基于微流控芯片的72重单核苷酸多态性族群推断系统的构建

建立了常染色体单核苷酸多态性（SNPs）复合检测芯片体系,用于未知个体的族群来源推断。基于前期筛选的74-SNPs组合,采用竞争性等位基因特异性聚合酶链式反应（PCR）的原理构建SNPs的扩增体系,在微流控芯片的每个反应孔内完成一个SNP的检测,通过高通量PCR微流控芯片实现了其中72个SNPs的同步检测。芯片的扩增由平板PCR仪完成,反应孔的荧光信号通过激光共聚焦扫描仪检测,最终通过提取的荧光值进行结果分析。使用该芯片检测获得52份样本的SNPs分型,分型结果的准确率为100%。以57个人群的3628个样本为参考人群数据库,进行20份样本的族群来源推断,推断结果与样本的实际来源一致。本研究建立的常染色体72个SNPs微流控芯片体系可以有效地进行SNP多态性分析检测,基于参考数据库,20份检测样本族群推断的准确性为100%。     

High-throughput quantitative detection of triple-negative breast cancer-associated expressed miRNAs by rolling circle amplification on fluorescence-encoded microspheres

Compared with other types of breast cancer, triple-negative breast cancer(TNBC) has the characteristics of a high degree of malignancy and poor prognosis. Early diagnosis of TNBC through biological markers and timely development of effective treatment methods can reduce its mortality. Many Research experiments have confirmed that some specific mi RNA expression profiles in TNBC can used as markers for early diagnosis. However, detecting the expression profiles of multiple groups of miRNAs accord...     

A new set of DIP‐SNP markers for detection of unbalanced and degraded DNA mixtures

Unbalanced and degraded mixtures (UDM) are frequently encountered during forensic DNA analysis. For example, forensic DNA units regularly encounter DNA mixture signal where the DNA signal from the alleged offender is masked or swamped by high quantities of DNA from the victim. Our previous data presented a new kind of DNA markers that composed of a deletion/insertion polymorphism (DIP) and a SNP and we termed this new kind of microhaplotypes DIP‐SNP (combination of DIP and SNP). Since such markers could be designed short enough for degraded DNA amplification, we hypothesized that DIP‐SNP markers are applicable for typing of UDM. In this study, we developed a new set of DIP‐SNPs with short amplicons which were complement to our prior developed system. The multiplex PCR and SNaPshot assay were established for 20 DIP‐SNPs in a Chinese Han population. The DIP‐SNPs were capable of detecting the minor contributor's allele in home‐made DNA mixture with sensitivities from 1:100 to 1:1000 with a total of 1 –10 ng input DNA. Moreover, this system successfully typed the degraded DNA whether it came from the single source or mixture samples. In Chinese population, the system showed an average informative value of 0.293 and combined informative value of 0.998363862. Our results demonstrated that DIP‐SNPs may serve as a valuable tool in detection of UDM in forensic medicine.     

Developing a new nonbinary SNP fluorescent multiplex detection system for forensic application in China

Nonbinary single‐nucleotide polymorphisms (SNPs) are potential forensic genetic markers because their discrimination power is greater than that of normal binary SNPs, and that they can detect highly degraded samples. We previously developed a nonbinary SNP multiplex typing assay. In this study, we selected additional 20 nonbinary SNPs from the NCBI SNP database and verified them through pyrosequencing. These 20 nonbinary SNPs were analyzed using the fluorescent‐labeled SNaPshot multiplex SNP typing method. The allele frequencies and genetic parameters of these 20 nonbinary SNPs were determined among 314 unrelated individuals from Han populations from China. The total power of discrimination was 0.9999999999994, and the cumulative probability of exclusion was 0.9986. Moreover, the result of the combination of this 20 nonbinary SNP assay with the 20 nonbinary SNP assay we previously developed demonstrated that the cumulative probability of exclusion of the 40 nonbinary SNPs was 0.999991 and that no significant linkage disequilibrium was observed in all 40 nonbinary SNPs. Thus, we concluded that this new system consisting of new 20 nonbinary SNPs could provide highly informative polymorphic data which would be further used in forensic application and would serve as a potentially valuable supplement to forensic DNA analysis.     

