Tool For Biological Analysis Research Articles

Mid-infrared hyperspectral microscopy with broadband 1-GHz dual frequency combs

Mid-infrared microscopy is an important tool for biological analyses, allowing a direct probe of molecular bonds in their low energy landscape. In addition to the label-free extraction of spectroscopic information, the application of broadband sources can provide a third dimension of chemical specificity. However, to enable widespread deployment, mid-infrared microscopy platforms need to be compact and robust while offering high speed, broad bandwidth, and high signal-to-noise ratio. In this study, we experimentally showcase the integration of a broadband, high-repetition-rate dual-comb spectrometer (DCS) in the mid-infrared range with a scanning microscope. We employ a set of 1-GHz mid-infrared frequency combs, demonstrating their capability for high-speed and broadband hyperspectral imaging of polymers and ovarian tissue. The system covers 1000 cm−1 at νc = 2941 cm−1 with 12.86 kHz spectra acquisition rate and 5 µm spatial resolution. Taken together, our experiments and analysis elucidate the trade-off between bandwidth and speed in DCS as it relates to microscopy. This provides a roadmap for the future advancement and application of high-repetition-rate DCS hyperspectral imaging.

Volumetric Absorptive Microsampling in the Analysis of Endogenous Metabolites.

Volumetric absorptive microsampling (VAMS) has arisen as a relevant tool in biological analysis, offering simplified sampling procedures and enhanced stability. Most of the attention VAMS has received in the past decade has been from pharmaceutical research, with most of the published work employing VAMS targeting drugs or other exogenous compounds, such as toxins and pollutants. However, biomarker analysis by employing blood microsampling has high promise. Herein, a comprehensive review on the applicability of VAMS devices for the analysis of endogenous metabolites/biomarkers was performed. The study presents a full overview of the analysis process, incorporating all the steps in sample treatment and validation parameters. Overall, VAMS devices have proven to be reliable tools for the analysis of endogenous analytes with biological importance, often offering improved analyte stability in comparison with blood under ambient conditions as well as a convenient and straightforward sample acquisition model.

Transcriptional Signature of Valproic Acid-Induced Neural Tube Defects in Human Spinal Cord Organoids.

In vertebrates, the entire central nervous system is derived from the neural tube, which is formed through a conserved early developmental morphogenetic process called neurulation. Although the perturbations in neurulation caused by genetic or environmental factors lead to neural tube defects (NTDs), the most common congenital malformation and the precise molecular pathological cascades mediating NTDs are not well understood. Recently, we have developed human spinal cord organoids (hSCOs) that recapitulate some aspects of human neurulation and observed that valproic acid (VPA) could cause neurulation defects in an organoid model. In this study, we identified and verified the significant changes in cell-cell junctional genes/proteins in VPA-treated organoids using transcriptomic and immunostaining analysis. Furthermore, VPA-treated mouse embryos exhibited impaired gene expression and NTD phenotypes, similar to those observed in the hSCO model. Collectively, our data demonstrate that hSCOs provide a valuable biological resource for dissecting the molecular pathways underlying the currently unknown human neurulation process using destructive biological analysis tools.

An electrochemical sensor based on chitosan capped with gold nanoparticles combined with a voltammetric electronic tongue for quantitative aspirin detection in human physiological fluids and tablets.

Inflammatory diseases increase has recently sparked the research interest for drugs diagnostic tools development. At therapeutic doses, acetylsalicylic acid (ASA or aspirin) is widely used for these diseases' treatment. ASA overdoses can however give rise to adverse side effects including ulcers, gastric damage. Hence, development of simple, portable and sensitive methods for ASA detection is desirable. This paper reports aspirin analysis in urine, saliva and pharmaceutical tablet using an electrochemical sensor and a voltammetric electronic tongue (VE-Tongue). The electrochemical sensor was fabricated by self-assembling chitosan capped with gold nanoparticles (Cs+AuNPs) on a screen-printed carbon electrode (SPCE). It exhibits a logarithmic-linear relationship between its response and the ASA concentration in the range between 1pg/mL and 1μg/mL. A low detection limit (0.03pg/mL), good selectivity against phenol and benzoic acid interference, and successful practical application were demonstrated. Qualitative analysis was performed using the VE-Tongue based unmodified metal electrodes combined with two chemometric approaches to classify urine samples spiked with different aspirin concentrations. Partial least squares (PLS) method provided prediction models obtained from the data of both devices with a regression correlation coefficient R2=0.99. Correspondingly, the SPCE/(Cs+AuNPs) electrochemical sensor and VE-Tongue could be viable tools for biological analysis of drugs.

