Electrical Characterization and Analysis of Single Cells and Related Applications.

Biological parameters extracted from electrical signals from various body parts have been used for many years to analyze the human body and its behavior. In addition, electrical signals from cancer cell lines, normal cells, and viruses, among others, have been widely used for the detection of various diseases. Single-cell parameters such as cell and cytoplasmic conductivity, relaxation frequency, and membrane capacitance are important. There are many techniques available to characterize biomaterials, such as nanotechnology, microstrip cavity resonance measurement, etc. This article reviews single-cell isolation and sorting techniques, such as the micropipette separation method, separation and sorting system (dual electrophoretic array system), DEPArray sorting system (dielectrophoretic array system), cell selector sorting system, and microfluidic and valve devices, and discusses their respective advantages and disadvantages. Furthermore, it summarizes common single-cell electrical manipulations, such as single-cell amperometry (SCA), electrical impedance sensing (EIS), impedance flow cytometry (IFC), cell-based electrical impedance (CEI), microelectromechanical systems (MEMS), and integrated microelectrode array (IMA). The article also enumerates the application and significance of single-cell electrochemical analysis from the perspectives of CTC liquid biopsy, recombinant adenovirus, tumor cells like lung cancer DTCs (LC-DTCs), and single-cell metabolomics analysis. The paper concludes with a discussion of the current limitations faced by single-cell analysis techniques along with future directions and potential application scenarios.

Role of the skin microbiota and intestinal microbiome in rosacea.

Rosacea is a chronic inflammatory cutaneous disorder of uncertain etiology that mainly affects the centrofacial region, including cheeks, nose, chin, forehead, and eyes. The pathogenesis of rosacea remains unclear because it involves several complex factors. Additionally, the potential treatment methods need to be explored. We reviewed the common bacterial species in the skin microbiota and gut microbiota of rosacea patients such as Demodex folliculorum, Staphylococcus epidermidis, Bacillus oleronius, Cutibacterium acnes, and Helicobacter pylori and identified their role in the pathogenesis. Besides, we summarized the influence factors such as temperature and age on rosacea patients. We also systematically reviewed the commonly used clinical treatment methods, including antibiotics, probiotics. as well as their treatment mechanism and application precautions.

IPACK (Interspace between the Popliteal Artery and the Capsule of the Posterior Knee) Block Combined with SACB (Single Adductor Canal Block) Versus SACB for Analgesia after Total Knee Arthroplasty.

OBJECTIVES: To evaluate the combination of the infiltration between the popliteal artery and the posterior capsule of the knee (iPACK) block and single adductor canal block (SACB) versus SACB for motor-sparing knee analgesia effects after total knee arthroplasty (TKA). METHODS: PubMed, Ovid, Cochrane Library, and other databases were searched from the inception to January 2021. Randomized controlled trials (RCTs) comparing patients receiving iPACK plus SACB with patients receiving SACB after TKA were included. The included studies were assessed by two reviewers according to the Cochrane risk of bias criteria. Meta-analysis was performed with STATA 13.0 software, the risk ratios (RR) and mean differences (MD) were used to compare dichotomous and continuous variables. The primary outcome was ambulation pain and secondary outcomes were rest pain, opioid consumption, function ability, clinical outcomes, and complications. RESULTS: Seven RCTs (304 knees in iPACK + SACB group; 305 knees in SACB group) were included. The follow-up periods ranged from 2 days to 3 months. Pooled data indicated lower pain scores at ambulation (p < 0.0001) for iPACK + SACB. When comparing the pain scores of subgroups analyzed at specific periods, lower scores in subgroups within 12 h (at rest and ambulation) and after 48 h (at ambulation) were observed in the iPACK + SACB group. Analysis demonstrated greater reduction in morphine consumption (p = 0.007) in the iPACK + SACB group. The iPACK + SACB group is also superior to the SACB group regarding function ability, which included range of motion (ROM) (p = 0.001), time up to go (TUG) test (p = 0.030), and ambulation distance (p < 0.0001). No difference was found in clinical outcomes or complications. CONCLUSIONS: With the iPACK added to SACB, pain scores, morphine consumption, functional ability were improved. Additional high-quality studies are required to further address this topic.

[The Results of ABO/RhD Blood Group and Comparative Analysis Detected by Two Methods in Infants Younger than 6 Months].

