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Biology subjects

Slattery, S.

Publications and source records attributed to Slattery, S..

2 recordsLinked to original sources

Multiplex Gene Editing Suppresses Random Integration of Hepatitis B Virus DNA in Chronically Infected Liver

Gene editing technologies have opened the possibility of directly targeting viral DNA in therapeutic applications. In chronically infected hepatocytes with hepatitis B virus (HBV), covalently closed circular DNA (cccDNA) serves as the master template for viral transcripts and gene products. In the present study, we evaluated the outcomes of anti-HBV multiplex gene editing with the CRISPR-Cas9 endonuclease from Staphylococcus aureus (SaCas9) using primary human hepatocytes (PHHs) and HBV mouse models. Nonviral delivery of SaCas9-encoding mRNA and a pair of HBV-targeting guide RNAs (gRNAs) substantially reduced viral biomarkers and intrahepatic HBV DNA copies in vitro and in vivo, suggesting that fragmentation of HBV DNA primarily leads to its degradation. Hybridization capture sequencing analyses indicated that small insertions and deletions (indels) and structural variants including excisions and inversions of the viral sequences were accumulated in the residual HBV DNA. These assays also demonstrated that transient expression of the HBV-targeting SaCas9 significantly suppressed random integration of HBV DNA, while this therapeutic approach was unlikely to affect chromosomal translocations involving viral copies. Taken together, our results suggest that anti-HBV multiplex gene editing eliminates viral DNA from chronically infected hepatocytes, potentially reducing the risk of hepatocarcinogenesis associated with HBV DNA integration.

bioengineering↗

Correcting artifacts in ratiometric biosensor imaging; an improved approach for dividing noisy signals

The accuracy of biosensor ratio imaging is limited by signal/noise. Signals can be weak when biosensor concentrations must be limited to avoid cell perturbation. This can be especially problematic in imaging of low volume regions, e.g., along the cell edge. The cell edge is an important imaging target in studies of cell motility. We show how the division of fluorescence intensities with low signal-to-noise at the cell edge creates specific artifacts due to background subtraction and division by small numbers, and that simply improving the accuracy of background subtraction cannot address these issues. We propose a new approach where, rather than simply subtracting background from the numerator and denominator, we subtract a noise correction factor (NCF) from the numerator only. This NCF can be derived from the analysis of noise distribution in the background near the cell edge or from ratio measurements in the cell regions where signal-to-noise is high. We test the performance of the method first by examining two noninteracting fluorophores distributed evenly in cells. This generated a uniform ratio that could provide a ground truth. We then analyzed actual protein activities reported by a single chain biosensor for the guanine exchange factor Asef, and a dual chain biosensor for the GTPase Cdc42. The reduction of edge artifacts revealed persistent Asef activity in a narrow band ([~]640 nm wide) immediately adjacent to the cell edge. For Cdc42, the NCF method revealed an artefact that would have been obscured by traditional background subtraction approaches.

cell biology↗