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	<title>SpRY &#8211; Science</title>
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	<title>SpRY &#8211; Science</title>
	<link>https://scienmag.com</link>
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		<title>Choosing the Right Adenine Base Editor: New Study Maps the Rules for Precision Gene Editing</title>
		<link>https://scienmag.com/choosing-the-right-adenine-base-editor-new-study-maps-the-rules-for-precision-gene-editing/</link>
		
		<dc:creator><![CDATA[Juliet Wilcox]]></dc:creator>
		<pubDate>Wed, 30 Sep 2026 20:15:14 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[ABE8e]]></category>
		<category><![CDATA[Adenine base editor selection]]></category>
		<category><![CDATA[adenine base editors]]></category>
		<category><![CDATA[advancements in molecular gene editing tools]]></category>
		<category><![CDATA[avoiding double-strand DNA breaks]]></category>
		<category><![CDATA[base editing window optimization]]></category>
		<category><![CDATA[chemical conversion of A•T to G•C base pairs]]></category>
		<category><![CDATA[CRISPR]]></category>
		<category><![CDATA[CRISPR gene editing precision]]></category>
		<category><![CDATA[criteria for choosing adenine base editors]]></category>
		<category><![CDATA[engineered variants of SpCas9]]></category>
		<category><![CDATA[gene therapy]]></category>
		<category><![CDATA[guide RNA design for base editing]]></category>
		<category><![CDATA[minimizing off-target effects in base editing]]></category>
		<category><![CDATA[mutation-specific base editor application]]></category>
		<category><![CDATA[off-target editing]]></category>
		<category><![CDATA[PAM]]></category>
		<category><![CDATA[retinitis pigmentosa]]></category>
		<category><![CDATA[Rhodopsin mutation]]></category>
		<category><![CDATA[safe gene therapy techniques]]></category>
		<category><![CDATA[sgRNA design]]></category>
		<category><![CDATA[SpCas9]]></category>
		<category><![CDATA[SpCas9-NG]]></category>
		<category><![CDATA[SpRY]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=218842</guid>

					<description><![CDATA[A systematic comparison of SpCas9-based adenine base editors in human cells reveals that conventional NGG-targeting editors deliver the highest activity while SpRY-derived editors show superior mismatch discrimination, and that adding an extra 5′ guanine to guide RNAs can unexpectedly reduce editing efficiency.]]></description>
										<content:encoded><![CDATA[<p>Adenine base editors have been heralded as one of the most elegant refinements of the CRISPR revolution, capable of chemically converting a single A•T base pair into a G•C base pair without cutting both strands of the DNA double helix. Yet as the toolbox of these molecular machines has expanded, a practical problem has emerged: with so many engineered variants now available, researchers and clinicians have lacked clear guidance on which editor to deploy for a given disease mutation. A new study published in Gene Therapy by Jiahua Wang, Leben He, and colleagues, led by corresponding authors Jin Yang and Feng Gu, tackles that question head-on, offering a rational framework for selecting among adenine base editors built on SpCas9 and its engineered derivatives.</p>
<p>The editors under scrutiny all share the same basic architecture: a Cas9 nickase fused to an adenosine deaminase, guided to its target by a single guide RNA, or sgRNA. The deaminase chemically converts adenosine to inosine within a short editing window, and cellular machinery reads inosine as guanosine, effectively rewriting the genetic letter. Because the process avoids creating double-strand breaks, base editors sidestep many of the risks associated with conventional CRISPR nucleases, including unwanted indels and chromosomal rearrangements. That safety profile has made them attractive candidates for treating human genetic diseases, from retinal degeneration to metabolic disorders.</p>
<p>The catch lies in the targeting constraints of the underlying Cas9 scaffold. Wild-type SpCas9, the workhorse of the field, requires a protospacer adjacent motif, or PAM, with the sequence NGG immediately downstream of the target site. This strict requirement means that many disease-causing mutations simply sit out of reach. Two engineered variants changed the calculus. SpCas9-NG, developed through protein engineering, recognizes a relaxed NG PAM, dramatically expanding the pool of editable sites. SpRY, described as a near-PAMless variant, pushes this flexibility even further, approaching unconstrained genome targeting. Both variants have been incorporated into adenine base editor systems, but until now, no systematic head-to-head comparison existed to tell researchers when the added flexibility is worth the trade-off.</p>
