Publications by authors named "Ning Leng"

By manipulating their asymmetric electronic spin states, the unique electronic structures and unsaturated coordination environments of single atoms can be effectively harnessed to control their magnetic properties. In this research, the first investigation is presented into the regulation of magnetic properties through the electronic spin states of single atoms. Magnetic single-atom one-dimensional materials, M-N-C/ZrO (M = Fe, Co, Ni), with varying electronic spin states, are design and synthesize based on the electronic orbital structure model.

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Article Synopsis
  • Terahertz (THz) radar is beneficial for its high frequency and strong penetration ability, making it suitable for fields like aerospace and non-destructive testing, but current systems struggle with large-scale detection due to complexity and costs.
  • A new radar system using a one-dimensional photonic crystal and spintronic technology improves THz radar signals, achieving a signal-to-noise ratio of about 58 dB and bandwidth over 5 THz.
  • This innovative design allows for high-quality, uniform THz waves over a 4-inch radius, paving the way for advanced radar imaging useful in areas such as aerospace engineering, stealth testing, and 3D reconstruction.
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Tumor vaccines, as an immunotherapeutic approach, harness the body's immune cells to provoke antitumor responses, which have shown promising efficacy in clinical settings. However, the immunosuppressive tumor microenvironment (TME) and the ineffective vaccine delivery systems hinder the progression of many vaccines beyond phase II trials. This article begins with a comprehensive review of the complex interactions between tumor vaccines and TME, summarizing the current state of vaccine clinical research.

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The high-mode generator is a passive device operating at low power, which is helpful for the mode converter test. It has generally served as the input of the mode converter to evaluate the performance. Here, we realized the design of the TE mode generator.

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Individuals can vary drastically in their response to the same treatment, and this heterogeneity has driven the push for more personalized medicine. Accurate and interpretable methods to identify subgroups that respond to the treatment differently from the population average are necessary to achieving this goal. The Virtual Twins (VT) method is a highly cited and implemented method for subgroup identification because of its intuitive framework.

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  • Immune checkpoint inhibitors (ICIs) like atezolizumab are effective cancer treatments, but many patients still face therapeutic resistance.
  • High levels of interleukin 6 (IL-6) correlate with a poor response to atezolizumab in advanced cancers, indicating a potential target for overcoming resistance.
  • Combining PD-L1 blockade with IL-6 receptor inhibition shows promising results in preclinical studies by enhancing the effectiveness of anti-tumor immune responses, suggesting IL-6 signaling inhibitors could improve ICI therapies in cancer patients.
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The lifetime and the distribution of photoconductivity generated in laser-illuminated semiconductors are critical to photoconductivity-based applications. We propose a synchronized double-scanning method to measure time-resolved diffusion in the form of an afterglow embedded in the distribution map. The method combines spatial scanning of a coaxial resonator with synchronized laser scanning to map the dynamically excited conductivity on a semiconductor wafer.

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The measurement and diagnosis of electromagnetic fields are important foundations for various electronic and optical systems. This paper presents an innovative optically controlled plasma scattering technique for imaging electromagnetic fields. On a silicon wafer, the plasma induced by the photoconductive effect is exploited as an optically controlled scattering probe to image the amplitude and phase of electromagnetic fields.

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An endeavor central to precision medicine is predictive biomarker discovery; they define patient subpopulations which stand to benefit most, or least, from a given treatment. The identification of these biomarkers is often the byproduct of the related but fundamentally different task of treatment rule estimation. Using treatment rule estimation methods to identify predictive biomarkers in clinical trials where the number of covariates exceeds the number of participants often results in high false discovery rates.

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Immune checkpoint inhibitors targeting the PD-1/PD-L1 axis lead to durable clinical responses in subsets of cancer patients across multiple indications, including non-small cell lung cancer (NSCLC), urothelial carcinoma (UC) and renal cell carcinoma (RCC). Herein, we complement PD-L1 immunohistochemistry (IHC) and tumor mutation burden (TMB) with RNA-seq in 366 patients to identify unifying and indication-specific molecular profiles that can predict response to checkpoint blockade across these tumor types. Multiple machine learning approaches failed to identify a baseline transcriptional signature highly predictive of response across these indications.

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Purpose: The purpose of this study was to uncover the influence of microRNA-188-5p (miRNA-188-5p) on the metastasis of glioma, thus providing a new direction in the early diagnosis and prediction of disease progression.

Methods: MiRNA-188-5p levels in 44 glioma tissues and paracancerous ones were detected by quantitative real-time polymerase chain reaction (qRT-PCR). Its influence on pathological indicators and prognosis in glioma patients was analyzed.

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Background: The use of immune checkpoint inhibitors combined with vascular endothelial growth factor (VEGF)-targeted therapy as second-line treatment for metastatic clear cell renal cancer (mRCC) has not been evaluated prospectively.

Objective: To evaluate the efficacy and safety of atezolizumab + bevacizumab following disease progression on atezolizumab or sunitinib monotherapy in patients with mRCC.

Design, Setting, And Participants: IMmotion150 was a multicenter, randomized, open-label, phase 2 study of patients with untreated mRCC.