Simultaneous detection of intracellular tumor mRNA with bi-color imaging based on a gold nanoparticle/molecular beacon

The successful treatment of most cancers depends on early detection. Tumor mRNA as a specific marker provides new avenues to monitor tumor progression in the early stages and assesses response to treatment. However, single tumor mRNA testing usually yields "false positive" results because cancer is associated with multiple tumor mRNA. It is indispensable to develop simple and effective approaches for the detection of multiple tumor mRNA. In this study, we used a combination of tumor-specific mRNA markers to avoid the inherent limitations associated with the single-marker technique. A gold nanoparticle (AuNP) was assembled with a bi-molecular beacon (bi-MB), and termed AuNP/bi-MB, which simultaneously targeted to two types of tumor mRNA in breast cancer cells. This imaging agent could prevent effectively false positive results and provide comprehensive and dependable information for the early detection of cancer. It would be beneficial to identify the stage of tumor progression and assess treatment decisions with the real-time detection of the relative expression levels of tumor mRNA in cancer cells. This strategy would offer an appealing approach toward the early detection of cancer by using multianalysis of tumor mRNA.     

Evaluation of the polymorphic D-loop of Columba livia in forensic applications

We report on the polymorphisms exhibited by three hypervariable regions within the D-loop of Columba livia (pigeon) mitochondrial DNA. A total of 131 samples were taken from 131 randomly selected birds and used in the analyses of SNPs, a variable number of tandem repeats (VNTR) and an STR locus using CE. The number of repeats for the VNTR ranged from 2 to 8 producing 21 haplotypes, with 54 individuals exhibiting heteroplasmy. The STR locus exhibited multiple and continuous repeats within each individual and these patterns were not reproducible with individuals of the same maternal lineage, where different haplotypes were noted. Combining the SNP and VNTR loci produced 38 haplotypes, with the power of discrimination being 0.93. The polymorphic regions of D-loop observed in this study are potential markers for maternal relationship identification.     

A comprehensive profile of DNA copy number variations in a Korean population: identification of copy number invariant regions among Koreans

To examine copy number variations among the Korean population, we compared individual genomes with the Korean reference genome assembly using the publicly available Korean HapMap SNP 50 k chip data from 90 individuals. Korean individuals exhibited 123 copy number variation regions (CNVRs) covering 27.2 mb, equivalent to 1.0% of the genome in the copy number variation (CNV) analysis using the combined criteria of P value (P < 0.01) and standard deviation of copy numbers (SD ≥ 0.25) among study subjects. In contrast, when compared to the Affymetrix reference genome assembly from multiple ethnic groups, considerably more CNVRs (n = 643) were detected in larger proportions (5.0%) of the genome covering 135.1 mb even by more stringent criteria (P < 0.001 and SD ≥ 0.25), reflecting ethnic diversity of structural variations between Korean and other populations. Some CNVRs were validated by the quantitative multiplex PCR of short fluorescent fragment (QMPSF) method, and then copy number invariant regions were detected among the study subjects. These copy number invariant regions would be used as good internal controls for further CNV studies. Lastly, we demonstrated that the CNV information could stratify even a single ethnic population with a proper reference genome assembly from multiple heterogeneous populations.     

Fabrication of immunosensor microwell arrays from gold compact discs for detection of cancer biomarker proteins

A simple method is reported to fabricate gold arrays featuring microwells surrounding 8-electrodes from gold compact discs (CDs) for less than $0.2 per chip. Integration of these disposable gold CD array chips with microfluidics provided inexpensive immunoarrays that were used to measure a cancer biomarker protein quickly at high sensitivity. The gold CD sensor arrays were fabricated using thermal transfer of laserjet toner from a computer-printed pattern followed by selective chemical etching. Sensor elements had an electrochemically addressable surface area of 0.42 mm(2) with RSD <2%. For a proof-of-concept application, the arrays were integrated into a simple microfluidic device for electrochemical detection of cancer biomarker interleukin-6 (IL-6) in diluted serum. Capture antibodies of IL-6 were chemically linked onto the electrode arrays and a sandwich immunoassay protocol was developed. A biotinylated detection antibody with polymerized horseradish peroxidase labels was used for signal amplification. The detection limit of IL-6 in diluted serum was remarkably low at 10 fg mL(-1) (385 aM) with a linear response with log of IL-6 concentration from 10 to 1300 fg mL(-1). These easily fabricated, ultrasensitive, microfluidic immunosensors should be readily adapted for sensitive detection of multiple biomarkers for cancer diagnostics.     

