Recognition
Editing begins with molecular targeting. Guide RNAs or engineered DNA-binding proteins help direct editing systems toward selected genomic regions. Recognition depends on the properties of the editing technology and the target sequence.
The science of what is possible
Read. Edit. Discover.
001 —
Enter the technology atlas
The genome is more than a sequence. It is a biological system we are learning to understand, investigate and engineer. Explore CRISPR technologies, precision editing and the molecular science reshaping modern genetic research.
Genome editing
CRISPR-Cas
Molecular engineering
Molecular Systems / Interactive Explorer
FIG. 01 / 03
Genome Editing Systems
Mechanism Atlas
EXPLORE
CRISPR-Cas9
RNA-guided target recognition and site-specific DNA cleavage.
Base Editing
Selected nucleotide conversions, illustrated using a C-to-T editing outcome.
Prime Editing
Template-directed editing using a Cas nickase, reverse transcriptase and prime editing guide RNA.
Scientific Domain
Molecular Biology
Research Focus
Genome Engineering
I.
Understand
Explore the principles of genetic information.
II.
Compare
Discover different molecular editing technologies.
III.
Investigate
Connect genome engineering to biological research.
An Exploration of Genetic Architecture
Every edit
begins with an
understanding.
A genome is not simply a collection of DNA
letters. It is an organized biological system
in which sequence, regulation, and cellular
context influence how genetic information
is interpreted.
Genome editing enables scientists to investigate
this system by directing molecular tools toward
selected genetic targets and introducing
controlled modifications.
THE CENTRAL QUESTION
How can a molecular system recognize a particular genetic sequence and produce a measurable biological change?
How can a molecular system recognize a particular genetic sequence and produce a measurable biological change?
Figure 01. Simplified comparison of DNA-targeting genome editing strategies. Target recognition, modification mechanisms, and validation requirements vary across editing systems. Cas9-mediated cleavage is one possible pathway; base editing and prime editing use different molecular mechanisms.
Scientific Concept / Genome EngineeringModification
The selected editing system determines the molecular process. Some technologies introduce DNA breaks followed by cellular repair, while others enable selected nucleotide conversions or template-directed sequence changes.
Interpretation
A molecular change must be characterized before its biological meaning can be understood. Researchers evaluate the intended sequence, potential unintended alterations and functional consequences within the relevant experimental model.
EditGene / Genome Atlas / Chapter 03
Molecular Systems Observatory
03 / Technology Observatory
The tools behind the transformation.
Genome engineering is not a single technology.
It is an evolving collection of molecular
systems, each with a distinct mechanism,
targeting strategy, and range of
potential outcomes.
Select a technology to explore its
scientific architecture.
SELECT / MOLECULAR SYSTEM
Molecular System
EditGene / Atlas
Research
CRISPR-Cas9
RNA-Guided DNA Nuclease
CRISPR-Cas12a
Staggered DNA Cleavage
Base Editing
Selected Base Conversion
Prime Editing
Template-Directed Editing
TALENs
Protein-Based DNA Targeting
EDITGENE / SYSTEM EXPLORER / REV. 01
● SELECT A TECHNOLOGY ABOVE
CONCEPTUAL MOLECULAR ILLUSTRATIONS
Different molecular systems. Different strategies. One evolving field of scientific discovery.
Discover Research Applications ↗
04 / Molecular Research Expedition
From sequence to discovery.
Every genome editing experiment is a journey
through molecular biology. It begins with a
genetic question and proceeds through design,
delivery, molecular activity and scientific
validation.
Follow the five interconnected stages that
transform a selected genetic target into
interpretable research evidence.
Research Expedition / Map 004
Five Stages / One Scientific Workflow
LOCUS / 001
ATLAS 04
01
Phase / Identification
Define the Target
Establish the biological question and identify the genetic sequence, regulatory region or mutation to investigate. Target selection provides the foundation for the entire study.
Biological objective → Genetic locus
DESIGN / 002
IN SILICO
02
Phase / Engineering
Design the Strategy
Select an appropriate editing system and evaluate its compatibility with the target and intended outcome. Consider sequence requirements, editing capabilities and specificity.
Target → Editing system
TRANSFER / 003
CELLULAR
03
Phase / Introduction
Deliver the Components
Introduce editing components into the biological model using a compatible delivery approach. Cell type, delivery efficiency and cellular responses can influence the experimental outcome.
