Biology subjects

Cattoni, D. I.

Publications and source records attributed to Cattoni, D. I..

3 recordsLinked to original sources

bioRxiv2022

Evaluating and mitigating clinical samples matrix effects on TX-TL cell-free performance

Cell-free biosensors are promising tools for medical diagnostics, yet their performance can be affected by matrix effects arising from the sample itself or from external components. Here we systematically evaluate the performance and robustness of cell-free systems in serum, plasma, urine, and saliva using two reporter systems, sGFP and luciferase. In all cases, clinical samples have a strong inhibitory effect. Of different inhibitors, only the RNase inhibitor mitigated matrix effects. However, we found that the recovery potential of RNase inhibitor was partially muted by interference from glycerol contained in the commercial buffer. We solved this issue by designing a strain producing an RNase inhibitor protein requiring no additional step in extract preparation. Furthermore, our new extract yielded higher reporter levels than previous conditions and tempered interpatient variability associated with matrix effects. This systematic evaluation and improvements of cell-free system robustness unified across many types of clinical samples is a significant step towards developing cell-free diagnostics for a wide range of conditions.

synthetic biology↗

bioRxiv2018

Microscopy-based chromosome conformation capture enables simultaneous visualization of genome organization and transcription in intact organisms

Eukaryotic chromosomes are organized in multiple scales, from nucleosomes to chromosome territories. Recently, genome-wide methods identified an intermediate level of chromosome organization, topologically associating domains (TADs), that play key roles in transcriptional regulation. However, these methods cannot directly examine the interplay between transcriptional activation and chromosome organization while maintaining spatiotemporal information. Here, we present a multiplexed, sequential imaging approach (Hi-M) that permits the simultaneous detection of chromosome organization and transcription in single nuclei. We used Hi-M to study chromosome organization during the awakening of the zygotic genome in intact Drosophila embryos. By visualizing chromosome architecture and gene expression simultaneously in single nuclei, we were able to unveil the changes in 3D chromatin organization occurring upon transcriptional activation and homologous chromosome un-pairing. Excitingly, the ability of Hi-M to explore the multi-scale chromosome architecture in time and space will be key to understand the mechanisms and consequences of the 4D organization of the genome.

cell biology↗

bioRxiv2017

Single-cell absolute contact probability detection reveals that chromosomes are organized by modulated stochasticity

At the kilo- to mega-base pair scales, eukaryotic genomes are partitioned into self-interacting modules or topologically associated domains (TADs) that associate to form nuclear compartments. Here, we combined high-content super-resolution microscopies with state-of-the-art DNA labeling methods to reveal the variability in the multiscale organization of the Drosophila genome. We found that association frequencies within TADs and between TAD borders are below ~10%, independently of TAD size, epigenetic state, or cell type. Critically, despite this large heterogeneity, we were able to visualize nanometer-sized epigenetic domains at the single-cell level. In addition, absolute contact frequencies within and between TADs were to a large extent defined by genomic distance, higher-order chromosome architecture, and epigenetic identity. We propose that TADs and compartments are organized by multiple, small frequency, yet specific interactions that are regulated by epigenetics and transcriptional state.

biophysics↗