Microphysiological Systems as Enabling Tools for Modeling Complexity in the Tumor Microenvironment and Accelerating Cancer Drug Development

AbstractTumor cell heterogeneity with distinct phenotypes, genotypes, and epigenetic states as well as the complex tumor microenvironment is major challenges for cancer diagnosis and treatment. There have been substantial advances in our knowledge of tumor biology and in the capabilities of available biological analysis tools; however, the absence of physiologically relevant in vitro testing platforms limits our ability to gain an in‐depth understanding of the role of the tumor microenvironment in cancer pathology. In this review, recent advances in engineered tumor microenvironments to advance cancer research and drug discovery are presented, including tumor spheroids, microfluidic chips, paper scaffolds, hydrogel‐based engineered tissues, 3D bioprinted scaffolds, and multiscale topography. Furthermore, how these technologies address the specific characteristics of the native tumor microenvironment is described. Through the comparison of these biomimetic 3D tumor models to conventional 2D culture models, the validity and physiological relevance of these platforms for fundamental in vitro studies of the tumor biology, as well as their potential use in drug screening applications, is also discussed.

IRBP-Motif-PSSM: Identification of RNA-Binding Proteins Based on Collaborative Learning

RNAs and RNA-binding proteins (RBPs) in cells can bind with each other to form a nuclear ribonucleoprotein (RNP) complex, playing important roles in life processes, and gene regulation. How to accurately predict the RNA-binding proteins is a big challenge and hot research task. Here, we proposed a new computational predictor called iRBP-Motif-PSSM for identifying RNA-binding proteins by combining the motif information and the evolutionary information extracted from the Position Specific Scoring Matrixes. Collaborative Learning was employed to address the instability problem of the predictor. The experimental results showed that iRBP-Motif-PSSM showed better performance than other existing methods for identifying NA-binding proteins, indicating that iRBP-Motif-PSSM is a useful tool for biological analysis.

Cell Migration in Microfluidic Devices: Invadosomes Formation in Confined Environments.

The last 20years have seen the blooming of microfluidics technologies applied to biological sciences. Microfluidics provides effective tools for biological analysis, allowing the experimentalists to extend their playground to single cells and single molecules, with high throughput and resolution which were inconceivable few decades ago. In particular, microfluidic devices are profoundly changing the conventional way of studying the cell motility and cell migratory dynamics. In this chapter we will furnish a comprehensive view of the advancements made in the research domain of confinement-induced cell migration, thanks to the use of microfluidic devices. The chapter is subdivided in three parts. Each section will be addressing one of the fundamental questions that the microfluidic technology is contributing to unravel: (i) where cell migration takes place, (ii) why cells migrate and, (iii) how the cells migrate. The first introductory part is devoted to a thumbnail, and partially historical, description of microfluidics and its impact in biological sciences. Stress will be put on two aspects of the devices fabrication process, which are crucial for biological applications: materials used and coating methods. The second paragraph concerns the cell migration induced by environmental cues: chemical, leading to chemotaxis, mechanical, at the basis of mechanotaxis, and electrical, which induces electrotaxis. Each of them will be addressed separately, highlighting the fundamental role of microfluidics in providing the well-controlled experimental conditions where cell migration can be induced, investigated and ultimately understood. The third part of the chapter is entirely dedicated to how the cells move in confined environments. Invadosomes (the joint name for podosomes and invadopodia) are cell protrusion that contribute actively to cell migration or invasion. The formation of invadosomes under confinement is a research topic that only recently has caught the attention of the scientific community: microfluidic design is helping shaping the future direction of this emerging field of research.

Progress of analytical tools and techniques for human gut microbiome research

Massive DNA sequencing studies have expanded our insights and understanding of the ecological and functional characteristics of the gut microbiome. Advanced sequencing technologies allow us to understand the close association of the gut microbiome with human health and critical illnesses. In the future, analyses of the gut microbiome will provide key information associating with human individual health, which will help provide personalized health care for diseases. Numerous molecular biological analysis tools have been rapidly developed and employed for the gut microbiome researches; however, methodological differences among researchers lead to inconsistent data, limiting extensive share of data. It is therefore very essential to standardize the current methodologies and establish appropriate pipelines for human gut microbiome research. Herein, we review the methods and procedures currently available for studying the human gut microbiome, including fecal sample collection, metagenomic DNA extraction, massive DNA sequencing, and data analyses with bioinformatics. We believe that this review will contribute to the progress of gut microbiome research in the clinical and practical aspects of human health.

