Additional file 4: Figure S3. of Intermittent parathyroid hormone (PTH) promotes cementogenesis and alleviates the catabolic effects of mechanical strain in cementoblasts

Bands of Fig. 7 (western blot analysis). (TIF 3040 kb

Additional file 2: Table S1. of Intermittent parathyroid hormone (PTH) promotes cementogenesis and alleviates the catabolic effects of mechanical strain in cementoblasts

Densitometry for the bands (western blot analysis) of 0, 1, 2 and 3 cycles of intermittent PTH and the corresponding control groups in Fig. 1a-b. Table S2. Densitometry for the bands (western blot analysis) of the control group, the strain group and the strain + PTH group in Fig. 1c-d. Table S3. Quantitative analysis of ALP activity. Data indicated the levels of the control group, 1, 2 and 3 cycles of intermittent PTH groups respectively in Fig. 3b. Table S4. Data of quantitative calcium assay of the control group and 3 cycles of intermittent PTH group in Fig. 3d. Table S5. Data indicating the mRNA levels of BSP, OCN, COL1 and Osx of 0, 1, 2 and 3 cycles of intermittent PTH and the corresponding groups in Fig. 4a-d. Table S6. Densitometry for the bands (western blot analysis) of the control group and 3 cycles of intermittent PTH in Fig. 4e-i. Table S7. Data indicating the mRNA levels of BSP, ALP, OCN, OPN, Runx2 and Osx of the control group and the strain group after 18 h of mechanical strain treatment in Fig. 6a-f. Table S8. Densitometry for the bands (western blot analysis) of the control group, the strain group and the strain + PTH group in Fig. 7a-g. Data were presented as mean ± SD. (DOCX 21 kb

Additional file 3: Figure S2. of Intermittent parathyroid hormone (PTH) promotes cementogenesis and alleviates the catabolic effects of mechanical strain in cementoblasts

Bands of Fig. 4 (western blot analysis). (TIF 1478 kb

Evaluation of Medicine Effects on the Interaction of Myoglobin and Its Aptamer or Antibody Using Atomic Force Microscopy

The effects of medicine on the biomolecular interaction have been given increasing attention in biochemistry and affinity-based analytics since the environment in vivo is complex especially for the patients. Herein, myoglobin, a biomarker of acute myocardial infarction, was used as a model, and the medicine effects on the interactions of myoglobin/aptamer and myoglobin/antibody were systematically investigated using atomic force microscopy (AFM) for the first time. The results showed that the average binding force and the binding probability of myoglobin/aptamer almost remained unchanged after myoglobin-modified gold substrate was incubated with promazine, amoxicillin, aspirin, and sodium penicillin, respectively. These parameters were changed for myoglobin/antibody after the myoglobin-modified gold substrate was treated with these medicines. For promazine and amoxicillin, they resulted in the change of binding force distribution of myoglobin/antibody (i.e., from unimodal distribution to bimodal distribution) and the increase of binding probability; for aspirin, it only resulted in the change of the binding force distribution, and for sodium penicillin, it resulted in the increase of the average binding force and the binding probability. These results may be attributed to the different interaction modes and binding sites between myoglobin/aptamer and myoglobin/antibody, the different structures between aptamer and antibody, and the effects of medicines on the conformations of myoglobin. These findings could enrich our understanding of medicine effects on the interactions of aptamer and antibody to their target proteins. Moreover, this work will lay a good foundation for better research and extensive applications of biomolecular interaction, especially in the design of biosensors in complex systems

Additional file 1 of Exosomes secreted by Fusobacterium nucleatum-infected colon cancer cells transmit resistance to oxaliplatin and 5-FU by delivering hsa_circ_0004085

Additional file 1: Supplementary Material

Additional file 3 of Cyclophosphamide induced early remission and was superior to rituximab in idiopathic membranous nephropathy patients with high anti-PLA2R antibody levels

Supplementary Material

DataSheet1_Inter-patient ECG heartbeat classification for arrhythmia classification: a new approach of multi-layer perceptron with weight capsule and sequence-to-sequence combination.PDF

Objective: The objective of this research is to construct a method to alleviate the problem of sample imbalance in classification, especially for arrhythmia classification. This approach can improve the performance of the model without using data enhancement.Methods: In this study, we have developed a new Multi-layer Perceptron (MLP) block and have used a Weight Capsule (WCapsule) network with MLP combined with sequence-to-sequence (Seq2Seq) network to classify arrhythmias. Our work is based on the MIT-BIH arrhythmia database, the original electrocardiogram (ECG) data is classified according to the criteria recommended by the American Association for Medical Instrumentation (AAMI). Also, our method’s performance is further evaluated.Results: The proposed model is evaluated using the inter-patient paradigm. Our proposed method shows an accuracy (ACC) of 99.88% under sample imbalance. For Class N, sensitivity (SEN) is 99.79%, positive predictive value (PPV) is 99.90%, and specificity (SPEC) is 99.19%. For Class S, SEN is 97.66%, PPV is 96.14%, and SPEC is 99.85%. For Class V, SEN is 99.97%, PPV is 99.07%, and SPEC is 99.94%. For Class F, SEN is 97.94%, PPV is 98.70%, and SPEC is 99.99%. When using only half of the training sample, our method shows that the SEN of Class N and V is 0.97% and 5.27% higher than the traditional machine learning algorithm.Conclusion: The proposed method combines MLP, weight capsule network with Seq2seq network, effectively addresses the problem of sample imbalance in arrhythmia classification, and produces good performance. Our method also shows promising potential in less samples.</p

Additional file 2 of Cyclophosphamide induced early remission and was superior to rituximab in idiopathic membranous nephropathy patients with high anti-PLA2R antibody levels

Supplementary Material

DataSheet1_A novel dilated contextual attention module for breast cancer mitosis cell detection.pdf

Background and object: Mitotic count (MC) is a critical histological parameter for accurately assessing the degree of invasiveness in breast cancer, holding significant clinical value for cancer treatment and prognosis. However, accurately identifying mitotic cells poses a challenge due to their morphological and size diversity.Objective: We propose a novel end-to-end deep-learning method for identifying mitotic cells in breast cancer pathological images, with the aim of enhancing the performance of recognizing mitotic cells.Methods: We introduced the Dilated Cascading Network (DilCasNet) composed of detection and classification stages. To enhance the model’s ability to capture distant feature dependencies in mitotic cells, we devised a novel Dilated Contextual Attention Module (DiCoA) that utilizes sparse global attention during the detection. For reclassifying mitotic cell areas localized in the detection stage, we integrate the EfficientNet-B7 and VGG16 pre-trained models (InPreMo) in the classification step.Results: Based on the canine mammary carcinoma (CMC) mitosis dataset, DilCasNet demonstrates superior overall performance compared to the benchmark model. The specific metrics of the model’s performance are as follows: F1 score of 82.9%, Precision of 82.6%, and Recall of 83.2%. With the incorporation of the DiCoA attention module, the model exhibited an improvement of over 3.5% in the F1 during the detection stage.Conclusion: The DilCasNet achieved a favorable detection performance of mitotic cells in breast cancer and provides a solution for detecting mitotic cells in pathological images of other cancers.</p

Additional file 1 of Cyclophosphamide induced early remission and was superior to rituximab in idiopathic membranous nephropathy patients with high anti-PLA2R antibody levels

Supplementary Material