Boosting Wnt activity during colorectal cancer progression through selective hypermethylation of Wnt signaling antagonists.

BACKGROUND: There is emerging evidence that Wnt pathway activity may increase during the progression from colorectal adenoma to carcinoma and that this increase is potentially an important step towards the invasive stage. Here, we investigated whether epigenetic silencing of Wnt antagonists is the biological driver for this increased Wnt activity in human tissues and how these methylation changes correlate with MSI (Microsatelite Instability) and CIMP (CpG Island Methylator Phenotype) statuses as well as known mutations in genes driving colorectal neoplasia. METHODS: We conducted a systematic analysis by pyrosequencing, to determine the promoter methylation of CpG islands associated with 17 Wnt signaling component genes. Methylation levels were correlated with MSI and CIMP statuses and known mutations within the APC, BRAF and KRAS genes in 264 matched samples representing the progression from normal to pre-invasive adenoma to colorectal carcinoma. RESULTS: We discovered widespread hypermethylation of the Wnt antagonists SFRP1, SFRP2, SFRP5, DKK2, WIF1 and SOX17 in the transition from normal to adenoma with only the Wnt antagonists SFRP1, SFRP2, DKK2 and WIF1 showing further significant increase in methylation from adenoma to carcinoma. We show this to be accompanied by loss of expression of these Wnt antagonists, and by an increase in nuclear Wnt pathway activity. Mixed effects models revealed that mutations in APC, BRAF and KRAS occur at the transition from normal to adenoma stages whilst the hypermethylation of the Wnt antagonists continued to accumulate during the transitions from adenoma to carcinoma stages. CONCLUSION: Our study provides strong evidence for a correlation between progressive hypermethylation and silencing of several Wnt antagonists with stepping-up in Wnt pathway activity beyond the APC loss associated tumour-initiating Wnt signalling levels.A.L.S. was supported by the Fundacao para a Ciencia e Tecnologia (Portugal); A.I. by a Clinician Scientist Fellowship from Cancer Research UK (grant no C10112/A11388); M.B. by the Medical Research Council (U105192713) and by Cancer Research UK (grant no C7379/A8709).This is the final published version. It first appeared at http://www.biomedcentral.com/1471-2407/14/891

Amplified stretch of bottlebrush-coated DNA in nanofluidic channels

The effect of a cationic-neutral diblock polypeptide on the conformation of single DNA molecules confined in rectangular nanochannels is investigated with fluorescence microscopy. An enhanced stretch along the channel is observed with increased binding of the cationic block of the polypeptide to DNA. A maximum stretch of 85% of the contour length can be achieved inside a channel with a cross-sectional diameter of 200 nm and at a 2-fold excess of polypeptide with respect to DNA charge. With site-specific fluorescence labelling, it is demonstrated that this maximum stretch is sufficient to map large-scale genomic organization. Monte Carlo computer simulation shows that the amplification of the stretch inside the nanochannels is owing to an increase in bending rigidity and thickness of bottlebrush-coated DNA. The persistence lengths and widths deduced from the nanochannel data agree with what has been estimated from the analysis of atomic force microscopy images of dried complexes on silica.Singapore-MIT Alliance for Research and TechnologyNational Science Foundation (U.S.

Calcium-Mediated Protein Folding and Stabilisation of Salmonella Biofilm-Associated Protein a

Biofilm-associated proteins (BAPs) are important for early biofilm formation (adhesion) by bacteria and are also found in mature biofilms. BapA from Salmonella is a ~386 kDa surface protein, comprised of 27 tandem repeats predicted to be bacterial Ig-like (BIg) domains. Such tandem repeats are conserved for BAPs across different bacterial species, but the function of these domains is not completely understood. In this work, we report the first study of the mechanical stability of the BapA protein. Using magnetic tweezers, we show that the folding of BapA BIg domains requires calcium- binding and the folded domains have differential mechanical stabilities. Importantly, we identify that >100 nM concentration of calcium is needed for folding of the BIg domains, and the stability of the folded BIg domains is regulated by calcium over a wide concentration range from sub-micromolar (?M) to millimolar (mM). Only at mM calcium concentrations, as found in the extracellular environment, do the BIg domains have the saturated mechanical stability. BapA has been suggested to be involved in Salmonella invasion, and it is likely a crucial mechanical component of biofilms. Therefore, our results provide new insights into the potential roles of BapA as a structural maintenance component of Salmonella biofilm and also Salmonella invasion