Molecular cargo → Biological model
REACTION / 004
MOLECULAR
04
Phase / Molecular Activity
Generate the Edit
The editing machinery acts at its target. Depending on the technology, the process may involve DNA cleavage and repair, base conversion or template-directed sequence changes.
Editing activity → Molecular outcome
ANALYSIS / 005
EVIDENCE
05
Phase / Interpretation
Validate the Outcome
Confirm the intended sequence change and characterize unintended outcomes. Appropriate molecular and functional measurements help determine the reliability and biological significance of the result.
Sequence data → Scientific evidence
Beyond the molecular workflow
An edit is a molecular event. Understanding its impact is the discovery.
Once the edited genome has been characterized, researchers can investigate how the change affects biological systems, cellular behavior and experimental models.
Explore Research Applications
05 / Comparative Genome Engineering
The Molecular Decision Lab.
Different editing objectives call for different
molecular strategies. Explore how genome editing
technologies relate to the changes researchers
may wish to investigate.
Begin with the intended outcome, not the tool.
EDITGENE / MOLECULAR DECISION INSTRUMENT
RESEARCH EXPLORER
INPUT 01 / RESEARCH OBJECTIVE
What change are you investigating?
INTERPRETATION / 001
This instrument illustrates conceptual technology suitability. It does not calculate editing efficiency, predict off-target effects or replace experimental validation.
OUTPUT / TECHNOLOGY RELATIONSHIPS
COMPARATIVE VIEW
Investigating gene function through disruption.
Targeted nucleases can generate DNA breaks. Subsequent repair may introduce insertions or deletions that disrupt the coding sequence or other functional elements.
FIG 05.A / TARGETED CLEAVAGE
Editing Systems
Conceptual Relevance
CRISPR-Cas9
Targeted cleavage with repair-mediated
gene disruption
Common Approach
CRISPR-Cas12a
Alternative RNA-guided DNA nuclease
Common Approach
TALENs
Protein-guided nuclease pairs
Alternative
Research Consideration / 01
DNA cleavage may produce heterogeneous repair outcomes. An insertion or deletion does not always eliminate gene function. Sequence and functional validation are needed, along with assessment of unintended alterations.
Investigating defined nucleotide changes.
Certain editing systems can introduce targeted base substitutions without relying on a conventional DNA double-strand break.
FIG 05.B / BASE CONVERSION
Editing Systems
Conceptual Relevance
Base Editing
Selected conversions within
an editor-dependent window
Direct Approach
Prime Editing
Programmed nucleotide substitutions
Direct Approach
Cas9 + HDR
DNA repair-template strategy
Alternative
Research Consideration / 02
Conventional cytosine and adenine base editors primarily support particular transition substitutions. Prime editing supports a broader substitution spectrum, but both approaches have target-dependent efficiency, delivery and byproduct considerations.
Exploring programmed sequence rewriting.
Some genome editing approaches can introduce defined substitutions, small insertions or small deletions. The suitable strategy depends on edit size, target context and experimental system.
FIG 05.C / TEMPLATE-DIRECTED EDITING
Editing Systems
Conceptual Relevance
Prime Editing
Selected small substitutions,
insertions and deletions
Direct Approach
Cas9 + HDR
Donor-template-directed sequence repair
Alternative
Conventional Base Editing
Does not directly install arbitrary
insertions or deletions
Limited Scope
Research Consideration / 03
Conventional prime editing is particularly suited to selected small changes. Larger programmed insertions can require specialized strategies. Editing success depends on design, locus and cellular factors, and unintended outcomes must be characterized.
Investigating engineered protein-DNA recognition.
Not all programmable DNA editing technologies rely on guide RNA. Engineered DNA-binding proteins can recognize selected sequences and recruit nuclease activity.
FIG 05.D / PROTEIN-DNA TARGETING
Editing Systems
Conceptual Relevance
TALENs
Engineered TAL repeat DNA-binding domains
Direct Approach
Zinc Finger Nucleases
Engineered zinc-finger DNA recognition
Alternative
Conventional CRISPR-Cas9
Recognition directed by guide RNA
rather than a custom DNA-binding domain
Different Mode
Research Consideration / 04
TALEN and zinc-finger recognition requires target-specific protein engineering. These systems also require appropriate specificity assessment and validation of DNA cleavage and repair outcomes.
