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Dive into the research topics where Kyle Ferchen is active.

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Featured researches published by Kyle Ferchen.


Cell Stem Cell | 2017

METTL14 Inhibits Hematopoietic Stem/Progenitor Differentiation and Promotes Leukemogenesis via mRNA m6A Modification

Hengyou Weng; Huilin Huang; Huizhe Wu; Xi Qin; Boxuan Simen Zhao; Lei Dong; Hailing Shi; Jennifer R. Skibbe; Chao Shen; Chao Hu; Yue Sheng; Yungui Wang; Mark Wunderlich; Bin Zhang; Louis C. Doré; Rui Su; Xiaolan Deng; Kyle Ferchen; Chenying Li; Miao Sun; Zhike Lu; Xi Jiang; Guido Marcucci; James C. Mulloy; Jianhua Yang; Zhijian Qian; Minjie Wei; Chuan He; Jianjun Chen

N6-methyladenosine (m6A), the most prevalent internal modification in eukaryotic messenger RNAs (mRNAs), plays critical roles in many bioprocesses. However, its functions in normal and malignant hematopoiesis remain elusive. Here, we report that METTL14, a key component of the m6A methyltransferase complex, is highly expressed in normal hematopoietic stem/progenitor cells (HSPCs) and acute myeloid leukemia (AML) cells carrying t(11q23), t(15;17), or t(8;21) and is downregulated during myeloid differentiation. Silencing of METTL14 promotes terminal myeloid differentiation of normal HSPCs and AML cells and inhibits AML cell survival/proliferation. METTL14 is required for development and maintenance of AML and self-renewal of leukemia stem/initiation cells (LSCs/LICs). Mechanistically, METTL14 exerts its oncogenic role by regulating its mRNA targets (e.g., MYB and MYC) through m6A modification, while the protein itself is negatively regulated by SPI1. Collectively, our results reveal the SPI1-METTL14-MYB/MYC signaling axis in myelopoiesis and leukemogenesis and highlight the critical roles of METTL14 and m6A modification in normal and malignant hematopoiesis.


Cancer Research | 2016

Eradication of acute myeloid leukemia with FLT3 ligand-targeted miR-150 nanoparticles

Xi Jiang; Jason Bugno; Chao Hu; Yang Yang; Tobias Herold; Jun Qi; Ping Chen; Sandeep Gurbuxani; Stephen Arnovitz; Jennifer Strong; Kyle Ferchen; Bryan Ulrich; Hengyou Weng; Yungui Wang; Hao Huang; Shenglai Li; Mary Beth Neilly; Richard A. Larson; Michelle M. Le Beau; Stefan K. Bohlander; Jie Jin; Zejuan Li; James E. Bradner; Seungpyo Hong; Jianjun Chen

Acute myeloid leukemia (AML) is a common and fatal form of hematopoietic malignancy. Overexpression and/or mutations of FLT3 have been shown to occur in the majority of cases of AML. Our analysis of a large-scale AML patient cohort (N = 562) indicates that FLT3 is particularly highly expressed in some subtypes of AML, such as AML with t(11q23)/MLL-rearrangements or FLT3-ITD. Such AML subtypes are known to be associated with unfavorable prognosis. To treat FLT3-overexpressing AML, we developed a novel targeted nanoparticle system: FLT3 ligand (FLT3L)-conjugated G7 poly(amidoamine) (PAMAM) nanosized dendriplex encapsulating miR-150, a pivotal tumor suppressor and negative regulator of FLT3 We show that the FLT3L-guided miR-150 nanoparticles selectively and efficiently target FLT3-overexpressing AML cells and significantly inhibit viability/growth and promote apoptosis of the AML cells. Our proof-of-concept animal model studies demonstrate that the FLT3L-guided miR-150 nanoparticles tend to concentrate in bone marrow, and significantly inhibit progression of FLT3-overexpressing AML in vivo, while exhibiting no obvious side effects on normal hematopoiesis. Collectively, we have developed a novel targeted therapeutic strategy, using FLT3L-guided miR-150-based nanoparticles, to treat FLT3-overexpressing AML with high efficacy and minimal side effects. Cancer Res; 76(15); 4470-80. ©2016 AACR.