Bioinformatical evaluation of modified nucleosides as biomedical markers in diagnosis of breast cancer

It is known that patients suffering from cancer diseases excrete increased amounts of modified nucleosides with their urine. Especially methylated nucleosides have been proposed to be potential tumor markers for early diagnosis of cancer. For determination of nucleosides in randomly collected urine samples, the nucleosides were extracted using affinity chromatography and then analyzed via reversed phase high-performance liquid chromatography (HPLC) with UV-detection. Eleven nucleosides were quantified in urine samples from 51 breast cancer patients and 65 healthy women.The measured concentrations were used to train a Support Vector Machine (SVM) and a k-nearest-neighbor classifier (k-NN) to discriminate between healthy control subjects and patients suffering from breast cancer. Evaluations of the learned models by computing the leave-one-out error and the prediction error on an independent test set of 29 subjects (15 healthy, 14 breast cancer patients) showed that by using the eleven nucleosides, the occurrence of breast cancer could be forecasted with 86% specificity and 94% sensitivity when using an SVM and 86% for both specificity and sensitivity with the k-NN model.     

Multiplex detection platform for tumor markers and glucose in serum based on a microfluidic microparticle array

We present a multiplex detection platform based on a microfluidic microparticle array to detect proteins and glucose in serum simultaneously. Multiplex detection of proteins and glucose was performed using biofunctionalized microparticles arrayed on gel-based microstructures integrated in microfluidics. The microparticles immobilized on these microstructures showed high stability under microfluidic flow conditions. With arrays of antibody-coated microbeads, microfluidic quantitative immunoassays for two protein tumor markers, human chorionic gonadotropin (hCG) and prostate specific antigen (PSA) were performed in serum samples with detection limits bellow the cut-off values for cancer diagnosis. Parallel to the immunoassays, quantitative enzymatic assays for glucose in the physiological concentration range were performed. Multiplex detection was achieved by using a spatially encoded microarray. By patterning antibody-coated microbeads and enzyme-containing microparticles on a novel mixed structure array, we successfully demonstrated simultaneous immunoassays (binding based assay) for proteins and an enzymatic assay (reaction kinetic based assay) for glucose. Our microparticle arrays could be potentially used for the detection of multiple categories of biomolecules (proteins, small metabolites and DNA) for clinical diagnostics and other biological applications.     

Microarray and nanotechnology applications of functional nanoparticles

Microarrays are a sensitive, specific, miniaturized devices that may be used to detect selected DNA sequences and proteins, or mutated genes associated with human diseases. Several methods have been developed to detect the binding of complementary molecules to microarrays by generating an optical signal. One of the most commonly used molecular labeling methods at present is fluorescence, but its application is expensive due to sophisticated equipment required to design the platform, hybridize it, and interpret the images derived from microarray-based studies. This is a drawback for its use in laboratories and clinical services. Another less expensive procedure having similar sensitivity and specificity is DNA and protein functional nanoparticles (FNP). Nanoparticles are sphere-like biocompatible materials made of inert silica, metal or crystals of a nanometer in size, which are generally coated with a thin gold layer. They may be used as hybridization probes in single nucleotide polymorphism (SNP) screening and to detect biological markers for cancer, infection, and cardiovascular diseases.     

A proteomics study on human breast cancer cell lines by fluorogenic derivatization-liquid chromatography/tandem mass spectrometry

Although several molecular markers for human breast cancer exist, their versatility is limited. Here we demonstrate, through a differential proteome analysis utilizing the fluorogenic derivatization-liquid chromatography/tandem mass spectrometry (FD-LC-MS/MS) method between seven cancer cells and one normal cell, that the presence of cooperatively expressed annexin-2 and galectin-1 without tropomyosin-1 in a tissue could be used to diagnose metastatic breast cancer. Interestingly, in a metastatic cancer cell, the expression of the former two together with highly expressed cofilin-1 activates the Rho signal pathway to aggressively form disorganized actin filaments. Despite the excess expression of annexin-2 and galectin-1 in the normal cell, the highly expressed tropomyosin-1 counteracted the activity of cofilin-1 and stabilized the filaments, resulting in the restoration of the disorganization. This phenomenon suggests that enhancement of tropomyosin-1 should be used as therapy for metastatic breast cancer.     

