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Record W3213145999 · doi:10.1182/blood-2021-147575

RNA Binding Protein Syncrip Is Required for the Low-Output HSC By Sustaining Proteome Quality

2021· article· en· W3213145999 on OpenAlexaff
Florisela Herrejon Chavez, Paolo Cifani, Alli Pine, Karen L. Chu, Ersilia Barin, Alexandra Schurer, Hanzhi Luo, Diu Nguyen, Alex Kentsis, Christina S. Leslie, Michael G. Kharas, Ly Vu

Bibliographic record

VenueBlood · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Research and Splicing
Canadian institutionsSimon Fraser UniversityBC Cancer Agency
Fundersnot available
KeywordsHaematopoiesisStem cellBiologyTransplantationBone marrowProgenitor cellHematopoietic stem cellMolecular biologyLeukemiaMyeloid leukemiaRNA-binding proteinMyeloidConditional gene knockoutRNAImmunologyCell biologyCancer researchGeneticsGeneInternal medicineMedicine

Abstract

fetched live from OpenAlex

Abstract RNA binding proteins (RBPs) have been increasingly recognized as an important class of regulators of normal and malignant hematopoiesis. However, the exact function and underpinning mechanisms of the RBPs that govern hematopoietic stem cells (HSCs) remains poorly characterized. We had previously identified SYNCRIP as a critical RBP that controls leukemia stem cell program in myeloid leukemia. Here, using the novel murine genetic conditional knockout (cKO) model, we delineated the role of SYNCRIP in regulating the low-output HSC. We developed a Syncrip cKO allele and crossed Syncripf/f mice to the interferon (IFN) -a-inducible Mx-1-Cre mice to create Syncripf/f Mx-1-Cre+. We consistently obtained near complete depletion of SYNCRIP 3 weeks after two consecutive Poly(I:C) injections. We observed that SYNCRIP is dispensable for static hematopoiesis and Syncrip KO animals showed equivalent number and frequencies of stem and progenitor cells (Lin-Sca+cKit+ (LSK)- LT-HSC (CD48-CD150+); MPP1 (CD48-CD150-); MPP2 (CD48+CD150+); MPP4 (CD48-CD150-)). However, KO SyncripD/D deficient cells were outcompeted by WT Syncripf/f cells in the transplantation setting (bone marrow (BM) chimerism WT (n=9) 38% ± 7.8% vs. KO (n=9) 2.7% ± 0.8%, p<0.001 at 16 weeks post-transplant) and completely lost their ability to repopulate in secondary recipient animals (WT (n=5) 58% ± 7.4% vs. KO (n=5) 7.2 %± 2.9%, p<0.001 at 16 weeks post-transplant). These data strongly indicate that SYNCRIP is critical for maintenance of long-term self-renewal of HSCs. To decipher the effect of Syncrip deletion on the transcriptomic changes in different cell types upon Syncrip loss, we performed single cell RNA sequencing analysis (scRNA-seq) of sorted LK cells (Lin-cKit+ cells) from KO SyncripD/D (n=3) vs. WT Syncrip f/f (n=3) mice. While there is no significant change in frequencies of stem and progenitor compartments, we found defective trajectory from the HSC that is closely identified as low-output HSC based on previously performed barcoding studies. We observed a strong activation of cellular response to stress and unfolded proteins, in particular the HSF1-dependent pathways upon Syncrip depletion specifically within the HSC population. To further investigate the impacts of SYNCRIP loss in the HSC unfolded protein stress response, we evaluated unfolded proteins in cells using tetraphenylethene maleimide (TMI)-based flow cytometry. The abundance of accessible thiols in unfolded proteins, which is bound by TMI serves as a surrogate measurement for the state of the unfolded proteome. We consistently observed almost 2.5-fold increase in TMI signals specifically in LT-HSC, but not ST-HSCs or MPPs upon SYNCRIP deletion indicating that SYNCRIP is required to maintain high protein quality in HSCs. Similar results were obtained with the epichaperome probe PU-FITC, which consists of HSP90 inhibitor PU-H71 conjugated to FITC. PU-H71 selectively binds to the altered epichaperome, which reflects an accumulation of chaperon networks in an aberrant cellular stress condition. Altogether, these data further confirmed that SYNCRIP depletion tips off the proteostatic balance. To understand the molecular mechanisms underpinning the functional requirement of SYNCRIP in HSPCs, we identified 534 direct mRNA targets of SYNCRIP using hyper-TRIBE method. We performed transcriptomic and proteomic analysis of sorted LT- HSCs and LSKs respectively upon SYNCRIP deletion. We integrated these datasets and found a strong enrichment of SYNCRIP targets in control of cytoskeleton and RHO GTPase related pathways. Using immunofluorescence imaging, we confirmed that SYNCRIP deletion in HSCs resulted in 2-fold reduction in RHO GTPase CDC42 expression coupled with reduced tubulin and a loss of cellular polarity (percentage of tubulin polarized cells 56% WT vs. 40% KO). We also observed that Syncrip deficient HSCs demonstrated reduced expression of lysosomal-associated membrane protein 1 (LAMP-1) and less asymmetric distribution of LAMP1 marked lysosomes during cell division (LAMP1 asymmetric division 25% WT vs. 19% KO). Overexpression of CDC42 restored cell polarity and partly rescued ability of KO SyncripD/D to serially replate. Overall, SYNCRIP is required for maintenance of protein homeostasis and cell polarity of the reserve HSCs. Our study uncovers a new regulatory axis that controls stem cell stress responses to preserve HSC self-renewal. Disclosures No relevant conflicts of interest to declare.

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 score0.002
Threshold uncertainty score0.007

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.025
GPT teacher head0.305
Teacher spread0.280 · 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".

Quick stats

Citations1
Published2021
Admission routes1
Has abstractyes

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