Scientific Reports | 2017

ALOX5 exhibits anti-tumor and drug-sensitizing effects in MLL -rearranged leukemia

Yungui Wang; Jennifer R. Skibbe; Chao Hu; Lei Dong; Kyle Ferchen; Rui Su; Chenying Li; Hao Huang; Hengyou Weng; Huilin Huang; Xi Qin; Jie Jin; Jianjun Chen; Xi Jiang

MLL-rearranged acute myeloid leukemia (AML) remains a fatal disease with a high rate of relapse and therapeutic failure due to chemotherapy resistance. In analysis of our Affymetrix microarray profiling and chromatin immunoprecipitation (ChIP) assays, we found that ALOX5 is especially down-regulated in MLL-rearranged AML, via transcription repression mediated by Polycomb repressive complex 2 (PRC2). Colony forming/replating and bone marrow transplantation (BMT) assays showed that Alox5 exhibited a moderate anti-tumor effect both in vitro and in vivo. Strikingly, leukemic cells with Alox5 overexpression showed a significantly higher sensitivity to the standard chemotherapeutic agents, i.e., doxorubicin (DOX) and cytarabine (Ara-C). The drug-sensitizing role of Alox5 was further confirmed in human and murine MLL-rearranged AML cell models in vitro, as well as in the in vivo MLL-rearranged AML BMT model coupled with treatment of “5 + 3” (i.e. DOX plus Ara-C) regimen. Stat and K-Ras signaling pathways were negatively correlated with Alox5 overexpression in MLL-AF9-leukemic blast cells; inhibition of the above signaling pathways mimicked the drug-sensitizing effect of ALOX5 in AML cells. Collectively, our work shows that ALOX5 plays a moderate anti-tumor role and functions as a drug sensitizer, with a therapeutic potential, in MLL-rearranged AML.


bioRxiv | 2018

CellHarmony: Cell-level matching and comparison of single-cell transcriptomes

Erica Depasquale; Kyle Ferchen; Stuart Hay; David E. Muench; H. Leighton Grimes; Nathan Salomonis

To understand the molecular etiology of human disease, precision analyses of individual cell populations and their molecular alternations are desperately needed. Single-cell genomics represents an ideal platform to enable to the quantification of specific cell types, the discovery of transcriptional cell states and underlying molecular differences that can be compared across specimens. We present a new computational approach called cellHarmony, to consistently classify individual cells from a query (i.e., mutant) against a reference (i.e., wild-type) dataset to discover crucial differences in discrete or transitional cell-populations. CellHarmony performs a supervised classification of new scRNA-Seq data against a priori delineated cell populations and assoicated genes to visualize the combined datasets and derive consistent annotations in a platform-independent manner. Such analyses enable the comparison of results from distinct single-cell platforms against well-curated references or against orthogonal profiles from a related experiment. In addition, cellHarmony produces differential expression results from non-confounded aligned cell populations to explore the impact of chemical, genetic, environmental and temporal perturbations. This approach works seamlessly with the unsupervised classification and annotation of cell-states using the software ICGS in AltAnalyze. Using cellHarmony, we demonstrate consistent molecular and population insights in scRNA-Seq data from models of Acute Myeloid Leukemia, across technological platforms and using references derived from the Human Cell Atlas project.


Nature Communications | 2018

Author Correction: Targeted inhibition of STAT/TET1 axis as a therapeutic strategy for acute myeloid leukemia

Xi Jiang; Chao Hu; Kyle Ferchen; Ji Nie; Xiaolong Cui; Chih-Hong Chen; Liting Cheng; Zhixiang Zuo; William Seibel; Chunjiang He; Yixuan Tang; Jennifer R. Skibbe; Mark Wunderlich; William C. Reinhold; Lei Dong; Chao Shen; Stephen Arnovitz; Bryan Ulrich; Jiuwei Lu; Hengyou Weng; Rui Su; Huilin Huang; Yungui Wang; Chenying Li; Xi Qin; James C. Mulloy; Yi Zheng; Jiajie Diao; Jie Jin; Chong Li

The original version of this Article contained an error in the spelling of the author James C. Mulloy, which was incorrectly given as James Mulloy. This has now been corrected in both the PDF and HTML versions of the Article.


Experimental Hematology | 2018

The Human Cell Atlas Bone Marrow Single-Cell Interactive Web Portal

Stuart Hay; Kyle Ferchen; Kashish Chetal; H. Leighton Grimes; Nathan Salomonis

The Human Cell Atlas (HCA) is expected to facilitate the creation of reference cell profiles, marker genes, and gene regulatory networks that will provide a deeper understanding of healthy and disease cell types from clinical biospecimens. The hematopoietic system includes dozens of distinct, transcriptionally coherent cell types, including intermediate transitional populations that have not been previously described at a molecular level. Using the first data release from the HCA bone marrow tissue project, we resolved common, rare, and potentially transitional cell populations from over 100,000 hematopoietic cells spanning 35 transcriptionally coherent groups across eight healthy donors using emerging new computational approaches. These data highlight novel mixed-lineage progenitor populations and putative trajectories governing granulocytic, monocytic, lymphoid, erythroid, megakaryocytic, and eosinophil specification. Our analyses suggest significant variation in cell-type composition and gene expression among donors, including biological processes affected by donor age. To enable broad exploration of these findings, we provide an interactive website to probe intra-cell and extra-cell population differences within and between donors and reference markers for cellular classification and cellular trajectories through associated progenitor states.


