before separating from it. A DNA polymerase can add successive nucleotides; an exoribonuclease can remove them. The average run length and its distribution describe a different property from the number of steps performed per second.
An original probability model makes that distinction precise. After one completed step, suppose the enzyme continues to another step with a constant probability , independently at each decision, and otherwise releases the substrate. If counts all completed steps including that first one, then
This is a geometric distribution. With , the mean is 10 steps. Making each step take twice as long leaves that mean unchanged in the stipulated model. It changes speed, while changing the continuation probability changes processivity.
A structural experiment on Xrn1 connected substrate recognition to repeated cleavage. Mutations near its terminal-nucleotide recognition site changed the degradation pattern of labeled RNA, including accumulation of intermediates. The study combined structural information with denaturing-gel readouts rather than inferring enzyme behavior from the protein structure alone.[ref]
The probability model assumes a constant continuation probability and an indefinitely long substrate. A finite chain, a structured region or changing contacts can truncate or alter the run-length distribution. Likewise, a long final product can result from several binding encounters unless the assay distinguishes continued action from release followed by rebinding.
Scott M. Coyle 2026-11-05
Scott M. Coyle coauthored a 2011 biochemical and structural investigation of Xrn1 with Martin Jinek and Jennifer A. Doudna. It linked Xrn1 5′-phosphate recognition with processivity, the persistence of successive cleavage events during an enzyme–substrate encounter.[ref]
The experimental evidence included degradation of labeled RNA assessed by polyacrylamide gel electrophoresis. Comparing intact substrate with shorter products helped distinguish efficient complete processing from the accumulation of intermediates.[ref]
An original bookkeeping example separates molecule disappearance from the number of cleaved bonds. Suppose a sample begins with identical chains, each nucleotides long. If every chain loses just one terminal nucleotide, none of the original full-length molecules remains, but nucleotides are still present in the shortened chains. Their loss from the full-length band does not imply complete conversion into individual nucleotides.
Conversely, a large amount of short product at one sampling time does not alone measure the reaction rate or prove that each chain stayed bound throughout processing. A time series and appropriate controls add information that a single end-point gel electrophoresis image cannot supply. These are interpretive examples, without an inferred assignment of individual experiments from Coyle's author position.
Figure 1.
Scott M. Coyle, portrait linked from the University of Wisconsin–Madison Biotechnology Training Program
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Xrn1 5′-phosphate recognition is the selective interaction between Xrn1 and the monophosphate at an RNA chain's end. The enzyme recognizes the terminal nucleotide in context; free inorganic phosphate elsewhere in the sample is not the same substrate feature.
In a structural study of a defined Xrn1 construct, a pocket containing Lys93, Gln97, Arg100 and Arg101 contacted the terminal phosphate, while His41 stacked with the terminal base. Mutating phosphate-pocket residues impaired cleavage and processivity, linking a structural contact to enzyme function.[ref]
For a matched-substrate example, compare two RNAs with the same sequence but a monophosphate on one and a hydroxyl on the other. A difference in reaction progress can then test terminal chemistry while sequence is held fixed. Concentration and turnover regime must also be controlled: the study found that ordinary Xrn1 could degrade hydroxylated RNA under its single-turnover conditions, so monophosphate preference should not be rewritten as an absolute prohibition under every assay condition.[ref]
Recognition also matters after an initial cleavage. The newly exposed end must adopt a productive configuration for the next step. Thus a change at a binding pocket can alter repeated action as well as initial substrate selection; a binding signal alone does not establish productive hydrolysis.