Chrome Extension
WeChat Mini Program
Use on ChatGLM

Ultra Rapid, One Step Molecular Detection of BCR-ABL Major and Minor Transcripts by Isothermal RT-Loop Mediated Amplification Reaction.

HAEMATOLOGICA(2013)

DiaSorin SpA | Osped Riuniti Bergamo

Cited 0|Views21
Abstract
Abstract Abstract 2515 Background: The molecular identification of the BCRABL transcripts in clinical samples is actually based on a conventional Reverse Transcription Polymerase Chain reaction (RT-PCR). Here we present a novel molecular method, based on Loop Mediated Amplification assay that, starting from RNA (RT-LAMP) in one single tube reaction ensures a rapid and simultaneous detection of either the BCR-ABL p190 or p210 fusion transcript as well as the housekeeping gene used as internal quality control. Methods: The BCR-ABL RT-LAMP is a multiplex, isothermal method for retro-transcription, amplification and detection of the Minor (p190) and Major (p210) t(9;22) transcripts and the endogenous Gusb RNA, as internal control for validation of negative results. The employment of fluorescent specific probes allows real-time monitoring of the reaction, so that the test result is obtained in a single, homogeneous step. RT-LAMP is carried out on the Liaison IAM, a 8-wells manageable instrument suitable for isothermal reactions. Liaison IAM incubates at constant temperature, monitors the fluorescent signals and the data produced can be analyzed, upon connection to up to 6 other instruments, for a throughput of 8 to 48 samples. Thanks to the three channels of fluorescence, it can monitor multiplex assays, providing elaborated final objective results with no need of further data analysis by the operator. Results: The level of sensitivity of the triplex BCR-ABL RT-LAMP has been analytically evaluated directly on serial dilutions of RNA extracted respectively from t(9;22) positive cell lines (TOM-1 for p190 or K-562 for p210) into wild type RNA from HL-60 cell line (30 replicates). The p190 and p210 transcripts have been detected and distinguished down to 10−4 and 10−5respectively within 50 minutes. The assay demonstrated 100% specificity since 70 replicates of wild type RNA from 7 cell lines resulted BCR-ABL negative and GUSb positive (internal amplification control). This assay was validated on 60 clinical samples (30 white blood cells RNA from Chronic Myeloid Leukemia, 30 mononuclear cells RNA from B-lineage Acute Lymphoblastic Leukemia). All these samples were obtained at diagnosis and were previously analyzed by conventional RT-PCR. RT-LAMP detected and identified the BCR-ABL fusion transcripts correctly in all cases with a 100% concordance with the reference method. Fully concordant results were obtained also on 30 RNA samples from patients affected by t(9;22) negative hematologic malignancies and on 30 RNA samples obtained from healthy donors in which the RT-LAMP amplified exclusively the housekeeping GUSb transcript. Conclusions: The triplex p190-p210-GUSb RT-LAMP is a one-step procedure for specific, highly sensitive and rapid molecular detection of the BCR-ABL fusion transcripts. The semi-automatic instrument Liaison IAM, simplifies the entire procedure, reduces the contamination risks deriving from the conventional, multi step RT-PCR and significantly improve the diagnostic lab routine. Disclosures: D'agostini: DIASORIN S.p.A: Employment. Minnucci:Diasorin S.p.A.: Employment. Amicarelli:DIASPRIN S.p.A.: Employment. Pultrone:DIASORIN S.p.A.: Employment. Tettamanzi:DIASORIN S.p.A.: Employment. Salmoiraghi:DIASORIN S.p.A.: Consultancy. Spinelli:DIASORIN S.p.A: Consultancy. Colotta:DIASORIN S.p.A: Employment. Rambaldi:DIASORIN S.p.A: Consultancy.
More
Translated text
求助PDF
上传PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
GPU is busy, summary generation fails
Rerequest