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Cancer is driven by genomic alterations, but the processes causing this disease are largely performed by proteins. However, proteins are harder and more expensive to measure than genes and transcripts. To catalyze developments of methods to infer protein levels from other omics measurements, we leveraged crowdsourcing via the NCI-CPTAC DREAM proteogenomic challenge. We asked for methods to predict protein and phosphorylation levels from genomic and transcriptomic data in cancer patients. The best performance was achieved by an ensemble of models, including as predictors transcript level of the corresponding genes, interaction between genes, conservation across tumor types, and phosphosite proximity for phosphorylation prediction. Proteins from metabolic pathways and complexes were the best and worst predicted, respectively. The performance of even the best-performing model was modest, suggesting that many proteins are strongly regulated through translational control and degradation. Our results set a reference for the limitations of computational inference in proteogenomics. A record of this paper's transparent peer review process is included in the Supplemental Information.

Unintended pregnancy and abortion estimates document trends in sexual and reproductive health and autonomy. These estimates inform and motivate investment in global health programmes and policies. Variability in the availability and reliability of data poses challenges for measuring and monitoring trends in unintended pregnancy and abortion. We developed a new statistical model that jointly estimated unintended pregnancy and abortion that aimed to better inform efforts towards global equity in sexual and reproductive health and rights.

We developed a model that simultaneously estimated incidence of unintended pregnancy and abortion within a Bayesian framework. Data on pregnancy intentions and abortion were compiled from country-based surveys, official statistics, and published studies found through a literature search, and we obtained data on livebirths from the World Population Prospects. We analysed results by World Bank income groups, Sustainable Development Goal regional groupings, and the legal statuion (HRP), and The Bill & Melinda Gates Foundation.The coexistence of GLA (Pro259Ser, c.775C>T) and MYBPC3 (c.1351+2T>C) mutations was found in a female patient with hypertrophic cardiomyopathy. Histology documented abundant vacuolisation with osmiophilic lamellar bodies and positive Gb3 immunohistochemistry. In the presence of a hypertrophic cardiomyopathy phenotype, the systematic search for unusual findings is mandatory to rule out a phenocopy.

To analyze baseline clinical and imaging risk factors associated with poor outcome in patients with tubercular serpiginous-like choroiditis (TB SLC).

Retrospective clinical study.

Charts and fundus photographs of consecutive patients with active TB SLC seen at a single tertiary referral center with 6months follow-up after initiation of treatment were reviewed. see more Logistic mixed models were performed to determine the clinical and imaging factors associated with the response to therapy, including the opacity of choroiditis graded according to a 3-point scale.

This study included 203 eyes of 183 patients with active TB SLC. Poor initial best-corrected visual acuity (BCVA) and foveal and optic disc involvement were associated with poor response to therapy at 6months (odds ratio [OR] 4.489, 95% confidence interval [CI] 1.92-10.47; P = .001; OR 2.892, 95% CI 1.23-6.81; P= .015; OR 11.633, 95% CI 3.17-42.71; P < .001, respectively). The high opacity grades (2 and 3) were also associated with poor outcomes OR 9.541; 95% CI 2.94-30.91; P= .001). Poor baseline BCVA and high grade of opacity of the lesions were the composite risk factors for paradoxical worsening of TB SLC (OR 7.555, 95% CI 1.78-32.02; P= 0.006; OR 7.434, 95% CI 1.34-41.18; P =0.021, respectively).

TB SLC with higher grades of lesion opacity at baseline may be associated with greater risk of poor therapeutic response and paradoxical worsening. Grading of baseline lesion opacity may be used in future prospective studies to predict the biological behavior of the lesions and may serve as a guide to therapeutic interventions.