<p>The research team constructed three editor systems, which they refer to as NGG-ABE8e, NG-ABE8e, and SpRY-ABE8e, pairing the high-activity ABE8e deaminase domain with each Cas9 scaffold. They then evaluated all three in human cells, measuring editing activity, the width of the editing window, and the editors&#8217; ability to discriminate against mismatched target sequences. The results revealed a nuanced picture rather than a simple hierarchy. NGG-ABE8e, built on the conventional SpCas9 scaffold, delivered higher editing activity at most of the tested NGG-PAM sites, confirming that the original enzyme remains a potent choice when the target sequence happens to sit near a canonical PAM.</p>
<p>SpRY-ABE8e, by contrast, showed a distinct advantage in specificity. In targeted off-target analyses at selected predicted sites bearing NGG PAMs, the SpRY-based editor displayed stronger mismatch discrimination and lower detectable A-to-G editing than its counterparts. This finding carries real clinical weight. Off-target editing, in which the editor chemically alters unintended sites in the genome, remains one of the central safety concerns for any therapeutic application. An editor that tolerates a broader range of PAMs might be expected to be sloppier, yet the data suggest SpRY-based editors can be more discriminating at certain off-target loci, a property that could make them preferable for applications where precision outweighs raw efficiency.</p>
<p>Beyond the choice of scaffold, the study delved into a subtler variable that is often overlooked in guide RNA design: the length of the spacer sequence and the addition of an extra guanine at the 5′ end. Guide RNAs are typically transcribed from U6 promoters, which have a strong preference for starting with a guanine, and a common practice has been to append a 5′ G when the native spacer does not begin with one. The team found that both spacer length and 5′ G addition affected editing outcomes, but crucially, these effects were site- and editor-dependent. There was no universal recipe that worked across all targets.</p>
<p>Perhaps the most striking practical lesson concerns the added 5′ guanine itself. The conventional wisdom held that appending this nucleotide was generally harmless or even beneficial. The new data overturn that assumption. Adding an extra 5′ G was not uniformly helpful and could actually reduce editing efficiency, particularly when the native spacer already began with a guanine. In other words, the very practice intended to standardize guide design can silently undermine performance at some targets. For laboratories designing guides for therapeutic editing, this means the sequence context of each individual target must be considered rather than relying on blanket rules.</p>
<p>The team did not stop at synthetic test targets. They extended their comparison to endogenous genomic sites, including therapeutic targets of clinical interest. Among these was a mutation in the Rhodopsin gene, which is associated with autosomal dominant retinitis pigmentosa, a devastating inherited form of progressive blindness. The editors were tested for their ability to correct this disease-relevant mutation, providing a proof-of-concept demonstration that the selection principles established in the study translate to real therapeutic scenarios. Retinal diseases are a particularly compelling frontier for base editing because the eye is relatively accessible to local delivery and immune-privileged, and prior work has already shown that adenine base editors can correct patient-specific Rhodopsin mutations in mouse models.</p>
<p>The broader significance of the study lies in its reframing of editor selection as an engineering decision with quantifiable trade-offs. For a mutation located near an NGG PAM, the conventional NGG-ABE8e offers maximum activity. For targets where specificity is paramount, or where predicted off-target sites with NGG PAMs raise concerns, SpRY-ABE8e may be the safer bet despite potentially lower on-target efficiency. SpCas9-NG-derived editors occupy the middle ground, extending the reachable target space beyond the canonical PAM while retaining substantial activity. Layered on top of scaffold choice is the guide design dimension, where spacer length and 5′ nucleotide composition must be tuned per target. The authors also note that the field is moving toward predictive tools, including deep learning models that forecast base editing efficiencies in different cellular contexts, and empirical datasets like this one provide exactly the kind of ground truth such models need.</p>