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Integrated multi-omics evaluation of 823 tumors from advanced renal cell carcinoma (RCC) patients identifies molecular subsets associated with differential clinical outcomes to angiogenesis blockade alone or with a checkpoint inhibitor. Unsupervised transcriptomic analysis reveals seven molecular subsets with distinct angiogenesis, immune, cell-cycle, metabolism, and stromal programs. While sunitinib and atezolizumab + bevacizumab are effective in subsets with high angiogenesis, atezolizumab + bevacizumab improves clinical benefit in tumors with high T-effector and/or cell-cycle transcription.

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As newer single-cell protocols generate increasingly more cells at reduced sequencing depths, the value of a higher read depth may be overlooked. Using data from three different single-cell RNA-seq protocols that lend themselves to having either higher read depth (Smart-seq) or many cells (MARS-seq and 10X), we evaluate their ability to recapitulate biological signals in the context of spatial reconstruction. Overall, we find gene expression profiles after spatial reconstruction analysis are highly reproducible between datasets despite being generated by different protocols and using different computational algorithms.

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Article Synopsis
  • - Elevated levels of interleukin-8 (IL-8) in plasma and tumor tissues were linked to reduced effectiveness of the immune checkpoint drug atezolizumab in patients with metastatic urothelial carcinoma and renal cell carcinoma.
  • - Patients with lower baseline IL-8 levels had better responses to atezolizumab and chemotherapy, while those who showed a decrease in IL-8 during treatment had improved overall survival with atezolizumab.
  • - Research revealed that IL-8 is mostly produced by myeloid cells in the immune system, and high IL-8 levels can suppress the body's ability to present antigens, highlighting the need for therapies to counteract IL-8's effects for better treatment outcomes.
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Pluripotent stem cells retain the developmental timing of their species of origin in vitro, an observation that suggests the existence of a cell-intrinsic developmental clock, yet the nature and machinery of the clock remain a mystery. We hypothesize that one possible component may lie in species-specific differences in the kinetics of transcriptional responses to differentiation signals. Using a liquid-handling robot, mouse and human pluripotent stem cells were exposed to identical neural differentiation conditions and sampled for RNA-sequencing at high frequency, every 4 or 10 minutes, for the first 10 hours of differentiation to test for differences in transcriptomic response rates.

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Papillary renal cell carcinoma (PRCC) accounts for about 10 percent of all renal cell carcinomas, and the prognosis is poor for people with advanced disease. Interleukin-20 receptor subunit beta (IL20RB) is a single-pass type I membrane protein of the type II cytokine receptor family and is related to the pathogenesis of chronic inflammation and autoimmune diseases, including psoriasis, glaucoma, vitiligo, rheumatoid arthritis, and inflammatory bowel disease. However, little has been reported on IL20RB with respect to cancer, especially in PRCC.

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Background: High-throughput expression profiling experiments with ordered conditions (e.g. time-course or spatial-course) are becoming more common for studying detailed differentiation processes or spatial patterns.

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Background: Few options exist for patients with locally advanced or metastatic urothelial carcinoma after progression with platinum-based chemotherapy. We aimed to assess the safety and efficacy of atezolizumab (anti-programmed death-ligand 1 [PD-L1]) versus chemotherapy in this patient population.

Methods: We conducted this multicentre, open-label, phase 3 randomised controlled trial (IMvigor211) at 217 academic medical centres and community oncology practices mainly in Europe, North America, and the Asia-Pacific region.

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Here, we report the derivation of arterial endothelial cells from human pluripotent stem cells that exhibit arterial-specific functions in vitro and in vivo. We combine single-cell RNA sequencing of embryonic mouse endothelial cells with an dual reporter human embryonic stem cell line to identify factors that regulate arterial endothelial cell specification. The resulting xeno-free protocol produces cells with gene expression profiles, oxygen consumption rates, nitric oxide production levels, shear stress responses, and TNFα-induced leukocyte adhesion rates characteristic of arterial endothelial cells.

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The normalization of RNA-seq data is essential for accurate downstream inference, but the assumptions upon which most normalization methods are based are not applicable in the single-cell setting. Consequently, applying existing normalization methods to single-cell RNA-seq data introduces artifacts that bias downstream analyses. To address this, we introduce SCnorm for accurate and efficient normalization of single-cell RNA-seq data.

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Human genome-wide association studies (GWAS) have shown that genetic variation at >130 gene loci is associated with type 2 diabetes (T2D). We asked if the expression of the candidate T2D-associated genes within these loci is regulated by a common locus in pancreatic islets. Using an obese F2 mouse intercross segregating for T2D, we show that the expression of ~40% of the T2D-associated genes is linked to a broad region on mouse chromosome (Chr) 2.

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Anti-silencing function 1 (ASF1) is a histone H3-H4 chaperone involved in DNA replication and repair, and transcriptional regulation. Here, we identify ASF1B, the mammalian paralog to ASF1, as a proliferation-inducing histone chaperone in human β-cells. Overexpression of ASF1B led to distinct transcriptional signatures consistent with increased cellular proliferation and reduced cellular death.

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Background: Human pluripotent stem cells offer the best available model to study the underlying cellular and molecular mechanisms of human embryonic lineage specification. However, it is not fully understood how individual stem cells exit the pluripotent state and transition towards their respective progenitor states.

Results: Here, we analyze the transcriptomes of human embryonic stem cell-derived lineage-specific progenitors by single-cell RNA-sequencing (scRNA-seq).

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