Feng He

Bio: Feng He is an academic researcher from University of Massachusetts Medical School. The author has contributed to research in topics: Nonsense-mediated decay & Messenger RNA. The author has an hindex of 26, co-authored 42 publications receiving 8139 citations. Previous affiliations of Feng He include Hunan University of Science and Technology.

PTC124 targets genetic disorders caused by nonsense mutations

Abstract: Nonsense mutations promote premature translational termination and cause anywhere from 5-70% of the individual cases of most inherited diseases. Studies on nonsense-mediated cystic fibrosis have indicated that boosting specific protein synthesis from <1% to as little as 5% of normal levels may greatly reduce the severity or eliminate the principal manifestations of disease. To address the need for a drug capable of suppressing premature termination, we identified PTC124-a new chemical entity that selectively induces ribosomal readthrough of premature but not normal termination codons. PTC124 activity, optimized using nonsense-containing reporters, promoted dystrophin production in primary muscle cells from humans and mdx mice expressing dystrophin nonsense alleles, and rescued striated muscle function in mdx mice within 2-8 weeks of drug exposure. PTC124 was well tolerated in animals at plasma exposures substantially in excess of those required for nonsense suppression. The selectivity of PTC124 for premature termination codons, its well characterized activity profile, oral bioavailability and pharmacological properties indicate that this drug may have broad clinical potential for the treatment of a large group of genetic disorders with limited or no therapeutic options.

Identification of a novel component of the nonsense-mediated mRNA decay pathway by use of an interacting protein screen.

Abstract: Rapid turnover of nonsense-containing mRNAs in yeast in dependent on the product of the UPF1 gene (Upf1p). Mutations in UPF1 lead to the selective stabilization of mRNAs containing early nonsense mutations without affecting the decay rates of most other mRNAs. To identify other integral components of this decay pathway, we have employed a two-hybrid screen, seeking those cellular factors that specifically interact with Upf1p. Screening of yeast genomic libraries identified six genes encoding potential Upf1p-interacting proteins. These include four previously uncharacterized genes, NMD1-4 (nonsense-mediated mRNA decay), DBP2, a gene encoding a putative RNA helicase with homology to mammalian p68 RNA helicase, and SNP1, a gene encoding a U1 snRNP 70-kD protein homolog. In this paper we report the identification and characterization of NMD2, a yeast gene that encodes a specific Upf1p-interacting protein. Disruption of NMD2 yields a nonsense-mediated mRNA decay phenotype identical to that obtained in UPF1-deletion strains, indicating that the NMD2 gene product (Nmd2p) is a new factor in the nonsense-mediated mRNA decay pathway. Deletion analysis demonstrated that the acidic carboxyl terminus of Nmd2p constituted the Upf1p-interacting domain. High-level expression of a fragment of Nmd2p containing this domain had a dominant-negative effect on nonsense-mediated mRNA decay when the protein was localized the cytoplasm but not when it was localized to the nucleus, indicating that this decay pathway has a cytoplasmic component. The association of a dominant-negative phenotype with a gene fragment identified in a two-hybrid screen suggests a generalized approach to confirming the function of genes identified in such screens.

Stabilization and ribosome association of unspliced pre-mRNAs in a yeast upf1- mutant.

Abstract: Nonsense-mediated mRNA decay, the accelerated turnover of mRNAs transcribed from genes containing early nonsense mutations, is dependent on the product of the UPF1 gene in yeast. Mutations that inactivate UPF1 lead to the selective stabilization of mRNAs containing early nonsense mutations but have no effect on the half-lives of almost all other mRNAs. Since the transcripts of nonsense alleles are not typical cellular constituents, we sought to identify those RNAs that comprise normal substrates of the nonsense-mediated mRNA decay pathway. Many yeast pre-mRNAs contain early in-frame nonsense codons and we consider it possible that a role of this pathway is to accelerate the degradation of pre-mRNAs present in the cytoplasm. Consistent with this hypothesis, we find that, in a strain lacking UPF1 function, the CYH2, RP51B, and MER2 pre-mRNAs are stabilized 2- to 5-fold and are associated with ribosomes. We conclude that a major source of early nonsense codon-containing cytoplasmic transcripts in yeast is pre-mRNAs and that the UPF1 protein may be part of a cellular system that ensures that potentially deleterious nonsense fragments of polypeptides do not accumulate.

Insights into the regulation of protein abundance from proteomic and transcriptomic analyses

Abstract: Recent advances in next-generation DNA sequencing and proteomics provide an unprecedented ability to survey mRNA and protein abundances. Such proteome-wide surveys are illuminating the extent to which different aspects of gene expression help to regulate cellular protein abundances. Current data demonstrate a substantial role for regulatory processes occurring after mRNA is made - that is, post-transcriptional, translational and protein degradation regulation - in controlling steady-state protein abundances. Intriguing observations are also emerging in relation to cells following perturbation, single-cell studies and the apparent evolutionary conservation of protein and mRNA abundances. Here, we summarize current understanding of the major factors regulating protein expression.

The MaxQuant computational platform for mass spectrometry-based shotgun proteomics.

Abstract: MaxQuant is one of the most frequently used platforms for mass-spectrometry (MS)-based proteomics data analysis Since its first release in 2008, it has grown substantially in functionality and can be used in conjunction with more MS platforms Here we present an updated protocol covering the most important basic computational workflows, including those designed for quantitative label-free proteomics, MS1-level labeling and isobaric labeling techniques This protocol presents a complete description of the parameters used in MaxQuant, as well as of the configuration options of its integrated search engine, Andromeda This protocol update describes an adaptation of an existing protocol that substantially modifies the technique Important concepts of shotgun proteomics and their implementation in MaxQuant are briefly reviewed, including different quantification strategies and the control of false-discovery rates (FDRs), as well as the analysis of post-translational modifications (PTMs) The MaxQuant output tables, which contain information about quantification of proteins and PTMs, are explained in detail Furthermore, we provide a short version of the workflow that is applicable to data sets with simple and standard experimental designs The MaxQuant algorithms are efficiently parallelized on multiple processors and scale well from desktop computers to servers with many cores The software is written in C# and is freely available at http://wwwmaxquantorg

Integrative Genomics Viewer

Abstract: Rapid improvements in sequencing and array-based platforms are resulting in a flood of diverse genome-wide data, including data from exome and whole-genome sequencing, epigenetic surveys, expression profiling of coding and noncoding RNAs, single nucleotide polymorphism (SNP) and copy number profiling, and functional assays. Analysis of these large, diverse data sets holds the promise of a more comprehensive understanding of the genome and its relation to human disease. Experienced and knowledgeable human review is an essential component of this process, complementing computational approaches. This calls for efficient and intuitive visualization tools able to scale to very large data sets and to flexibly integrate multiple data types, including clinical data. However, the sheer volume and scope of data pose a significant challenge to the development of such tools.