The Combining Effects of Cell-Free Circulating Tumor DNA of Breast Tumor to the Noninvasive Prenatal Testing Results: A Simulating Investigation.

Massively parallel sequencing of circulating fetal DNA in the plasma of pregnant women is a common method for noninvasive prenatal testing (NIPT) of fetal trisomy 13, 18, and 21. However, circulating DNA is not restricted to pregnant women, with increased levels of plasma DNA also frequently detected in the plasma of cancer patients. Among pregnant women whose NIPT results were inconsistent with the fetal karyotype, a small number of patients have subsequently been diagnosed with a previously undetected malignancy. However, the extent to which circulating tumor DNA (ctDNA) affects the results of NIPT is still unclear. We examined serum from 50 nonpregnant women with breast tumors by NIPT. These samples were then added to serum containing trisomy 13, 18, and 21 fetal DNA to figure out the extent to which maternal tumors can interrupt NIPT results in pregnant women with breast tumors. Concentrations of cell-free DNA (cfDNA) were higher in both pregnant women and breast tumor patients, relative to nonpregnant healthy controls. Among the 50 samples evaluated, 3 produced false positive NIPT results for trisomy 13, 18, or 21, indicating that genomic copy number variations (CNVs) had occurred. Simulation testing also showed that ctDNA can increase the standard deviation of the associated z-scores, which lower absolute z-scores by decreasing the proportion of circulating fetal DNA relative to total DNA. Of the 50 samples tested, 9 fell within the equivocal range and 8 produced false negative results for trisomy 13, 18, or 21. Data presented here show for the first time that ctDNA is able to affect NIPT results in two ways. First, ctDNA can lead to false positive results due to the detection of genomic CNVs in tumor DNA. Alternatively, ctDNA can increase the likelihood of a false negative by decreasing the proportion of circulating fetal DNA in serum.

A Method to Quantify Cell-Free Fetal DNA Fraction in Maternal Plasma Using Next Generation Sequencing: Its Application in Non-Invasive Prenatal Chromosomal Aneuploidy Detection.

OBJECTIVE: The fraction of circulating cell-free fetal (cff) DNA in maternal plasma is a critical parameter for aneuploidy screening with non-invasive prenatal testing, especially for those samples located in equivocal zones. We developed an approach to quantify cff DNA fractions directly with sequencing data, and increased cff DNAs by optimizing library construction procedure. METHODS: Artificial DNA mixture samples (360), with known cff DNA fractions, were used to develop a method to determine cff DNA fraction through calculating the proportion of Y chromosomal unique reads, with sequencing data generated by Ion Proton. To validate our method, we investigated cff DNA fractions of 2,063 pregnant women with fetuses who were diagnosed as high risk of fetal defects. The z-score was calculated to determine aneuploidies for chromosomes 21, 18 and 13. The relationships between z-score and parameters of pregnancies were also analyzed. To improve cff DNA fractions in our samples, two groups were established as follows: in group A, the large-size DNA fragments were removed, and in group B these were retained, during library construction. RESULTS: A method to determine cff DNA fractions was successfully developed using 360 artificial mixture samples in which cff DNA fractions were known. A strong positive correlation was found between z-score and fetal DNA fraction in the artificial mixture samples of trisomy 21, 18 and 13, as well as in clinical maternal plasma samples. There was a positive correlation between gestational age and the cff DNA fraction in the clinical samples, but no correlation for maternal age. Moreover, increased fetal DNA fractions were found in group A compared to group B. CONCLUSION: A relatively accurate method was developed to determine the cff DNA fraction in maternal plasma. By optimizing, we can improve cff DNA fractions in sequencing samples, which may contribute to improvements in detection rate and reliability.

[Study on foraging behaviors of honeybee Apis mellifera based on RFID technology].

Honeybee foragers can flexibly adjust their out-hive activities to ensure growth and reproduction of the colony. In order to explore the characteristics of honey bees foraging behaviors, in this study, their flight activities were monitored 24 hours per day for a duration of 38 days, using an radio frequency identification (RFID) system designed and manufactured by the Honeybee Research Institute of Jiangxi Agricultural University in cooperation with the Guangzhou Invengo Information Technology Co., Ltd. Our results indicated that 63.4% and 64.5% of foragers were found rotating more than one day off during the foraging period in two colonies, and 22.5% and 26.4% of the total foraging days were used for rest respectively. Further, although the total foraging time between rotating day-off foragers and continuously working foragers was equal, the former had a significant longer lifespan than the latter. Additionally, the lifespan of the early developed foragers was significantly lower than that of the normally developed foragers. This study enriched the content of foraging behaviors of honey bees, and it could be used as the basis for the further explorations on evolutionary mechanism of foraging behaviors of eusocial insects.

The integrative analysis of microRNA and mRNA expression in Apis mellifera following maze-based visual pattern learning.

The honeybee (Apis mellifera) is a social insect with strong sensory capacity and diverse behavioral repertoire and is recognized as a good model organism for studying the neurobiological basis of learning and memory. In this study, we analyzed the changes in microRNA (miRNA) and messenger RNA (mRNA) following maze-based visual learning using next-generation small RNA sequencing and Solexa/lllumina Digital Gene Expression tag profiling (DGE). For small RNA sequencing, we obtained 13 367 770 and 13 132 655 clean tags from the maze and control groups, respectively. A total of 40 differentially expressed known miRNAs were detected between these two samples, and all of them were up-regulated in the maze group compared to the control group. For DGE, 5 681 320 and 5 939 855 clean tags were detected from the maze and control groups, respectively. There were a total of 388 differentially expressed genes between these two samples, with 45 genes up-regulated and 343 genes down-regulated in the maze group, compared to the control group. Additionally, the expression levels of 10 differentially expressed genes were confirmed by quantitative reverse transcription polymerase chain reaction (qRT-PCR) and the expression trends of eight of them were consistent with the DGE result, although the degree of change was lower in amplitude. The integrative analysis of miRNA and mRNA expression showed that, among the 40 differentially expressed known miRNAs and 388 differentially expressed genes, 60 pairs of miRNA/mRNA were identified as co-expressed in our present study. These results suggest that both miRNA and mRNA may play a pivotal role in the process of learning and memory in honeybees. Our sequencing data provide comprehensive miRNA and gene expression information for maze-based visual learning, which will facilitate understanding of the molecular mechanisms of honeybee learning and memory.