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Dive into the research topics where Zhihua Li is active.

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Featured researches published by Zhihua Li.


Nucleic Acids Research | 2010

A sensitive non-radioactive northern blot method to detect small RNAs

Sang Woo Kim; Zhihua Li; Patrick S. Moore; A. Paula Monaghan; Yuan Chang; Mark Nichols; Bino John

The continuing discoveries of potentially active small RNAs at an unprecedented rate using high-throughput sequencing have raised the need for methods that can reliably detect and quantitate the expression levels of small RNAs. Currently, northern blot is the most widely used method for validating small RNAs that are identified by methods such as high-throughput sequencing. We describe a new northern blot-based protocol (LED) for small RNA (∼15–40 bases) detection using digoxigenin (DIG)-labeled oligonucleotide probes containing locked nucleic acids (LNA) and 1-ethyl-3-(3-dimethylaminopropyl) carbodiimide for cross-linking the RNA to the membrane. LED generates clearly visible signals for RNA amounts as low as 0.05 fmol. This method requires as little as a few seconds of membrane exposure to outperform the signal intensity using overnight exposure of isotope-based methods, corresponding to ∼1000-fold improvement in exposure-time. In contrast to commonly used radioisotope-based methods, which require freshly prepared and hazardous probes, LED probes can be stored for at least 6 months, facilitate faster and more cost-effective experiments, and are more environmentally friendly. A detailed protocol of LED is provided in the Supplementary Data.


Nucleic Acids Research | 2012

Extensive terminal and asymmetric processing of small RNAs from rRNAs, snoRNAs, snRNAs, and tRNAs

Zhihua Li; Christine Ender; Gunter Meister; Patrick S. Moore; Yuan Chang; Bino John

Deep sequencing studies frequently identify small RNA fragments of abundant RNAs. These fragments are thought to represent degradation products of their precursors. Using sequencing, computational analysis, and sensitive northern blot assays, we show that constitutively expressed non-coding RNAs such as tRNAs, snoRNAs, rRNAs and snRNAs preferentially produce small 5′ and 3′ end fragments. Similar to that of microRNA processing, these terminal fragments are generated in an asymmetric manner that predominantly favors either the 5′ or 3′ end. Terminal-specific and asymmetric processing of these small RNAs occurs in both mouse and human cells. In addition to the known processing of some 3′ terminal tRNA-derived fragments (tRFs) by the RNase III endonuclease Dicer, we show that several RNase family members can produce tRFs, including Angiogenin that cleaves the TψC loop to generate 3′ tRFs. The 3′ terminal tRFs but not the 5′ tRFs are highly complementary to human endogenous retroviral sequences in the genome. Despite their independence from Dicer processing, these tRFs associate with Ago2 and are capable of down regulating target genes by transcript cleavage in vitro. We suggest that endogenous 3′ tRFs have a role in regulating the unwarranted expression of endogenous viruses through the RNA interference pathway.


Nucleic Acids Research | 2012

An in-depth map of polyadenylation sites in cancer

Yuefeng Lin; Zhihua Li; Fatih Ozsolak; Sang Woo Kim; Gustavo Arango-Argoty; Teresa T Liu; Scott A. Tenenbaum; Timothy S. Bailey; A. Paula Monaghan; Patrice M. Milos; Bino John

We present a comprehensive map of over 1 million polyadenylation sites and quantify their usage in major cancers and tumor cell lines using direct RNA sequencing. We built the Expression and Polyadenylation Database to enable the visualization of the polyadenylation maps in various cancers and to facilitate the discovery of novel genes and gene isoforms that are potentially important to tumorigenesis. Analyses of polyadenylation sites indicate that a large fraction (∼30%) of mRNAs contain alternative polyadenylation sites in their 3′ untranslated regions, independent of the cell type. The shortest 3′ untranslated region isoforms are preferentially upregulated in cancer tissues, genome-wide. Candidate targets of alternative polyadenylation-mediated upregulation of short isoforms include POLR2K, and signaling cascades of cell–cell and cell–extracellular matrix contact, particularly involving regulators of Rho GTPases. Polyadenylation maps also helped to improve 3′ untranslated region annotations and identify candidate regulatory marks such as sequence motifs, H3K36Me3 and Pabpc1 that are isoform dependent and occur in a position-specific manner. In summary, these results highlight the need to go beyond monitoring only the cumulative transcript levels for a gene, to separately analysing the expression of its RNA isoforms.


