short tandem repeat profiling
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Author(s):  
Paola Visconti ◽  
Federica Parodi ◽  
Barbara Parodi ◽  
Lucia Casarino ◽  
Paolo Romano ◽  
...  

2019 ◽  
Vol 93 (24) ◽  
Author(s):  
Melissa V. Fernandez ◽  
Krista A. Delviks-Frankenberry ◽  
David A. Scheiblin ◽  
Christine Happel ◽  
Vinay K. Pathak ◽  
...  

ABSTRACT The MT-4 human T-cell line expresses HTLV-1 Tax and is permissive for replication of an HIV-1 gp41 mutant lacking the cytoplasmic tail. MT-4 cells (lot 150048), distributed by the NIH AIDS Reagent Program (NIH-ARP), were found to be Tax deficient and unable to host replication of the gp41-truncated HIV-1 mutant. These findings, together with short tandem repeat profiling, established that lot 150048 are not bona fide MT-4 cells.


2018 ◽  
Vol 25 (4) ◽  
pp. 437-451 ◽  
Author(s):  
Katja Kiseljak-Vassiliades ◽  
Yu Zhang ◽  
Stacey M Bagby ◽  
Adwitiya Kar ◽  
Nikita Pozdeyev ◽  
...  

Adrenocortical cancer (ACC) is an orphan malignancy that results in heterogeneous clinical phenotypes and molecular genotypes. There are no curative treatments for this deadly cancer with 35% survival at five years. Our understanding of the underlying pathobiology and our ability to test novel therapeutic targets has been limited due to the lack of preclinical models. Here, we report the establishment of two new ACC cell lines and corresponding patient-derived xenograft (PDX) models. CU-ACC1 cell line and PDX were derived from a perinephric metastasis in a patient whose primary tumor secreted aldosterone. CU-ACC2 cell line and PDX were derived from a liver metastasis in a patient with Lynch syndrome. Short tandem repeat profiling confirmed consistent matches between human samples and models. Both exomic and RNA sequencing profiling were performed on the patient samples and the models, and hormonal secretion was evaluated in the new cell lines. RNA sequencing and immunohistochemistry confirmed the expression of adrenal cortex markers in the PDXs and human tumors. The new cell lines replicate two of the known genetic models of ACC. CU-ACC1 cells had a mutation inCTNNB1and secreted cortisol but not aldosterone. CU-ACC2 cells had aTP53mutation and loss ofMSH2consistent with the patient’s known germline mutation causing Lynch syndrome. Both cell lines can be transfected and transduced with similar growth rates. These new preclinical models of ACC significantly advance the field by allowing investigation of underlying molecular mechanisms of ACC and the ability to test patient-specific therapeutic targets.


2014 ◽  
Vol 37 (1) ◽  
pp. 58-64
Author(s):  
Gabriela Repiská ◽  
Tatiana Sedláčková ◽  
Tomáš Szemes ◽  
Gabriel Minárik

Background: The accuracy and reliability of detection of free fetal DNA in plasma of pregnant women can be significantly improved by increasing the overall DNA concentration following the isolation from maternal plasma. The aim of our study was to compare DNA concentration methods on samples with free fetal DNA. Materials and Methods: DNA isolated from plasma samples of pregnant women carrying a male fetus were concentrated by 3 different methods: vacuum concentration, centrifugal filters and spin columns. Their performance was evaluated using PCR-based Y-chromosomal short tandem repeat (Y-STR) genotyping of the fetus. Results: A statistically significant difference was found between the 3 tested methods (F = 15.57, p < 0.0001). Using vacuum concentration 85.3% of paternally inherited Y-STR alleles were correctly identified. A significantly smaller proportion of alleles was correctly identified in samples concentrated by centrifugal filters and spin columns - 75.9 and 66.5%, respectively. Discussion: The highest proportion of paternally inherited Y-STR alleles was found in samples concentrated with the use of vacuum concentration. This concentration procedure does not require further handling of the sample either, which is an advantage because it avoids potential sample contamination. On the other hand, when automation is considered, vacuum concentration is less suitable because of an uneven and unpredictable sample evaporation rate.


2010 ◽  
Vol 46 (10) ◽  
pp. 811-819 ◽  
Author(s):  
Raymond W. Nims ◽  
Greg Sykes ◽  
Karin Cottrill ◽  
Pranvera Ikonomi ◽  
Eugene Elmore

2010 ◽  
Vol 46 (9) ◽  
pp. 727-732 ◽  
Author(s):  
Rita Barallon ◽  
Steven R. Bauer ◽  
John Butler ◽  
Amanda Capes-Davis ◽  
Wilhelm G. Dirks ◽  
...  

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