Deconwolf enables high-performance deconvolution of widefield fluorescence microscopy images.

Microscopy-based spatially resolved omic methods are transforming the life sciences. However, these methods rely on high numerical aperture objectives and cannot resolve crowded molecular targets, limiting the amount of extractable biological information. To overcome these limitations, here we develop Deconwolf, an open-source, user-friendly software for high-performance deconvolution of widefield fluorescence microscopy images, which efficiently runs on laptop computers. Deconwolf enables accurate quantification of crowded diffraction limited fluorescence dots in DNA and RNA fluorescence in situ hybridization images and allows robust detection of individual transcripts in tissue sections imaged with ×20 air objectives. Deconvolution of in situ spatial transcriptomics images with Deconwolf increased the number of transcripts identified more than threefold, while the application of Deconwolf to images obtained by fluorescence in situ sequencing of barcoded Oligopaint probes drastically improved chromosome tracing. Deconwolf greatly facilitates the use of deconvolution in many bioimaging applications.

GPSeq reveals the radial organization of chromatin in the cell nucleus.

With the exception of lamina-associated domains, the radial organization of chromatin in mammalian cells remains largely unexplored. Here we describe genomic loci positioning by sequencing (GPSeq), a genome-wide method for inferring distances to the nuclear lamina all along the nuclear radius. GPSeq relies on gradual restriction digestion of chromatin from the nuclear lamina toward the nucleus center, followed by sequencing of the generated cut sites. Using GPSeq, we mapped the radial organization of the human genome at 100-kb resolution, which revealed radial patterns of genomic and epigenomic features and gene expression, as well as A and B subcompartments. By combining radial information with chromosome contact frequencies measured by Hi-C, we substantially improved the accuracy of whole-genome structure modeling. Finally, we charted the radial topography of DNA double-strand breaks, germline variants and cancer mutations and found that they have distinctive radial arrangements in A and B subcompartments. We conclude that GPSeq can reveal fundamental aspects of genome architecture.

iFISH is a publically available resource enabling versatile DNA FISH to study genome architecture.

DNA fluorescence in situ hybridization (DNA FISH) is a powerful method to study chromosomal organization in single cells. At present, there is a lack of free resources of DNA FISH probes and probe design tools which can be readily applied. Here, we describe iFISH, an open-source repository currently comprising 380 DNA FISH probes targeting multiple loci on the human autosomes and chromosome X, as well as a genome-wide database of optimally designed oligonucleotides and a freely accessible web interface ( http://ifish4u.org ) that can be used to design DNA FISH probes. We individually validate 153 probes and take advantage of our probe repository to quantify the extent of intermingling between multiple heterologous chromosome pairs, showing a much higher extent of intermingling in human embryonic stem cells compared to fibroblasts. In conclusion, iFISH is a versatile and expandable resource, which can greatly facilitate the use of DNA FISH in research and diagnostics.

An Application-Directed, Versatile DNA FISH Platform for Research and Diagnostics.

DNA fluorescence in situ hybridization (DNA FISH) has emerged as a powerful microscopy technique that allows a unique view into the composition and arrangement of the genetic material in its natural context-be it the cell nucleus in interphase, or chromosomes in metaphase spreads. The core principle of DNA FISH is the ability of fluorescently labeled DNA probes (either double- or single-stranded DNA fragments) to bind to their complementary sequences in situ in cells or tissues, revealing the location of their target as fluorescence signals detectable with a fluorescence microscope. Numerous variants and improvements of the original DNA FISH method as well as a vast repertoire of applications have been described since its inception more than 4 decades ago. In recent years, the development of many new fluorescent dyes together with drastic advancements in methods for probe generation (Boyle et al., Chromosome Res 19:901-909, 2011; Beliveau et al., Proc Natl Acad Sci U S A 109:21301-21306, 2012; Bienko et al., Nat Methods 10:122-124, 2012), as well as improvements in the resolution of microscopy technologies, have boosted the number of DNA FISH applications, particularly in the field of genome architecture (Markaki et al., Bioessays 34:412-426, 2012; Beliveau et al., Nat Commun 6:7147, 2015). However, despite these remarkable steps forward, choosing which type of DNA FISH sample preparation protocol, probe design, hybridization procedure, and detection method is best suited for a given application remains still challenging for many research labs, preventing a more widespread use of this powerful technology. Here, we present a comprehensive platform to help researchers choose which DNA FISH protocol is most suitable for their particular application. In addition, we describe computational pipelines that can be implemented for efficient DNA FISH probe design and for signal quantification. Our goal is to make DNA FISH a versatile and streamlined technique that can be easily implemented by both research and diagnostic labs.

