Biomedical subjects

Weizhong Li

Publications and source records attributed to Weizhong Li.

At least 19 recordsLinked to original sources

PubMed2006

Cutaneous immune responses in the common carp detected using transcript analysis.

In order to detect new immune-related genes in common carp (Cyprinus carpio L.) challenged by an ectoparasitic infection, two cDNA libraries were constructed from carp skin sampled at 3 and 72h after infection with Ichthyophthirius multifiliis. In a total of 3500 expressed sequence tags (ESTs) we identified 82 orthologues of genes of immune relevance previously described in other organisms. Of these, 61 have never been described before in C. carpio, thus shedding light on some key components of the defence mechanisms of this species. Among the newly described genes, full-length molecules of prostaglandin D2 synthase (PGDS), the CC chemokine molecule SCYA103, and a second gene for the carp beta(2)-microglobulin (beta(2)m), beta(2)m-2, were described. Transcript amounts of the genes PGDS, interferon (IFN), SCYA103, complement factor 7 (C7), complement factor P (FP), complement factor D (FD) and beta(2)m-2 were evaluated by real-time quantitative PCR (RQ-PCR). Samples from skin, blood and liver from fish challenged with I. multifiliis were taken at 3, 12, 24, 36 and 48h post infection. Higher expression levels of most of these transcripts were observed in skin from uninfected fish, compared to the transcript levels detected in blood and liver from the same animals. Also, there was significant down-regulation of the genes PGDS and beta(2)m-2 in skin, whilst significant up-regulation was observed for the C7 and SCYA103 genes in liver of fish infected with the parasite. These results confirm the active role of fish skin in the immune response against infections, acting as an important site of expression of immune-related molecules.

Amino Acid Sequence↗

PubMed2006

Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences.

MOTIVATION: In 2001 and 2002, we published two papers (Bioinformatics, 17, 282-283, Bioinformatics, 18, 77-82) describing an ultrafast protein sequence clustering program called cd-hit. This program can efficiently cluster a huge protein database with millions of sequences. However, the applications of the underlying algorithm are not limited to only protein sequences clustering, here we present several new programs using the same algorithm including cd-hit-2d, cd-hit-est and cd-hit-est-2d. Cd-hit-2d compares two protein datasets and reports similar matches between them; cd-hit-est clusters a DNA/RNA sequence database and cd-hit-est-2d compares two nucleotide datasets. All these programs can handle huge datasets with millions of sequences and can be hundreds of times faster than methods based on the popular sequence comparison and database search tools, such as BLAST.

Algorithms↗

PubMed2006

VISSA: a program to visualize structural features from structure sequence alignment.

MOTIVATION: Multiple sequence alignment is an important tool to understand and analyze functions of homologous proteins. However, the logic of residue conservation/variation is usually apparent only in three-dimensional (3D) space, not on a primary sequence level. Thus, in a traditional multiple alignment it is often difficult to directly visualize and analyze key residues because they are masked by other residues along the alignment. Here we present an integrated multiple alignment and 3D structure visualization program that can (1) map and highlight residues from a 1D alignment onto a 3D structure and vice versa and (2) display only the alignment of preselected, key residues. This program, called Visualize Structure Sequence Alignment, also has many other built-in tools that can help analyze multiple sequence alignments. AVAILABILITY: http://bioinformatics.burnham.org/liwz/vissa CONTACT: liwz@burnham.org.

Computational Biology↗

PubMed2005

Seasonally hibernating phenotype assessed through transcript screening.

Hibernation is a seasonally entrained and profound phenotypic transition to conserve energy in winter. It involves significant biochemical reprogramming, although our understanding of the underpinning molecular events is fragmentary and selective. We have conducted a large-scale gene expression screen of the golden-mantled ground squirrel, Spermophilus lateralis, to identify transcriptional responses associated specifically with the summer-winter transition and the torpid-arousal transition in winter. We used 112 cDNA microarrays comprising 12,288 probes that cover at least 5,109 genes. In liver, the profiles of torpid and active states in the winter were almost identical, although we identified 102 cDNAs that were differentially expressed between winter and summer, 90% of which were downregulated in the winter states. By contrast, in cardiac tissue, 59 and 115 cDNAs were elevated in interbout arousal and torpor, respectively, relative to the summer active condition, but only 7 were common to both winter states, and during arousal none was downregulated. In brain, 78 cDNAs were found to change in winter, 44 of which were upregulated. Thus transcriptional changes associated with hibernation are qualitatively modest and, since these changes are generally less than twofold, also quantitatively modest. Unbiased Gene Ontology profiling of the transcripts suggests a winter switch to beta-oxidation of lipids in liver and heart, a reduction in metabolism of toxic compounds and the urea cycle in liver, and downregulated electron transport in the brain. We identified just one strongly winter-induced transcript common to all tissues, namely an RNA-binding protein, RBM3. This analysis clearly differentiates responses of the principal tissues, identifies a large number of new genes undergoing regulation, and broadens our understanding of affected cellular processes that, in part, account for the winter-adaptive hibernating phenotype.

