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We confirmed our findings from this robust yet fast method by imaging both the wild type and mutant lamin A networks using a super resolution microscope, and observed changes in the mesh size which corroborate our measured changes in the viscoelastic parameters of the lamins. This method could thus be extended to conduct microrheological measurements on any intermediate filament protein thus bearing significant implications in laminopathies and other diseases associated with intermediate filaments.Precise isolation and analysis of circulating tumor cells (CTCs) from blood samples offer considerable potential for cancer research and personalized treatment. Currently, available CTC isolation approaches remain challenging in the quest for simple strategies to achieve cell isolation with both high separation efficiency and high purity, which limits the use of captured CTCs for downstream analyses. Here, we present a filter deterministic lateral displacement concept to achieve one-step and label-free CTC isolation with high throughput. Unlike conventional deterministic lateral displacement (DLD) devices, the proposed method uses a hydrodynamic cell sorting design by incorporating a filtration concept into a DLD structure, and enables high-throughput and clog-free isolation by a cascaded microfluidic design. The cascaded filter-DLD (CFD) design demonstrated enhanced performance for size-based cell separation, and achieved high separation efficiency (>96%), high cell purity (WBC removal rate 99.995%), high cell viability (>98%) and high processing rate (1 mL min-1). Samples from lung cancer patients were analyzed using the CFD-Chip, CTCs and tumor cell-leukocyte fusion cells were efficiently collected, and changes in CTC levels were used for treatment response monitoring. The CFD-Chip platform isolated CTCs with good viability, enabling direct downstream analysis with single-cell RNA sequencing. Transcriptome analysis of enriched CTCs identified new subtypes of CTCs such as tumor cell-leukocyte fusion cells, providing insights into cancer diagnostics and therapeutics.If the twentieth century was the age of precisely designed molecules, the twenty-first century is beginning to look like the age of reticulated molecules. In the spirit of the Faraday Discussion meeting, we wish to highlight the power of harnessing the reticulated molecule and suggest that its chemistry can be furthered by viewing our reticular structures from the 'eye of the molecule'. To clarify what is meant by this term, we wish to first take stock of the current state of reticular chemistry.For sorbents, good magnetic properties and rich interactions with targets are important ways to improve the efficiency of magnetic solid-phase extraction (MSPE). The magnetic MOF-101 derivative (MD) was obtained by heat-treating MOF-101 at different temperatures. After a series of characterizations, it was found that MD-350 had the best magnetic properties and retained more functional groups of the original MOF-101, and had better extraction efficiency as compared to MD obtained under other treatment temperatures for the MSPE of four non-steroidal anti-inflammatory drugs (NSAIDs) in water samples, coupled with high-performance liquid chromatography (HPLC). The remaining functional groups of MD-350 can produce more interactions with NSAIDs, such as hydrogen bonding, π-π conjugation, and coordination interactions; good magnetic properties facilitate the separation of the sorbent and the solution. These advantages indicate that the established extraction method demonstrated satisfactory extraction performance an excellent recovery rate (96.73-100.61%) with a short extraction time (15 min), a wide linear range (4-400 μg L-1) with a determination coefficient of 0.9975-0.9993, a low LOD of 0.2-0.5 μg L-1 and up to 12 times service-life without the loss of the recovery rate. Satisfactory results were also obtained in extracting NSAIDs from Yellow River. All these results indicate that MD-350 prepared under mild conditions has potential as an MSPE sorbent to detect and remove NSAIDs from environmental waters with high efficiency and long service life.The first enantioselective carbometalation reaction of azabicycloalkenes has been achieved by iron catalysis to in situ form optically active organozinc intermediates, which are amenable to further synthetic elaborations. The observed chiral induction, along with the DFT and XAS analyses, reveals the direct coordination of the chiral phosphine ligand to the iron centre during the carbon-carbon and carbon-metal bond forming step. This new class of iron-catalysed asymmetric reaction will contribute to the synthesis and production of bioactive molecules.Thermal treatment of food products leads to the formation of dietary advanced glycation endproducts (dAGEs). It was previously shown that dAGEs induce TNF-α secretion in human macrophage-like cells. To what extent gastrointestinal digestion of dAGEs influences these pro-inflammatory effects and what the implications of these pro-inflammatory characteristics further down the human gastrointestinal tract are, are currently unknown. Avacopan In one of our previous studies, dAGEs were digested using the TNO gastroIntestinal Model and analysed for dAGE quantity after digestion. In the current study both digested and undigested dAGEs were used to expose human macrophage-like cells, which were subsequently analysed for TNF-α secretion. In addition, the obtained digests were fractionated, and human macrophage-like cells were exposed to the different fractions to determine whether specific fractions induce TNF-α secretion. The results show that digested dAGEs have an increased pro-inflammatory effect on human macrophage-like cells compared to undigested dAGEs. This paper therefore shows that the digestion of food-components, and specifically dAGEs, plays an important role in determining their biological activity.Pancreatic cancer is an increasingly common cause of cancer mortality with a tight correspondence between disease mortality and incidence. Furthermore, it is usually diagnosed at an advanced stage with a very dismal prognosis. Due to the high heterogeneity, metabolic reprogramming, and dense stromal environment associated with pancreatic cancer, patients benefit little from current conventional therapy. Recent insight into the biology and genetics of pancreatic cancer has supported its molecular classification, thus expanding clinical therapeutic options. In this review, we summarize how the biological features of pancreatic cancer and its metabolic reprogramming as well as the tumor microenvironment regulate its development and progression. We further discuss potential biomarkers for pancreatic cancer diagnosis, prediction, and surveillance based on novel liquid biopsies. We also outline recent advances in defining pancreatic cancer subtypes and subtype-specific therapeutic responses and current preclinical therapeutic models.