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Ming D Li

Publications and source records attributed to Ming D Li.

At least 19 recordsLinked to original sources
PubMed2006

Association of specific haplotypes of neurotrophic tyrosine kinase receptor 2 gene (NTRK2) with vulnerability to nicotine dependence in African-Americans and European-Americans.

BACKGROUND: The gene encoding neurotrophic tyrosine kinase receptor 2 (NTRK2) has been localized to a region on chromosome 9q22-q23 that showed a "suggestive" linkage to nicotine dependence (ND) in our previous linkage analyses. However, no association of NTRK2 with ND has been identified. METHODS: Family-based association analyses of 2037 participants (1366 African Americans [AA], 671 European Americans [EA]) representing 602 nuclear families were performed to evaluate association of nine single nucleotide polymorphisms (SNPs) within NTRK2 with ND. RESULTS: Individual SNP-based association analysis indicated that in the EA sample, SNPs rs1659400 and rs1187272 were significantly associated with at least one adjusted ND measure. Haplotype analysis revealed that even after Bonferroni correction, the haplotype T-T-A of rs1659400-rs1187272-rs1122530 had a highly significant positive association, with adjusted ND measures in the EA sample (max Z = 3.78; p = .0001, frequency 59.9%). We further identified a major haplotype, T-G-C-A-A (26%), formed by rs993315-rs736744-rs920776-rs4075274-rs729560, which showed a significant positive association (max Z = 2.97, p = .003) with adjusted ND measures in the AA sample. CONCLUSIONS: These results strongly suggest that NTRK2 is a susceptibility gene for ND. These findings imply that NTRK2 plays a role in the etiology of ND and represents an important biological candidate for further investigation.

Adult↗
PubMed2006

Nicotine modulates expression of amyloid precursor protein and amyloid precursor-like protein 2 in mouse brain and in SH-SY5Y neuroblastoma cells.

Epidemiological studies indicate that tobacco smoking can be protective against neurodegenerative diseases such as Alzheimer's disease (AD) and Parkinson's disease (PD). The objective of the present study was to examine the changes in gene expression induced by chronic oral nicotine administration (100 mug/ml in 2% saccharin for 14 days), with special emphasis on amyloid precursor protein (APP) and its homologue, amyloid precursor-like protein 2 (APLP2), in different brain regions of C57BL/6 mice using a pathway-focused microarray. Our results revealed that nicotine stimulated mRNA expression of APP in the amygdala (64%; P = 0.003) and hippocampus (32%; P = 0.034) and of APLP2 in the amygdala (39%; P = 0.002). These results were verified by quantitative real-time RT-PCR except that expression of APLP2 was also significantly upregulated by nicotine in the hippocampus. In addition, in vitro nicotine treatment of SH-SY5Y neuroblastoma cells resulted in a significant increase in expression of APP protein, soluble APP, and APLP2, whereas co-treatment with mecamylamine (an antagonist of nicotinic acetylcholine receptors) attenuated the stimulating effect of nicotine on APP and APLP2 expression. These findings suggest that nicotine treatment facilitates the increase in the expression of mRNA and protein of the APP and APLP2 genes in rat brain and SH-SY5Y neuroblastoma cells.

Amyloid beta-Protein Precursor↗
PubMed2006

Proteins differentially expressed in response to nicotine in five rat brain regions: identification using a 2-DE/MS-based proteomics approach.

To determine protein expression patterns within the central nervous system (CNS) in response to nicotine, 2-DE/MS was performed on samples from five brain regions of rats that had received nicotine bitartrate by osmotic minipump infusion at a dose of 3.15 mg/kg/day for 7 days. After spot matching and statistical analysis, 41 spots in the amygdala, 49 in the nucleus accumbens (NA), 46 in the prefrontal cortex (PFC), 36 in the striatum, and 28 in the ventral tegmental area (VTA) showed significant differences in the nicotine-treated compared with control samples. Using MALDI-TOF MS peptide fingerprinting, 14 proteins in the amygdala, 11 in the NA, 19 in the PFC, 13 in the striatum, and 19 in the VTA were identified. Several proteins (e.g. dynamin 1, laminin receptors, aldolase A, enolase 1 alpha, Hsc70-ps1, and N-ethylmaleimide-sensitive fusion protein) were differentially expressed in multiple brain regions. By gene ontology analysis, these differentially expressed proteins were grouped into biological process categories, such as energy metabolism, synaptic function, and oxidative stress metabolism. These data, in combination with microarray analysis of mRNA transcripts, have the potential to identify the CNS gene products that show coordinated changes in expression at both the RNA and protein levels in response to nicotine.

