Past exam of the systems biology course of the University of Cambridge 2024 Paper 2 2 iii Solution 2026-10-20
Imaging methods identify RNA molecules where they remain in the fixed specimen, rather than recovering their position through a sequencing-library address. Their common foundation is sequence-specific oligonucleotide probe binding and repeated fluorescence microscopy.
In single-molecule fluorescence in situ hybridization, many short complementary probes bind one transcript. Their combined fluorescence produces a detectable spot that can be localized and counted. Multiple probes make an individual bound molecule distinguishable from isolated-probe background. Conventional colour channels limit how many transcript species can be distinguished in one image, and overlapping spots make abundant targets difficult to count.
MERFISH. Encoding probes bind each target RNA and expose selected readout sequences. Across successive hybridization and imaging rounds, fluorescent readout probes interrogate those sequences, producing an on/off code at each molecular position. The code identifies the transcript. The codebook is designed with separation between valid words so that some missing or spurious signals can be detected and, for suitable codes, corrected. Fiducials and image registration keep the same molecule aligned across rounds. This multiplexes many targets without needing one physically separate fluorescence colour for each gene.[ref]
Spatially resolved, highly multiplexed RNA profiling in single cells by Kok Hao Chen and others. Results, encoding scheme and error-robust barcodes; Figs. 1–3
seqFISH and seqFISH+. Successive probe hybridization rounds encode a transcript through a sequence of detected colours. The expanded seqFISH+ strategy distributes targets among many pseudocolour states, so each round contains only a sparse subset of the total signals. This reduces optical crowding and makes a much larger target set readable on an ordinary confocal microscope. The original seqFISH+ study profiled about 10,000 genes in mouse brain tissue and examined both cellular organization and subcellular expression patterns.[ref]
Transcriptome-scale super-resolved imaging in tissues by RNA seqFISH+ by Chee-Huat Linus Eng and others. Abstract; Figs. 1–4, pseudocolours, optical crowding and tissue organization
These are two distinct multiplexing implementations, although both build on repeated in situ probe readout. Their performance depends on probe specificity, the codebook, stripping or inactivation of previous signals, retention of RNA, registration across rounds and the density of simultaneously visible spots. Imaging many rounds can be slow, and tissue autofluorescence or poor probe penetration can obscure molecules.
Finally, use nuclear and membrane information for cell segmentation, with checks for errors at touching cells and tissue boundaries. A precise molecular coordinate does not guarantee correct cell assignment. Negative or unused codes and independent probes help estimate false calls; biological replicates establish whether a spatial pattern is reproducible.
Past exam of the systems biology course of the University of Cambridge 2024 Paper 2 2 iv Solution 2026-10-20
The distinction is principally molecular readout by sequencing versus molecular readout by imaging; it does not impose one universal ranking of sensitivity or spatial resolution.
| Issue | Sequencing-based spatial transcriptomics | Imaging-based spatial transcriptomics |
|---|---|---|
| Target breadth | Many capture assays survey broad polyadenylated RNA without a fixed gene panel. | Probe-based assays usually require a designed target set, though seqFISH+ and MERFISH can be highly multiplexed. |
| Spatial information | Positions are capture features or beads; some collect mixtures of cells. | Individual molecular coordinates and subcellular distributions can be retained. |
| Sensitivity and bias | Capture, reverse transcription and library sampling lose molecules; amplification and diffusion add bias. | Probe accessibility, optical crowding, autofluorescence and decoding errors determine detection. |
| Resources | Requires sequencing capacity and barcode-aware analysis. | Requires extensive imaging, repeated fluidics, registration and image storage. |
| Cell assignment | Mixed features may need statistical estimation using reference cell profiles. | Usually needs explicit cell segmentation, which can misassign otherwise well-localized molecules. |
For discovery of unexpected gene expression programmes across a large section, broad sequencing-based capture is attractive. To test where selected transcripts lie within cells or precisely map a known anatomical niche, molecular imaging is attractive. Neither implies that every transcript is measured, and a nominal spot size should not be confused with biological assignment accuracy.
A productive study can combine broad discovery with targeted spatial validation on independent sections. Compare effective detection, tissue area, resolution, cost and replicate count for the specific implementations available, rather than treating all sequencing assays as coarse and all imaging assays as low-plex. Cells or capture spots from one donor are not substitutes for independent biological replicates.