Anti-epidermal growth factor receptor (anti-EGFR) antibody conjugated fluorescent nanoparticles probe for breast cancer imaging

Fluorescent nanoparticles (FNs) with unique optical properties may be useful as biosensors in living cancer cell imaging and cancer targeting. In this study, anti-EGFR antibody conjugated fluorescent nanoparticles (FNs) (anti-EGFR antibody conjugated FNs) probe was used to detect breast cancer cells. FNs with excellent character such as non-toxicity and photostability were first synthesized with a simple, cost-effective and environmentally friendly modified Stőber synthesis method, and then successfully modified with anti-EGFR antibody. This kind of fluorescence probe based on the anti-EGFR antibody conjugated FNs has been used to detect breast cancer cells with fluorescence microscopy imaging technology. The experimental results demonstrate that the anti-EGFR antibody conjugated FNs can effectively recognize breast cancer cells and exhibited good sensitivity and exceptional photostability, which would provide a novel way for the diagnosis and curative effect observation of breast cancer cells and offer a new method in detecting EGFR.     

Exact quantification of time signals from magnetic resonance spectroscopy by the fast Padé transform with applications to breast cancer diagnostics

Mathematical modeling via the fast Padé transform (FPT) is applied according to experimental NMR data encoded from (a) normal, non-infiltrated breast tissue, (b) benign pathology (fibroadenoma) and (c) malignant breast tissue. At a partial signal length N _P  = 1500, the FPT provided exact reconstruction of all the input spectral parameters for the time signals corresponding to the normal, benign as well as to the malignant lesions. The converged parametric results remained stable at longer signal lengths. The Padé absorption spectra yielded unequivocal resolution of all the extracted physical metabolites, even of those that were nearly completely overlapping (phosphocholine and phosphoethanolamine at 3.22 ppm). The capacity of the FPT to resolve and precisely quantify the physical resonances as encountered in normal versus benign versus malignant breast is demonstrated. In particular, the FPT unambiguously delineated and quantified diagnostically important metabolites such as lactate, as well as choline, phosphocholine and glycerophosphocholine that are very closely overlapping and may represent MR-retrievable molecular markers of breast cancer. This was achieved by the FPT without any fitting or numerical integration of peak areas. We conclude that these advantages of the FPT could be of definite benefit for breast cancer diagnostics via NMR and that this line of investigation should continue with encoded data from benign and malignant breast tissue, in vitro and in vivo. We anticipate that Padé-optimized MRS will reduce the false positive rates of MR-based modalities and further improve their sensitivity. Once this is achieved, and given that MR entails no ionizing radiation, new possibilities for screening/early detection open up, especially for risk groups, e.g. Padé-optimized MRS could be used with greater surveillance frequency among younger women with high breast cancer risk.     

Genome-wide single-nucleotide polymorphism arrays demonstrate high fidelity of multiple displacement-based whole-genome amplification

Whole-genome DNA amplification by multiple displacement (MD-WGA) is a promising tool to obtain sufficient DNA amounts from samples of limited quantity. Using Affymetrix' GeneChip Human Mapping 10K Arrays, we investigated the accuracy and allele amplification bias in DNA samples subjected to MD-WGA. We observed an excellent concordance (99.95%) between single-nucleotide polymorphisms (SNPs) called both in the nonamplified and the corresponding amplified DNA. This concordance was only 0.01% lower than the intra-assay reproducibility of the genotyping technique used. However, MD-WGA failed to amplify an estimated 7% of polymorphic loci. Due to the algorithm used to call genotypes, this was detected only for heterozygous loci. We achieved a 4.3-fold reduction of noncalled SNPs by combining the results from two independent MD-WGA reactions. This indicated that inter-reaction variations rather than specific chromosomal loci reduced the efficiency of MD-WGA. Consistently, we detected no regions of reduced amplification, with the exception of several SNPs located near chromosomal ends. Altogether, despite a substantial loss of polymorphic sites, MD-WGA appears to be the current method of choice to amplify genomic DNA for array-based SNP analyses. The number of nonamplified loci can be substantially reduced by amplifying each DNA sample in duplicate.     