Animals↗
PubMed2006

The genetics of nicotine dependence.

Despite almost two decades of intensive tobacco-control efforts, approximately 23% of American adults continue to smoke, and 13% are nicotine-dependent. Cigarette smoking is the greatest preventable cause of cancer, accounting for at least 30% of all cancer deaths and 87% of lung cancer deaths. Smoking behavior is influenced by both genetic and environmental factors. Many years of twin and adoption studies have demonstrated that the heritability of liability for nicotine dependence (ND) is at least 50%. During the past several years, significant efforts have been made to identify susceptibility genes for ND using both genome-wide linkage and association analysis approaches. It is expected that identification of susceptibility genes for ND will allow the development and tailoring of both prevention strategies for individuals at risk and effective treatment programs and medicines for individuals who use tobacco products. This review summarizes the recent progress in genetic studies of ND. As genotyping technology is being improved and well-characterized clinical samples on smoking behavior become available, more and more genes and genetic variants responsible for ND will be identified in the near future.

Brain-Derived Neurotrophic Factor↗
PubMed2006

Significant association of catechol-O-methyltransferase (COMT) haplotypes with nicotine dependence in male and female smokers of two ethnic populations.

The catechol-O-methyltransferase (COMT) gene plays a prominent role in dopaminergic circuits central to drug reward. Allelic variants within the COMT gene are therefore potential candidates for examining interindividual differences in vulnerability to nicotine dependence (ND). We analyzed five single nucleotide polymorphisms (SNPs), including the Val/Met variant (rs4680), which results in a three- to four-fold difference in enzyme activity within COMT, for association with the three ND measures, SQ, HSI, and FTND, in 602 nuclear families of African-American (AA) or European-American (EA) origin. The Val/Met variant showed a significant association with the three ND measures in the pooled and EA samples and with FTND in the AA sample. Haplotype analysis revealed a major protective A-G-T haplotype (frequency 23.6%) for rs740603-rs4680-rs174699 in the AA sample (minimum Z=-3.35; P=0.0005 for FTND), a major protective T-G-T haplotype (frequency 15.2%; minimum Z=-2.92; P=0.003 for FTND) in the EA sample, and a high-risk C-A-T haplotype (frequency 16.9%; minimum Z=3.16; P=0.002 for SQ) in the AA sample for rs933271-rs4680-rs174699. Furthermore, we found that the significant haplotypes within COMT were gender-specific and the significantly associated A-G-T is protective in AA females only, whereas T-G-T is protective in EA males only. Moreover, we found a major high-risk T-A-T haplotype (frequency 56.7%) that showed significant association with the three ND measures in EA males. Further examination of two protective haplotypes, A-G-T in AAs and T-G-T in EAs, indicated that the low COMT enzyme activity Met allele is protective to become nicotine dependent. In summary, our results provide evidence for a role of COMT in the susceptibility to ND and further confirm that its effect is ethnic and gender specific.

Adult↗
PubMed2005

Significant association of BDNF haplotypes in European-American male smokers but not in European-American female or African-American smokers.

