In Situ Sequencing (ISS) is a method for directly reading out the sequence of RNA transcripts within preserved tissue by performing rolling circle amplification and sequencing-by-ligation on-site. Unlike sequencing-based spatial methods that capture barcodes, ISS generates fluorescent signals corresponding to nucleotide incorporation events directly over the transcript's physical location, achieving subcellular resolution.
Glossary
In Situ Sequencing (ISS)

What is In Situ Sequencing (ISS)?
In situ sequencing (ISS) is a targeted spatial transcriptomics method that directly reads the nucleotide sequence of RNA transcripts within preserved tissue sections by performing rolling circle amplification and sequencing-by-ligation on-site.
The core workflow involves fixing tissue, reverse transcribing mRNA, and using padlock probes that circularize upon target recognition. These circular DNA templates are clonally amplified via rolling circle amplification (RCA), forming nanoball amplicons. Sequencing-by-ligation chemistry then iteratively queries short nucleotide stretches, decoding the transcript identity while preserving its spatial coordinates within the tissue architecture.
Key Features of ISS
In Situ Sequencing delivers subcellular resolution and direct nucleotide-level readout, distinguishing it from hybridization-based spatial methods.
Targeted vs. Untargeted ISS
ISS workflows bifurcate into two distinct strategies:
- Targeted ISS: Uses padlock probes designed against a pre-selected panel of genes (typically 100-300). This provides higher sensitivity for known transcripts and is the standard for applications like Cartana (10x Genomics) and HybISS.
- Untargeted ISS: Captures the entire polyadenylated transcriptome using random primers, enabling true discovery without prior gene selection. This approach, exemplified by FISSEQ, trades sensitivity for breadth.
Rolling Circle Amplification (RCA)
The foundational signal amplification step that makes single-molecule detection possible:
- A circular DNA template is localized to the transcript.
- A phi29 DNA polymerase generates a long, tandem-repeat concatemer (RCP) covalently anchored to the target site.
- This creates a diffraction-limited fluorescent spot containing hundreds to thousands of identical sequence copies, boosting the signal-to-noise ratio sufficiently for microscopy-based detection.
Sequencing-by-Ligation (SBL)
ISS reads nucleotide identity through iterative ligation rather than polymerase extension:
- Fluorescently labeled, degenerate nonamer probes are hybridized and ligated to an anchor primer.
- Each probe queries a single base position with a specific fluorophore.
- After imaging, the fluorophore and a portion of the probe are cleaved, resetting the strand for the next cycle.
- This chemistry avoids homopolymer errors common to sequencing-by-synthesis and is optimized for short reads (4-6 bases) sufficient for gene identification.
Barcode-Based Gene Identification
Gene identity is decoded from short, gene-specific barcode sequences rather than full transcript reconstruction:
- A 4-base barcode sequence can theoretically distinguish 256 genes; 6 bases can resolve over 4,000.
- Error-correcting barcodes (e.g., Hamming distance codes) are employed to mitigate single-base sequencing errors.
- The barcode readout is matched against a reference library to assign each fluorescent spot to a specific gene, enabling simultaneous identification of hundreds of transcripts in a single cycle.
Subcellular Resolution
ISS achieves true single-molecule resolution, localizing transcripts to their precise subcellular coordinates:
- Individual RCPs are resolved as discrete, punctate spots using high-NA objectives.
- This enables analysis of RNA localization to specific organelles, dendrites, or cellular compartments.
- Unlike spot-based capture methods (e.g., Visium), ISS can distinguish transcripts in adjacent cells and even within different regions of the same cell, revealing spatial dynamics of splicing and trafficking.
Multiplexed Fluorescence Imaging
The sequential imaging chemistry enables high multiplexing within a single tissue section:
- Each sequencing cycle images 4 channels (one per base: A, C, G, T).
- After imaging, a chemical stripping or photocleavage step removes the fluorophores.
- This cycle repeats for each base position in the barcode.
- The result is a multi-channel, multi-cycle image stack where each spot's color sequence across cycles reveals its gene identity, enabling hundreds of genes to be mapped simultaneously.