Correction to: An Application-Directed, Versatile DNA FISH Platform for Research and Diagnostics.

The original version of the chapter was inadvertently published with some errors and this has been corrected now.

Genomic Correlates to the Newly Proposed Grading Prognostic Groups for Prostate Cancer.

UNLABELLED: Recommendations by the International Society of Urologic Pathology and 2016 World Health Organization blue book propose the use of a five-tiered prostate cancer (PCa) grading system. The five prognostic grade groupings (PGGs) ranging from 1 to 5 are defined as Gleason grades ≤ 6, 3 + 4, 4 + 3, 8, and > 8, respectively. Recent work suggests that each group is associated with a distinct risk of biochemical PCa recurrence. In this study, we sought genomic support for PGGs using whole-exome and whole-genome sequencing data for 426 clinically localized PCas treated by radical prostatectomy. After adjustment for tumor purity for the sequencing data, we observed a significant frequency increase in genomic amplifications and deletions (p = 0.013) and in nonsynonymous point mutations (p = 0.008) with increasing risk group. Interestingly, PGG1 (low risk) was entirely haploid, whereas PGG2-5 exhibited increasing polyploidy frequency. Principal component analysis of genomic profiles revealed that PGG1, PGG2, and PGG3 represent distinct classes, but PGG4 and PGG5 exhibit genomic similarity. Together, these observations for the largest PCa genomic data set to date provide support for increasing genomic alterations with increasing PGG. This is the first genomic correlation of the PGG system. Future work will need to explore the clinical utility of PGGs in prospective studies with long-term follow-up. PATIENT SUMMARY: Gleason grading for prostate cancer provides important information for guiding clinical care. A new proposal by leading pathologists favors translating Gleason grades into five risk categories. In this study, a comprehensive analysis of the largest genomic data set on prostate cancer to date, we demonstrate molecular support for this new five-tiered system.

Ethylene-producing bacteria that ripen fruit.

Ethylene is a plant hormone widely used to ripen fruit. However, the synthesis, handling, and storage of ethylene are environmentally harmful and dangerous. We engineered E. coli to produce ethylene through the activity of the ethylene-forming enzyme (EFE) from Pseudomonas syringae. EFE converts a citric acid cycle intermediate, 2-oxoglutarate, to ethylene in a single step. The production of ethylene was placed under the control of arabinose and blue light responsive regulatory systems. The resulting bacteria were capable of accelerating the ripening of tomatoes, kiwifruit, and apples.

Second generation imaging of nuclear/cytoplasmic HIV-1 complexes.

The ability to visualize fluorescent HIV-1 particles within the nuclei of infected cells represents an attractive tool to study the nuclear biology of the virus. To this aim we recently developed a microscopy-based fluorescent system (HIV-IN-EGFP) that has proven valid to efficiently visualize HIV-1 complexes in the nuclear compartment and to examine the nuclear import efficiency of the virus. The power of this method to investigate viral events occurring between the cytoplasmic and the nuclear compartment is further shown in this study through the analysis of HIV-IN-EGFP in cells expressing the TRIMCyp restriction factor. In these cells the HIV-IN-EGFP complexes are not detected in the nuclear compartment, while treatment with MG132 reveals an accumulation of HIV-1 complexes in the cytoplasm. However, the Vpr-mediated transincorporation strategy used to incorporate IN fused to EGFP (IN-EGFP) impaired viral infectivity. To optimize the infectivity of the HIV-IN-EGFP, we used mutated forms of IN (E11K and K186E) known to stabilize the IN complexes and to partially restore viral infectivity in transcomplementation experiments. The fluorescent particles produced with the modified IN [HIV-IN(K)EGFP_IN(E)] show almost 30% infectivity as compared to wild-type NL4.3. Detailed confocal microscopy analysis revealed that the newly generated viral particles resulted in HIV-1 complexes significantly smaller in size, thus requiring the use of brighter fluorophores for nuclear visualization [HIV-IN(K)sfGFP_IN(E)]. The second-generation visualization system HIV-IN(K)sfGFP_IN(E), in addition to allowing direct visualization of HIV-1 nuclear entry and other viral events related to nuclear import, preserves intact viral properties in terms of nuclear entry and improved infectivity.