<p>As base editors advance from cell culture experiments toward clinical trials, with in vivo editing of PCSK9 in macaques already demonstrating cholesterol reduction and approved CRISPR therapies for sickle cell disease establishing regulatory precedent, the questions this study addresses are no longer academic. Every therapeutic program must justify its choice of editor and guide design to regulators, and evidence that a given combination maximizes on-target correction while minimizing off-target risk is essential to that case. By systematically benchmarking three editor architectures across activity, specificity, and guide design variables, and by validating the findings at endogenous and therapeutic sites, the researchers have converted a confusing menu of options into a rational decision framework. For a field racing toward precision medicine, knowing which molecular tool to reach for, and how to load it correctly, may prove as important as the tools themselves.</p>
<p><strong>Subject of Research:</strong> Comparative evaluation of SpCas9 and variant-derived adenine base editors and sgRNA design for human genome editing</p>
<p><strong>Article Title:</strong> Rational selection of SpCas9 and variant-derived adenine base editors for human genome editing</p>
<p><strong>Article References:</strong> Wang, J., He, L., Li, L., Zhang, Y., Wang, Y., Yang, Y., Song, Z., Liang, Y., Yang, J., &amp; Gu, F. (2026). Rational selection of SpCas9 and variant-derived adenine base editors for human genome editing. <em>Gene Therapy</em>. <a href="https://doi.org/10.1038/s41434-026-00639-9" rel="noopener noreferrer">https://doi.org/10.1038/s41434-026-00639-9</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1038/s41434-026-00639-9" rel="noopener noreferrer">10.1038/s41434-026-00639-9</a></p>
<p><strong>Keywords:</strong> adenine base editors, SpCas9, SpCas9-NG, SpRY, ABE8e, CRISPR, sgRNA design, PAM, off-target editing, gene therapy, Rhodopsin mutation, retinitis pigmentosa</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">218842</post-id>	</item>
		<item>
		<title>DNA-Binding Protein Fusions Supercharge PAM-Flexible, High-Precision Base Editing</title>
		<link>https://scienmag.com/dna-binding-protein-fusions-supercharge-pam-flexible-high-precision-base-editing/</link>
		
		<dc:creator><![CDATA[Juliet Wilcox]]></dc:creator>
		<pubDate>Sat, 12 Sep 2026 19:22:51 +0000</pubDate>
				<category><![CDATA[Technology and Engineering]]></category>
		<category><![CDATA[avoiding bystander edits]]></category>
		<category><![CDATA[base editing]]></category>
		<category><![CDATA[bystander editing]]></category>
		<category><![CDATA[CDA1 deaminase]]></category>
		<category><![CDATA[chromatin protein HMGN1 fusion]]></category>
		<category><![CDATA[CRISPR base editing]]></category>
		<category><![CDATA[CRISPR-Cas9]]></category>
		<category><![CDATA[crop genetic engineering]]></category>
		<category><![CDATA[cytidine base editors]]></category>
		<category><![CDATA[cytosine deamination]]></category>
		<category><![CDATA[DNA-binding protein fusions]]></category>
		<category><![CDATA[gene therapy]]></category>
		<category><![CDATA[genome editing efficiency]]></category>
		<category><![CDATA[high-precision genome editing]]></category>
		<category><![CDATA[HMGN1]]></category>
		<category><![CDATA[PAM-flexible Cas9 variants]]></category>
		<category><![CDATA[PAM-flexible targeting]]></category>
		<category><![CDATA[prime editing]]></category>
		<category><![CDATA[rice genome editing]]></category>
		<category><![CDATA[single nucleotide polymorphism correction]]></category>
		<category><![CDATA[SpRY]]></category>
		<category><![CDATA[targeted mutation correction]]></category>
		<category><![CDATA[transcriptional activator VP64]]></category>
		<category><![CDATA[VP64]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=197836</guid>

					<description><![CDATA[Researchers have fused HMGN1 and VP64 to a PAM-flexible, truncated-CDA1 base editor, boosting precision and efficiency for editing nearly any genomic cytosine in yeast and rice.]]></description>
										<content:encoded><![CDATA[<p>Scientists have unveiled a significantly upgraded CRISPR base editing platform that combines near-unrestricted DNA targeting with pinpoint accuracy and markedly higher efficiency, potentially transforming efforts to correct disease-causing mutations and engineer improved crops. In a study published in Advanced Science, researchers report that coupling a PAM-flexible Cas9 variant with carefully truncated deaminase domains—and then supercharging the system with synergistic fusions of the chromatin protein HMGN1 and the transcriptional activator VP64—yields base editors that can precisely modify virtually any cytidine in a genome while avoiding the unintended bystander edits that have long plagued the field.</p>