ISS vs. Other Spatial Transcriptomics Methods
A feature-level comparison of In Situ Sequencing against other widely used spatial transcriptomics technologies for tissue-based gene expression mapping.
| Feature | In Situ Sequencing (ISS) | Spatial Barcoding (Visium) | In Situ Hybridization (MERFISH) |
|---|---|---|---|
Spatial Resolution | Subcellular (0.2-0.5 µm) | Multi-cellular spots (55 µm) | Subcellular (0.1-0.3 µm) |
Transcriptome Coverage | Targeted (100-300 genes) | Whole transcriptome (20,000+ genes) | Targeted (100-10,000 genes) |
Detection Principle | Sequencing-by-ligation on amplified cDNA | Poly-A capture + NGS sequencing | Combinatorial smFISH barcoding |
Single-Molecule Sensitivity | |||
Tissue Morphology Preservation | High (direct in situ readout) | Moderate (permeabilization required) | High (direct hybridization) |
Throughput per Sample | Moderate (hours per run) | High (parallel NGS workflow) | High (multiplexed imaging) |
Detection Efficiency | 15-30% | 10-20% | 30-50% |
Requires Specialized Instrumentation |
Frequently Asked Questions
Clear, technically precise answers to the most common questions about the mechanisms, applications, and computational analysis of in situ sequencing.
In situ sequencing (ISS) is a spatial transcriptomics method that directly reads out the nucleotide sequence of RNA transcripts within preserved tissue sections. The process begins by fixing and permeabilizing tissue, then using gene-specific padlock probes that hybridize to target mRNA. Upon hybridization, a DNA ligase circularizes the probe, creating a template for rolling circle amplification (RCA). This amplification produces a localized, clumped DNA molecule called a rolling circle product (RCP) at the transcript's original location. The sequence of the RCP is then decoded through sequencing-by-ligation (SBL), where fluorescently labeled interrogation probes bind and are imaged over multiple cycles. The resulting color sequences are decoded to identify the gene and its spatial coordinates, achieving subcellular resolution.
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Related Terms
Explore the core concepts that underpin In Situ Sequencing and its role in the spatial biology ecosystem.
Rolling Circle Amplification (RCA)
The foundational molecular biology step that enables ISS. A circular DNA template is amplified by a polymerase, generating a long, tandem-repeat single-stranded DNA concatemer. This localized amplification creates a nanoball of clonal DNA tethered to the target transcript, physically anchoring the signal and providing sufficient mass for optical detection during sequencing-by-ligation.
Sequencing-by-Ligation (SBL)
The chemistry used to read out the nucleotide sequence directly within the tissue. Unlike sequencing-by-synthesis, SBL uses a ligase enzyme to join fluorescently labeled probes of known bases to an anchor primer. Each cycle interrogates a subset of bases, and the process is repeated to build the full sequence. This method offers high single-base accuracy for short reads.
Padlock Probes
Highly specific, linear oligonucleotides that circularize only upon perfect hybridization to their target RNA sequence. This dual-recognition mechanism—where both probe ends must bind adjacently—provides single-nucleotide specificity, enabling the discrimination of splice variants and point mutations directly in situ. The resulting DNA circle serves as the template for RCA.
Spatial Deconvolution
A computational method critical for interpreting lower-resolution spatial data. When a measurement spot contains multiple cells, deconvolution algorithms estimate the cell-type proportions within that spot by referencing a single-cell RNA-seq atlas. This is unnecessary for ISS, which provides true single-cell resolution, but is a key analytical step for array-based spatial technologies.

About the author
Prasad Kumkar
CEO & MD, Inference Systems
Prasad Kumkar is the CEO & MD of Inference Systems and writes about AI systems architecture, LLM infrastructure, model serving, evaluation, and production deployment. Over 5+ years, he has worked across computer vision models, L5 autonomous vehicle systems, and LLM research, with a focus on taking complex AI ideas into real-world engineering systems.
His work and writing cover AI systems, large language models, AI agents, multimodal systems, autonomous systems, inference optimization, RAG, evaluation, and production AI engineering.
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