Brain-derived neurotrophic factor (BDNF) influences dopamine and serotonin neurotransmission in the brain, both of which are involved in the reward system of addiction. The BDNF gene is located in a genomic region on chromosome 11p where we and others have found 'significant' linkage to nicotine dependence (ND). We tested the potential role of variants within BDNF in vulnerability to ND, which was assessed by Smoking Quantity (SQ), the Heaviness of Smoking Index (HSI), and the Fagerström Test for ND (FTND). Six single nucleotide polymorphisms (SNPs) in BDNF were analyzed in an extensively phenotyped cohort of 602 nuclear families with smokers and non-smokers of African-American (AA) or European-American (EA) ancestry. Individual SNP analysis revealed that two SNPs in the pooled male and three SNPs in the EA male samples were significantly associated with at least one adjusted ND measure. However, none of these associations remained significant after correction for multiple testing. Haplotype analysis of rs6484320-rs988748-rs2030324-rs7934165 revealed that a major T-C-T-G haplotype was significantly associated, even after Bonferroni correction, with the three ND measures in the pooled and EA male samples (maximum Z = 3.00, P = 0.002 and maximum Z = 3.13, P = 0.0009 for SQ, respectively). No significant association of a major haplotype with ND was found in the AA or EA female smokers. The significant association of BDNF variants with ND implies that this gene plays a role in the etiology of ND in EAs and that its involvement is gender specific. BDNF may warrant further investigation in ND.

Adult↗
PubMed2005

Improvement of mapping accuracy by unifying linkage and association analysis.

It is well known that pedigree/family data record information on the coexistence in founder haplotypes of alleles at nearby loci and the cotransmission from parent to offspring that reveal different, but complementary, profiles of the genetic architecture. Either conventional linkage analysis that assumes linkage equilibrium or family-based association tests (FBATs) capture only partial information, leading to inefficiency. For example, FBATs will fail to detect even very tight linkage in the case where no allelic association exists, while a violation of the assumption of linkage equilibrium will result in biased estimation and reduced efficiency in linkage mapping. In this article, by using a data augmentation technique and the EM algorithm, we propose a likelihood-based approach that embeds both linkage and association analyses into a unified framework for general pedigree data. Relative to either linkage or association analysis, the proposed approach is expected to have greater estimation accuracy and power. Monte Carlo simulations support our theoretical expectations and demonstrate that our new methodology: (1) is more powerful than either FBATs or classic linkage analysis; (2) can unbiasedly estimate genetic parameters regardless of whether association exists, thus remedying the bias and less precision of traditional linkage analysis in the presence of association; and (3) is capable of identifying tight linkage alone. The new approach also holds the theoretical advantage that it can extract statistical information to the maximum extent and thereby improve mapping accuracy and power because it integrates multilocus population-based association study and pedigree-based linkage analysis into a coherent framework. Furthermore, our method is numerically stable and computationally efficient, as compared to existing parametric methods that use the simplex algorithm or Newton-type methods to maximize high-order multidimensional likelihood functions, and also offers the computation of Fisher's information matrix. Finally, we apply our methodology to a genetic study on bone mineral density (BMD) for the vitamin D receptor (VDR) gene and find that VDR is significantly linked to BMD at the one-third region of the wrist.

Algorithms↗
PubMed2005

Haplotype analysis indicates an association between the DOPA decarboxylase (DDC) gene and nicotine dependence.

DOPA decarboxylase (DDC; also known as L-amino acid decarboxylase; AADC) is involved in the synthesis of dopamine, norepinephrine and serotonin. Because the mesolimbic dopaminergic system is implicated in the reinforcing effects of many drugs, including nicotine, the DDC gene is considered a plausible candidate for involvement in the development of vulnerability to nicotine dependence (ND). Further, this gene is located within the 7p11 region that showed a 'suggestive linkage' to ND in our previous genome-wide scan in the Framingham Heart Study population. In the present study, we tested eight single nucleotide polymorphisms (SNPs) within DDC for association with ND, which was assessed by smoking quantity (SQ), the heaviness of smoking index (HSI) and the Fagerstrom test for ND (FTND) score, in a total of 2037 smokers and non-smokers from 602 nuclear families of African- or European-American (AA or EA, respectively) ancestry. Association analysis for individual SNPs using the PBAT-GEE program indicated that SNP rs921451 was significantly associated with two of the three adjusted ND measures in the EA sample (P=0.01-0.04). Haplotype-based association analysis revealed a protective T-G-T-G haplotype for rs921451-rs3735273-rs1451371-rs2060762 in the AA sample, which was significantly associated with all three adjusted ND measures after correction for multiple testing (min Z=-2.78, P=0.006 for HSI). In contrast, we found a high-risk T-G-T-G haplotype for a different SNP combination in the EA sample, rs921451-rs3735273-rs1451371-rs3757472, which showed a significant association after Bonferroni correction with the SQ and FTND score (max Z=2.73, P=0.005 for FTND). In summary, our findings provide the first evidence for the involvement of DDC in the susceptibility to ND and, further, reveal the racial specificity of its impact.