Animals↗

PubMed2005

FFAS03: a server for profile--profile sequence alignments.

The FFAS03 server provides a web interface to the third generation of the profile-profile alignment and fold-recognition algorithm of fold and function assignment system (FFAS) [L. Rychlewski, L. Jaroszewski, W. Li and A. Godzik (2000), Protein Sci., 9, 232-241]. Profile-profile algorithms use information present in sequences of homologous proteins to amplify the patterns defining the family. As a result, they enable detection of remote homologies beyond the reach of other methods. FFAS, initially developed in 2000, is consistently one of the best ranked fold prediction methods in the CAFASP and LiveBench competitions. It is also used by several fold-recognition consensus methods and meta-servers. The FFAS03 server accepts a user supplied protein sequence and automatically generates a profile, which is then compared with several sets of sequence profiles of proteins from PDB, COG, PFAM and SCOP. The profile databases used by the server are automatically updated with the latest structural and sequence information. The server provides access to the alignment analysis, multiple alignment, and comparative modeling tools. Access to the server is open for both academic and commercial researchers. The FFAS03 server is available at http://ffas.burnham.org.

Algorithms↗

PubMed2004

Coping with cold: An integrative, multitissue analysis of the transcriptome of a poikilothermic vertebrate.

How do organisms respond adaptively to environmental stress? Although some gene-specific responses have been explored, others remain to be identified, and there is a very poor understanding of the system-wide integration of response, particularly in complex, multitissue animals. Here, we adopt a transcript screening approach to explore the mechanisms underpinning a major, whole-body phenotypic transition in a vertebrate animal that naturally experiences extreme environmental stress. Carp were exposed to increasing levels of cold, and responses across seven tissues were assessed by using a microarray composed of 13,440 cDNA probes. A large set of unique cDNAs (approximately 3,400) were affected by cold. These cDNAs included an expression signature common to all tissues of 252 up-regulated genes involved in RNA processing, translation initiation, mitochondrial metabolism, proteasomal function, and modification of higher-order structures of lipid membranes and chromosomes. Also identified were large numbers of transcripts with highly tissue-specific patterns of regulation. By unbiased profiling of gene ontologies, we have identified the distinctive functional features of each tissue's response and integrate them into a comprehensive view of the whole-body transition from one strongly adaptive phenotype to another. This approach revealed an expression signature suggestive of atrophy in cooled skeletal muscle. This environmental genomics approach by using a well studied but nongenomic species has identified a range of candidate genes endowing thermotolerance and reveals a previously unrecognized scale and complexity of responses that impacts at the level of cellular and tissue function.

Adaptation, Physiological↗

PubMed2003

Homotypic secretory vesicle fusion induced by the protein tyrosine phosphatase MEG2 depends on polyphosphoinositides in T cells.

Sec14p homology domains are found in a large number of proteins from plants, yeast, invertebrates, and higher eukaryotes. We report that the N-terminal Sec14p homology domain of the human protein tyrosine phosphatase PTP-MEG2 binds phosphatidylinositol-3,4,5-trisphosphate (PtdIns(3,4,5)P(3)) in vitro and colocalizes with this lipid on secretory vesicle membranes in intact cells. Point mutations that prevented PtdIns(3,4,5)P(3) binding abrogated the capacity of PTP-MEG2 to induce homotypic secretory vesicle fusion in cells. Inhibition of cellular PtdIns(3,4,5)P(3) synthesis also rapidly reversed the effect of PTP-MEG2 on secretory vesicles. Finally, we show that several different phosphoinositide kinases colocalize with PTP-MEG2, thus allowing for local synthesis of PtdIns(3,4,5)P(3) in secretory vesicle membranes. We suggest that PTP-MEG2 through its Sec14p homology domain couples inositide phosphorylation to tyrosine dephosphorylation and the regulation of intracellular traffic of the secretory pathway in T cells.