TB SLC with higher grades of lesion opacity at baseline may be associated with greater risk of poor therapeutic response and paradoxical worsening. Grading of baseline lesion opacity may be used in future prospective studies to predict the biological behavior of the lesions and may serve as a guide to therapeutic interventions.Immunotherapy utilizing induced pluripotent stem cell (iPSC) technology has great potential. Functionally rejuvenated cytotoxic T lymphocytes (CTLs) can survive long-term as young memory T cells in vivo, with continuous tumor eradication. Banking of iPSCs as an unlimited "off-the-shelf" source of therapeutic T cells may be feasible. To generate safer iPSCs, we reprogrammed human papilloma virus type 16 (HPV16) E6-specific CTLs by Sendai virus vector without cotransduction of SV40 large T antigen. The iPSCs efficiently differentiated into HPV16-specific rejuvenated CTLs that demonstrated robust cytotoxicity against cervical cancer. The tumor-suppressive effect of rejuvenated CTLs was stronger and more persistent than that of original peripheral blood CTLs. These rejuvenated HPV16-specific CTLs provide a sustained tumor-suppressive effect even for epithelial cancers and constitute promising immunotherapy for cervical cancer.Sphingomyelin (SM), a major component of small domains (or lipid rafts) in mammalian cell membranes, forms a liquid-ordered phase in the presence of cholesterol (Cho). However, the nature of molecular interactions within the ordered SM/Cho phase remains elusive. We previously revealed that stearoyl-SM (SSM) and its enantiomer (ent-SSM) separately form nano-subdomains within the liquid-ordered phase involving homophilic SSM-SSM and ent-SSM-ent-SSM interactions. In this study, the details of the subdomain formation by SSMs at the nanometer range were examined using Förster resonance energy transfer (FRET) measurements in lipid bilayers containing SSM and ent-SSM, dioleoyl-phosphatidylcholine and Cho. Although microscopy detected a stereochemical effect on partition coefficient favoring stereochemically homophilic interactions in the liquid-ordered state, it showed no significant difference in large-scale liquid-ordered domain formation by the two stereoisomers. In contrast to the uniform domains seen microscopy, FRET analysis using fluorescent donor- and acceptor-labeled SSM showed distinct differences in SM and ent-SM colocalization within nanoscale distances. Donor- and acceptor-labeled SSM showed significantly higher FRET efficiency than did donor-labeled SSM and acceptor-labeled ent-SSM in lipid vesicles composed of "racemic" (11) mixtures of SSM/ent-SSM with dioleoylphosphatidylcholine and Cho. The difference in FRET efficiency indicated that SSM and ent-SSM assemble to form separate nano-subdomains. The average size of the subdomains decreased as temperature increased, and at physiological temperatures, the subdomains were found to have a single-digit nanometer radius. These results suggest that (even in the absence of ent-SM) SM-SM interactions play a crucial role in forming nano-subdomains within liquid-ordered domains and may be a key feature of lipid microdomains (or rafts) in biological membranes.How lipid asymmetry impacts ordered lipid domain (raft) formation may yield important clues to how ordered domain formation is regulated in vivo. Under some conditions, a sphingomyelin (SM) and cholesterol-rich ordered domain in one leaflet induces ordered domain formation in the corresponding region of an opposite leaflet composed of unsaturated phosphatidylcholine (PC) and cholesterol. In other conditions, the formation of ordered domains in a SM and cholesterol-rich leaflet can be suppressed by an opposite leaflet containing unsaturated PC and cholesterol. To explore how PC unsaturation influences the balance between these behaviors, domain formation was studied in asymmetric and symmetric lipid vesicles composed of egg SM, cholesterol, and either unsaturated dioleoyl PC (DOPC) or 1-palmitoyl 2-oleoyl PC (POPC). The temperature dependence of ordered domain formation was measured using Förster resonance energy transfer, which detects nanodomains as well as large domains. In cholesterol-containing asymmetric SM+PC outside/PC inside vesicles, the PC-containing inner leaflet tended to destabilize ordered domain formation in the SM+PC-containing outer leaflet relative to ordered domain stability in cholesterol-containing symmetric SM/PC vesicles. Residual ordered domain formation was detected in cholesterol-containing asymmetric SM+DOPC outside/DOPC inside vesicles, but ordered domain formation was completely or almost completely suppressed by asymmetry in cholesterol-containing SM+POPC outside/POPC inside vesicles over the entire temperature range measured. Suppression of ordered domain formation in the latter vesicles was confirmed by fluorescence anisotropy measurements. Because mixtures of SM, POPC, and cholesterol form domains in symmetric vesicles, and this lipid composition mimics plasma membranes to a significant degree, it is possible that under some conditions in vivo the loss of lipid asymmetry could trigger ordered domain formation.During early life, neural codes must develop to appropriately transform sensory inputs into behavioral outputs. Here, we demonstrate a link between the maturity of neural coding in the visual brain and developmental changes in visually guided behavior. In zebrafish larvae, we show that visually driven hunting behavior improves from 4 to 15 days post-fertilization, becoming faster and more accurate. During the same period, population activity in parts of the optic tectum refines, improving decoding and information transmission for particular spatial positions. Remarkably, individual differences in decoding can predict each fish's hunting success. Together, these results help reveal how the neural codes required for a natural behavior emerge during development.Two recent Lancet and Lancet Oncology papers report that cancer patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection have higher mortality rates. Common independent factors associated with increased risk of death were older age, history of smoking status, number of comorbidities, more advanced performance status, and active cancer.Individuals of African ancestry have been starkly underrepresented in the pursuit of personalized medicine for brain illnesses. The African Ancestry Neuroscience Research Initiative will seek to generate much-needed brain gene and protein expression profiles for people of African ancestry.Continuous neuronal survival is vital for mammals because mammalian brains have limited regeneration capability. After neurogenesis, suppression of apoptosis is needed to ensure a neuron's long-term survival. Here we describe a robust genetic program that intrinsically attenuates apoptosis competence in neurons. Developmental downregulation of the splicing regulator PTBP1 in immature neurons allows neural-specific splicing of the evolutionarily conserved Bak1 microexon 5. Exon 5 inclusion triggers nonsense-mediated mRNA decay (NMD) and unproductive translation of Bak1 transcripts (N-Bak mRNA), leading to suppression of pro-apoptotic BAK1 proteins and allowing neurons to reduce apoptosis. Germline heterozygous ablation of exon 5 increases BAK1 proteins exclusively in the brain, inflates neuronal apoptosis, and leads to early postnatal mortality. Therefore, neural-specific exon 5 splicing and depletion of BAK1 proteins uniquely repress neuronal apoptosis. Although apoptosis is important for development, attenuation of apoptosis competence through neural-specific splicing of the Bak1 microexon is essential for neuronal and animal survival.

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