Solving Graph Problems Using Gaussian Boson Sampling.

Gaussian boson sampling (GBS) is not only a feasible protocol for demonstrating quantum computational advantage, but also mathematically associated with certain graph-related and quantum chemistry problems. In particular, it is proposed that the generated samples from the GBS could be harnessed to enhance the classical stochastic algorithms in searching some graph features. Here, we use Jiǔzhang, a noisy intermediate-scale quantum computer, to solve graph problems. The samples are generated from a 144-mode fully connected photonic processor, with photon click up to 80 in the quantum computational advantage regime. We investigate the open question of whether the GBS enhancement over the classical stochastic algorithms persists-and how it scales-with an increasing system size on noisy quantum devices in the computationally interesting regime. We experimentally observe the presence of GBS enhancement with a large photon-click number and a robustness of the enhancement under certain noise. Our work is a step toward testing real-world problems using the existing noisy intermediate-scale quantum computers and hopes to stimulate the development of more efficient classical and quantum-inspired algorithms.

Gaussian Boson Sampling with Pseudo-Photon-Number-Resolving Detectors and Quantum Computational Advantage.

We report new Gaussian boson sampling experiments with pseudo-photon-number-resolving detection, which register up to 255 photon-click events. We consider partial photon distinguishability and develop a more complete model for the characterization of the noisy Gaussian boson sampling. In the quantum computational advantage regime, we use Bayesian tests and correlation function analysis to validate the samples against all current classical spoofing mockups. Estimating with the best classical algorithms to date, generating a single ideal sample from the same distribution on the supercomputer Frontier would take ∼600 yr using exact methods, whereas our quantum computer, Jiǔzhang 3.0, takes only 1.27 µs to produce a sample. Generating the hardest sample from the experiment using an exact algorithm would take Frontier∼3.1×10^{10} yr.

A Unique G-Quadruplex Aptamer: A Novel Approach for Cancer Cell Recognition, Cell Membrane Visualization, and RSV Infection Detection.

Surface staining has emerged as a rapid technique for applying external stains to trace cellular identities in diverse populations. In this study, we developed a distinctive aptamer with selective binding to cell surface nucleolin (NCL), bypassing cytoplasmic internalization. Conjugation of the aptamer with a FAM group facilitated NCL visualization on live cell surfaces with laser confocal microscopy. To validate the aptamer-NCL interaction, we employed various methods, including the surface plasmon resonance, IHC-based flow cytometry, and electrophoretic mobility shift assay. The G-quadruplex formations created by aptamers were confirmed with a nuclear magnetic resonance and an electrophoretic mobility shift assay utilizing BG4, a G-quadruplex-specific antibody. Furthermore, the aptamer exhibited discriminatory potential in distinguishing between cancerous and normal cells using flow cytometry. Notably, it functioned as a dynamic probe, allowing real-time monitoring of heightened NCL expression triggered by a respiratory syncytial virus (RSV) on normal cell surfaces. This effect was subsequently counteracted with dsRNA transfection and suppressed the NCL expression; thus, emphasizing the dynamic attributes of the probe. These collective findings highlight the robust versatility of our aptamer as a powerful tool for imaging cell surfaces, holding promising implications for cancer cell identification and the detection of RSV infections.

Unveiling the role of G-quadruplex structure in promoter region: Regulation of ABCA1 expression in macrophages possibly via NONO protein recruitment.

ABCA1 has been found to be critical for cholesterol efflux in macrophages. Understanding the mechanism regulating ABCA1 expression is important for the prevention and treatment of atherosclerosis. In the present study, a G-quadruplex (G4) structure was identified in the ABCA1 promoter region. This G4 was shown to be essential for ABCA1 transcription. Stabilizing the G4 by ligands surprisingly upregulated ABCA1 expression in macrophages. Knocking out the G4 remarkably reduced ABCA1 expression, and abolished the increase of ABCA1 expression induced by the G4 ligand. By pull-down assays, the protein NONO was identified as an ABCA1 G4 binder. Overexpression or repression of NONO significantly induced upregulation and downregulation of ABCA1 expression, respectively. ChIP and EMSA experiments showed that the G4 ligand promoted the binding between the ABCA1 G4 and NONO, which led to more recruitment of NONO to the promoter region and enhanced ABCA1 transcription. Finally, the G4 ligand was shown to significantly reduce the accumulation of cholesterol in macrophages. This study showed a new insight into the regulation of gene expression by G4, and provided a new molecular mechanism regulating ABCA1 expression in macrophages. Furthermore, the study showed a possible novel application of the G4 ligand: preventing and treating atherosclerosis.

Tetraphenylethene derivative that discriminates parallel G-quadruplexes.