1-Phosphatidylinositol 4-Kinase↗

PubMed2003

A segment alignment approach to protein comparison.

MOTIVATION: Local structure segments (LSSs) are small structural units shared by unrelated proteins. They are extensively used in protein structure comparison, and predicted LSSs (PLSSs) are used very successfully in ab initio folding simulations. However, predicted or real LSSs are rarely exploited by protein sequence comparison programs that are based on position-by-position alignments. RESULTS: We developed a SEgment Alignment algorithm (SEA) to compare proteins described as a collection of predicted local structure segments (PLSSs), which is equivalent to an unweighted graph (network). Any specific structure, real or predicted corresponds to a specific path in this network. SEA then uses a network matching approach to find two most similar paths in networks representing two proteins. SEA explores the uncertainty and diversity of predicted local structure information to search for a globally optimal solution. It simultaneously solves two related problems: the alignment of two proteins and the local structure prediction for each of them. On a benchmark of protein pairs with low sequence similarity, we show that application of the SEA algorithm improves alignment quality as compared to FFAS profile-profile alignment, and in some cases SEA alignments can match the structural alignments, a feat previously impossible for any sequence based alignment methods.

Algorithms↗

PubMed2003

A residue in the S2 subsite controls substrate selectivity of matrix metalloproteinase-2 and matrix metalloproteinase-9.

Matrix metalloproteinase (MMP)-2 and MMP-9 are closely related metalloproteinases that are implicated in angiogenesis. The two proteins have a similar domain structure and highly homologous catalytic domains, making them an excellent comparative model for understanding the structural basis of substrate recognition by the MMP family. Although the two MMPs exhibit some overlap in substrate recognition, our recent work showed that MMP-2 can cleave a set of peptide substrates that are only poorly recognized by MMP-9 (Chen, E. I., Kridel, S. J., Howard, E. W., Li, W., Godzik, A., and Smith, J. W. (2002) J. Biol. Chem. 277, 4485-4491). Mutations at the P(2) position of these peptide substrates dramatically reduced their selectivity for MMP-2. Inspection of the corresponding S(2) pocket of the substrate-binding cleft of the protease reveals that MMP-9 contains an Asp, whereas MMP-2 contains Glu. Here, we test the hypothesis that this conservative substitution has a role in substrate selectivity. Mutation of Glu(412) in MMP-2 to Asp significantly reduced the hydrolysis of selective substrates, with only a minor effect on hydrolysis of non-selective substrates. The predominant effect of the mutation is at the level of k(cat), or turnover rate, with reductions reaching as high as 37-fold. The residues that occupy this position in other MMPs are highly variable, providing a potential structural basis for substrate recognition across the MMP family.

Amino Acid Substitution↗

PubMed2002

A unique substrate binding mode discriminates membrane type-1 matrix metalloproteinase from other matrix metalloproteinases.

In our study, we characterized the substrate recognition properties of membrane type-1 matrix metalloproteinase (MT1-MMP; also known as MMP-14), a key enzyme in tumor cell invasion and metastasis. A panel of optimal peptide substrates for MT1-MMP was identified using substrate phage display. The substrates can be segregated into four groups based on their degree of selectivity for MT1-MMP. Substrates with poor selectivity for MT1-MMP are comprised predominately of the Pro-X-X- downward arrow-X(Hy) motif that is recognized by a number of MMPs. Highly selective substrates lack the characteristic Pro at the P(3) position; instead they contain an Arg at the P(4) position. This P(4) Arg is essential for efficient hydrolysis and for selectivity for MT1-MMP. Molecular modeling indicates that the selective substrates adopt a linear conformation that extends along the entire catalytic pocket of MT1-MMP, whereas non-selective substrates are kinked at the conserved P(3) Pro residue. Importantly, the selective substrates can be made non-selective by insertion of a proline kink at P(3), without significantly reducing overall k(cat)/K(m) values. Altogether the study provides a structural basis for selective and non-selective substrate recognition by MT1-MMP. The findings in this report are likely to explain several aspects of MT1-MMP biology.

Catalytic Domain↗

PubMed2002

Cysteine regulation of protein function--as exemplified by NMDA-receptor modulation.

