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Sheng, J.

Publications and source records attributed to Sheng, J..

3 recordsLinked to original sources

Molecular basis for the acid initiated uncoating of human enterovirus D68

Enterovirus D68 (EV-D68) belongs to a group of enteroviruses that contain a single positive-sense RNA genome surrounded by an icosahedral capsid. Like common cold viruses, EV-D68 mainly causes respiratory infections and is acid labile. The molecular mechanism by which the acid sensitive EV-D68 virions uncoat and deliver their genome into a host cell is unknown. Using cryo-electron microscopy (cryo-EM), we have determined the structures of the full native virion and an uncoating intermediate (the A(altered)-particle) of EV-D68 at 2.2 [A] and 2.7 [A] resolution. These structures showed that acid treatment of EV-D68 leads to particle expansion, externalization of the viral protein VP1 N-termini from the capsid interior, and formation of pores around the icosahedral two-fold axes through which the viral RNA can exit. Moreover, because of the low stability of EV-D68 at neutral pH, cryo-EM analyses of a mixed population of particles demonstrated the involvement of multiple structural intermediates during virus uncoating. Among these, a previously undescribed state, the expanded (\"E1\") particle, shows a majority of internal regions (e.g, the VP1 N-termini) to be ordered as in the full native virion. Thus, the E1 particle acts as an intermediate in the transition from full native virions to A-particles. Molecular determinants, including a histidine-histidine pair near the two-fold axes, were identified that facilitate this transition under acidic conditions. Thus, the present work delineates the pathway of EV-D68 uncoating and provides the molecular basis for the acid lability of EV-D68 and of the related common cold viruses.\n\nSignificance StatementEnterovirus D68 (EV-D68) is an emerging pathogen that primarily causes childhood respiratory infections and is linked to neurological diseases. It was unclear how the virus uncoats and delivers its genome into a host cell to establish viral replication. Using high resolution cryo-electron microscopy, we showed that acid induces structural rearrangements of EV-D68 to initiate genome release from the virus. Structural analyses delineated a viral uncoating pathway that involves multiple distinct conformational states. Particularly, the structure of a previously unknown uncoating intermediate enabled the identification of molecular determinants that facilitate EV-D68 uncoating in an acidic environment. These results advance the knowledge of cell entry of EV-D68 and open up possibilities for developing antiviral therapeutics that impede structural rearrangements of the virus.

microbiology

An Optically Decodable Bead Array for Linking Imaging and Sequencing with Single-Cell Resolution

Optically decodable beads link the identity of an analyte or sample to a measurement through an optical barcode, enabling libraries of biomolecules to be captured on beads in solution and decoded by fluorescence. This approach has been foundational to microarray, sequencing, and flow-based expression profiling technologies. We have combined microfluidics with optically decodable beads to link phenotypic analysis of living cells to sequencing. As a proof-of-concept, we applied this to demonstrate an accurate and scalable tool for connecting live cell imaging to single-cell RNA-Seq called Single Cell Optical Phenotyping and Expression (SCOPE-Seq).

systems biology

Data-Driven Prediction of CRISPR-Based Transcription Regulation for Programmable Control of Metabolic Flux

Multiplex and multi-directional control of metabolic pathways is crucial for metabolic engineering to improve product yield of fuels, chemicals, and pharmaceuticals. To achieve this goal, artificial transcriptional regulators such as CRISPR-based transcription regulators have been developed to specifically activate or repress genes of interest. Here, we found that by deploying guide RNAs to target on DNA sites at different locations of genetic cassettes, we could use just one synthetic CRISPR-based transcriptional regulator to simultaneously activate and repress gene expressions. By using the pairwise datasets of guide RNAs and gene expressions, we developed a data-driven predictive model to rationally design this system for fine-tuning expression of target genes. We demonstrated that this system could achieve programmable control of metabolic fluxes when using yeast to produce versatile chemicals. We anticipate that this master CRISPR-based transcription regulator will be a valuable addition to the synthetic biology toolkit for metabolic engineering, speeding up the \"design-build-test\" cycle in industrial biomanufacturing as well as generating new biological insights on the fates of eukaryotic cells.

synthetic biology