ID

45597

Beschrijving

Principal Investigator: Catherine Wu, Dana-Farber Cancer Institute, Boston, MA, USA MeSH: Leukemia, Lymphoid https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001372 Intratumoral genetic heterogeneity has been characterized across cancers by genome sequencing of bulk tumors, including chronic lymphocytic leukemia (CLL). In order to more accurately identify subclones, define phylogenetic relationships, and probe genotype-phenotype relationships, we developed methods for targeted mutation detection in DNA and RNA isolated from thousands of single cells from five CLL samples. By clearly resolving phylogenic relationships, we uncovered mutated LCP1 and WNK1 as novel CLL drivers, supported by functional evidence demonstrating their impact on CLL pathways. Integrative analysis of somatic mutations with transcriptional states prompts the idea that convergent evolution generates phenotypically similar cells in distinct genetic branches, thus creating a cohesive expression profile in each CLL sample despite the presence of genetic heterogeneity. Our study highlights the potential for single-cell RNA-based targeted analysis to sensitively determine transcriptional and mutational profiles of individual cancer cells leading to increased understanding of driving events in malignancy. Reprinted from Genome Research, with permission from Publisher.

Link

dbGaP study = phs001372

Trefwoorden

  1. 07-02-23 07-02-23 - Simon Heim
Houder van rechten

Catherine Wu, Dana-Farber Cancer Institute, Boston, MA, USA

Geüploaded op

7 februari 2023

DOI

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Licentie

Creative Commons BY 4.0

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dbGaP phs001372 Integrated Single-Cell Analysis in Chronic Lymphocytic Leukemia

Subject ID, age, ethnicity, and gender of participants with chronic lymphocytic leukemia and involved in the "Integrated Single-Cell Genetic and Transcriptional Analysis Suggests Novel Drivers of Chronic Lymphocytic Leukemia" project.

pht006534
Beschrijving

pht006534

Alias
UMLS CUI [1,1]
C3846158
De-identified subject ID
Beschrijving

SUBJECT_ID

Datatype

string

Alias
UMLS CUI [1,1]
C4684638
UMLS CUI [1,2]
C2348585
Age of subject
Beschrijving

AGE

Datatype

text

Maateenheden
  • Years
Alias
UMLS CUI [1,1]
C0001779
Years
Gender of subject
Beschrijving

GENDER

Datatype

text

Alias
UMLS CUI [1,1]
C0079399
Ethnicity of subject [Caucasian, Hispanic, Arabic, Omani Arabic]
Beschrijving

ETHNICITY

Datatype

string

Alias
UMLS CUI [1,1]
C5441552
UMLS CUI [1,2]
C0043157
UMLS CUI [1,3]
C0086409
UMLS CUI [1,4]
C3846158

Similar models

Subject ID, age, ethnicity, and gender of participants with chronic lymphocytic leukemia and involved in the "Integrated Single-Cell Genetic and Transcriptional Analysis Suggests Novel Drivers of Chronic Lymphocytic Leukemia" project.

Name
Type
Description | Question | Decode (Coded Value)
Datatype
Alias
Item Group
pht006534
C3846158 (UMLS CUI [1,1])
SUBJECT_ID
Item
De-identified subject ID
string
C4684638 (UMLS CUI [1,1])
C2348585 (UMLS CUI [1,2])
AGE
Item
Age of subject
text
C0001779 (UMLS CUI [1,1])
Item
Gender of subject
text
C0079399 (UMLS CUI [1,1])
Code List
Gender of subject
CL Item
Female (F)
C0086287 (UMLS CUI [1,1])
CL Item
Male (M)
C0086582 (UMLS CUI [1,1])
ETHNICITY
Item
Ethnicity of subject [Caucasian, Hispanic, Arabic, Omani Arabic]
string
C5441552 (UMLS CUI [1,1])
C0043157 (UMLS CUI [1,2])
C0086409 (UMLS CUI [1,3])
C3846158 (UMLS CUI [1,4])

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