Adult↗
PubMed2005

Ethnic- and gender-specific association of the nicotinic acetylcholine receptor alpha4 subunit gene (CHRNA4) with nicotine dependence.

We tested six single nucleotide polymorphisms (SNPs) in the alpha4 subunit gene (CHRNA4) and four SNPs in the beta2 subunit gene (CHRNB2) of nicotinic acetylcholine receptors (nAChRs) for association with nicotine dependence (ND), which was assessed by smoking quantity (SQ), the heaviness of smoking index (HSI) and the Fagerstrom test for ND (FTND) in 2037 subjects from 602 nuclear families of either European-American (EA) or African-American (AA) ancestry. Analysis of the six SNPs within CHRNA4 demonstrated that in the EA sample SNPs rs2273504 and rs1044396 are significantly associated with the adjusted SQ and FTND score, respectively. In the AA samples, SNPs rs3787137 and rs2236196 are each significantly associated with at least two adjusted ND measures. Association of rs2236196 with the adjusted HSI and FTND scores in the AA samples remained significant after correction for multiple testing. Furthermore, analysis revealed gender- and ethnic-specific associations for several SNPs with ND measures in both ethnic samples; however, only the association of SNP rs2236196 with the three adjusted ND measures remained significant after correcting for multiple testing in the AA female samples. Haplotype analysis of rs2273505-rs2273504-rs2236196 showed significant association after Bonferroni correction of a C-G-G haplotype (53.4%) with three adjusted ND measures in samples from the AA females. A similar analysis for the four SNPs within CHRNB2 did not reveal significant association with the three ND measures. In summary, our findings provide convincing evidence for the involvement of the nAChR alpha4 subunit, but not of the nAChR beta2 subunit, in nicotine addiction.

Black People↗
PubMed2005

Single- and multilocus allelic variants within the GABA(B) receptor subunit 2 (GABAB2) gene are significantly associated with nicotine dependence.

Twelve single-nucleotide polymorphisms (SNPs) in the human gamma-aminobutyric acid type B (GABA(B)) receptor subunit 2 gene (GABAB2) were tested for association with nicotine dependence (ND) in an extensively phenotyped cohort of 1,276 smokers and nonsmokers, representing approximately 404 nuclear families of African American (AA) or European American (EA) origin. The GABAB2 gene encodes a subunit of the GABA(B) receptor for GABA, an inhibitory neurotransmitter involved in the regulation of many physiological and psychological processes in the brain. The gene is located within a region of chromosome 9q22 that showed a "suggestive" linkage to ND. Individual SNP analysis performed using the PBAT-GEE program indicated that two SNPs in the AAs and four SNPs in the EAs were significantly associated with ND. Haplotype analysis using the Family-Based Association Test revealed that, even after Bonferroni correction, the haplotype C-C-G of rs2491397-rs2184026-rs3750344 had a significant positive association with ND in both the pooled and the AA samples. In the EAs, we identified two haplotypes, C-A-C-A and T-A-T-A, formed by SNPs rs1435252-rs378042-rs2779562-rs3750344, that showed a highly significant negative and positive association with ND, respectively. In summary, our findings provide evidence of a significant association of GABAB2 variants with ND, implying that this gene plays an important role in the etiology of this drug addiction.