Scaling Granite Code Models to 128K Context

This paper introduces long-context Granite code models that support effective context windows of up to 128K tokens. Our solution for scaling context length of Granite 3B/8B code models from 2K/4K to 128K consists of a light-weight continual pretraining by gradually increasing its RoPE base frequency with repository-level file packing and length-upsampled long-context data. Additionally, we also release instruction-tuned models with long-context support which are derived by further finetuning the long context base models on a mix of permissively licensed short and long-context instruction-response pairs. While comparing to the original short-context Granite code models, our long-context models achieve significant improvements on long-context tasks without any noticeable performance degradation on regular code completion benchmarks (e.g., HumanEval). We release all our long-context Granite code models under an Apache 2.0 license for both research and commercial use

Structure of the H-NS-DNA nucleoprotein complex.

Nucleoid associated proteins (NAPs) play a key role in the compaction and expression of the prokaryotic genome. Here we report the organisation of a major NAP, the protein H-NS on a double stranded DNA fragment. For this purpose we have carried out a small angle neutron scattering study in conjunction with contrast variation to obtain the contributions to the scattering (structure factors) from DNA and H-NS. The H-NS structure factor agrees with a heterogeneous, two-state binding model with sections of the DNA duplex surrounded by protein and other sections having protein bound to the major groove. In the presence of magnesium chloride, we observed a structural rearrangement through a decrease in cross-sectional diameter of the nucleoprotein complex and an increase in fraction of major groove bound H-NS. The two observed binding modes and their modulation by magnesium ions provide a structural basis for H-NS-mediated genome organisation and expression regulation

Hybrid Optimized LMMSE based Channel Estimation with Low Power Trellis Coded Modulation

In the wireless channel environment, the data transmission faces many safety problems and power transmission loss. This results with the negative impacts while precise channel estimation. Furthermore, the existing channel estimation (CE) model directly estimates the channel matrix; still, the accuracy and the high complexity may cause path loss. Alternate to the direct estimation in the channel matrix, the parameter estimation model is used to solve the above issues. Moreover, the training based CE including Linear Minimum Mean Square Error (LMMSE) and Least Square Error (LSE) are ubiquitous in certain wireless standards to reduce the Mean Square Error (MSE) among the estimated and original channel. Certain intelligent optimized techniques are introduced to optimize the channel. This paper intends to introduce a Trellis Coded Modulation (TCM) with hybrid optimization in LMMSE for the Optimal CE. Moth amalgamated Elephant Herding Optimization (MAEHO) algorithm is the proposed hybrid optimization. At last, the performance of the adopted model is computed over other existing schemes in terms of various measures. 

Multimodal Imaging of Pancreatic Cancer Microenvironment in Response to an Antiglycolytic Drug

Lipid metabolism and glycolysis play crucial roles in the progression and metastasis of cancer, and the use of 3-bromopyruvate (3-BP) as an antiglycolytic agent has shown promise in killing pancreatic cancer cells. However, developing an effective strategy to avoid chemoresistance requires the ability to probe the interaction of cancer drugs with complex tumor-associated microenvironments (TAMs). Unfortunately, no robust and multiplexed molecular imaging technology is currently available to analyze TAMs. In this study, the simultaneous profiling of three protein biomarkers using SERS nanotags and antibody-functionalized nanoparticles in a syngeneic mouse model of pancreatic cancer (PC) is demonstrated. This allows for comprehensive information about biomarkers and TAM alterations before and after treatment. These multimodal imaging techniques include surface-enhanced Raman spectroscopy (SERS), immunohistochemistry (IHC), polarized light microscopy, second harmonic generation (SHG) microscopy, fluorescence lifetime imaging microscopy (FLIM), and untargeted liquid chromatography and mass spectrometry (LC-MS) analysis. The study reveals the efficacy of 3-BP in treating pancreatic cancer and identifies drug treatment-induced lipid species remodeling and associated pathways through bioinformatics analysis