Direct or common approach
Alternative approach
Limited scope or different mechanism
“The appropriate editing strategy is determined not only by what a technology can do, but by the question a researcher needs to answer.”
Explore Applications
06 / The Living Research Gallery
Beyond the sequence.
Genome editing becomes most meaningful when
molecular changes illuminate biological questions.
From engineered cell models to plant genetics
and synthetic biology, programmable editing
technologies provide new approaches to
investigating living systems.
Explore six scientific fields where genome
engineering is contributing to research
and technological development.
Research Exhibition / Collection 006
Six Fields of Biological Exploration
Exhibit 01 / 06
Biomedical Science
01 / Disease Mechanisms
Biomedical
Biomedical
Research
Genome editing enables researchers to
investigate genetic variants associated
with disease, generate controlled
experimental models and explore the
molecular pathways underlying
pathological processes.
These approaches support fundamental
research in cancer biology, inherited
disorders and other biomedical fields.
Exhibit 02 / 06
Gene Function
02 / Genetic Networks
Functional Genomics
Pooled and targeted genetic perturbations help reveal how genes, regulatory regions and biological pathways contribute to cellular phenotypes.
Exhibit 03 / 06
Cellular Identity
03 / Cell Engineering
Stem Cell Biology
Targeted genetic changes in stem cells can support studies of development, differentiation and disease, including research using induced pluripotent stem cell models.
Exhibit 04 / 06
Plant Sciences
04 / Agricultural Biotechnology
Plant
Plant
Biotechnology
Genome editing supports research into plant development, environmental responses and traits relevant to agriculture. Scientists investigate genetic mechanisms associated with stress tolerance, growth and other plant characteristics.
Exhibit 05 / 06
Biological Design
05 / Engineered Systems
Synthetic Biology
Genetic engineering and synthetic biology intersect in the design and study of biological circuits, engineered cellular functions and programmable systems.
Exhibit 06 / 06
Future Research
06 / The Next Frontier
Emerging
Emerging
Applications
New approaches in RNA editing, epigenome engineering, precision delivery and computational design are expanding the scientific possibilities of programmable biological modification.
Curator's Note / Scientific Perspective
“The importance of genome editing lies not only in changing genetic information, but in understanding biological systems.”
From Technique to Discovery
Different research fields require different
editing strategies, biological models
and analytical methods.
Scientific progress depends on understanding
the capabilities and limitations of each
technology and interpreting experimental
outcomes within their biological context.
The visualizations above are conceptual
illustrations designed for scientific
education, not representations of
specific experimental results.
Discover how molecular editing technologies can be investigated, compared and understood across different fields of biological research.
Revisit the Technology Observatory
07 / Beyond the Edit
The
Evidence
Room.
An intended genetic modification is
only the beginning of a scientific conclusion.
What changed? Where did it change?
Did different cells respond differently?
And does the molecular result support
the expected biological function?
Enter the evidence room and examine
the questions that define reliable
genome editing research.
Investigation Principle
A detected edit is not a complete validation.
Exhibit A / Sequencing Evidence
Sequence Examination
FORREVIEW
Illustrative Chromatogram
Trace / Not Real Data
Exhibit 01 / Under Examination
The sequence changed.
The sequence changed.
What does that prove?
Sequencing can provide evidence of
molecular editing, but the interpretation
depends on the assay, sample composition
and quality of the data.
A targeted sequence result may not reveal
every unexpected alteration elsewhere
in the genome, nor does it necessarily
establish the functional consequence
of the edit.
01
Confirm the intended sequence change
with an appropriate molecular assay.
02
Evaluate potential unintended changes
and structural outcomes using
complementary methods.
03
Connect molecular evidence to
a reproducible biological phenotype
or functional measurement.
Archive / Five Lines of Evidence
Open the case files.
Each evidence file examines a distinct question in genome editing research. Select a file to discover what scientists investigate and which analytical methods can provide useful information.
E–01 On-Target Editing & Efficiency Intended Sequence
Was the intended change introduced?
On-target analysis determines whether
the selected locus contains the
expected edit and characterizes
unintended sequence outcomes
at that site.
Researchers may examine editing
frequency, the distribution of alleles
and whether the expected modification
is present in the relevant cells.
Possible Evidence
Targeted amplicon sequencing,
Sanger sequencing with appropriate
interpretation, allele-specific
assays or digital PCR.
Method choice depends on the
modification, sample composition
and required sensitivity.
