A bibliometric review of 35 years of studies about preeclampsia.

The purpose of this study is to investigate preeclampsia. It used the visualization tools of CiteSpace, VOSviewer, Gunnmap, Bibliometrix®, and Carrot2 to analyze 3,754 preeclampsia studies from 1985 to 2020 in Obstetrics and Gynecology areas. Carrot2 was used to explain each cluster in extra detail. The results found that there is an increasing trend in many publications related to preeclampsia from 1985 to 2020. The number of studies on preeclampsia has increased significantly in the last century. Analysis of the keywords found a strong relationship with preeclampsia concepts and keywords classified into five categories. Co-citation analysis was also performed which was classified into six categories. Reading the article offers important to support not only to grind the context of preeclampsia challenges but also to design a new trend in this field. The number of studies on preeclampsia has substantially improved over the decades ago. The findings of documents published from 1985 to 2020 showed three stages in research on this subject: 1985 to 1997 (a seeding stage), 1997-2005 (rapid growth stage), and 2005 onwards (development stage).

Somatic Single-Nucleotide Variant Calling from Single-Cell DNA Sequencing Data Using SCAN-SNV.

SCAN-SNV is a recent computational tool for somatic single-nucleotide variant (SNV) identification from the single-cell DNA sequencing data. The workflow of the SCAN-SNV package is as follows. First, candidate somatic SNVs and credible heterozygous single-nucleotide polymorphisms (hSNP) are obtained by analyzing single-cell and matched bulk sequencing data, respectively. Subsequently, SCAN-SNV estimates genome-wide allele-specific amplification balance (AB) at any position of DNA sequencing data using a probabilistic spatial statistical model. Finally, candidate somatic SNVs that are likely artifacts according to the AB predictions are further removed to obtain putative mutations. This chapter provides a step-by-step practical guide of the package by explaining how to install and use the variance caller in a real-world example.

Hsa-miR-942 fingerprint in colorectal cancer through Wnt signaling pathway.

The Wnt signaling pathway has been identified for its function in carcinogenesis and embryonic development. It is known to play a vital role in the initiation and development of colorectal cancer (CRC). Therefore, it is of great importance for CRC research to illuminate the mechanisms which regulate Wnt pathway activity. Here, we intended to examine the effect of hsa-miR-942 (miR-942) on the Wnt signaling activity, cell cycle progression, and its expression in CRC tissues. RT-qPCR results indicated that miR-942 is significantly upregulated in colorectal cancer. Then, overexpression of miR-942 promoted, whereas its inhibition decreased the Wnt signaling activity, detected by RT-qPCR and Top/Fop flash assay. Inhibition of Wnt signaling by using PNU-74654 or IWP-2 small molecules indicated that miR-942 applies its effect to the ß-catenin degradation complex level. Then, RT-qPCR and dual luciferase assay showed that miR-942 upregulated Wnt signaling through direct targeting of APC, which is a tumor suppressor in Wnt signaling pathway. Furthermore, the western blotting analysis indicated that ß.catenin, as a main member of Wnt signaling pathway is upregulated following the overexpression of miR-942. Finally, miR-942 overexpression resulted in cell cycle progression in SW480 cells. Taken together, our findings established an oncogenic role for miR-942 in CRC and indicated that this miRNA might be a crucial target for CRC therapy.