BMC Genomics | 2011

Coupled transcriptome and proteome analysis of human lymphotropic tumor viruses: insights on the detection and discovery of viral genes

Lindsay R. Dresang; Jeremy R Teuton; Huichen Feng; Jon M. Jacobs; David G. Camp; Samuel O. Purvine; Marina A. Gritsenko; Zhihua Li; Richard D. Smith; Bill Sugden; Patrick S. Moore; Yuan Chang

BackgroundKaposis sarcoma-associated herpesvirus (KSHV) and Epstein-Barr virus (EBV) are related human tumor viruses that cause primary effusion lymphomas (PEL) and Burkitts lymphomas (BL), respectively. Viral genes expressed in naturally-infected cancer cells contribute to disease pathogenesis; knowing which viral genes are expressed is critical in understanding how these viruses cause cancer. To evaluate the expression of viral genes, we used high-resolution separation and mass spectrometry coupled with custom tiling arrays to align the viral proteomes and transcriptomes of three PEL and two BL cell lines under latent and lytic culture conditions.ResultsThe majority of viral genes were efficiently detected at the transcript and/or protein level on manipulating the viral life cycle. Overall the correlation of expressed viral proteins and transcripts was highly complementary in both validating and providing orthogonal data with latent/lytic viral gene expression. Our approach also identified novel viral genes in both KSHV and EBV, and extends viral genome annotation. Several previously uncharacterized genes were validated at both transcript and protein levels.ConclusionsThis systems biology approach coupling proteome and transcriptome measurements provides a comprehensive view of viral gene expression that could not have been attained using each methodology independently. Detection of viral proteins in combination with viral transcripts is a potentially powerful method for establishing virus-disease relationships.


Journal of Virology | 2009

Characterization of Viral and Human RNAs Smaller than Canonical MicroRNAs

Zhihua Li; Sang Woo Kim; Yuefeng Lin; Patrick S. Moore; Yuan Chang; Bino John

ABSTRACT Recently identified small (20 to 40 bases) RNAs, such as microRNAs (miRNAs) and endogenous small interfering RNAs (siRNAs) participate in important cellular pathways. In this report, we systematically characterized several novel features of human and viral RNA products smaller than miRNAs. We found that Kaposi sarcoma-associated herpesvirus K12-1 miRNA (23 bases) associates with a distinct, unusually small (17-base) RNA (usRNA) that can effectively downregulate a K12-1 miRNA target, human RAD21, suggesting that stable degradation-like products may also contribute to gene regulation. High-throughput sequencing reveals a diverse set of human miRNA-derived usRNAs and other non-miRNA-derived usRNAs. Human miRNA-derived usRNAs preferentially match to 5′ ends of miRNAs and are also more likely to associate with the siRNA effector protein Ago2 than with Ago1. Many non-miRNA-derived usRNAs associate with Ago proteins and also frequently contain C-rich 3′-specific motifs that are overrepresented in comparison to Piwi-interacting RNAs and transcription start site-associated RNAs. We postulate that approximately 30% of usRNAs could have evolved to participate in biological processes, including gene silencing.


