Literature DB >> 33979683

Single-cell technologies and analyses in hematopoiesis and hematological malignancies.

Ignacio Campillo-Marcos1, Damiana Alvarez-Errico2, Regina A Alandes3, Elisabetta Mereu4, Manel Esteller5.   

Abstract

In recent years, single-cell technologies have emerged as breakthrough techniques that enable the characterization of hematopoietic cell populations of normal and malignant tissue samples and will be combined in the near future with bulk technologies, currently used in clinical practice, to improve diagnosis, prognosis, and the search for novel molecular targets. These single-cell methods have the advantage of not masking cell-to-cell variation features and involve the study of genetic, epigenetic, transcriptional, and proteomic landscapes from a single-cell perspective. Latest advances in this field have enabled the development of novel strategies that significantly increase both sensitivity and high throughput. In this review, we emphasize emerging techniques aimed at assessing individual or multiomic parameters at single-cell resolution and analyze how these technologies have helped us understand hematopoietic variability and identify unknown and/or rare subpopulations. We also summarize the impact of these single-cell profiling strategies on the characterization of cell diversity within the tumor and the clonal evolution of multiple hematological malignancies in samples from untreated and treated patients, which provide valuable information for diagnosis, prognosis, and future treatments and explain why current therapies may fail. However, despite these improvements, new challenges lie ahead.
Copyright © 2021 ISEH -- Society for Hematology and Stem Cells. Published by Elsevier Inc. All rights reserved.

Entities:  

Year:  2021        PMID: 33979683     DOI: 10.1016/j.exphem.2021.05.001

Source DB:  PubMed          Journal:  Exp Hematol        ISSN: 0301-472X            Impact factor:   3.084


  3 in total

Review 1.  Multiomic technologies for analyses of inborn errors of immunity: from snapshot of the average cell to dynamic temporal picture at single-cell resolution.

Authors:  Yusuke Kawashima; Ryuta Nishikomori; Osamu Ohara
Journal:  Inflamm Regen       Date:  2021-07-01

Review 2.  Single-Cell Metabolomics in Hematopoiesis and Hematological Malignancies.

Authors:  Fengli Zuo; Jing Yu; Xiujing He
Journal:  Front Oncol       Date:  2022-07-13       Impact factor: 5.738

3.  Biological and Molecular Factors Predicting Response to Adoptive Cell Therapies in Cancer.

Authors:  Gerardo Ferrer; Damiana Álvarez-Errico; Manel Esteller
Journal:  J Natl Cancer Inst       Date:  2022-07-11       Impact factor: 11.816

  3 in total

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