Literature DB >> 30518681

Human bone marrow assessment by single-cell RNA sequencing, mass cytometry, and flow cytometry.

Karolyn A Oetjen1, Katherine E Lindblad1, Meghali Goswami1, Gege Gui1, Pradeep K Dagur2, Catherine Lai1, Laura W Dillon1, J Philip McCoy2, Christopher S Hourigan1.   

Abstract

New techniques for single-cell analysis have led to insights into hematopoiesis and the immune system, but the ability of these techniques to cross-validate and reproducibly identify the biological variation in diverse human samples is currently unproven. We therefore performed a comprehensive assessment of human bone marrow cells using both single-cell RNA sequencing and multiparameter flow cytometry from 20 healthy adult human donors across a broad age range. These data characterize variation between healthy donors as well as age-associated changes in cell population frequencies. Direct comparison of techniques revealed discrepancy in the quantification of T lymphocyte and natural killer cell populations. Orthogonal validation of immunophenotyping using mass cytometry demonstrated a strong correlation with flow cytometry. Technical replicates using single-cell RNA sequencing matched robustly, while biological replicates showed variation. Given the increasing use of single-cell technologies in translational research, this resource serves as an important reference data set and highlights opportunities for further refinement.

Entities:  

Keywords:  Adaptive immunity; Bone marrow; Bone marrow differentiation; Hematology; Immunology

Mesh:

Year:  2018        PMID: 30518681      PMCID: PMC6328018          DOI: 10.1172/jci.insight.124928

Source DB:  PubMed          Journal:  JCI Insight        ISSN: 2379-3708


  35 in total

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Review 2.  Single-cell RNA sequencing to explore immune cell heterogeneity.

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Journal:  Cell       Date:  2017-06-29       Impact factor: 41.582

4.  Statistical methods for assessing agreement between two methods of clinical measurement.

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Review 5.  Quantification and three-dimensional microanatomical organization of the bone marrow.

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6.  Human bone marrow hematopoietic stem cells are increased in frequency and myeloid-biased with age.

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7.  Single-cell mass cytometry of differential immune and drug responses across a human hematopoietic continuum.

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9.  xCell: digitally portraying the tissue cellular heterogeneity landscape.

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Journal:  Genome Biol       Date:  2017-11-15       Impact factor: 13.583

10.  An Immune Atlas of Clear Cell Renal Cell Carcinoma.

Authors:  Stéphane Chevrier; Jacob Harrison Levine; Vito Riccardo Tomaso Zanotelli; Karina Silina; Daniel Schulz; Marina Bacac; Carola Hermine Ries; Laurie Ailles; Michael Alexander Spencer Jewett; Holger Moch; Maries van den Broek; Christian Beisel; Michael Beda Stadler; Craig Gedye; Bernhard Reis; Dana Pe'er; Bernd Bodenmiller
Journal:  Cell       Date:  2017-05-04       Impact factor: 41.582

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  36 in total

Review 1.  A Cancer Biologist's Primer on Machine Learning Applications in High-Dimensional Cytometry.

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2.  Highly multiplexed proteomic assessment of human bone marrow in acute myeloid leukemia.

Authors:  Haydar Çelik; Katherine E Lindblad; Bogdan Popescu; Gege Gui; Meghali Goswami; Janet Valdez; Christin DeStefano; Catherine Lai; Julie Thompson; Jack Y Ghannam; Giovanna Fantoni; Angélique Biancotto; Julián Candia; Foo Cheung; Gauthaman Sukumar; Clifton L Dalgard; Richard H Smith; Andre Larochelle; Laura W Dillon; Christopher S Hourigan
Journal:  Blood Adv       Date:  2020-01-28

3.  Human prostate cancer bone metastases have an actionable immunosuppressive microenvironment.

Authors:  Youmna Kfoury; Ninib Baryawno; Nicolas Severe; Shenglin Mei; Karin Gustafsson; Taghreed Hirz; Thomas Brouse; Elizabeth W Scadden; Anna A Igolkina; Konstantinos Kokkaliaris; Bryan D Choi; Nikolas Barkas; Mark A Randolph; John H Shin; Philip J Saylor; David T Scadden; David B Sykes; Peter V Kharchenko
Journal:  Cancer Cell       Date:  2021-10-15       Impact factor: 31.743

4.  Single-Cell RNA Sequencing Unravels Upregulation of Immune Cell Crosstalk in Relapsed Pediatric Ependymoma.

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Review 5.  Recent updates on the biological basis of heterogeneity in bone marrow stromal cells/skeletal stem cells.

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Journal:  Biomater Transl       Date:  2022-03-28

6.  Profiling of mature-stage human breast milk cells identifies six unique lactocyte subpopulations.

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7.  Single-Cell Gene Expression Analyses Reveal Distinct Self-Renewing and Proliferating Subsets in the Leukemia Stem Cell Compartment in Acute Myeloid Leukemia.

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8.  Single-Cell RNA Sequencing of Bone Marrow Mesenchymal Stem Cells from the Elderly People.

Authors:  Dezhou Zhu; Jie Gao; Chengxuan Tang; Zheng Xu; Tiansheng Sun
Journal:  Int J Stem Cells       Date:  2022-05-30       Impact factor: 3.011

9.  The T cell differentiation landscape is shaped by tumour mutations in lung cancer.

Authors:  Ehsan Ghorani; James L Reading; Jake Y Henry; Marc Robert de Massy; Rachel Rosenthal; Virginia Turati; Kroopa Joshi; Andrew J S Furness; Assma Ben Aissa; Sunil Kumar Saini; Sofie Ramskov; Andrew Georgiou; Mariana Werner Sunderland; Yien Ning Sophia Wong; Maria Vila De Mucha; William Day; Felipe Galvez-Cancino; Pablo D Becker; Imran Uddin; Theres Oakes; Mazlina Ismail; Tahel Ronel; Annemarie Woolston; Mariam Jamal-Hanjani; Selvaraju Veeriah; Nicolai J Birkbak; Gareth A Wilson; Kevin Litchfield; Lucia Conde; José Afonso Guerra-Assunção; Kevin Blighe; Dhruva Biswas; Roberto Salgado; Tom Lund; Maise Al Bakir; David A Moore; Crispin T Hiley; Sherene Loi; Yuxin Sun; Yinyin Yuan; Khalid AbdulJabbar; Samra Turajilic; Javier Herrero; Tariq Enver; Sine R Hadrup; Allan Hackshaw; Karl S Peggs; Nicholas McGranahan; Benny Chain; Charles Swanton; Sergio A Quezada
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10.  Knowledge-based classification of fine-grained immune cell types in single-cell RNA-Seq data.

Authors:  Xuan Liu; Sara J C Gosline; Lance T Pflieger; Pierre Wallet; Archana Iyer; Justin Guinney; Andrea H Bild; Jeffrey T Chang
Journal:  Brief Bioinform       Date:  2021-09-02       Impact factor: 11.622

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