RNA | 2015

Noncoding RNAs that associate with YB-1 alter proliferation in prostate cancer cells

Teresa T. Liu; Gustavo Arango-Argoty; Zhihua Li; Yuefeng Lin; Sang Woo Kim; Anne Dueck; Fatih Ozsolak; A. Paula Monaghan; Gunter Meister; Donald B. DeFranco; Bino John

The highly conserved, multifunctional YB-1 is a powerful breast cancer prognostic indicator. We report on a pervasive role for YB-1 in which it associates with thousands of nonpolyadenylated short RNAs (shyRNAs) that are further processed into small RNAs (smyRNAs). Many of these RNAs have previously been identified as functional noncoding RNAs (http://www.johnlab.org/YB1). We identified a novel, abundant, 3-modified short RNA antisense to Dicer1 (Shad1) that colocalizes with YB-1 to P-bodies and stress granules. The expression of Shad1 was shown to correlate with that of YB-1 and whose inhibition leads to an increase in cell proliferation. Additionally, Shad1 influences the expression of additional prognostic markers of cancer progression such as DLX2 and IGFBP2. We propose that the examination of these noncoding RNAs could lead to better understanding of prostate cancer progression.


PLOS ONE | 2015

Genome-Wide Transcript Profiling Reveals Novel Breast Cancer-Associated Intronic Sense RNAs

Sang Woo Kim; Elane Fishilevich; Gustavo Arango-Argoty; Yuefeng Lin; Guodong Liu; Zhihua Li; A. Paula Monaghan; Mark Nichols; Bino John

Non-coding RNAs (ncRNAs) play major roles in development and cancer progression. To identify novel ncRNAs that may identify key pathways in breast cancer development, we performed high-throughput transcript profiling of tumor and normal matched-pair tissue samples. Initial transcriptome profiling using high-density genome-wide tiling arrays revealed changes in over 200 novel candidate genomic regions that map to intronic regions. Sixteen genomic loci were identified that map to the long introns of five key protein-coding genes, CRIM1, EPAS1, ZEB2, RBMS1, and RFX2. Consistent with the known role of the tumor suppressor ZEB2 in the cancer-associated epithelial to mesenchymal transition (EMT), in situ hybridization reveals that the intronic regions deriving from ZEB2 as well as those from RFX2 and EPAS1 are down-regulated in cells of epithelial morphology, suggesting that these regions may be important for maintaining normal epithelial cell morphology. Paired-end deep sequencing analysis reveals a large number of distinct genomic clusters with no coding potential within the introns of these genes. These novel transcripts are only transcribed from the coding strand. A comprehensive search for breast cancer associated genes reveals enrichment for transcribed intronic regions from these loci, pointing to an underappreciated role of introns or mechanisms relating to their biology in EMT and breast cancer.


Methods of Molecular Biology | 2014

Enhanced detection of small RNAs using a nonradioactive approach.

Teresa T. Liu; Zhihua Li; Bino John

Recent advancements in high-throughput sequencing have led to the identification of many new classes of small noncoding RNAs such as endo-siRNAs. Unfortunately, reliable quantification of RNAs by sequencing is difficult due to artifacts arising from various factors involved in cDNA library preparation. Northern blot is one of the leading methods used to confirm the presence of a given RNA sequence because it can accurately quantify the cellular abundance, the size of the small RNA and reveal the presence of potential precursors and RNA isoforms. Here, we present a comprehensive description of LNA probe design along with a recently developed highly sensitive and cost-effective nonradioactive northern blot approach termed LED. LED combines a cross-linking method (EDC) and digoxigenin (DIG) labeling, and it can detect small RNAs with concentrations as low as 0.05 fmol and requires as little as a few seconds of membrane exposure for signal generation.


PLOS Computational Biology | 2005

Regulatory Circuit of Human MicroRNA Biogenesis

Ji Lee; Zhihua Li; Rachel Brower-Sinning; Bino John


arXiv: Cryptography and Security | 2012

Automated family-based naming of small RNAs for next generation sequencing data using a modified MD5-digest algorithm

Guodong Liu; Zhihua Li; Yuefeng Lin; Bino John

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Bino John

University of Pittsburgh

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Sang Woo Kim

University of Pittsburgh

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Yuefeng Lin

State University of New York System

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Yuan Chang

University of Pittsburgh

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Guodong Liu

Pennsylvania State University

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Mark Nichols

University of Pittsburgh

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Teresa T. Liu

University of Pittsburgh

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