OBJECTIVE: To detect the ABO / RhD blood type of infants younger than 6 months in different gestational age and month old with automatic microcolumn glass sphere and tube method, and compare the result of the two methods. METHODS: The data of 896 samples of infants younger than 6 months from January 2018 to February 2019 was collected. The two methods were used to detect ABO/RhD blood type in all samples and compare the detection rate of ABO/RhD antigen and ABO reverse typing and agglutination intensity of the two methods. RESULTS: Three hundred and eight cases of type A (34.4%), 281 cases of type B (31.4%), 210 cases of type O (23.4%), 97 cases of type AB (10.8%), and 896 positive cases of RhD blood type were detected out by two methods. There were no significant differences of ABO/RhD antigen agglutination intensity between two methods (P > 0.05). Except for type AB, the detection rate of ABO reverse typing in infants with type B was significantly higher than that with type A and type O (P < 0.05). The agglutination intensity of type A reverse cell was higher than type B reverse cell (P < 0.05). The fully automatic microcolumn glass sphere method exhibited higher detection rate of ABO reverse typing in the samples of type A and type O group and agglutination intensity of ABO reverse typing in all types as compared with the tube method (P < 0.05). The detection rate and agglutination intensity of ABO reverse typing in term group were significantly higher than those in preterm group (P < 0.05). The fully automatic microcolumn glass sphere method exhibited higher detection rate of ABO reverse typing and agglutination intensity compared with the tube method between two groups (P < 0.05). The detection rate and agglutination intensity of ABO reverse typing in group IV (4-6 months old) were significantly higher than those in groups I, II and III (young than 3 months old) (P < 0.05). The fully automatic microcolumn glass sphere method exhibited higher detection rate of ABO reverse typing in I, II, III groups and agglutination intensity of ABO reverse typing in the 4 groups compared with the tube method (P < 0.05). CONCLUSION: ABO / RhD blood group antigen can be accurated detected in majority of infants, but the detection rate of ABO antibody is related to gestational age and month age of infants. The detection rate and agglutination intensity of the fully automatic microcolumn glass sphere method in ABO reverse typing are higher than those of the tube method, especially for premature infants and children within 3 months old.

Shape reconstruction based on a multicore optical fiber array with temperature self-compensation.

Temperature variations affect the accuracy of fiber-optic shape sensors; thus, temperature compensation is particularly important. This study developed a temperature self-compensation algorithm and verified the measuring accuracy of shape sensors after temperature compensation. A multicore fiber Bragg grating (FBG) sensor array was calibrated to confirm the consistency of sensor characteristics, and the relationship between the curvature and wavelength shift of FBGs was studied. A variable-temperature experiment revealed the temperature sensitivity of the FBG sensors, and these results were used by the temperature self-compensation algorithm. Further, shape reconstruction before and after temperature compensation was studied. The deformed shapes of the multicore FBG sensor array under different bending conditions were reconstructed. The results obtained after temperature compensation show that the average error between the measured and the theoretical coordinate values as less than 0.33 mm, the maximum error as less than 5.61 mm, and the relative error as less than 3.50%. The proposed temperature self-compensation algorithm has excellent prospects for application to flexible structures.

Circular RNA hsa_circ_0001178 facilitates the invasion and metastasis of colorectal cancer through upregulating ZEB1 via sponging multiple miRNAs.

Metastasis is the main cause of increasing cancer morbidity and mortality. However, the underlying mechanism of cancer metastasis remains largely unknown. In the present study, we identified one circular RNA (circRNA) closely related to the metastasis of colorectal cancer (CRC), namely hsa_circ_0001178. CRC patients with high hsa_circ_0001178 were more prone to have metastatic clinical features, advanced TNM stage and adverse prognosis. Stable knockdown of hsa_circ_0001178 significantly weakened CRC cell migratory and invasive capabilities in vitro as well as lung and liver metastases in vivo. Mechanistic study revealed that hsa_circ_0001178 acted as a competing endogenous RNA (ceRNA) for miR-382/587/616 to upregulate ZEB1 (a key trigger of epithelial-to-mesenchymal transition), thereby promoting CRC metastatic dissemination. Of note, ZEB1 could also increase hsa_circ_0001178 expression via physically binding to hsa_circ_0001178 promoter region. Collectively, our data uncover the crucial role of hsa_circ_0001178 in CRC metastasis, and targeted therapy based on this positive feedback ceRNA axis may be a promising treatment for metastatic CRC patients.