Adult↗
PubMed2005

Fine mapping functional sites or regions from case-control data using haplotypes of multiple linked SNPs.

Previously, we reported an algorithm for scanning a large number of tightly linked single nucleotide polymorphisms (SNPs) for LD mapping of functional sites or regions from a family-based association design. In the present study, we extend our method to a case-control design. We first use the expectation maximization (EM) algorithm to estimate haplotype frequencies of multiple linked SNPs, and follow this by constructing a contingency table statistic S for LD analysis, based on the estimated haplotype frequencies. An empirical p-value is obtained based on the null distribution of the maximum of S (S*) from a large number (e.g., 1,000 or more) of randomized permutations. The proposed algorithm has been implemented in a computer program in which window searching for functional SNP sites can cover any number of loci without limitation, except that of computer storage. Unlike other programs for a case-control design that always conduct tests at a fix window width, in our program after setting a maximum size of haplotype window width, for a given maximum window width all possible widths of haplotypes are utilized to find the maximum statistic S * for each locus under investigation. The sensitivity of the proposed algorithm has been examined with simulated and real genotyping datasets. Association analyses indicate that our program is powerful enough to detect most, if not all, functional SNPs simulated in the original model or identified in the original report. Moreover, the program is very flexible and can be used in either regional or genome-wide scanning for association analysis with SNP markers.

Algorithms↗
PubMed2005

Comorbid alcohol and nicotine dependence: from the biomolecular basis to clinical consequences.

This article represents the proceedings of a symposium presented at the 12th Congress of the International Society for Biomedical Research on Alcoholism held in Heidelberg/Mannheim, Germany, on October 1, 2004. The organizers and cochairs were Nassima Ait-Daoud, MD, and Gerhard A. Wiesbeck, MD. The presentations included the following:L (1) The Role of Nicotinic Acetylcholine Receptors in Alcohol-Seeking Behavior, by Przemyslaw Bienkowski, MD, PhD; (2) Utilization of Linkage Analysis Combined with Microarray Technology to Identify Genes and Mechanisms Underlying Nicotine and Alcohol Use and Abuse in Humans and Rodents, by Ming D. Li, PhD; (3) Smoking and Alcoholic Chronic Pancreatitis: The Underestimated Risk?, by Roland H. Pfützer, MD; (4) Anticraving Medication in Alcohol and Nicotine Dependence, by Otto M. Lesch, MD, PhD; and (5) Pharmacotherapy for Promotion of Abstinence from Nicotine Among Alcohol-Dependent Individuals, by Bankole A. Johnson, DSc, MD, PhD.

Alcohol Deterrents↗
PubMed2004

Time-dependent changes in transcriptional profiles within five rat brain regions in response to nicotine treatment.

Many years of behavioral and neurobiology studies have demonstrated broad physiological and pharmacological effects of nicotine on the central nervous system (CNS). However, the gene expression profiles associated with these effects are largely unknown. In this study, we characterized gene expression profiles in the prefrontal cortex, striatum, hypothalamus, amygdala and ventral tegmental area of the rat brain in response to subacute and chronic systemic nicotine administration using a pathway-focused microarray developed in this laboratory that contains 638 sequence-verified genes representing broad, yet targeted, biological functions. By comparing the regional effects of nicotine treatment on gene expression levels, we derived the expression profiles of targeted genes and gene families responding to the new environment created by nicotine throughout the complex connections of the CNS. While the expression of many genes was modulated by nicotine in several regions, only a few were co-modulated in multiple brain regions, suggesting region-specific transcriptional responses. Cluster analysis of significantly altered genes within each brain region over the course of nicotine treatment indicated the genes could be grouped into clusters. Subsequent ANOVA analysis demonstrated these clusters within each brain region to be significantly different at most time points. The clusters were comprised of broad functional groups, such as signaling, neurotransmission and protein modifications, demonstrating unique expression patterns within each region. Using a systematic approach to compare the different regional responses to nicotine administration will eventually provide a better understanding of how the different brain regions responding to this drug.

