• We developed a conceptually novel genome-wide method named Genomic loci Positioning by Sequencing or GPSeq (
https://doi.org/10.1038/s41587-020-0519-y(opens in new window)) which allows us to create genome-wide maps of the radial placement of DNA in the cell nucleus. We have now applied GPSeq to create first-ever high-resolution radial maps of DNA in variety of human and mouse cell lines, as well as in unicellular organisms such as S. cerevisiae and P. falciparum.
• Together with GPSeq, we developed an advanced software, named Chromflock (
https://doi.org/10.1038/s41587-020-0519-y(opens in new window)) for simulating how the 3D genome structure might look like in single cells. Using Chromflock, we were able to study how different chromosomes might be positioned along the nuclear radius in single nuclei.
• In parallel to sequencing methods, in GENOMIS we also developed a variety of DNA/RNA fluorescence in situ hybridization (FISH) methods to visualize DNA loci, chromosomal topologies, or individual transcript molecules, potentially in thousands of single cells. Specifically:
1. We developed iFISH (
https://doi.org/10.1038/s41467-019-09616-w(opens in new window)) a freely available platform for designing and producing oligonucleotide-based DNA and RNA FISH probes. By applying iFISH to a variety of human and mouse cell lines, we were able to identify, among other features, different shapes and spatial arrangements of chromosomes or specific sub-chromosomal regions, discovering an intriguing pattern of high inter-chromosome admixture in human embryonic stem cells.
2. We developed FRET-FISH (
https://doi.org/10.1038/s41467-022-34183-y(opens in new window)) an innovative method combining DNA FISH with fluorescence resonance energy transfer (FRET) to probe the compaction of chromatin at defined DNA loci. Using FRET-FISH, we were able to detect, for the first time, inter-allelic differences in chromatin compaction within the same cell and study relationship between DNA compaction and accessibility.
3. Lastly, we developed Deconwolf (
https://deconwolf.fht.org/(opens in new window)) a freely available, user-friendly, highly computationally efficient software for deconvolution of any type of fluorescence microscopy image. In particular, we demonstrated that Deconwolf can greatly improve the resolution and amount of information that can be extracted from images obtained with high-throughput FISH and spatial omics assays, such as in situ spatial transcriptomics and OligoFISSEQ.