Encapsulation of chloroquine and doxorubicin by MPEG-PLA to enhance anticancer effects by lysosomes inhibition in ovarian cancer.

PURPOSE: As the deadliest gynecological malignancy, ovarian cancer ranks as a major cause of disease-related deaths to women worldwide and is treated with transurethral resection or systemic chemotherapy. However, traditional chemotherapeutic drug in antitumor therapy has shown unavoidable limitations, such as poor curative effects, systemic toxicity and development of drug resistance, leading to failure of tumor inhibition and recurrence. This study aims to explore an innovative method to enhance the clinical efficiency of ovarian cancer. MATERIALS AND METHODS: Using MTT assay, the cell viability was detected under different culture systems. Western blot was used to examine the expression of P-gp in doxorubicin-resistant and wild-type A2780/SKOV3 cells. We used confocal to examine the drug concentration under different culture conditions. Also, flow cytometry was used to detect the drug absorption at the determined time points under different culture systems. Using nude mice model, we evaluated the killing efficacy of chemotherapeutic drugs with or without nanoparticle encapsulation. ELISA was used to examine the levels of creatinine, alanine aminotransferase and aspartate aminotransferase in plasma. RESULTS: We found that pretreatment of chloroquine (CQ) as chemosensitizer markedly enhanced the anticancer effects in ovarian cancer. We also provided evidence that CQ efficiently increase the pH value of lysosomes in tumor cells, leading to the reverse of drug sequestration induced by lysosomes. To further improve the pharmacokinetics profiles and avoid the systemic toxicity caused by chemotherapeutic agents, we encapsulated CQ and chemotherapeutic drugs by polymeric nanoparticles methoxy poly(ethylene glycol)-poly(l-lactic acid). Codelivery of CQ and chemotherapeutic agents by nanocarrier revealed enhanced anticancer effects compared with the free drug delivery by tail vein injection. More importantly, accumulated drugs, prolonged drug circulation and reduced organic damages were observed in nanoparticles delivery. CONCLUSION: Codelivery of CQ and chemotherapeutic drugs by methoxy poly(ethylene glycol)-poly(l-lactic acid) could significantly improve the anticancer effects and might have important potency in clinical applications for ovarian cancer therapy.

LncHOXA10 drives liver TICs self-renewal and tumorigenesis via HOXA10 transcription activation.

BACKGROUND: Liver cancer is one of the most deadly cancers in the world. There are various cells in liver tumor bulk, including liver tumor initiating cells (TICs), which account for liver tumorigenesis, drug resistance, relapse and metastasis. The homeobox (HOX) transcription factors play critical roles in many physiological and pathological processes, while, their roles in liver TICs and liver tumorigenesis remain unknown. METHODS: An unbiased screening was performed using online-available datasets. Liver TICs were sorted by FACS using surface markers CD133, CD13 and EPCAM, or enriched by oncosphere formation assay. TIC self-renewal was examined by oncosphere formation and tumor initiation assay. Loss of function and gain of function assays were performed to examine the role of lncRNA. RNA pulldown, RNA immunoprecipitation, ChIP, Western blot and double FISH were used to explore the molecular mechanism of lncRNA. RESULTS: Here, we examined the expression pattern of HOX transcription factors, and found HOXA10 was overexpressed in liver cancer samples. Moreover, a divergent lncRNA of HOXA10 (termed lncHOXA10 hereafter) was also highly expressed in liver cancer and liver TICs. LncHOXA10 drove liver TIC self-renewal and liver tumorigenesis through HOXA10-dependent manner. LncHOXA10 interacted with SNF2L and recruited NURF chromatin remodeling complex to HOXA10 promoter, and thus initiated the transcription of HOXA10. Through HOXA10 transcriptional regulation, lncHOXA10 activated HOXA10 in liver TICs. LncHOXA10-HOXA10 signaling can be targeted to eliminate liver TICs. Altogether, lncHOXA10 drove HOXA10 expression and thus promoted liver TIC self-renewal. CONCLUSION: HOXA10 was the most highly expressed HOX transcription factor in liver cancer and liver TICs. LncHOXA10 drove the transcriptional activation of HOXA10. This work revealed the important role of HOX transcription factor in liver TIC self-renewal and added a new layer for liver TIC regulation.

