scholarly journals Signaling Profiling at the Single-Cell Level Identifies a Distinct Signaling Signature in Murine Hematopoietic Stem Cells

Stem Cells ◽  
2012 ◽  
Vol 30 (7) ◽  
pp. 1447-1454 ◽  
Author(s):  
Juan Du ◽  
Jinyong Wang ◽  
Guangyao Kong ◽  
Jing Jiang ◽  
Jingfang Zhang ◽  
...  
Keyword(s):  
Stem Cells ◽  
Hematopoietic Stem Cells ◽  
Single Cell ◽  
Single Cell Level ◽  
Cell Level ◽  
Hematopoietic Stem

Transcriptional Programming in Quiescent Human Hematopoietic Stem Cells - Implications for Regulation of Lineage Commitment Decisions.

Blood ◽  
2005 ◽  
Vol 106 (11) ◽  
pp. 1723-1723
Author(s):  
Cristina Pina ◽  
Tariq Enver
Keyword(s):  
Cell Cycle ◽  
Stem Cells ◽  
Hematopoietic Stem Cells ◽  
Cord Blood ◽  
Single Cell ◽  
Lineage Commitment ◽  
Single Cell Level ◽  
Cell Level ◽  
Hematopoietic Stem ◽  
G1 Cells

Abstract Human cord blood-derived CD133+G0 cells are a primitive population highly enriched in hematopoietic stem cells (HSC). We used this population to investigate the molecular characteristics of primitive human HSC, and, in particular, to unveil how different cell fates of quiescence, self-renewal and lineage commitment and differentiation are regulated at the molecular level. We isolated cord blood CD133+ cells in the G0 and G1 compartments of the cell cycle on the basis of low or high RNA content, respectively, as detected by Pyronin Y staining. More than 98% of the CD133+G0 cells were Ki67-negative, and at least 90% did not express CD38, thus confirming the quiescent and primitive status of the cells. Consistent with earlier findings showing that CD133+G0 cells have the highest reported frequency of LTC-IC (1), our quiescent population presented a significantly higher frequency of LTC-IC when compared to CD133+G1 cells. We further showed that CD133+G0 cells had significantly higher colony-forming capacity in progenitor assays and a higher CFU-Mix content. Initial RT-PCR analysis revealed that while both compartments express the erythroid marker beta-globin, myeloid MPO and lymphoid IL7R can only be observed in CD133+G1 cells. This suggests a hierarchy of commitment decisions in relation to cell cycle that places the erythroid signature upstream of myelo-lymphoid differentiation and may be in agreement with revised models of the hematopoietic differentiation tree recently proposed in mouse (2). This hypothesis is currently being assessed at the single-cell level. We next compared the overall gene expression programmes of CD133+G0 and G1 populations using global profiling. Consistent with the sorting criteria, CD133+G1-enriched transcripts have a comparatively higher frequency of cell cycle, protein synthesis and RNA processing, and metabolism-associated genes, which underlines the robustness of the data. The CD133+G1 population is associated with a lymphoid signature, including immunoglobulin heavy and light chains, and the SLAM family member CD48, which is consistent with the revised hierarchy of commitment decisions discussed above. Functional categories comparatively over-represented amongst CD133+G0-enriched genes include transcriptional regulation and signal transduction, suggesting that primitive quiescent HSC are ready to respond to a variety of cues that modulate alternative fate decisions. Since the transcriptional profile of a given population of cells may not reflect the transcriptional profile of each individual cell, we are currently analyzing the expression patterns of CD133+G0-enriched transcription factors (TF) at the single-cell level. This approach may help define subpopulations of cells with unique molecular signatures and suggest functional subcompartments within an otherwise heterogeneous population of primitive hematopoietic cells.

scholarly journals Single-Cell Transcriptome Analysis as a Promising Tool to Study Pluripotent Stem Cell Reprogramming

2021 ◽  
Vol 22 (11) ◽  
pp. 5988
Author(s):  
Hyun Kyu Kim ◽  
Tae Won Ha ◽  
Man Ryul Lee
Keyword(s):  
Stem Cells ◽  
Single Cell ◽  
Cell Fate ◽  
Human Cell ◽  
Transcriptome Analysis ◽  
Single Cell Analysis ◽  
Embryonic Stem ◽  
Single Cell Level ◽  
Cell Analysis ◽  
Cell Level

