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Kejin Hu

University of North Texas

ORCID: 0000-0003-3111-4054

Publishes on Pluripotent Stem Cells Research, CRISPR and Genetic Engineering, RNA Interference and Gene Delivery. 41 papers and 3.5k citations.

41Publications
3.5kTotal Citations

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Top publicationsby citations

Human Induced Pluripotent Stem Cells Free of Vector and Transgene Sequences
Junying Yu, Kejin Hu, Kim Smuga-Otto et al.|Science|2009
Cited by 2.4kOpen Access

Reprogramming differentiated human cells to induced pluripotent stem (iPS) cells has applications in basic biology, drug development, and transplantation. Human iPS cell derivation previously required vectors that integrate into the genome, which can create mutations and limit the utility of the cells in both research and clinical applications. We describe the derivation of human iPS cells with the use of nonintegrating episomal vectors. After removal of the episome, iPS cells completely free of vector and transgene sequences are derived that are similar to human embryonic stem (ES) cells in proliferative and developmental potential. These results demonstrate that reprogramming human somatic cells does not require genomic integration or the continued presence of exogenous reprogramming factors and removes one obstacle to the clinical application of human iPS cells.

Efficient generation of transgene-free induced pluripotent stem cells from normal and neoplastic bone marrow and cord blood mononuclear cells
Kejin Hu, Junying Yu, Kran Suknuntha et al.|Blood|2011
Cited by 255Open Access

Reprogramming blood cells to induced pluripotent stem cells (iPSCs) provides a novel tool for modeling blood diseases in vitro. However, the well-known limitations of current reprogramming technologies include low efficiency, slow kinetics, and transgene integration and residual expression. In the present study, we have demonstrated that iPSCs free of transgene and vector sequences could be generated from human BM and CB mononuclear cells using non-integrating episomal vectors. The reprogramming described here is up to 100 times more efficient, occurs 1-3 weeks faster compared with the reprogramming of fibroblasts, and does not require isolation of progenitors or multiple rounds of transfection. Blood-derived iPSC lines lacked rearrangements of IGH and TCR, indicating that their origin is non-B- or non-T-lymphoid cells. When cocultured on OP9, blood-derived iPSCs could be differentiated back to the blood cells, albeit with lower efficiency compared to fibroblast-derived iPSCs. We also generated transgene-free iPSCs from the BM of a patient with chronic myeloid leukemia (CML). CML iPSCs showed a unique complex chromosomal translocation identified in marrow sample while displaying typical embryonic stem cell phenotype and pluripotent differentiation potential. This approach provides an opportunity to explore banked normal and diseased CB and BM samples without the limitations associated with virus-based methods.

Become Competent within One Day in Generating Boxplots and Violin Plots for a Novice without Prior R Experience
Kejin Hu|Methods and Protocols|2020
Cited by 117Open Access

The boxplot is a powerful visualization tool of sampled continuous data sets because of its rich information delivered, compact size, and effective visual expression. The advantage of boxplots is not widely appreciated. Many top journals suggest that boxplots should be used in place of bar charts, but have been wrongly replaced by bar charts. One technical barrier to the usage of boxplots in reporting quantitative data is that bench scientists are not competent in generating boxplots, and are afraid of R, a programming tool. This tutorial provides an effective training material in that even a novice without prior R experience can become competent, within one day, in generating professional boxplots. The available R scripts for boxplots are very limited in scope and are aimed at specialists, and the bench scientists have difficulty in following these scripts. This tutorial provides extensive step-by-step R scripts and instructions, as well as 29 illustrations for customizing every detail of the boxplot structures. Basic R commands and concepts are introduced for users without prior R experiences, which can be skipped by audiences with R knowledge. Violin plots are the enhanced version of boxplots, and therefore, this tutorial also provides a brief introduction and usage of the R package vioplot with one additional illustration. While the protocol is prepared for the newbies and trainees it will be a handy tool for infrequent users, and may benefit the experienced users as well since it provides scripts for customizing every detail of boxplots.

All Roads Lead to Induced Pluripotent Stem Cells: The Technologies of iPSC Generation
Kejin Hu|Stem Cells and Development|2014
Cited by 104Open Access

Generation of induced pluripotent stem cells (iPSCs) via the ectopic expression of reprogramming factors is a simple, advanced, yet often perplexing technology due to low efficiency, slow kinetics, and the use of numerous distinct systems for factor delivery. Scientists have used almost all available approaches for the delivery of reprogramming factors. Even the well-established retroviral vectors confuse some scientists due to different tropisms in use. The canonical virus-based reprogramming poses many problems, including insertional mutagenesis, residual expression and re-activation of reprogramming factors, uncontrolled silencing of transgenes, apoptosis, cell senescence, and strong immunogenicity. To eliminate or alleviate these problems, scientists have tried various other approaches for factor delivery and transgene removal. These include transient transfection, nonintegrating viral vectors, Cre-loxP excision of transgenes, excisable transposon, protein transduction, RNA transfection, microRNA transfection, RNA virion, RNA replicon, nonintegrating replicating episomal plasmids, minicircles, polycistron, and preintegration of inducible reprogramming factors. These alternative approaches have their own limitations. Even iPSCs generated with RNA approaches should be screened for possible transgene insertions mediated by active endogenous retroviruses in the human genome. Even experienced researchers may encounter difficulty in selecting and using these different technologies. This survey presents overviews of iPSC technologies with the intention to provide a quick yet comprehensive reference for both new and experienced reprogrammers.