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Multimodally profiling memory T cells from a tuberculosis cohort identifies cell state associations with demographics, environment and disease
by
Nathan, Aparna
, Lopez, Kattya
, Suliman, Sara
, Jimenez, Judith
, Ishigaki, Kazuyoshi
, Baglaenko, Yuriy
, Huang, Chuan-Chin
, Asgari, Samira
, Luo, Yang
, Moody, D. Branch
, Calderón, Roger I.
, Ernst, Joel D.
, Murray, Megan B.
, Raychaudhuri, Soumya
, Zhang, Zibiao
, Lindestam Arlehamn, Cecilia S.
, Beynor, Jessica I.
, Lecca, Leonid
, Van Rhijn, Ildiko
in
631/250/1619/554
/ 631/250/248
/ 631/250/2520
/ 631/250/255/1856
/ 631/61/514
/ Adolescent
/ Adult
/ Age Factors
/ Aged
/ Aged, 80 and over
/ Biomedical and Life Sciences
/ Biomedicine
/ Case-Control Studies
/ Child
/ Demographic aspects
/ Demography
/ Development and progression
/ Disease Progression
/ Female
/ Follow-Up Studies
/ Genetic Predisposition to Disease
/ Genotyping Techniques
/ Health aspects
/ Helper cells
/ Humans
/ Identification and classification
/ Immunologic Memory
/ Immunological memory
/ Immunology
/ Infectious Diseases
/ Lymphocytes
/ Lymphocytes T
/ Male
/ Memory cells
/ Middle Aged
/ Mycobacterium tuberculosis
/ Mycobacterium tuberculosis - immunology
/ Mycobacterium tuberculosis - isolation & purification
/ Peptides
/ Peru
/ Resource
/ RNA-Seq
/ Sex Factors
/ Single-Cell Analysis
/ Socioeconomic Factors
/ Statistics
/ T cells
/ Th17 Cells - immunology
/ Tuberculosis
/ Tuberculosis, Pulmonary - blood
/ Tuberculosis, Pulmonary - genetics
/ Tuberculosis, Pulmonary - immunology
/ Tuberculosis, Pulmonary - microbiology
/ Young Adult
2021
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Multimodally profiling memory T cells from a tuberculosis cohort identifies cell state associations with demographics, environment and disease
by
Nathan, Aparna
, Lopez, Kattya
, Suliman, Sara
, Jimenez, Judith
, Ishigaki, Kazuyoshi
, Baglaenko, Yuriy
, Huang, Chuan-Chin
, Asgari, Samira
, Luo, Yang
, Moody, D. Branch
, Calderón, Roger I.
, Ernst, Joel D.
, Murray, Megan B.
, Raychaudhuri, Soumya
, Zhang, Zibiao
, Lindestam Arlehamn, Cecilia S.
, Beynor, Jessica I.
, Lecca, Leonid
, Van Rhijn, Ildiko
in
631/250/1619/554
/ 631/250/248
/ 631/250/2520
/ 631/250/255/1856
/ 631/61/514
/ Adolescent
/ Adult
/ Age Factors
/ Aged
/ Aged, 80 and over
/ Biomedical and Life Sciences
/ Biomedicine
/ Case-Control Studies
/ Child
/ Demographic aspects
/ Demography
/ Development and progression
/ Disease Progression
/ Female
/ Follow-Up Studies
/ Genetic Predisposition to Disease
/ Genotyping Techniques
/ Health aspects
/ Helper cells
/ Humans
/ Identification and classification
/ Immunologic Memory
/ Immunological memory
/ Immunology
/ Infectious Diseases
/ Lymphocytes
/ Lymphocytes T
/ Male
/ Memory cells
/ Middle Aged
/ Mycobacterium tuberculosis
/ Mycobacterium tuberculosis - immunology
/ Mycobacterium tuberculosis - isolation & purification
/ Peptides
/ Peru
/ Resource
/ RNA-Seq
/ Sex Factors
/ Single-Cell Analysis
/ Socioeconomic Factors
/ Statistics
/ T cells
/ Th17 Cells - immunology
/ Tuberculosis
/ Tuberculosis, Pulmonary - blood
/ Tuberculosis, Pulmonary - genetics
/ Tuberculosis, Pulmonary - immunology
/ Tuberculosis, Pulmonary - microbiology
/ Young Adult
2021
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Multimodally profiling memory T cells from a tuberculosis cohort identifies cell state associations with demographics, environment and disease
by
Nathan, Aparna
, Lopez, Kattya
, Suliman, Sara
, Jimenez, Judith
, Ishigaki, Kazuyoshi
, Baglaenko, Yuriy
, Huang, Chuan-Chin
, Asgari, Samira
, Luo, Yang
, Moody, D. Branch
, Calderón, Roger I.