G-Quadruplex (G4), as a non-canonical nucleic acid secondary structure, has been proved to be prevalent in genomes and plays important roles in many biological processes. Ligands targeting G4, especially small-molecular fluorescent light-up probes with selectivity for special conformations, are essential for studying the relationship between G4 folding and the cellular response. However, their development still remains challenging but is attracting massive attention. Here, we synthesized a new tetraphenylethene derivative, namely TPE-B, as a parallel G4 probe. Fluorescence experiments showed that TPE-B could give out a strong fluorescence response to the G4 structure. Moreover, it gave a much higher fluorescence intensity response to parallel G4s than anti-parallel ones, which indicated that TPE-B could serve as a special tool for probing parallel G4s. The circular dichroism (CD) spectra and melting curves showed that TPE-B could selectively bind and stabilize parallel G4s without changing their topology. ESI-MS studies showed that TPE-B could bind to parallel G4 with a 1 : 1 stoichiometry. The gel staining results showed that TPE-B was a good candidate for probing parallel G4s. Altogether, the TPE-B molecule may serve as a promising new probe that can discriminate parallel G4s.

A Small Ligand That Selectively Binds to the G-quadruplex at the Human Vascular Endothelial Growth Factor Internal Ribosomal Entry Site and Represses the Translation.

G-quadruplexes are believed to have important biological functions, so many small molecules have been screened or developed for targeting G-quadruplexes. However, it is still a major challenge to find molecules that recognize specific G-quadruplexes. Here, by using a combination of surface plasmon resonance, electrospray ionization mass spectrometry, circular dichroism, Western blot, luciferase assay, and reverse transcriptase stop assay, we observed a small molecule, namely, oxymatrine (OMT) that could selectively bind to the RNA G-quadruplex in 5'-untranslated regions (UTRs) of human vascular endothelial growth factor (hVEGF), but could not bind to other G-quadruplexes. OMT could selectively repress the translation of VEGF in cervical cancer cells. Furthermore, it could recognize VEGF RNA G-quadruplexes in special conformations. The results indicate that OMT may serve as a potentially special tool for studying the VEGF RNA G-quadruplex in cells and as a valuable scaffold for the design of ligands that recognize different G-quadruplexes.

Effect of Jinlida Granules on Visceral Fat Accumulation in Prediabetic Rats / 中国实验方剂学杂志

ObjectiveTo study the effect of Jinlida granules on visceral fat accumulation and its induced inflammatory response in prediabetic rats. MethodMale SD rats were randomly divided into normal group， model group， Jinlida low-dose group （1.5 g·kg-1）， Jinlida high-dose group （3.0 g·kg-1） and atorvastatin group （10 mg·kg-1）. Prediabetic rat model was established using high-carbohydrate， high-fat diet combined with low-dose streptozotocin （STZ） by multiple small-dose intraperitoneal injections. After 8 weeks of modeling and drug intervention for 13 consecutive weeks， body weight， oral glucose tolerance test（OGTT）， fasting blood glucose （FBG）， fasting insulin （FINS）， insulin resistance index （HOMA-IR）， total cholesterol （TC）， low-density lipoprotein cholesterol （LDL-C） and high-density lipoprotein cholesterol （HDL-C） were measured in each group of rats. The content of visceral fat was quantified by micro-computed tomography （Micro-CT）. Hematoxylin-eosin staining （HE） was used to observe the pathological changes of fat cells. The levels of tumor necrosis factor-α （TNF-α） and interleukin- 6 （IL-6） in rat visceral fat and serum were determined by enzyme linked immunosorbent assay （ELISA）. The expression of macrophage marker CD68 in visceral fat was detected by immunofluorescence and Western blot. ResultCompared with normal group， model group had increased oral glucose tolerance， FBG， FINS， HOMA-IR， TC， LDL-C （P<0.01）， elevated body weight and visceral fat accumulation （P<0.05， P<0.01）， enhanced CD68 protein expression and TNF-α and IL-6 levels （P<0.01）， decreased HDL-C （P<0.01）， and abnormal hypertrophy of adipocytes. Compared with model group， Jinlida high- and low-dose groups lowered oral glucose tolerance， HOMA-IR， TC and LDL-C （P<0.05， P<0.01）， body weight and visceral fat accumulation （P<0.05）， and CD68 protein expression and TNF-α and IL-6 levels （P<0.05， P<0.01） and lessened hypertrophy of fat cells. ConclusionJinlida can improve the insulin resistance in prediabetic rats by reducing visceral fat accumulation and its induced inflammatory response， which provides a new pharmacological basis for clinical treatment of prediabetes by Jinlida granules.