Until recently cysteine residues, especially those located extracellularly, were thought to be important for metal coordination, catalysis and protein structure by forming disulfide bonds - but they were not thought to regulate protein function. However, this is not the case. Crucial cysteine residues can be involved in modulation of protein activity and signaling events via other reactions of their thiol (sulfhydryl; -SH) groups. These reactions can take several forms, such as redox events (chemical reduction or oxidation), chelation of transition metals (chiefly Zn(2+), Mn(2+) and Cu(2+)) or S-nitrosylation [the catalyzed transfer of a nitric oxide (NO) group to a thiol group]. In several cases, these disparate reactions can compete with one another for the same thiol group on a single cysteine residue, forming a molecular switch composed of a latticework of possible redox, NO or Zn(2+) modifications to control protein function. Thiol-mediated regulation of protein function can also involve reactions of cysteine residues that affect ligand binding allosterically. This article reviews the basis for these molecular cysteine switches, drawing on the NMDA receptor as an exemplary protein, and proposes a molecular model for the action of S-nitrosylation based on recently derived crystal structures.

Animals↗

PubMed2002

Discovering new genes with advanced homology detection.

Most genome annotation protocols combine ab initio predictions with transcription and homology analyses to produce reliable gene predictions but they often fail to detect many actual genes. Alternative approaches involving more sensitive homology recognition methods are playing an increasingly important role in the next stage of gene discovery. The hunt for new genes is far from over.

Database Management Systems↗

PubMed2002

Cloning and characterization of glucose transporter 11, a novel sugar transporter that is alternatively spliced in various tissues.

We have cloned and characterized a novel glucose transporter (GLUT11) that is alternatively spliced. The GLUT11 gene maps to chromosome 22q11.2 and consists of 13 exons. The long form (GLUT11-L) cDNA uses 13 exons to produce a protein containing 503 amino acids. The short form of GLUT11 (GLUT-11) cDNA is missing exon 2 and produces a protein of 496 amino acids with a 14 amino acid N-terminal difference compared to the long form. GLUT11 has significant similarity to known GLUTs and contains 12 putative membrane-spanning helices along with sugar transporter signature motifs that have previously been shown to be essential for transport activity. The putative glycosylation site of GLUT11 is present in loop 1. Northern blot analysis showed that GLUT11 mRNA is expressed in a number of tissues and most abundantly in the skeletal muscle and heart. RT-PCR assay showed that GLUT11 is alternatively spliced and the two isoforms are distributed differently in various tissues. Immunofluorescence microscopy demonstrated that GLUT11-L resides on the plasma membrane when overexpressed in HEK293T cells. Western blot analysis revealed that GLUT11-L runs as a broad band of approximately 42 kDa that was converted to a 38 kDa polypeptide by PNGase F digestion. Furthermore, a liposome reconstitution functional assay showed that GLUT11-L has glucose transport activity.

Alternative Splicing↗

PubMed2002

Tolerating some redundancy significantly speeds up clustering of large protein databases.

MOTIVATION: Sequence clustering replaces groups of similar sequences in a database with single representatives. Clustering large protein databases like the NCBI Non-Redundant database (NR) using even the best currently available clustering algorithms is very time-consuming and only practical at relatively high sequence identity thresholds. Our previous program, CD-HI, clustered NR at 90% identity in approximately 1 h and at 75% identity in approximately 1 day on a 1 GHz Linux PC (Li et al., Bioinformatics, 17, 282, 2001); however even faster clustering speed is needed because the size of protein databases are rapidly growing and many applications desire a lower attainable thresholds. RESULTS: For our previous algorithm (CD-HI), we have employed short-word filters to speed up the clustering. In this paper, we show that tolerating some redundancy makes for more efficient use of these short-word filters and increases the program's speed 100 times. Our new program implements this technique and clusters NR at 70% identity within 2 h, and at 50% identity in approximately 5 days. Although some redundancy is present after clustering, our new program's results only differ from our previous program's by less than 0.4%.

Algorithms↗

PubMed2002

Sequence clustering strategies improve remote homology recognitions while reducing search times.