, Ernst, Joel D.
, Murray, Megan B.
, Raychaudhuri, Soumya
, Zhang, Zibiao
, Lindestam Arlehamn, Cecilia S.
, Beynor, Jessica I.
, Lecca, Leonid
, Van Rhijn, Ildiko
in
631/250/1619/554
/ 631/250/248
/ 631/250/2520
/ 631/250/255/1856
/ 631/61/514
/ Adolescent
/ Adult
/ Age Factors
/ Aged
/ Aged, 80 and over
/ Biomedical and Life Sciences
/ Biomedicine
/ Case-Control Studies
/ Child
/ Demographic aspects
/ Demography
/ Development and progression
/ Disease Progression
/ Female
/ Follow-Up Studies
/ Genetic Predisposition to Disease
/ Genotyping Techniques
/ Health aspects
/ Helper cells
/ Humans
/ Identification and classification
/ Immunologic Memory
/ Immunological memory
/ Immunology
/ Infectious Diseases
/ Lymphocytes
/ Lymphocytes T
/ Male
/ Memory cells
/ Middle Aged
/ Mycobacterium tuberculosis
/ Mycobacterium tuberculosis - immunology
/ Mycobacterium tuberculosis - isolation & purification
/ Peptides
/ Peru
/ Resource
/ RNA-Seq
/ Sex Factors
/ Single-Cell Analysis
/ Socioeconomic Factors
/ Statistics
/ T cells
/ Th17 Cells - immunology
/ Tuberculosis
/ Tuberculosis, Pulmonary - blood
/ Tuberculosis, Pulmonary - genetics
/ Tuberculosis, Pulmonary - immunology
/ Tuberculosis, Pulmonary - microbiology
/ Young Adult
2021
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Multimodally profiling memory T cells from a tuberculosis cohort identifies cell state associations with demographics, environment and disease
Journal Article
Multimodally profiling memory T cells from a tuberculosis cohort identifies cell state associations with demographics, environment and disease
2021
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Overview
Multimodal T cell profiling can enable more precise characterization of elusive cell states underlying disease. Here, we integrated single-cell RNA and surface protein data from 500,089 memory T cells to define 31 cell states from 259 individuals in a Peruvian tuberculosis (TB) progression cohort. At immune steady state >4 years after infection and disease resolution, we found that, after accounting for significant effects of age, sex, season and genetic ancestry on T cell composition, a polyfunctional type 17 helper T (T
H
17) cell–like effector state was reduced in abundance and function in individuals who previously progressed from
Mycobacterium tuberculosis
(
M.tb
) infection to active TB disease. These cells are capable of responding to
M.tb
peptides. Deconvoluting this state—uniquely identifiable with multimodal analysis—from public data demonstrated that its depletion may precede and persist beyond active disease. Our study demonstrates the power of integrative multimodal single-cell profiling to define cell states relevant to disease and other traits.
Raychaudhuri and colleagues use high-dimensional single-cell analysis of T cells from a human tuberculosis progression cohort. They identify a T
H
17–like cluster reactive to
Mycobacterium tuberculosis
peptides that is reduced in people who previously progressed to active disease.
Publisher
Nature Publishing Group US,Nature Publishing Group
Subject
/ Adult
/ Aged
/ Biomedical and Life Sciences
/ Child
/ Female
/ Genetic Predisposition to Disease
/ Humans
/ Identification and classification
/ Male
/ Mycobacterium tuberculosis - immunology
/ Mycobacterium tuberculosis - isolation & purification
/ Peptides
/ Peru
/ Resource
/ RNA-Seq
/ T cells
/ Tuberculosis, Pulmonary - blood
/ Tuberculosis, Pulmonary - genetics
/ Tuberculosis, Pulmonary - immunology
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