<p>Base editors represent one of the most elegant refinements of the original CRISPR-Cas9 concept. Rather than cutting both strands of DNA and relying on the cell&#8217;s error-prone repair machinery—a process that generates random insertions and deletions—base editors fuse a catalytically impaired Cas nickase to a deaminase enzyme that chemically converts one nucleobase into another. Cytosine base editors, the class at the center of the new work, convert C-G base pairs into T-A pairs without creating double-strand breaks or requiring a donor DNA template. This is a critical advantage given that more than half of known human hereditary diseases are caused by single point mutations, and that precision breeding in agriculture likewise demands exact nucleotide changes rather than gene knockouts.</p>
<p>The Achilles&#8217; heel of conventional cytosine base editors has been precision. Most editors operate across a wide activity window spanning roughly four to seventeen nucleotides, meaning they can alter not just the intended target cytosine but also nearby &#8216;bystander&#8217; cytosines. That is a serious problem in a clinical context: many disease-associated alleles, including those in the HBB locus linked to beta-thalassemia, the APOE4 gene associated with Alzheimer&#8217;s disease, and the TYR locus involved in oculocutaneous albinism, contain multiple cytosines within a typical editing window. Even synonymous substitutions, which do not change the encoded amino acid, have been shown to exert strong non-neutral effects, underscoring the risk of any unintended edit.</p>
<p>The research team, building on their earlier development of high-precision editors based on CDA1, a deaminase from the sea lamprey, tackled two intertwined limitations: targeting scope and efficiency. Previous work had shown that trimming thirteen to twenty amino acids from the C-terminus of CDA1 restricts the editing window so that the editor overwhelmingly modifies a single cytosine at position C-18 relative to the PAM sequence. But those editors still required a guanine within the PAM, leaving many genomic sites inaccessible. To eliminate this constraint, the researchers replaced the standard Cas9 nickase with nSpRY, an engineered variant that tolerates nearly any three-nucleotide sequence as a PAM, effectively enabling editing at almost any genomic location.</p>
<p>A series of experiments in yeast demonstrated that the combination worked, and in a surprisingly beneficial way. Seven editor variants were built, pairing nSpRY with full-length or truncated CDA1, and tested on twelve target sites lacking NGG PAM motifs, including demanding stretches of consecutive cytidines. The truncated variants produced editing windows of only one to two nucleotides, centered on C-18, and frequently converted the target cytosine two to three times more efficiently than its nearest neighbor. Even more strikingly, the truncated SpRY editors outperformed the full-length editor at position C-18 itself—by up to 6.11-fold at certain sites. Deep sequencing of the sgRNA expression plasmids revealed why: the full-length editor engaged in broad &#8216;self-editing&#8217; of the guide RNA spacer, introducing multiple mismatches that cripple CRISPR targeting, whereas the truncated editor confined self-editing mostly to a single position, preserving a larger pool of functional guides.</p>
<p>The team then distilled their findings into a straightforward four-step design workflow that allows researchers to precisely edit any user-chosen cytidine in a genome: identify the target cytosine, design a guide RNA that places it at position -18, select the appropriate editor based on the PAM context—standard nCas9 editors for NGG PAMs, Cas9-NG or SpG editors for NGH PAMs, and SpRY editors for everything else—and pick the optimal CDA1 truncation. Validating the approach, the researchers targeted each of three consecutive cytidines at a randomly chosen yeast locus. Their best editor, CDA1Δ194-SpRY-BE3, converted the intended cytosine 1.05- to 7.41-fold more efficiently than its bystander neighbors, with single-target products making up 41.60 to 63.65 percent of all edited reads. The full-length control editors, by contrast, produced fewer than 8.7 percent of the desired single-target products, instead yielding doubly and triply edited molecules.</p>
