Review of machine learning for lipid nanoparticle formulation and process development.

Lipid nanoparticles (LNPs) are a subset of pharmaceutical nanoparticulate formulations designed to encapsulate, stabilize, and deliver nucleic acid cargoes in vivo. Applications for LNPs include new interventions for genetic disorders, novel classes of vaccines, and alternate modes of intracellular delivery for therapeutic proteins. In the pharmaceutical industry, establishing a robust formulation and process to achieve target product performance is a critical component of drug development.

Functional outcome of B cell activation by chromatin immune complex engagement of the B cell receptor and TLR9.

We have previously shown that rheumatoid factors produced by Fas-deficient autoimmune-prone mice typically bind autologous IgG2a with remarkably low affinity. Nevertheless, B cells representative of this rheumatoid factor population proliferate vigorously in response to IgG2a/chromatin immune complexes through a mechanism dependent on the sequential engagement of the BCR and TLR9. To more precisely address the role of both receptors in this response, we analyzed the signaling pathways activated in AM14 B cells stimulated with these complexes.

DNA and RNA autoantigens as autoadjuvants.

AM14 B cells are a prototype for those low affinity autoreactive B cells that routinely mature as naïve cells in peripheral lymphoid tissues. These cells express a transgene-encoded receptor specific for IgG2a and can be effectively activated by immune complexes that incorporate either mammalian DNA or mammalian RNA that has been released from dead or dying cells. Activation depends on the ability of the B-cell receptor to deliver antigen to an internal vesicular compartment containing either Toll-like receptor-9 (TLR9) or TLR7.

RNA-associated autoantigens activate B cells by combined B cell antigen receptor/Toll-like receptor 7 engagement.

Previous studies (Leadbetter, E.A., I.

Comparison of CpG s-ODNs, chromatin immune complexes, and dsDNA fragment immune complexes in the TLR9-dependent activation of rheumatoid factor B cells.

Synthetic single-stranded oligodeoxynucleotides (15-30 bp) containing CpG motifs and phosphorothioate backbones (CpG s-ODN), immune complexes consisting of anti-nucleosome mAbs and mammalian chromatin (chromatin IC), and immune complexes consisting of anti-hapten mAbs and haptenated-double stranded DNA fragments ( approximately 600 bp) can all effectively stimulate transgenic B cells expressing a rheumatoid factor receptor by a TLR9-dependent process. However, differential sensitivity to both s-ODN and small molecule inhibitors suggests that stimulatory CpG sODN and chromatin IC may either access TLR9 via different routes or depend on discrete activation parameters. These data have important implications regarding the therapeutic application of TLR9 inhibitors to the treatment of systemic autoimmune diseases.

Activation of autoreactive B cells by CpG dsDNA.

The proliferative response of autoreactive rheumatoid factor (RF) B cells to mammalian chromatin-containing immune complexes (ICs) results from the sequential engagement of the B cell receptor (BCR) and Toll-like receptor 9 (TLR9). We have used ICs constructed from anti-hapten antibodies and defined haptenated dsDNA fragments to determine the form of mammalian DNA that mediates this process. Despite their relatively low abundance in mammalian DNA, we found that inclusion of hypomethylated CpG motifs in these ICs was necessary for effective activation.

Work measurement for estimating food preparation time of a bioregenerative diet.

During space missions, such as the prospective Mars mission, crew labor time is a strictly limited resource. The diet for such a mission (based on crops grown in a bioregenerative life support system) will require astronauts to prepare their meals essentially from raw ingredients. Time spent on food processing and preparation is time lost for other purposes.

Clonotype tracking of TCR repertoires during chronic virus infections.

Human viral infections such as HIV and EBV typically evoke a strong and diverse CD8(+) T cell response. Relatively little is known about the extent to which TCR repertoire evolution occurs during viral infection or how repertoire evolution affects the efficacy of the CD8(+) T cell response. In this study we describe a general approach for tracking TCR repertoire evolution during viral infection.