Gram-type differentiation of bacteria with 2D hollow photonic crystal cavities

Fast and label-free techniques to analyze viruses and bacteria are of crucial interest in biological and bio-medical applications. For this purpose, optofluidic systems based on the integration of photonic structures with microfluidic layers were shown to be promising tools for biological analysis, thanks to their small footprint and to their ability to manipulate objects using low powers. In this letter, we report on the optical trapping of living bacteria in a 2D silicon hollow photonic crystal cavity. This structure allows for the Gram-type differentiation of bacteria at the single cell scale, in a fast, label-free, and non-destructive way.

Simultaneous Delivery of Electrostatically Complexed Multiple Gene-Targeting siRNAs and an Anticancer Drug for Synergistically Enhanced Treatment of Prostate Cancer.

Simultaneous silencing of multiple apoptosis-related genes is an attractive approach to treat cancer. In this article, we present a multiple gene-targeting siRNA/drug delivery system for prostate cancer treatment with a high efficiency. Bcl-2, survivin, and androgen receptor genes involved in the cell apoptosis pathways were chosen as silencing targets with three different siRNAs. The colloidal nanocomplex delivery system (<10 nm in size) was formulated electrostatically between anionic siRNAs and a cationic drug (BZT), followed by encapsulation with the Pluronic F-68 polymer. The formulated nanocomplex system exhibited sufficient stability against nuclease-induced degradation, leading to successful intracellular delivery for the desired therapeutic performance. Silencing of targeted genes and apoptosis induction were evaluated in vitro on human prostate LNCaP-LN3 cancer cells by using various biological analysis tools (e.g., real-time PCR, MTT cell viability test, and flow cytometry). It was demonstrated that when the total loaded siRNA amounts were kept the same in the nanocomplexes, the simultaneous silencing of triple genes with co-loaded siRNAs (i.e., Bcl-2, survivin, and AR-targeting siRNAs) enhanced BZT-induced apoptosis of cancer cells more efficiently than the silencing of each single gene alone, offering a novel way of improving the efficacy of gene therapeutics including anticancer drug.

Antireflection Surfaces for Biological Analysis Using Laser Desorption Ionization Mass Spectrometry.

Laser desorption ionization mass spectrometry (LDI-MS) is a primary tool for biological analysis. Its success relies on the use of chemical matrices that facilitate soft desorption and ionization of the biomolecules, which, however, also limits its application for metabolomics study due to the chemical interference by the matrix compounds. The requirement for sample pretreatment is also undesirable for direct sampling analysis or tissue imaging. In this study, antireflection (AR) metal surfaces were investigated as sample substrates for matrix-free LDI-MS. They were prepared through ultrafast laser processing, with high light-to-heat energy conversion efficiency. The morphology and micro/nanostructures on the metal surfaces could be adjusted and optimized by tuning the laser fabrication process. The super-high UV absorption at 97% enabled highly efficient thermal desorption and ionization of analytes. The analytical performance for the matrix-free LDI was explored by analyzing a variety of biological compounds, including carbohydrates, drugs, metabolites, and amino acids. Its applicability for direct analysis of complex biological samples was also demonstrated by direct analysis of metabolites in yeast cells.

Cyclic Concatenated Genetic Encoder: A mathematical proposal for biological inferences

The organization of the genetic information and its ability to be conserved and translated to proteins with low error rates have been the subject of study by scientists from different disciplines. Recently, it has been proposed that living organisms display an intra-cellular transmission system of genetic information, similar to a model of digital communication system, in which there is the ability to detect and correct errors. In this work, the concept of Concatenated Genetic Encoder is introduced and applied to the analysis of protein sequences as a tool for exploring evolutionary relationships. For such purposes Error Correcting Codes (ECCs) are used to represent proteins. A methodology for representing or identifying proteins by use of BCH codes over ℤ20 and F4×ℤ5 is proposed and cytochrome b6-f complex subunit 6-OS sequences, corresponding to different plants species, are analyzed according to the proposed methodology and results are contrasted to phylogenetic and taxonomic analyses. Through the analyses, it was observed that using BCH codes only some sequences are identified, all of which differ in one amino acid from the original sequence. In addition, mathematical relationships among identified sequences are established by considering minimal polynomials, where such sequences showed a close relationship as revealed in the phylogenetic reconstruction. Results, here shown, point out that communication theory may provide biology of interesting and useful tools to identify biological relationships among proteins, however the proposed methodology needs to be improved and rigorously tested in order to become into an applicable tool for biological analysis.