Sequence databases are rapidly growing, thereby increasing the coverage of protein sequence space, but this coverage is uneven because most sequencing efforts have concentrated on a small number of organisms. The resulting granularity of sequence space creates many problems for profile-based sequence comparison programs. In this paper, we suggest several strategies that address these problems, and at the same time speed up the searches for homologous proteins and improve the ability of profile methods to recognize distant homologies. One of our strategies combines database clustering, which removes highly redundant sequence, and a two-step PSI-BLAST (PDB-BLAST), which separates sequence spaces of profile composition and space of homology searching. The combination of these strategies improves distant homology recognitions by more than 100%, while using only 10% of the CPU time of the standard PSI-BLAST search. Another method, intermediate profile searches, allows for the exploration of additional search directions that are normally dominated by large protein sub-families within very diverse families. All methods are evaluated with a large fold-recognition benchmark.

Amino Acid Motifs↗

PubMed2002

In search for more accurate alignments in the twilight zone.

A major bottleneck in comparative modeling is the alignment quality; this is especially true for proteins whose distant relationships could be reliably recognized only by recent advances in fold recognition. The best algorithms excel in recognizing distant homologs but often produce incorrect alignments for over 50% of protein pairs in large fold-prediction benchmarks. The alignments obtained by sequence-sequence or sequence-structure matching algorithms differ significantly from the structural alignments. To study this problem, we developed a simplified method to explicitly enumerate all possible alignments for a pair of proteins. This allowed us to estimate the number of significantly different alignments for a given scoring method that score better than the structural alignment. Using several examples of distantly related proteins, we show that for standard sequence-sequence alignment methods, the number of significantly different alignments is usually large, often about 10(10) alternatives. This distance decreases when the alignment method is improved, but the number is still too large for the brute force enumeration approach. More effective strategies were needed, so we evaluated and compared two well-known approaches for searching the space of suboptimal alignments. We combined their best features and produced a hybrid method, which yielded alignments that surpassed the original alignments for about 50% of protein pairs with minimal computational effort.

Algorithms↗

PubMed2002

[Immunohistochemical detection of micrometastases in cervical lymph nodes from squamous cell carcinoma of tongue in neck dissection specimens].

OBJECTIVE: The purpose of this study was to explore a feasible method to detect the micrometastases. METHODS: Totally 152 cases of negative cervical lymph nodes (CLNs) from 30 patients with squamous cell carcinoma in tongue were included in this study. The HE-stained slices of the CLN were reexamined by two experienced pathologists and, conformed that no carcinoma cells were found. Two slices were made from each paraffin specimen and, the slices were stained with the microwave immunohistochemical technique with monoclonal antibody CK (AE1/AE3) (DAKO Co. Denmark, 1:100). RESULTS: Among these 152 cases 7 (4.6%) positive lymph nodes were found in 4(13.3%) patients, and CLN metastases were found in all the patients before the surgical treatment. Most of the micro-metastatic nodes appeared in the upper deep cervical area, except that one of them was found in the submandibular triangle. CONCLUSION: The results suggest that micrometastases frequently occurred in negative lymph nodes. The present method may be useful in detecting the micrometastases of lymph nodes and in evaluating clinical stages of patients with oral cancers.

Carcinoma, Squamous Cell↗

PubMed2001

A unique substrate recognition profile for matrix metalloproteinase-2.

The catalytic domains of the matrix metalloproteinases (MMPs) are structurally homologous, raising questions as to the degree of distinction, or overlap, in substrate recognition. The primary objective of the present study was to define the substrate recognition profile of MMP-2, a protease that was historically referred to as gelatinase A. By cleaving a phage peptide library with recombinant MMP-2, four distinct sets of substrates were identified. The first set is structurally related to substrates previously reported for other MMPs. These substrates contain the PXX/X(Hy) consensus motif (where X(Hy) is a hydrophobic residue) and are not generally selective for MMP-2 over the other MMPs tested. Two other groups of substrates were selected from the phage library with similar frequency. Substrates in group II contain the L/IXX/X(Hy) consensus motif. Substrates in group III contain a consensus motif with a sequence of X(Hy)SX/L, and the fourth set of substrates contain the HXX/X(Hy) sequence. Substrates in Group II, III, and IV were found to be 8- to almost 200-fold more selective for MMP-2 over MMP-9. To gain an understanding of the structural basis for substrate selectivity, individual residues within substrates were mutated, revealing that the P(2) residue is a key element in conferring selectivity. These findings indicate that MMP-2 and MMP-9 exhibit different substrate recognition profiles and point to the P(2) subsite as a primary determinant in substrate distinction.

Amino Acid Sequence↗