In recent years, RNA interference (RNAi) therapeutics, most notably with lipid nanoparticle-based delivery systems, have advanced into human clinical trials. The results from these early clinical trials suggest that lipid nanoparticles (LNPs), and the novel ionizable lipids that comprise them, will be important materials in this emerging field of medicine. A persistent theme in the use of materials for biomedical applications has been the incorporation of biodegradability as a means to improve biocompatibility and/or to facilitate elimination. Therefore, the aim of this work was to further advance the LNP platform through the development of novel, next-generation lipids that combine the excellent potency of the most advanced lipids currently available with biodegradable functionality. As a representative example of this novel class of biodegradable lipids, the lipid evaluated in this work displays rapid elimination from plasma and tissues, substantially improved tolerability in preclinical studies, while maintaining in vivo potency on par with that of the most advanced lipids currently available.

Caspases are important in the life and death of immune cells and therefore influence immune surveillance of malignancies. We tested whether genetic variants in CASP8, CASP10 and CFLAR, three genes important for death receptor-induced cell killing residing in tandem order on chromosome 2q33, are associated with cancer susceptibility. Using a haplotype-tagging SNP approach, we identified a six-nucleotide deletion (-652 6N del) variant in the CASP8 promoter associated with decreased risk of lung cancer. The deletion destroys a stimulatory protein 1 binding site and decreases CASP8 transcription. Biochemical analyses showed that T lymphocytes with the deletion variant had lower caspase-8 activity and activation-induced cell death upon stimulation with cancer cell antigens. Case-control analyses of 4,995 individuals with cancer and 4,972 controls in a Chinese population showed that this genetic variant is associated with reduced susceptibility to multiple cancers, including lung, esophageal, gastric, colorectal, cervical and breast cancers, acting in an allele dose-dependent manner. These results support the hypothesis that genetic variants influencing immune status modify cancer susceptibility.

The panda lineage dates back to the late Miocene and ultimately leads to only one extant species, the giant panda (Ailuropoda melanoleuca). Although global climate change and anthropogenic disturbances are recognized to shape animal population demography their contribution to panda population dynamics remains largely unknown. We sequenced the whole genomes of 34 pandas at an average 4.7-fold coverage and used this data set together with the previously deep-sequenced panda genome to reconstruct a continuous demographic history of pandas from their origin to the present. We identify two population expansions, two bottlenecks and two divergences. Evidence indicated that, whereas global changes in climate were the primary drivers of population fluctuation for millions of years, human activities likely underlie recent population divergence and serious decline. We identified three distinct panda populations that show genetic adaptation to their environments. However, in all three populations, anthropogenic activities have negatively affected pandas for 3,000 years.

Functional deficiency of the FEN1 gene has been suggested to cause genomic instability and cancer predisposition. We have identified a group of FEN1 mutations in human cancer specimens. Most of these mutations abrogated two of three nuclease activities of flap endonuclease 1 (FEN1). To demonstrate the etiological significance of these somatic mutations, we inbred a mouse line harboring the E160D mutation representing mutations identified in human cancers. Selective elimination of nuclease activities led to frequent spontaneous mutations and accumulation of incompletely digested DNA fragments in apoptotic cells. The mutant mice were predisposed to autoimmunity, chronic inflammation and cancers. The mutator phenotype results in the initiation of cancer, whereas chronic inflammation promotes the cancer progression. The current work exemplifies the approach of studying the mechanisms of individual polymorphisms and somatic mutations in cancer development, and may serve as a reference in developing new therapeutic regimens through the suppression of inflammatory responses.

The primate retina contains three classes of cones, the L, M and S cones, which respond preferentially to long-, middle- and short-wavelength visible light, respectively. Colour appearance results from neural processing of these cone signals within the retina and the brain. Perceptual experiments have identified three types of neural pathways that represent colour: a red-green pathway that signals differences between L- and M-cone responses; a blue-yellow pathway that signals differences between S-cone responses and a sum of L- and M-cone responses; and a luminance pathway that signals a sum of L- and M-cone responses. It might be expected that there are neurons in the primary visual cortex with response properties that resemble these three perceptual pathways, but attempts to find them have led to inconsistent results. We have therefore used functional magnetic resonance imaging (fMRI) to examine responses in the human brain to a large number of colours. In visual cortical areas V1 and V2, the strongest response is to red-green stimuli, and much of this activity is from neurons receiving opposing inputs from L and M cones. A strong response is also seen with blue-yellow stimuli, and this response declines rapidly as the temporal frequency of the stimulus is increased. These responses resemble psychophysical measurements, suggesting that colour signals relevant for perception are encoded in a large population of neurons in areas V1 and V2.