MetaNetter 2: A Cytoscape plugin for ab initio network analysis and metabolite feature classification.

Metabolomics frequently relies on the use of high resolution mass spectrometry data. Classification and filtering of this data remain a challenging task due to the plethora of complex mass spectral artefacts, chemical noise, adducts and fragmentation that occur during ionisation and analysis. Additionally, the relationships between detected compounds can provide a wealth of information about the nature of the samples and the biochemistry that gave rise to them. We present a biochemical networking tool: MetaNetter 2 that is based on the original MetaNetter, a Cytoscape plugin that creates ab initio networks. The new version supports two major improvements: the generation of adduct networks and the creation of tables that map adduct or transformation patterns across multiple samples, providing a readout of compound relationships. We have applied this tool to the analysis of adduct patterns in the same sample separated under two different chromatographies, allowing inferences to be made about the effect of different buffer conditions on adduct detection, and the application of the chemical transformation analysis to both a single fragmentation analysis and an all-ions fragmentation dataset. Finally, we present an analysis of a dataset derived from anaerobic and aerobic growth of the organism Staphylococcus aureus demonstrating the utility of the tool for biological analysis.

Examination of Endogenous Peptides in Medicago truncatula Using Mass Spectrometry Imaging.

Plant science is an important, rapidly developing area of study. Within plant science, one area of study that has grown tremendously with recent technological advances, such as mass spectrometry, is the field of plant-omics; however, plant peptidomics is relatively underdeveloped in comparison with proteomics and metabolomics. Endogenous plant peptides can act as signaling molecules and have been shown to affect cell division, development, nodulation, reproduction, symbiotic associations, and defense reactions. There is a growing need to uncover the role of endogenous peptides on a molecular level. Mass spectrometric imaging (MSI) is a valuable tool for biological analyses as it allows for the detection of thousands of analytes in a single experiment and also displays spatial information for the detected analytes. Despite the prediction of a large number of plant peptides, their detection and imaging with spatial localization and chemical specificity is currently lacking. Here we analyzed the endogenous peptides and proteins in Medicago truncatula using matrix-assisted laser desorption/ionization (MALDI)-MSI. Hundreds of endogenous peptides and protein fragments were imaged, with interesting peptide spatial distribution changes observed between plants in different developmental stages.

Vibrio parahaemolyticus detection aptasensor using surface-enhanced Raman scattering

Surface-enhanced Raman scattering (SERS) is a flexible tool for biological analysis due to its excellent properties for detecting wide varieties of target biomolecules including pathogenic bacteria. In the present work, a highly selective and sensitive SERS-based aptasensor for the detection of Vibrio parahaemolyticus has been developed. An effective SERS substrate was designed and fabricated by synthesis of SiO2@Au core/shell nanoparticles (NPs). To selectively detect V. parahaemolyticus, we employed aptamer 1 (apt 1) immobilized on the surface of SiO2@Au core–shell NPs. The Raman signal intensity is from a cyanine dye 3 (Cy3) modified aptamer 2 (apt 2), which binds to the target the same as SiO2@Au-apt 1. In the presence of the target, SiO2@Au-apt 1-target-apt 2-Cy3 sandwich-like complexes form due to the high affinity and specificity of the aptamer for V. parahaemolyticus. Under optimal conditions, the correlation between the SERS signal and the V. parahaemolyticus concentration is linear within a range of 10–106 cfu mL−1, with a limit of detection of 10 cfu mL−1. This technique enables a straightforward SERS-based bioassay for quantitative detection of other pathogenic bacteria.

Polymorphisms of Genes Involved in the Folate Metabolic Pathway Impact the Occurrence of Unexplained Recurrent Pregnancy Loss.

