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Chromatin Accessibility Identifies CTCF As a Gatekeeper of Stemness Functions in Human Hematopoietic Development

2016· article· en· W2751873067 on OpenAlexaff
Naoya Takayama, Alex Murison, Shin‐ichiro Takayanagi, Sasan Zandi, Nadia M. Penrod, Amanda Mitchel, James A. Kennedy, Stanley Ng, Stephanie Z. Xie, Mark D. Minden, John E. Dick, Mathieu Lupien

Bibliographic record

VenueBlood · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsOntario Institute for Cancer ResearchUniversity of TorontoPrincess Margaret Cancer CentreUniversity Health Network
Fundersnot available
KeywordsBiologyChromatinCTCFProgenitor cellStem cellCell biologyMultipotent Stem CellGeneticsTranscription factorGeneEnhancer

Abstract

fetched live from OpenAlex

Abstract Hematopoietic stem cells (HSC), at the apex of the blood hierarchy, generate a series of increasingly committed progenitors and ultimately produce terminally differentiated cells at the bottom of the hierarchy. Although HSC and their immediate downstream, multipotent progenitors (MPP) have full multilineage differentiation capacity, only HSC have the capacity for long term self-renewal. Thus comparison of HSC with downstream progenitors that exhibit gradual fate restriction by assuming the identity of a mature blood cell is central to defining how the stemness state is established and how lineage commitment is executed. Interestingly, few genes are differentially expressed between human HSC and MPP, suggesting that some important stem cell mechanisms are in a permissive state and therefore difficult to identify simply by differential gene expression analysis. We hypothesized that these permissive genetic regions could be identified by chromatin analysis. To identify permissive genomic regions, we delineated regions of accessible chromatin through ATAC-seq assays in HSC, MPP, committed progenitors and seven mature lineages from human Cord Blood. DNA recognition motif analysis across accessible chromatin in each developmental stage identified both known and unknown candidate master regulatory transcription factors for each step of lineage development. The DNA recognition motif for CTCF, a crucial effector of chromatin interactions, is enriched in accessible chromatin associated with progenitors but not in HSC, even though CTCF expression is not significantly different among stem and progenitor populations. Knockdown of CTCF in HSC by lentiviral vector system increased the proportion of HSC in G0 cell cycle and consequently reduced the number of mature cells generated in both conventional and high sensitivity single cell assays. The development of differentiated lymphoid and megakaryocytic lineages was affected. Few effects were seen when CTCF was silenced in MPP or more downstream progenitors. Collectively, our results suggest that CTCF is a "gate keeper factor" that regulates transition from dormant to active stages in HSC, and might control stem cell pool throughout life. In parallel to normal blood hierarchies, AML is also composed of a hierarchy with leukemia stem cells and non-stem-like leukemia cells; LSC and non-LSC fractions sorted from 24 AML patients have also been subjected to ATAC-seq. Currently we are comparing HSC and non-HSC with LSC and non-LSC fractions to identify the similarity and differences between normal HSC and LSC. Overall, our study is revealing insights into the stemness state of normal and leukemic stem cells in primary human tissues. Disclosures Takayanagi: Kyowa Hakko Kirin: Employment.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.274
Teacher spread0.260 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2016
Admission routes1
Has abstractyes

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