Cells are the basic units of all organisms and are involved in all vital activities, such as proliferation, differentiation, senescence, and apoptosis. A human body consists of more than 30 trillion cells generated through repeated division and differentiation from a single-cell fertilized egg in a highly organized programmatic fashion. Since the recent formation of the Human Cell Atlas consortium, establishing the Human Cell Atlas at the single-cell level has been an ongoing activity with the goal of understanding the mechanisms underlying diseases and vital cellular activities at the level of the single cell. In particular, transcriptome analysis of embryonic stem cells at the single-cell level is of great importance, as these cells are responsible for determining cell fate. Here, we review single-cell analysis techniques that have been actively used in recent years, introduce the single-cell analysis studies currently in progress in pluripotent stem cells and reprogramming, and forecast future studies.

Single-cell analyses show TGF-b1 reduces self-renewal and myeloid differentiation potentials in hematopoietic stem cells

2017 ◽  
Vol 53 ◽  
pp. S109-S110
Author(s):  
Xiaofang Wang ◽  
Fang Dong ◽  
Sen Zhang ◽  
Wanzhu Yang ◽  
Zhao Wang ◽  
...  
Keyword(s):  
Stem Cells ◽  
Hematopoietic Stem Cells ◽  
Single Cell ◽  
Myeloid Differentiation ◽  
Self Renewal ◽  
Hematopoietic Stem

scholarly journals Reconstructing Boolean network ensembles from single-cell data for unraveling dynamics in the aging of human hematopoietic stem cells

2021 ◽  
Vol 19 ◽  
pp. 5321-5332
Author(s):  
Julian D. Schwab ◽  
Nensi Ikonomi ◽  
Silke D. Werle ◽  
Felix M. Weidner ◽  
Hartmut Geiger ◽  
...  
Keyword(s):  
Stem Cells ◽  
Hematopoietic Stem Cells ◽  
Single Cell ◽  
Boolean Network ◽  
Hematopoietic Stem ◽  
Network Ensembles ◽  
Cell Data

scholarly journals Microfluidic single cell arrays to interrogate signalling dynamics of individual, patient-derived hematopoietic stem cells

Lab on a Chip ◽  
2009 ◽  
Vol 9 (18) ◽  
pp. 2659 ◽  
Author(s):  
Shannon L. Faley ◽  
Mhairi Copland ◽  
Donald Wlodkowic ◽  
Walter Kolch ◽  
Kevin T. Seale ◽  
...  
Keyword(s):  
Stem Cells ◽  
Hematopoietic Stem Cells ◽  
Single Cell ◽  
Hematopoietic Stem ◽  
Cell Arrays

scholarly journals Probing the Interaction Forces of Prostate Cancer Cells with Collagen I and Bone Marrow Derived Stem Cells on the Single Cell Level

PLoS ONE ◽  
2013 ◽  
Vol 8 (3) ◽  
pp. e57706 ◽  
Author(s):  
Ediz Sariisik ◽  
Denitsa Docheva ◽  
Daniela Padula ◽  
Cvetan Popov ◽  
Jan Opfer ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Stem Cells ◽  
Bone Marrow ◽  
Single Cell ◽  
Cancer Cells ◽  
Collagen I ◽  
Single Cell Level ◽  
Prostate Cancer Cells ◽  
Cell Level ◽  
Interaction Forces

On the symmetry of siblings: automated single-cell tracking to quantify the behavior of hematopoietic stem cells in a biomimetic setup

2012 ◽  
Vol 40 (2) ◽  
pp. 119-130.e9 ◽  
Author(s):  
Nico Scherf ◽  
Katja Franke ◽  
Ingmar Glauche ◽  
Ina Kurth ◽  
Martin Bornhäuser ◽  
...  
Keyword(s):  
Stem Cells ◽  
Hematopoietic Stem Cells ◽  
Single Cell ◽  
Cell Tracking ◽  
Hematopoietic Stem
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