Low levels of folate combined with high levels of homocysteine may cause unexplained recurrent pregnancy loss (URPL). However, the relationships between polymorphisms in genes of the folate metabolic pathway and URPL remain controversial. We conducted a case-control study to explore polymorphisms of the major folate pathway genes, including methylenetetrahydrofolate reductase (MTHFR) 677C>T, MTHFR 1298A>C, methionine synthase (MTR) 2756A>G, methionine synthase reductase (MTRR) 66A>G and reduced folate carrier 1 (RFC-1) 80A>G, and their associations with URPL. Polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) was used to determine the distributions of MTHFR, MTR and RFC-1 polymorphisms, and the results were validated using direct sequencing. The polymorphisms in MTRR were determined using direct sequencing. Haplotypes were analyzed using SHEsis, an online tool for biological analysis. We found that the MTHFR 677T allele and the 677T/1298A/2756A/66A/80G haplotype were risk factors for URPL, while the MTR 2756G allele and the 677C/1298A/2756A/66A/80A haplotype exhibited protective effects on susceptibility to URPL in a Chinese Han population from the Hangzhou area.

Hierarchical Stochastic Simulation Algorithm for SBML Models of Genetic Circuits.

This paper describes a hierarchical stochastic simulation algorithm, which has been implemented within iBioSim, a tool used to model, analyze, and visualize genetic circuits. Many biological analysis tools flatten out hierarchy before simulation, but there are many disadvantages associated with this approach. First, the memory required to represent the model can quickly expand in the process. Second, the flattening process is computationally expensive. Finally, when modeling a dynamic cellular population within iBioSim, inlining the hierarchy of the model is inefficient since models must grow dynamically over time. This paper discusses a new approach to handle hierarchy on the fly to make the tool faster and more memory-efficient. This approach yields significant performance improvements as compared to the former flat analysis method.

Invited: Nanowire Field-Effect Transistor-Based Biosensors as a Tool for Life Science

Silicon nanowire field-effect transistors (SiNW-FETs) have been used as a highly sensitive biosensor for label-free, real-time, and target selective detections in biomedical diagnosis and cellular-recording investigation. For practical uses, a reusable SiNW-FET was made possible with a reversible surface functionalization method, allowing for calibratable and quantitative analysis (Figure 1). In recent studies, we have applied SiNW-FETs for probing neurotransmitter release from living neurons, screening protein-protein interactions (Figure 2), detecting influenza virus, and monitoring extracellular K+ flux from stimulated chromaffin cells. In the study of protein-protein interactions, we integrated SiNW-FET with mass spectrometry (MS) for not only fast screening (by NW-FET) but also spectrally identifying (by MS) the unknown interacting proteins that were captured on the probe protein-modified SiNW-FET. To improve the sensitivity of SiNW-FETs, we designed a modification method to immobilize probe molecules only on the SiNW channel without contaminating the surrounding substrate, thus substantially enhancing the detection sensitivity. Recently, we developed an ultrasensitive biosensor for selective dopamine detection by an aptamer-modified multiple-parallel-connected (MPC) SiNW-FET with a detection limit of ~10 pM (Figure 3). This MPC SiNW-FET was applied to monitor the dopamine release under hypoxic stimulation from living PC12 cells. We resolved the controversial pathways that the increase in intracellular Ca2+ to trigger dopamine secretion is dominated by an extracellular Ca2+ influx, rather than the release of intracellular Ca2+ stores.In conclusion, SiNW-FET biosensors have been successfully applied in biological and cellular studies, including the label-free and real-time recordings of neurotransmitter release, protein-protein interaction, virus detection, dopamine release from stimulated excitable cells, and clinical diagnosis. Finally, this novel bio-nano-electronic FET device, which is capable of integrating with living cell systems, provides a promising tool for biological analysis and cellular investigation and adds a new item to the biosensor toolbox for the future studies of cell biology and clinical disease diagnosis.This work is partially supported by the Ministry of Science and Technology of Taiwan under NSC 101-2113-M-002-016-MY2 and NSC 102-2627-M-002-001.Figure 1. Taking advantage of the reversible association-dissociation between glutathione (GSH) and glutathione S-transferase (GST), we built a reusable SiNW-FET biosensor for fast screening protein-protein interactions. The strategy used in the study includes the association of GST-tagged calmodulin (represented by CaM-GST) with a GSH-modified SiNW-FET (referred to as GSH/SiNW-FET) to form CaM/SiNW-FET, the subsequent detection of interacting proteins with CaM, and the removal of bound proteins via the dissociation of GSH-GST with concentrated GSH (³1 mM) washing solution. (PNAS, 107, 1047 (2010))Figure 2. (a) An illustration for the detection of membrane fractions containing N-type voltage-gated Ca2+ channels (VGCCs) utilizing a CaM/SiNW-FET. (b–c) Real-time electrical detections of the binding of N-type VGCCs to the CaM/SiNW-FET in 0.1× PS (phosphate solution, consisting of 0.76 mM Na2HPO4 and 0.24 mM NaH2PO4 at pH 7.4) supplemented with (b) 100 mM Ca2+; (c) 500 mM EDTA. (d) Two control tests were conducted separately. (top graph) Electrical detection of the membrane fraction without the a1b subunit by CaM/SiNW-FET in 0.1× PS supplemented with 100 mM Ca2+. (bottom graph) Electrical detection of N-type VGCCs by GST/SiNW-FET (without CaM) in 0.1× PS supplemented with 100 mM Ca2+. (PNAS, 107, 1047 (2010))Figure 3. (a) Schematics illustrate (top graph) the experimental setup of a DNA-aptamer/MPC SiNW-FET for detecting dopamine exocytosis from living PC12 cells under hypoxic stimulation and (bottom graph) the procedure for immobilization of the DNA-aptamer on the surface of SiNW. (b) An illustration about how the hypoxic condition triggers the dopamine (DA) exocytosis by the escalation of intracellular Ca2+ concentration via the hypothetical pathway of either extracellular Ca2+ influx (solid line) or intracellular Ca2+ store release (dashed line). (c) Real-time recordings for the dopamine exocytosis from living PC12 cells under different hypoxic stimulations: (upper trace) 35% [O2] reduced buffer, (middle trace) 70% [O2] reduced buffer, and (bottom trace) 70% [O2] reduced buffer containing 1 mM CdI2. (JACS, 135, 16034 (2013))