[Comparison of Weak ABO Antigen and Normal ABO Antigen in Patients with Acute Leukemia].

OBJECTIVE: To compare the differences between weak ABO antigen patients and normal ABO antigen patients with acute leukemia, and to explore the clinical significance of weak ABO antigen in acute leukemia. METHODS: The ABO blood group was detected in 110 newly diagnosed acute leukemia patients(including 68 cases of AML and 42 cases of ALL) and 68 normal controls. Then the leukemia subtype, age, sex, laboratory test, risk status of leukemia patients, and DNA methylation of ABO promoter were compared between patients with weak and normal ABO antigen. RESULTS: The weak ABO antigen was found in patients with newly diagnosed acute leukemia, and was not found in ALL patients or normal group. No statistical differences were found in the distribution of ABO blood group, age, hepatosplenomegaly, lymphadenovarix, plt, precursor cell clusters derived from bone marrow, immunopheno-typing, LDH level, and risk status between AL patients of weak and normal ABO antigen groups (P>0.05). Compared with patients in normal ABO antigen group, the pateins in weak ABO antigen group had higher percentage of male(77.8% vs 30%), lower WBC(32.26×109/L vs 82.69×109/L) and Hb level(64.00 g/L vs 85.94 g/L) and higher DNA methylation level (18.91% vs 10.76%) (P<0.05). CONCLUSION: The cases of weak ABO antigen frequently appear in the male AML patients, the DNA methylation level of ABO gene promoter in patients with weak ABO antigen is significantly higher than that in patients with normal ABO antigen.

Diagnostic value of autoantibodies combined detection for rheumatoid arthritis.

BACKGROUND: Rheumatoid arthritis (RA) is a chronic, inflammatory and autoimmune disease, there are many autoantibodies produced during disease progression in the patients' serum, and this work is to select a best detection scheme for RA diagnosis. METHODS: Autoantibody levels including rheumatoid factor (RF), anti-cyclic citrullinated peptide (CCP), mutated citrullinated vimentin (MCV), anti-keratin antibodies(AKA), anti-perinuclear factor (APF), and Ig heavy chain binding protein (BIP), were measured, and the sensitivity, specificity, predictive values, accuracy, and Youden's index of different combining forms were all calculated in RA patients, disease, and healthy control group. The differences in the positive rates of the three groups were compared between any two of them. RESULTS: Generally speaking, the sensitivity of the autoantibodies detected in parallel combination was higher than that in tandem, which was more specific. The sensitivity of anti-MCV and RF calculated in parallel (87.61%) was obviously better than that of anyone autoantibody (P<.05), and only increased slightly even if more autoantibodies were tested in parallel (P>.05). The specificity of anti-CCP and BIP measured in tandem (95.92%) was obviously higher than that of anyone autoantibody (P<.05). While increasing the detected number of autoantibody from two kinds to three or more, the specificity was improved insignificantly (P>.05). CONCLUSION: Anti-BIP and CCP antibodies detected in tandem combination can obtain higher specificity, and have good clinical value for the differential diagnosis of RA.

Whole-Genome Shotgun Assembly and Analysis of the Genome of Streptomyces mobaraensis DSM 40847, a Strain for Industrial Production of Microbial Transglutaminase.

Here, we report the draft annotated genome sequence of Streptomyces mobaraensis strain DSM 40847, which is used in industry to produce microbial transglutaminase. The genome sequence will allow for the characterization of the molecular mechanisms underlying the beneficial properties of this organism.

The expanding role of electrospray ionization mass spectrometry for probing reactive intermediates in solution.

Within the past decade, electrospray ionization mass spectrometry (ESI-MS) has rapidly occupied a prominent position for liquid-phase mechanistic studies due to its intrinsic advantages allowing for efficient "fishing" (rapid, sensitive, specific and simultaneous detection/identification) of multiple intermediates and products directly from a "real-world" solution. In this review we attempt to offer a comprehensive overview of the ESI-MS-based methodologies and strategies developed up to date to study reactive species in reaction solutions. A full description of general issues involved with probing reacting species from complex (bio)chemical reaction systems is briefly covered, including the potential sources of reactive intermediate (metabolite) generation, analytical aspects and challenges, basic rudiments of ESI-MS and the state-of-the-art technology. The main purpose of the present review is to highlight the utility of ESI-MS and its expanding role in probing reactive intermediates from various reactions in solution, with special focus on current progress in ESI-MS-based approaches for improving throughput, testing reality and real-time detection by using newly developed MS instruments and emerging ionization sources (such as ambient ESI techniques). In addition, the limitations of modern ESI-MS in detecting intermediates in organic reactions is also discussed.