Graphene-Based Biosensors with High Sensitivity for Detection of Ovarian Cancer Cells

Ovarian cancer has the highest mortality rate in the world. Therefore, it is urgent but still challenging to develop an efficient circulating tumor cell (CTC) detection method to sensitively detect ovarian cancer. To address such issues, herein, for the first time, we present a novel CTC detection method for ovarian cancer cells by designing sensitive and rapid graphene-based biosensors. This graphene-based sensor, consisting of a cell pool and two electrodes, can be prepared by a conventional chip fabrication process. It demonstrates high-sensitivity detection even for several ovarian cancer cells by comparing the electrical signal before and after adding cell solution. Moreover, the graphene-based biosensors can perform rapid detection with good repeatability. This suggests that this novel method is possible to use for the early detection of ovarian cancer with very low CTC cell concentration. This work provides a novel and quick strategy to detect ovarian cancer and further judge or predict the risk of the transfer of ovarian cancer.     

cyc-DEP: Cyclic immunofluorescence profiling of particles collected using dielectrophoresis

Cancer is a highly heterogenous disease that requires precise detection tools and active surveillance methods. Liquid biopsy assays provide an agnostic way to follow the complex trajectory of cancer, providing better patient stratification tools for optimized treatment. Here, we present the development of a low-volume liquid biopsy assay called cyc-DEP (cyclic immunofluorescent imaging on dielectrophoretic chip) to profile biomarkers collected on a dielectrophoretic microfluidic chip platform. To enable on-chip cyclic imaging, we optimized a fluorophore quenching method and sequential rounds of on-chip staining with fluorescently conjugated primary antibodies. cyc-DEP allows for the quantification of a multiplex array of proteins using 25 µl of a patient plasma sample. We utilized nanoparticles from a prostate adenocarcinoma (LNCaP) cell line and a panel of six target proteins to develop our proof-of-concept technique. We then used cyc-DEP to quantify blood plasma levels of target proteins from healthy individuals, low-grade and high-grade prostate cancer patients (n = 3 each) in order to demonstrate that our platform is suitable for liquid biopsy analysis in its present form. To ensure accurate quantification of signal intensities and comparisons between different samples, we incorporated a signal intensity normalization method (fluorescent beads) and a custom signal intensity quantification algorithm that account for the distribution of signal across hundreds of collection regions on each chip. Our technique enabled a threefold improvement in multiplicity for detecting proteins associated with fluid samples, opening doors for early detection, and active surveillance through quantification of a multiplex array of biomarkers from low-volume liquid biopsies.     

Detection of single nucleotide polymorphism using tension-dependent stochastic behavior of a single-molecule template

Single nucleotide polymorphism (SNP) is the most common genetic variation among individuals. The association of SNP with individual's response to pathogens, phenotypic variations, and gene functions emphasizes the importance of sensitive and reliable SNP detection for biomedical diagnosis and therapy. To increase sensitivity, most approaches employ amplification steps, such as PCR, to generate detectable signals that are usually ensemble-averaged. Introduction of amplification steps increases the complexity of a system, whereas ensemble averaging of signals often suffers from background interference. Here, we have exploited the stochastic behavior of a single-molecule probe to recognize SNP sequence in a microfluidic platform using a laser-tweezers instrument. The detection relies on on-off mechanical signals that provide little background interference and high specificity between wild type and SNP sequences. The microfluidic setting allows multiplex sensing and in situ recycling of the SNP probe. As a proof-of-concept, we have detected as low as 100 pM of an SNP target associated with coronary heart diseases within half an hour without any amplification steps. The mechanical signal permits the detection of single mutations involving either G/C or A/T pairs. We anticipate this system has the capacity to function as a highly sensitive generic biosensor after incorporation of a specific recognition element, such as an aptamer for example.     

Recent Advancements in the Development of Anti-Breast Cancer Synthetic Small Molecules

Among all cancer types, breast cancer (BC) still stands as one of the most serious diseases responsible for a large number of cancer-associated deaths among women worldwide, and diagnosed cases are increasing year by year worldwide. For a very long time, hormonal therapy, surgery, chemotherapy, and radiotherapy were used for breast cancer treatment. However, these treatment approaches are becoming progressively futile because of multidrug resistance and serious side effects. Consequently, there is a pressing demand to develop more efficient and safer agents that can fight breast cancer belligerence and inhibit cancer cell proliferation, invasion and metastasis. Currently, there is an avalanche of newly designed and synthesized molecular entities targeting multiple types of breast cancer. This review highlights several important synthesized compounds with promising anti-BC activity that are categorized according to their chemical structures.