Automatic prediction of obstructive sleep apnea event using deep learning algorithm based on ECG and thoracic movement signals

Obstructive sleep apnea (OSA) is a sleeping disorder that can cause multiple complications. Our aim is to build an automatic deep learning model for OSA event detection using combined signals from the electrocardiogram (ECG) and thoracic movement signals. We retrospectively obtained 420 cases of PSG data and extracted the signals of ECG, as well as the thoracic movement signal. A deep learning algorithm named ResNeSt34 was used to construct the model using ECG with or without thoracic movement signal. The model performance was assessed by parameters such as accuracy, precision, recall, F1-score, receiver operating characteristic (ROC), and area under the ROC curve (AUC). The model using combined signals of ECG and thoracic movement signal performed much better than the model using ECG alone. The former had accuracy, precision, recall, F1-score, and AUC values of 89.0%, 88.8%, 89.0%, 88.2%, and 92.9%, respectively, while the latter had values of 84.1%, 83.1%, 84.1%, 83.3%, and 82.8%, respectively. The automatic OSA event detection model using combined signals of ECG and thoracic movement signal with the ResNeSt34 algorithm is reliable and can be used for OSA screening.</p

Rational design of liquid metal organic frameworks for the enhanced CO2 absorption and their photocatalytic reduction

Metal organic frameworks (MOFs) has been widely investigated as co-catalysts for photocatalysis owing to their unique property for controlling the reaction kinetics. They are generally presented in a solid state. Recent studies have presented MOF in the liquid phase, meanwhile preserving the framework structure. Acting as a co-catalyst, significantly improved efficiency has been realized for photocatalytic CO2 reduction. This concept article focuses on the chemical principle of liquid MOF (LMOF). Their applications in CO2 adsorption and the photocatalytic CO2 reduction have been discussed with showing key examples. In addition, the other relevant applications of LMOF have been presented. </p

Multifunctional Probe Based on Cationic Conjugated Polymers for Nitroreductase-Related Analysis: Sensing, Hypoxia Diagnosis, and Imaging

Nitroreductase (NTR) is overexpressed in hypoxic tumors. Moreover, hypoxia is usually considered as the most important feature of various diseases. Thus, it is important to build a sensitive and selective method for NTR detection and hypoxia diagnosis. Herein, a new cationic conjugated polymer (PBFBT-NP) with <i>p</i>-nitrophenyl group in the side chain was designed and synthesized as a fluorescent probe for the detection of NTR. In the absence of NTR, the fluorescence of PBFBT-NP was quenched due to photoinduced electron transfer (PET). On the contrary, in the presence of NTR, NTR can specifically react with <i>p</i>-nitrophenyl group to form <i>p</i>-aminophenyl group, which leads to the PET being inhibited and the polymer’s fluorescence significantly increasing (>110-fold). The sensitive and selective NTR sensing method in vitro is thus constructed with a low detection limit of 2.9 ng/mL. Moreover, the hypoxic status of tumor cells can be visualized by fluorescence bioimaging with very low cytotoxicity. Interestingly, the probe was successfully used for imaging an NTR-expressed microorganism, such as <i>E. coli</i>, and showed excellent antibacterial activity against <i>E. coli</i> under white light irradiation. In brief, this multifunctional probe is promising for widespread use in NTR-related biological analysis

Dendrogram plot based on cluster analysis of 97 polymorphic EST-SSR markers by UPGMA.

<p>The 12 jute accessions classified into two main groups of dark and white jute, further into five subgroups.</p

Development and Characterization of 1,906 EST-SSR Markers from Unigenes in Jute (<i>Corchorus</i> spp.)

<div><p>Jute, comprising white and dark jute, is the second important natural fiber crop after cotton worldwide. However, the lack of expressed sequence tag-derived simple sequence repeat (EST-SSR) markers has resulted in a large gap in the improvement of jute. Previously, de novo 48,914 unigenes from white jute were assembled. In this study, 1,906 EST-SSRs were identified from these assembled uingenes. Among these markers, di-, tri- and tetra-nucleotide repeat types were the abundant types (12.0%, 56.9% and 21.6% respectively). The AG-rich or GA-rich nucleotide repeats were the predominant. Subsequently, a sample of 116 SSRs, located in genes encoding transcription factors and cellulose synthases, were selected to survey polymorphisms among12 diverse jute accessions. Of these, 83.6% successfully amplified at least one fragment and detected polymorphism among the 12diverse genotypes, indicating that the newly developed SSRs are of good quality. Furthermore, the genetic similarity coefficients of all the 12 accessions were evaluated using 97 polymorphic SSRs. The cluster analysis divided the jute accessions into two main groups with genetic similarity coefficient of 0.61. These EST-SSR markers not only enrich molecular markers of jute genome, but also facilitate genetic and genomic researches in jute.</p></div

Frequencies of EST-SSR number based on unigenes in jute.

<p>Frequencies of EST-SSR number based on unigenes in jute.</p

Additional file 3 of Circular RNA hsa_circ_0067842 facilitates tumor metastasis and immune escape in breast cancer through HuR/CMTM6/PD-L1 axis

Additional file

Additional file 1 of Circular RNA hsa_circ_0067842 facilitates tumor metastasis and immune escape in breast cancer through HuR/CMTM6/PD-L1 axis

Additional file 1: Figure S1. The genomic locus and characteristics of hsa_circ_0067842. A Schematic diagram showing the conservation of hsa_circ_0067842. B Schematic diagram showing the genomic locus and the flanking introns with ALU sequence of hsa_circ_0067842 (upper). Complementary ALU sequence (FLAM_A-AluJb and FLAM_A-AluSg) in the flanking introns of SMC4 exon 12 to exon 17 (lower). C Expression of SMC4 across diverse normal human tissues from GTEx ( https://www.gtexportal.org/home/index.html ); Figure S2. The effects of hsa_circ_0067842 on proliferation of BC cells in vitro. A qRT-PCR detecting the expression of SMC4 in BC cells after transfection of the NC or hsa_circ_0067842 plasmid and siRNAs si-NC, si-hsa_circ_0067842-1, si-hsa_circ_0067842-2. B CCK-8 assays in hsa_circ_0067842-overexpressing MCF-7 or hsa_circ_0067842-depleted MDA-MB-231 cells. C Colony formation assays in hsa_circ_0067842-overexpressing MCF-7 or hsa_circ_0067842-depleted MDA-MB-231 cells; Figure S3. The relationship among hsa_circ_0067842, HuR, and CMTM6. A The binding sites of hsa_circ_0067842 and HuR predicted by RBP suite. B Secondary structure of hsa_circ_0067842 and high probable binding regions. C The transfection efficiency of si-CMTM6s in BT-549 and MCF-7 cells was verified by qRT-PCR and western blot. D The expression of CMTM6 in rescue experiments was assessed by qRT-PCR and western blo

Additional file 2 of Circular RNA hsa_circ_0067842 facilitates tumor metastasis and immune escape in breast cancer through HuR/CMTM6/PD-L1 axis

Additional file 2: Table S1. Correlation between hsa_circ_0067842 expression and clinicopathological characteristics; Table S2. Sequences of primers used for qRT-PCR in this study; Table S3. Sequences of probes used in this study; Table S4. Antibodies for Immunoblotting in this study; Table S5. Oligonucleotides used in the stud

Using Labtutor in Undergraduate teaching

The cell death/necrosis rate was determined by FACS in both 2-DG treated HL-60 and NB-4 cells with or without TIGAR knockdown. (JPEG 851 kb