In vivo editing has a late-stage signal.
Phase 3 HAE data make one-time systemic editing a current diligence problem rather than a distant platform promise.
As of June 2026, gene therapy is separating by permanence class. Ex vivo CRISPR is approved, systemic in vivo CRISPR has late-stage human data, RNA editing is moving toward regulatory feedback, and epigenome editing is testing whether durable regulation can be tuned rather than permanent.
This page tracks delivery, edit durability, reversibility, off-target risk, tissue specificity, rescue logic, and whether the modality fits the disease mechanism.
The strongest programs ask whether the right tissue, dose, edit type, reversibility, and long-term follow-up burden match the disease.
Therapeutic platforms that edit, replace, silence, repair, regulate, or compensate for DNA, RNA, chromatin, and variant-to-function disease mechanisms.
Phase 3 HAE data make one-time systemic editing a current diligence problem rather than a distant platform promise.
Clinical AATD data are testing correction without permanent DNA alteration.
Off-target, immune, liver, biodistribution, durability, retreatment, and reversibility questions become more consequential as edits become harder to reverse.
Each signal below starts from the field: what changed, why it matters, and which research or buyer decision becomes more testable.
Intellia reported additional Phase 3 HAELO data for lonvoguran ziclumeran, a one-time KLKB1 gene-editing therapy for hereditary angioedema.
Late-stage human data make durability, safety monitoring, and chronic-therapy substitution immediate questions.
Changes whether in vivo editing is evaluated as a platform story or disease-specific permanence tradeoff.
FDA issued draft guidance on safety assessment of genome editing in human gene therapy products using next-generation sequencing.
Standardized off-target and safety expectations influence which platform claims can move toward IND and BLA packages.
Changes assay investment, IND-readiness, and long-term follow-up planning.
Wave reported RestorAATion-2 data for WVE-006 in alpha-1 antitrypsin deficiency and expected FDA feedback on a potential accelerated path in mid-2026.
RNA editing offers a repeatable and potentially reversible class, but it depends on dosing, tissue delivery, phenotype threshold, and durability.
Changes whether a buyer should prefer RNA correction over permanent DNA editing.
FDA issued draft guidance on leveraging prior knowledge in human gene therapy products incorporating genome editing.
Rare and modular programs may be able to reduce redundant evidence if the mechanism, platform, and prior knowledge are credibly bridged.
Changes platform reuse, target expansion, and rare-disease development strategy.
These representative programs and research fronts frame the active field before the page maps Zemi Dossiers into it.
Lonvo-z/NTLA-2002 makes HAE a live test of whether permanent KLKB1 editing can replace chronic prophylaxis while maintaining safety and attack-free durability.
Safety standardsFDA's 2026 draft guidance pushes sponsors to define assay sensitivity, input material, sequencing depth, bystander edits, and chromosome-integrity risks early.
RNA editingWVE-006 in AATD is testing whether an RNA edit can produce a protective phenotype across lung and liver disease with practical monthly or biweekly dosing.
Platform reuseFDA's June 2026 draft guidance makes platform similarity, target differences, nonclinical relevance, and clinical bridge evidence part of the development strategy.
Regulation without cuttingProgrammable repression, activation, and epigenetic tuning are being evaluated where permanent sequence change is too risky or the disease biology requires graded control.
These are field-level gates first. The dossier library appears later as the set of existing Zemi products that can help investigate them.
Does the disease justify permanent, transient, repeatable, or tunable intervention?
Can the modality reach the right tissue and cell type at a tolerable dose?
Are assay sensitivity, biodistribution, and follow-up matched to risk?
Does the variant or mechanism respond in a decision-changing model?
Can the patient be retreated, reversed, rescued, or safely monitored?
Is the trial design credible for small populations and long-duration uncertainty?
Each dossier card uses stats from the actual research report manifest and Evidence & Decision Workbook, including pages, workbook sheets, evidence/source rows, claim rows, power rows, and decision instruments where present.
Turns in-vivo editing from a modality story into a coupled-system failure-mode map.
Which in-vivo editing programs are limited by edit chemistry, delivery, immune response, durability, or CMC before pivotal spend?
Pairs the research report with workbook evidence rows, claim discipline, decision instruments, power calculations, and next-study surfaces.
Positions RNA editing on a permanence spectrum so buyers do not confuse reversibility with durability or safety by default.
