The effect of Cytl1 on JAR spheroid adhesion to endometrial cells.

<p>The percentages of JAR spheroid adhesion to HEC-1-A (<b>A</b>) and RL95-2 (<b>B</b>) cells were determined using cell-cell adhesion assays; JAR spheroid adhesion was quantified using CCK8 assays; results are presented as optical density (OD) (<b>C</b>). P, progesterone. Data represent mean±SEM of three independent experiments. *<i>P</i> < 0.05; **<i>P</i> < 0.01.</p

Effects of Cytl1 on endometrial cell proliferation.

<p>Proliferation of HEC-1-A (<b>A</b>) and RL95-2 (<b>B</b>) cells after treatment with different concentrations of Cytl1 or control were determined by CCK-8 assay. Proliferation is represented by optical density (OD) values. P, progesterone. Data represent mean±SEM. *<i>P</i> < 0.05; **<i>P</i> < 0.01.</p

The effect of Cytl1 on the endometrial expression of LIF and HB-EGF.

<p>(<b>A</b>) Reverse -transcription PCR analysis of LIF and HB-EGF mRNA expressions in human endometrial cell lines (HEC-1-A, RL95-2) after treatment with different concentrations of Cytl1. LIF expression in the culture supernatant of HEC-1-A (<b>Ba</b>) and RL95-2 (<b>Bc</b>), and HB-EGF expression in HEC-1-A (<b>Bb</b>) and RL95-2 (<b>Bd</b>) were detected by ELISA. The standard curve prepared according to manufacturer’s instruction was used to determine sample concentrations. P, progesterone. Data represent mean±SEM. *<i>P</i> < 0.05; **<i>P</i> < 0.01.</p

The effects of ovarian hormones on endometrial Cytl1 expression.

<p>(<b>A</b>) Reverse-transcription PCR analysis of Cytl1 mRNA expression in vitro after treatment with ovarian hormones or control (<b>B</b>). Greyscale analysis of Cytl1 expression relative to β-actin expression. Cytl1 protein expression regulated by ovarian hormones or control were analyzed by ELISA in human endometrial cell lines HEC-1-A (<b>C</b>), RL95-2 (<b>D</b>) and the human trophoblastic cell line JAR. (<b>E</b>) Cytl1 expression levels are represented by OD₄₅₀ values, and (<b>F</b>) the positive control represents the result of standard sample detected by ELISA. Data shown for each sample are average of results from three array wells. P, progesterone; E, estradiol. Data represent mean±SEM. *<i>P</i> < 0.05; **<i>P</i> < 0.01.</p

Universal Dynamic DNA Assembly-Programmed Surface Hybridization Effect for Single-Step, Reusable, and Amplified Electrochemical Nucleic Acid Biosensing

The traditional sensitive electrochemical biosensors are commonly confronted with the cumbersome interface operation and washing procedures and the inclusion of extra exogenous reagents, which impose the challenge on the detection simplicity, reliability, and reusability. Herein, we present the proof-of-principle of a unique biosensor architecture based on dynamic DNA assembly programmed surface hybridization, which confers the single-step, reusable, and enzyme-free amplified electrochemical nucleic acid analysis. To demonstrate the fabrication universality three dynamic DNA assembly strategies including DNA-fueled target recycling, catalytic hairpin DNA assembly, and hybridization chain reaction were flexibly harnessed to convey the homogeneous target recognition and amplification events into various DNA scaffolds for the autonomous proximity-based surface hybridization. The current biosensor architecture features generalizability, simplicity, low cost, high sensitivity, and specificity over the traditional nucleic acid-related amplified biosensors. The lowest detection limit of 50 aM toward target DNA could be achieved by hybridization chain reaction-programmed surface hybridization. The reliable working ability for both homogeneous solution and heterogeneous inteface facilitates the target analysis with a robust reliability and reproducibility, also making it to be readily extended for the integration with the kinds of detecting platforms. Thus, it may hold great potential for the biosensor fabrication served for the point-of-care applications in resource constrained regions

Additional file 1: of NextSV: a meta-caller for structural variants from low-coverage long-read sequencing data

Tables S1-S24. Performances of BLASR/PBHoney-Spots, BLASR/PBHoney-Tails, BWA/Sniffles, NGMLR/Sniffles and NextSV on the NA12878 genome and the HX1 genome. (PDF 472 kb

Additional file 1: of Circular stripes were more common in Barrett’s esophagus after acetic acid staining

The features after 2% acetic acid in patients with esophageal epithelial erosion. The esophageal epithelial erosion is always lead by gastroesphageal reflux disease and will impact the mucosa observation after acetic acid staining. (JPEG 666 kb

OAD treatment and control situation in patients treated with diabetes medications.

<p>OAD treatment and control situation in patients treated with diabetes medications.</p

All-Optical Diffractive Deep Neural Networks Enabled Laser-Reduced Graphene Oxide Tactile Sensor for Braille Recognition

All-optical diffractive deep neural networks (D2NNs) show a wide range of applications in image recognition and artificial vision due to their advantages of high-speed parallel processing, low energy consumption, and excellent anti-interference ability. However, there is relatively limited research applying D2NNs for tactile perception. In this study, we propose an automatic Braille recognition method based on D2NNs and tactile sensors. A flexible molybdenum disulfide-doped laser-reduced graphene oxide (LRGO/MoS2) tactile sensor was fabricated with the laser direct writing method. The LRGO/MoS2 tactile sensor shows a sensitivity of 9.8 kPa–1, with a response/recovery time of 0.14/0.10 s and excellent cyclic stability. The tactile sensor can be employed to capture Braille character information in real time and convert it into digital signals as inputs for all-optical D2NNs. The automatic recognition of Braille characters is achieved in the all-optical D2NNs with five diffraction layers, and the system finally can realize a recognition accuracy of 100% for Braille recognition. The strategy of integrating flexible tactile sensors with all-optical deep learning paves a path for realizing a low-cost, fast, accurate, and efficient tactile recognition system

Characteristics of 30 polymorphic microsatellite loci used in this study (FP = forward primer, RP = reverse primer, Ta = annealing temperature).

<p>Characteristics of 30 polymorphic microsatellite loci used in this study (FP = forward primer, RP = reverse primer, Ta = annealing temperature).</p