A generic approach for expanding homolog-targeted residue screening of sulfonamides using a fast matrix separation and class-specific fragmentation-dependent acquisition with a hybrid quadrupole-linear ion trap mass spectrometer.

A generic and efficient homolog-targeted approach was used to expand screening and detection of target class of sulfonamides and structural analogs, based on a fast single-tube extraction/partitioning-multifunction adsorption cleanup (SEP/MAC) for class-specific fragmentation-dependent acquisition with a liquid chromatography-hybrid triple-quadrupole linear ion trap mass spectrometer (LC-QqLIT). By combining the two-stage process conducted in a single tube as one-pot protocol, the straightforward SEP/MAC procedure was optimized to offer clean extracts with reasonable recovery (71-109% with RSDs<20%) and decreased matrix interferences (-9 to 19%) of multiresidual sulfonamide extraction from different tissue samples. The novel use of neutral loss scan of 66 Da (NLS) or precursor ion scanning of m/z 108 (PreS) in positive ion mode was found to achieve more comprehensive coverage of protonated molecular ions of a wide array of sulfonamides including N(4)-acetyl and hydroxylamine metabolites plus their possible dimers. Moreover, the PreS-triggered automatically enhanced product ion spectral acquisition enabled simultaneous screening, profiling and confirmation of an unlimited number of analytes belonging to the sulfonamide class within a single analysis. The validation and application results of the generic SEP/MAC-based LC-QqLIT strategy consistently demonstrated favorable performances with acceptable accuracy (67-116%), precision (RSDs<25%), and sensitivity (LOQs ≤ 7.5 ng g(-1)) to meet the acceptance criteria for all the sulfonamide-tissue combinations. Thus, the integration of the matrix-independent SEP/MAC procedure and the multiparameter matching algorithm with the unit-resolution LC-QqLIT instrument can serve as a valuable semi-targeted discovery strategy for rapid screening and reliable quantitative/confirmatory analysis of real samples.

Liquid chromatography-mass spectrometric multiple reaction monitoring-based strategies for expanding targeted profiling towards quantitative metabolomics.

Recent advances in analytical methodologies have made it possible to bring metabolomic profiling into quantitative metabolomics that permits precise measurements of comprehensive small-molecule profiles. Modern liquid chromatography-tandem mass spectrometry (LC-MS/MS) with multiple reaction monitoring (MRM) mode serves as the foundation for accurate simultaneous multi-analyte quantitation across large sample sets to provide high-quality information on target molecular profiles in complex systems. Despite the intrinsic multiplexing potential of the LC-MRM-MS technique, the key bottleneck in current LC-MRM-based assays is generally the limited analyte coverage and throughput capacity. Nowadays, the MRM-based approach has emerged as an attractive strategy for quantitative proteomic analysis and high-throughput biomarker discovery. So far, the full potential of the contemporary LCMRM methodology unleashed for quantitative metabolite profiling and metabolomic measurements of non-peptidic small molecules is rarely discussed. In this review we attempt to provide an overview on the major recent developments in LC-MRM-based strategies for quantitative profiling of multi- and non-target small molecules in biological samples. This article highlights the utility and power of the LC-MRM-based targeted approaches as valuable bioanalytical tools for low-cost, multiplexed quantitation on a large scale, with special emphasis on the promise of combining various strategies for expanding coverage and throughput of the LC-MRM-based assays to cover the gap between a widely targeted profiling and large-scale unknown screening towards comparative or quantitative metabolomics. General issues raised in metabolite profiling, such as basic aspects of bioanalysis, methodological dilemmas and challenges in quantitative metabolomics are addressed, and different strategies to circumvent the existing bottleneck and potential pitfalls of the current LC-MRM-MS techniques are outlined. In addition, the rudiments of LC-MRM-MS and its recent applications in combination with such strategies for biomarker quantitation and verification is also described.