Which RNA-editing programs should rent correction, extend correction, or avoid RNA-level strategy based on permanence needs?
Pairs the research report with workbook evidence rows, claim discipline, decision instruments, power calculations, and next-study surfaces.
Classifies whether mitotic dilution, active erasure, or reactivation pressure will dominate before buyers commit to delivery, indication, or permanence strategy.
Which epigenome-editing programs have a defensible durability strategy, and what decay force would erase the imposed mark before benefit is proven?
Pairs the research report with workbook evidence rows, claim discipline, decision instruments, power calculations, and next-study surfaces.
Distinguishes remission achieved from durability solved by mapping persistence, sanctuary, and immune reconstitution risks.
Which autoimmune cell-therapy programs have a credible durability path, and what would reveal relapse risk before scale-up?
Pairs the research report with workbook evidence rows, claim discipline, decision instruments, power calculations, and next-study surfaces.
Routes immune-aging programs to the binding supply-chain node before treating broad immune decline as one therapeutic target.
Which immune-aging interventions target the binding node, and when would restoration create more risk than resilience?
Pairs the research report with workbook evidence rows, claim discipline, decision instruments, power calculations, and next-study surfaces.
Uses molecular mechanism rather than gene label to route programs toward addition, knockdown, editing, or avoidance logic.
Which genetic cardiomyopathy programs match mechanism, modality, delivery, safety window, and evidentiary standard well enough to advance?
Pairs the research report with workbook evidence rows, claim discipline, decision instruments, power calculations, and next-study surfaces.
Routes variant interpretation toward rescue experiments instead of stopping at association, prediction, or annotation confidence.
Which variant-to-function programs have enough evidence to justify rescue experiments, and what readout would falsify the rescue thesis?
Pairs the research report with workbook evidence rows, claim discipline, decision instruments, power calculations, and next-study surfaces.
Separates static generation wins from the harder validation problem: whether AI can predict dynamic biological response under prospective tests.
Which AI-biology programs deserve validation spend now, and what experiment would show whether the model changes a real discovery decision?
Pairs the research report with workbook evidence rows, claim discipline, decision instruments, power calculations, and next-study surfaces.
Maps the rejuvenation-transformation margin so buyers can distinguish clock movement from functional, controlled, and safe benefit.
Which partial-reprogramming programs have enough control, reversibility, and safety-margin evidence to justify next validation?
Pairs the research report with workbook evidence rows, claim discipline, decision instruments, power calculations, and next-study surfaces.
Separates endocrine, follicular, mitochondrial, stromal, and functional clocks before buyers infer benefit from measurement movement.
Which ovarian-aging readouts represent functional benefit, and which only move a clock without changing the decision?
Pairs the research report with workbook evidence rows, claim discipline, decision instruments, power calculations, and next-study surfaces.
Maps mitochondrial interventions onto a permanence ladder so buyers do not overbuild or underbuild the required correction.
Which mitochondrial programs need transient support, durable shift, editing, replacement, or avoidance based on heteroplasmy and tissue constraints?
Pairs the research report with workbook evidence rows, claim discipline, decision instruments, power calculations, and next-study surfaces.
These are the developments most likely to change the field map, evidence posture, or next-study priorities.
Approval would make systemic in vivo CRISPR a current treatment-category problem rather than a platform forecast.
RNA editingThe field needs to know whether monthly RNA editing can sustain a clinically meaningful protective phenotype.
Regulatory scienceFinal NGS expectations would change assay buildout, IND readiness, and long-term follow-up planning.
Epigenome editingExpression-control programs need evidence that tunability does not hide long-term cell-state or oncogenic liabilities.
The public page stays readable, but the underlying domain model tracks source-linked developments that change evidence posture, buyer decisions, or next-study priorities.
A one-time therapy can be attractive only when disease severity, durability, safety monitoring, and retreatment limits match the mechanism.
May 2026 / RNA editing RNA editing occupies a distinct permanence class.The diligence question is not whether it is safer by default, but whether repeat dosing can sustain enough correction with acceptable burden.
2026 / FDA guidance Regulatory expectations are becoming part of platform design.Safety assays and prior-knowledge bridging now shape which editing programs are economical to expand.
Request access to inspect the full research report, Evidence & Decision Workbook, power calculations, and release-audit surfaces behind each decision package.