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Single-Molecule Real-Time (SMRT) Full-Length RNA-Sequencing Reveals Novel and Distinct mRNA Isoforms in Human Bone Marrow Cell Subpopulations

Hematopoietic cells are continuously replenished from progenitor cells that reside in the bone marrow. To evaluate molecular changes during this process, we analyzed the transcriptomes of freshly harvested human bone marrow progenitor (lineage-negative) and differentiated (lineage-positive) cells by...

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Autores principales: Deslattes Mays, Anne, Schmidt, Marcel, Graham, Garrett, Tseng, Elizabeth, Baybayan, Primo, Sebra, Robert, Sanda, Miloslav, Mazarati, Jean-Baptiste, Riegel, Anna, Wellstein, Anton
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6523297/
https://www.ncbi.nlm.nih.gov/pubmed/30934798
http://dx.doi.org/10.3390/genes10040253
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author Deslattes Mays, Anne
Schmidt, Marcel
Graham, Garrett
Tseng, Elizabeth
Baybayan, Primo
Sebra, Robert
Sanda, Miloslav
Mazarati, Jean-Baptiste
Riegel, Anna
Wellstein, Anton
author_facet Deslattes Mays, Anne
Schmidt, Marcel
Graham, Garrett
Tseng, Elizabeth
Baybayan, Primo
Sebra, Robert
Sanda, Miloslav
Mazarati, Jean-Baptiste
Riegel, Anna
Wellstein, Anton
author_sort Deslattes Mays, Anne
collection PubMed
description Hematopoietic cells are continuously replenished from progenitor cells that reside in the bone marrow. To evaluate molecular changes during this process, we analyzed the transcriptomes of freshly harvested human bone marrow progenitor (lineage-negative) and differentiated (lineage-positive) cells by single-molecule real-time (SMRT) full-length RNA-sequencing. This analysis revealed a ~5-fold higher number of transcript isoforms than previously detected and showed a distinct composition of individual transcript isoforms characteristic for bone marrow subpopulations. A detailed analysis of messenger RNA (mRNA) isoforms transcribed from the ANXA1 and EEF1A1 loci confirmed their distinct composition. The expression of proteins predicted from the transcriptome analysis was evaluated by mass spectrometry and validated previously unknown protein isoforms predicted e.g., for EEF1A1. These protein isoforms distinguished the lineage negative cell population from the lineage positive cell population. Finally, transcript isoforms expressed from paralogous gene loci (e.g., CFD, GATA2, HLA-A, B, and C) also distinguished cell subpopulations but were only detectable by full-length RNA sequencing. Thus, qualitatively distinct transcript isoforms from individual genomic loci separate bone marrow cell subpopulations indicating complex transcriptional regulation and protein isoform generation during hematopoiesis.
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spelling pubmed-65232972019-06-03 Single-Molecule Real-Time (SMRT) Full-Length RNA-Sequencing Reveals Novel and Distinct mRNA Isoforms in Human Bone Marrow Cell Subpopulations Deslattes Mays, Anne Schmidt, Marcel Graham, Garrett Tseng, Elizabeth Baybayan, Primo Sebra, Robert Sanda, Miloslav Mazarati, Jean-Baptiste Riegel, Anna Wellstein, Anton Genes (Basel) Article Hematopoietic cells are continuously replenished from progenitor cells that reside in the bone marrow. To evaluate molecular changes during this process, we analyzed the transcriptomes of freshly harvested human bone marrow progenitor (lineage-negative) and differentiated (lineage-positive) cells by single-molecule real-time (SMRT) full-length RNA-sequencing. This analysis revealed a ~5-fold higher number of transcript isoforms than previously detected and showed a distinct composition of individual transcript isoforms characteristic for bone marrow subpopulations. A detailed analysis of messenger RNA (mRNA) isoforms transcribed from the ANXA1 and EEF1A1 loci confirmed their distinct composition. The expression of proteins predicted from the transcriptome analysis was evaluated by mass spectrometry and validated previously unknown protein isoforms predicted e.g., for EEF1A1. These protein isoforms distinguished the lineage negative cell population from the lineage positive cell population. Finally, transcript isoforms expressed from paralogous gene loci (e.g., CFD, GATA2, HLA-A, B, and C) also distinguished cell subpopulations but were only detectable by full-length RNA sequencing. Thus, qualitatively distinct transcript isoforms from individual genomic loci separate bone marrow cell subpopulations indicating complex transcriptional regulation and protein isoform generation during hematopoiesis. MDPI 2019-03-27 /pmc/articles/PMC6523297/ /pubmed/30934798 http://dx.doi.org/10.3390/genes10040253 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Deslattes Mays, Anne
Schmidt, Marcel
Graham, Garrett
Tseng, Elizabeth
Baybayan, Primo
Sebra, Robert
Sanda, Miloslav
Mazarati, Jean-Baptiste
Riegel, Anna
Wellstein, Anton
Single-Molecule Real-Time (SMRT) Full-Length RNA-Sequencing Reveals Novel and Distinct mRNA Isoforms in Human Bone Marrow Cell Subpopulations
title Single-Molecule Real-Time (SMRT) Full-Length RNA-Sequencing Reveals Novel and Distinct mRNA Isoforms in Human Bone Marrow Cell Subpopulations
title_full Single-Molecule Real-Time (SMRT) Full-Length RNA-Sequencing Reveals Novel and Distinct mRNA Isoforms in Human Bone Marrow Cell Subpopulations
title_fullStr Single-Molecule Real-Time (SMRT) Full-Length RNA-Sequencing Reveals Novel and Distinct mRNA Isoforms in Human Bone Marrow Cell Subpopulations
title_full_unstemmed Single-Molecule Real-Time (SMRT) Full-Length RNA-Sequencing Reveals Novel and Distinct mRNA Isoforms in Human Bone Marrow Cell Subpopulations
title_short Single-Molecule Real-Time (SMRT) Full-Length RNA-Sequencing Reveals Novel and Distinct mRNA Isoforms in Human Bone Marrow Cell Subpopulations
title_sort single-molecule real-time (smrt) full-length rna-sequencing reveals novel and distinct mrna isoforms in human bone marrow cell subpopulations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6523297/
https://www.ncbi.nlm.nih.gov/pubmed/30934798
http://dx.doi.org/10.3390/genes10040253
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