Blood | 2018

SKI controls MDS-associated chronic TGFβ signaling, aberrant splicing, and stem cell fitness

David E. Muench; Kyle Ferchen; Chinavenmeni S. Velu; Kith Pradhan; Kashish Chetal; Xiaoting Chen; Matthew T. Weirauch; Clemencia Colmenares; Amit Verma; Nathan Salomonis; H. Leighton Grimes

The transforming growth factor beta (TGF-β) signaling pathway controls hematopoietic stem cell (HSC) behavior in the marrow niche; however, TGF-β signaling becomes chronic in early-stage myelodysplastic syndrome (MDS). Although TGF-β signaling normally induces negative feedback, in early-stage MDS, high levels of microRNA-21 (miR-21) contribute to chronic TGF-β signaling. We found that a TGF-β signal-correlated gene signature is sufficient to identify an MDS patient population with abnormal RNA splicing (eg, CSF3R) independent of splicing factor mutations and coincident with low HNRNPK activity. Levels of SKI messenger RNA (mRNA) encoding a TGF-β antagonist are sufficient to identify these patients. However, MDS patients with high SKI mRNA and chronic TGF-β signaling lack SKI protein because of miR-21 activity. To determine the impact of SKI loss, we examined murine Ski -/- HSC function. First, competitive HSC transplants revealed a profound defect in stem cell fitness (competitive disadvantage) but not specification, homing, or multilineage production. Aged recipients of Ski -/- HSCs exhibited mild phenotypes similar to phenotypes in those with macrocytic anemia. Second, blastocyst complementation revealed a dramatic block in Ski -/- hematopoiesis in the absence of transplantation. Similar to SKI-high MDS patient samples, Ski -/- HSCs strikingly upregulated TGF-β signaling and deregulated expression of spliceosome genes (including Hnrnpk). Moreover, novel single-cell splicing analyses demonstrated that Ski -/- HSCs and high levels of SKI expression in MDS patient samples share abnormal alternative splicing of common genes (including those that encode splicing factors). We conclude that miR-21-mediated loss of SKI activates TGF-β signaling and alternative splicing to impair the competitive advantage of normal HSCs (fitness), which could contribute to selection of early-stage MDS-genic clones.


Cell | 2018

R-2HG Exhibits Anti-tumor Activity by Targeting FTO/m6A/MYC/CEBPA Signaling

Rui Su; Lei Dong; Chenying Li; Sigrid Nachtergaele; Mark Wunderlich; Ying Qing; Xiaolan Deng; Yungui Wang; Xiaocheng Weng; Chao Hu; Mengxia Yu; Jennifer R. Skibbe; Qing Dai; Dongling Zou; Tong Wu; Kangkang Yu; Hengyou Weng; Huilin Huang; Kyle Ferchen; Xi Qin; Bin Zhang; Jun Qi; Atsuo T. Sasaki; David R. Plas; James E. Bradner; Minjie Wei; Guido Marcucci; Xi Jiang; James C. Mulloy; Jie Jin


Nature Communications | 2017

Targeted inhibition of STAT/TET1 axis as a therapeutic strategy for acute myeloid leukemia

Xi Jiang; Chao Hu; Kyle Ferchen; Ji Nie; Xiaolong Cui; Chih-Hong Chen; Liting Cheng; Zhixiang Zuo; William Seibel; Chunjiang He; Yixuan Tang; Jennifer R. Skibbe; Mark Wunderlich; William C. Reinhold; Lei Dong; Chao Shen; Stephen Arnovitz; Bryan Ulrich; Jiuwei Lu; Hengyou Weng; Rui Su; Huilin Huang; Yungui Wang; Chenying Li; Xi Qin; James C. Mulloy; Yi Zheng; Jiajie Diao; Jie Jin; Chong Li


Experimental Hematology | 2018

Understanding Early Stage Myelodysplastic Syndrome Pathobiology

David E. Muench; Kyle Ferchen; Andre Olsson; Pankaj Dwivedi; Kenneth D. Greis; Amit Verma; Nathan Salomonis; H. Leighton Grimes

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Hengyou Weng

University of Cincinnati

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Xi Jiang

University of Cincinnati

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Huilin Huang

University of Cincinnati

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Lei Dong

University of Cincinnati

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Rui Su

University of Cincinnati

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Xi Qin

University of Cincinnati

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