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Julian, B.

Publications and source records attributed to Julian, B..

2 recordsLinked to original sources

Cervical gene delivery of the antimicrobial peptide, Human β-defensin (HBD)-3, in a mouse model of ascending infection-related preterm birth

Approximately 40% of preterm births are preceded by microbial invasion of the intrauterine space: ascent from the vagina is the most common pathway. Within the cervical canal, antimicrobial peptides and proteins (AMPs) help to constitute a barrier which prevents ascending infection. We investigated whether expression of the AMP, human {beta}-defensin-3 (HBD3), in the cervical mucosa prevented bacterial ascent from the vagina into the uterine cavity of pregnant mice. An adeno-associated virus vector containing both the HBD3 gene and GFP transgene (AAV8 HBD3.GFP) or control (AAV8 GFP), was administered intravaginally into E13.5 pregnant mice. Ascending infection was induced at E16.5 using bioluminescent E.coli (E.coli K1 A192PP-lux2). Bioluminescence imaging showed bacterial ascent into the uterine cavity, cellular events that led to premature delivery and a reduction in pups born alive, compared with uninfected controls. In addition, a significant reduction in uterine bioluminescence in the AAV8 HBD3.GFP-treated mice was observed 24 hours post-E.coli infection, compared to AAV8 GFP treated mice, signifying reduced bacterial ascent in AAV8 HBD3.GFP-treated mice. There was also an increase in the number of living pups in AAV HBD3.GFP-treated mice. We propose that HBD3 may be considered a possible candidate for augmenting cervical innate immunity to prevent ascending infection-related preterm birth.

immunology↗

A Next Generation Connectivity Map: L1000 Platform And The First 1,000,000 Profiles

We previously piloted the concept of a Connectivity Map (CMap), whereby genes, drugs and disease states are connected by virtue of common gene-expression signatures. Here, we report more than a 1,000-fold scale-up of the CMap as part of the NIH LINCS Consortium, made possible by a new, low-cost, high throughput reduced representation expression profiling method that we term L1000. We show that L1000 is highly reproducible, comparable to RNA sequencing, and suitable for computational inference of the expression levels of 81% of non-measured transcripts. We further show that the expanded CMap can be used to discover mechanism of action of small molecules, functionally annotate genetic variants of disease genes, and inform clinical trials. The 1.3 million L1000 profiles described here, as well as tools for their analysis, are available at https://clue.io.\n\nHIGHLIGHTSO_LIA new gene expression profiling method, L1000, dramatically lowers cost\nC_LIO_LIThe Connectivity Map database now includes 1.3 million publicly accessible L1000 perturbational profiles\nC_LIO_LIThis expanded Connectivity Map facilitates discovery of small molecule mechanism of action and functional annotation of genetic variants\nC_LIO_LIThe work establishes feasibility and utility of a truly comprehensive Connectivity Map\nC_LI

genomics↗