MRD_Screening_Of_Human_B_ALL. MRD_Screening_Of_Human_B_ALL
收藏NIAID Data Ecosystem2026-03-08 收录
官方服务:
资源简介:
MRD screening in Human B-ALL: monitoring B-cell repertoires in longitudinal samples of patients.
应用场景:
创建时间:
2015-09-04
相关数据集
Table_3_Clinical Utility of Droplet Digital PCR to Monitor BCR-ABL1 Transcripts of Patients With Philadelphia Chromosome–Positive Acute Lymphoblastic Leukemia Post-chimeric Antigen Receptor19/22 T-Cell Cocktail Therapy.DOCX
Philadelphia chromosome–positive acute lymphoblastic leukemia (Ph+ ALL) accounts for 20–30% of adult patients with ALL, characterized by translocation of t(9, 22). Tyrosine kinase inhibitors (TKIs) ha
NIAID Data Ecosystem50
Measuring Minimal Residual Disease beyond 10-5 through IGHV leader-based NGS increases Prognostic Discrimination in Chronic Lymphocytic Leukemia. Measuring Minimal Residual Disease beyond 10-5 through IGHV leader-based NGS increases Prognostic Discrimination in Chronic Lymphocytic Leukemia
The sensitivity of conventional techniques for the quantification of minimal/measurable residual disease (MRD) in chronic lymphocytic leukemia (CLL) is limited to MRD 10-4. Measuring MRD <10-4 could h
NIAID Data Ecosystem50
Schnitzler Syndrome B Cell Repertoires
Given the presence of autoantibodies and the likelihood of progression of the autoinflammatory disease Schnitzlers Syndrome (SS) to a clonal B cell disorder, Waldenstrom's Macroglobulinaemia (WM), we
NIAID Data Ecosystem30
Dataset from U19 Influenza Immunity: Protective Mechanisms Against a Pandemic Respiratory Virus. Project 1: B-cell Immunity to Influenza. Technical Development Project 1: Measuring the Immunome: Genomic Approaches to B-cell Repertoire- Year 1, 2009
This is an exploratory study using a strategy that has not been previously employed to investigate the effects of age and vaccine type on specific kinds of immune responses to licensed, seasonal 200
NIAID Data Ecosystem50
Additional file 1 of Capturing the differences between humoral immunity in the normal and tumor environments from repertoire-seq of B-cell receptors using supervised machine learning
Table S1. A table showing the number of reads, inferred reads, unique reads, clones, and extracted clones for each sample. (XLS 33 kb)
Figshare2019-05-28 更新30