Photochemical method for decoration of silver nanoparticles on filter paper substrate for SERS application

A facile photoreduction strategy to attach silver nanoparticles on filter paper (AgNPs@FP) to form surface‐enhanced Raman scattering (SERS) substrate array was proposed and examined. As prepared, SERS substrate array was applied to detect low concentration of adenine and other nucleobases in aqueous solutions. In addition, the formed SERS substrate array allows mass analysis of aqueous samples with a requirement of only 10 μL in sample volume. To optimize and understand the parameters in preparations, factors such as the concentrations of citrate and silver nitrate, photoreduction time, and concentration of sodium hydroxide were varied and examined. Para‐nitrothiophenol was used as a Raman probe molecule and scanning electron microscope (SEM) images of the substrates were used to explore the influences of experimental factors in the preparation of SERS array. Results indicated that silver ions could be effectively reduced and deposited in/on filter paper with the presence of citrate. The formed AgNPs@FP exhibits a three‐dimensional structure as the particles formed on and beneath the surface of the cellulosic fibers could be observed. Deposition of analyte on restricted substrate array rendered reproducible results and the spot‐to‐spot SERS intensity varied within 8%. At optimal conditions, the substrate enhancement factor approached 107. We demonstrated that the filter paper‐based SERS substrates can be used as a suitable tool for biological analysis, and a limit of detection better than 160 nM was obtained in detection of adenine molecules in aqueous solutions with a linear range up to 20 μM. Copyright © 2014 John Wiley &amp; Sons, Ltd.

NASR: An Effective Approach for Simultaneous Noise and Artifact Suppression in NMR Spectroscopy

As a powerful tool for biological analysis, especially protein structure and dynamic studies, nuclear magnetic resonance (NMR) spectroscopy suffers from intrinsic low signal to nose ratio (SNR) and long acquisition time required for multidimensional (nD) experiments. Nonuniform sampling (NUS) can effectively speed up the experiment but often introduces artifacts into the spectrum. In addition to the development of highly sensitive hardware and NMR pulse sequences, data postprocessing is a relative simple and cost-effective method to improve the SNR and suppress the artifacts. In this work, we propose an effective approach for simultaneously suppressing noise and artifacts based on the resampling principle. The method is named NASR for short and tested using one-, two-, and three-dimensional (1D, 2D, and 3D) NMR spectra that were acquired using ether conventional or NUS (spiral and random, for 3D) approaches. The results reveal that the NASR is fast and applicable for improving the quality of 1D to nD NMR spectra with all kinds of sampling schemes.