E–02 Off-Target Effects Editing Specificity
Did modification occur elsewhere?
Some genome editing systems can
act at unintended genomic sites.
Potential off-target changes depend
on recognition specificity,
the editor, cellular context
and experimental conditions.
Their frequency, genomic position
and biological significance
require careful interpretation.
Possible Evidence
Computational candidate-site
prediction, empirical off-target
nomination methods such as GUIDE-seq
or CHANGE-seq, and targeted sequencing
of nominated sites.
Prediction or nomination alone
is not equivalent to confirmation
of editing in the studied cells.
E–03 Mosaicism & Cell Heterogeneity Cellular Variation
Do all cells contain the same edit?
Edited populations can contain cells
with different genotypes, including
unedited, partially edited and
differently modified alleles.
Mosaicism is particularly relevant
when editing occurs during development.
Heterogeneous cultured cell populations
may also require clonal or single-cell
characterization.
Possible Evidence
Single-cell genotyping, clonal
analysis and sequencing-based
allele distribution measurements.
Bulk sequencing can provide
population-level information,
but may not resolve the complete
genotype of each individual cell.
E–04 Genomic Integrity Structural Changes
Was the surrounding genome preserved?
Editing outcomes may extend
beyond short substitutions
or small insertions and deletions.
Some nuclease-based editing
experiments have revealed
larger deletions, rearrangements,
translocations or copy-number
alterations.
The relevance of these outcomes
depends on the editing strategy
and biological model.
Possible Evidence
Long-read or long-amplicon sequencing,
copy-number analysis, digital PCR,
karyotyping, optical genome mapping
and other structural-variant assays.
Short targeted amplicons may fail
to detect certain large genomic
changes.
E–05 Functional Validation Biological Interpretation
Did the edit produce the expected effect?
Genomic evidence and biological
function are related but distinct.
An observed sequence change
may not necessarily produce
the expected change in gene
expression, protein activity
or cellular behavior.
Functional interpretation
requires appropriate controls,
biological measurements
and reproducibility.
Possible Evidence
RNA-expression analysis,
protein measurements,
cellular phenotype assays,
independent biological replicates,
suitable controls and, when
applicable, rescue experiments.
The evidence should match
the biological question.
§07
A convincing genome editing result is built from multiple lines of evidence — not from a single positive sequence readout.
Investigation Complete / Scientific Perspective
Editing changes
Editing changes
the sequence.
Evidence gives it meaning.
Rigorous genome engineering research
considers intended outcomes,
unintended modifications,
cell-to-cell variability,
genomic integrity and
biological interpretation.
No single assay answers every
question. The strength of a
scientific conclusion depends
on the suitability, quality and
consistency of the evidence.
EditGene / Genome Atlas / 008
Scientific Knowledge Cartography
08 / Navigate the Science
The Knowledge
Constellation.
Every discovery connects to another.
Genome editing is part of a vast
scientific landscape shaped by
genetics, molecular biology,
engineering and experimental evidence.
Navigate the constellation to
explore the interconnected
disciplines behind genome science.
Scientific Domain
Knowledge Node
Conceptual Connection
Atlas 008 / Explore the Nodes
A Connected Scientific Landscape
Understanding one mechanism opens the door to another discovery.
Genome editing research is inherently
interdisciplinary. DNA repair influences
editing outcomes; molecular recognition
shapes targeting specificity; and
experimental validation determines
how those outcomes are interpreted.
Use this knowledge map to move between
foundational genetics, molecular
technologies and their wider
biological applications.
EditGene connects scientific concepts through structured educational pathways designed to support research understanding.
Discover EditGene
EditGene / Genome Atlas / Final Chapter
009 — The Gateway
09 / A New Perspective on Genome Science
Knowledge opens
the door to
discovery.
Every scientific question begins with curiosity.
Every meaningful discovery begins with
understanding.
EditGene brings together molecular principles,
genome editing technologies and research
perspectives within a connected scientific
knowledge platform.
Enter a World of Scientific Understanding
Figure 009 / Conceptual Portal
The EditGene Gateway
Three Destinations / One Scientific Platform
Where will your
curiosity lead?
Explore the scientific mission behind EditGene, deepen your understanding through educational resources, or contact the platform with an enquiry.
“The future of genome engineering begins with a deeper understanding of the science itself.”
ATLAS
009
END
009
END