<p>With precision and targeting scope secured, the remaining challenge was efficiency, which is often compromised in PAM-flexible Cas9 variants. The researchers systematically screened fifteen DNA-interacting proteins spanning four functional classes—transcription activators, chromatin-associated factors, pioneer transcription factors, and bacterial DNA-bending peptides—fusing each to the N-terminus of their best editor. Most fusions reduced activity, but two stood out: HMGN1, a nucleosome-binding chromatin protein, and VP64, a potent viral transcriptional activator domain. Individually they delivered modest gains, averaging 1.17-fold and 1.42-fold respectively. But combining both factors produced a dramatic synergistic effect: across thirty-six tested target sites, the dual fusion boosted average editing efficiency 4.24-fold, with improvements observed at every site examined. In multiplex editing experiments using two guide RNAs simultaneously, the fusion editor achieved 6.86-fold and 2.31-fold efficiency increases at two loci while retaining its narrow editing window and generating 40.61 percent and 26.12 percent C-18-only products, compared with just 3.2 and 7.98 percent for the control editor. The strategy also generalized: fusing HMGN1 and VP64 to an rAPOBEC1-based SpRY editor yielded an average 2.47-fold efficiency gain across eleven loci.</p>
<p>Safety analyses confirmed that the enhanced editors did not sacrifice specificity. Whole-genome sequencing of edited yeast showed that truncated-CDA1 editors produced fewer genome-wide single-nucleotide variants than full-length constructs, and although VP64 caused a slight uptick in SNVs—likely because the activator domain can expose single-stranded DNA by altering local transcription—the fusion editors remained well below the off-target levels of canonical editors. Off-target RNA editing was likewise negligible for truncated variants, and targeted sequencing of predicted guide-dependent off-target sites showed frequencies comparable to controls. The truncated CDA1Δ190 variant in particular displayed transition levels nearly indistinguishable from unedited controls.</p>
<p>Crucially, the platform extended beyond yeast. In rice cells, the optimized truncated editor improved editing efficiency at eighteen of twenty endogenous target sites relative to full-length controls, with gains ranging from 1.32-fold to an extraordinary 4,617.95-fold and a maximum efficiency of 61.09 percent. Adding the HMGN1-VP64 fusion pushed performance further still, with improvements of up to 5,938.93-fold and a peak efficiency of 78.57 percent. In a direct head-to-head comparison with ePPE, a plant-optimized prime editor, at seven non-NGG target sites, the fusion base editor outperformed prime editing at six of seven sites, achieving efficiencies 2.27- to 28.61-fold higher and averaging 18.53 percent versus 5.31 percent for ePPE, albeit with slightly more bystander editing.</p>
<p>The authors position their enhanced base editors and prime editors as complementary tools rather than competitors: prime editors excel at installing diverse edit types with high product purity, while the new high-precision base editors offer unmatched efficiency for C-to-T transitions at previously unreachable genomic sites. Remaining challenges include the lower absolute efficiency at NYN PAMs, where SpRY&#8217;s intrinsic DNA-binding affinity appears rate-limiting, suggesting that next-generation variants such as the chimeric SpRYc could push the system even further. For now, the work delivers a versatile toolkit—one that pairs surgical precision with near-universal targeting reach and robust efficiency across yeast and rice—whose implications extend from functional genomics and precision crop breeding toward the long-term goal of safely correcting the point mutations that underlie much of human genetic disease.</p>
<p><strong>Subject of Research:</strong> Engineering synergistic HMGN1 and VP64 fusions with truncated CDA1 and PAM-flexible SpRY Cas9 for high-precision cytosine base editing</p>
<p><strong>Article Title:</strong> Synergistic HMGN1 and VP64 Fusions Potentiate High‐Precision and PAM‐Flexible Base Editing</p>
<p><strong>Article References:</strong> Luo, X., Qu, Y., Ye, Z., Li, Z., Zhang, Y., Luo, L., Li, S., Zhao, W., Wang, M., Bock, R., Wan, J., &amp; Tan, J. (2026). Synergistic HMGN1 and VP64 Fusions Potentiate High‐Precision and PAM‐Flexible Base Editing. <em>Advanced Science, 13</em>(50), Article e76047. <a href="https://doi.org/10.1002/advs.76047" rel="noopener noreferrer">https://doi.org/10.1002/advs.76047</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1002/advs.76047" rel="noopener noreferrer">10.1002/advs.76047</a></p>
<p><strong>Keywords:</strong> base editing, CRISPR-Cas9, SpRY, CDA1 deaminase, HMGN1, VP64, PAM-flexible targeting, bystander editing, cytosine deamination, rice genome editing, prime editing, gene therapy</p>
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