Amygdala↗
PubMed2004

Nicotine coregulates multiple pathways involved in protein modification/degradation in rat brain.

Previously, we used cDNA microarrays to demonstrate that the phosphatidylinositol and MAP kinase signaling pathways are regulated by nicotine in different rat brain regions. In the present report, we show that, after exposure to nicotine for 14 days, ubiquitin, ubiquitin-conjugating enzymes, 20S and 19S proteasomal subunits, and chaperonin-containing TCP-1 protein (CCT) complex members are upregulated in rat prefrontal cortex (PFC) while being downregulated in the medial basal hypothalamus (MBH). In particular, relative to saline controls, ubiquitins B and C were upregulated by 33% and 47% (P<0.01), respectively, in the PFC. The proteasome beta subunit 1 (PSMB1) and 26S ATPase 3 (PSMC3) genes were upregulated in the PFC by 95% and 119% (P<0.001), respectively. In addition to the protein degradation pathway of the ubiquitin-proteasome complexes, we observed in the PFC an increase in the expression of small, ubiquitin-related modifiers (SUMO) 1 and 2 by 80% and 33%, respectively (P<0.001), and in 3 of 6 CCT subunits by up to 150% (P<0.0001). To a lesser extent, a change in the opposite direction was obtained in the expression of the same gene families in the MBH. Quantitative real-time RT-PCR was used to validate the microarray results obtained with some representative genes involved in these pathways. Taken together, our results suggest that, in response to systemic nicotine administration, the ubiquitin-proteasome, SUMO, and chaperonin complexes provide an intricate control mechanism to maintain cellular homeostasis, possibly by regulating the composition and signaling of target neurons in a region-specific manner.

Animals↗
PubMed2004

Application of a customized pathway-focused microarray for gene expression profiling of cellular homeostasis upon exposure to nicotine in PC12 cells.

Maintenance of cellular homeostasis is integral to appropriate regulation of cellular signaling and cell growth and division. In this study, we report the development and quality assessment of a pathway-focused microarray comprising genes involved in cellular homeostasis. Since nicotine is known to have highly modulatory effects on the intracellular calcium homeostasis, we therefore tested the applicability of the homeostatic pathway-focused microarray on the gene expression in PC-12 cells treated with 1 mM nicotine for 48 h relative to the untreated control cells. We first provided a detailed description of the focused array with respect to its gene and pathway content and then assessed the array quality using a robust regression procedure that allows for the exclusion of unreliable measurements while decreasing the number of false positives. As a result, the mean correlation coefficient between duplicate measurements of the arrays used in this study (control vs. nicotine treatment, three samples each) has increased from 0.974+/-0.017 to 0.995+/-0.002. Furthermore, we found that nicotine affected various structural and signaling components of the AKT/PKB signaling pathway and protein synthesis and degradation processes in PC-12 cells. Since modulation of intracellular calcium concentrations ([Ca(2+)](i)) and phosphatidylinositol signaling are important in various biological processes such as neurotransmitter release and tissue pathogenesis including tumor formation, we expect that the homeostatic pathway-focused microarray potentially can be used for the identification of unique gene expression profiles in comparative studies of drugs of abuse and diverse environmental stimuli, such as starvation and oxidative stress.

Animals↗
PubMed2004

Microarray analysis of ethanol-treated cortical neurons reveals disruption of genes related to the ubiquitin-proteasome pathway and protein synthesis.

BACKGROUND: Chronic ethanol abuse results in deleterious behavioral responses such as tolerance, dependence, reinforcement, sensitization, and craving. The objective of this research was to identify transcripts that are differentially regulated in ethanol-treated cortical neurons compared with controls by using a pathway-focused complementary DNA microarray. METHODS: Cortical neurons were isolated from postconception day 14 C57BL/6 mouse fetuses and cultured according to a standard protocol. The cortical neuronal cells were treated with 100 mM ethanol for five consecutive days with a change of media every day. A homeostatic pathway-focused microarray consisting of 638 sequence-verified genes was used to measure transcripts differentially regulated in four ethanol-treated cortical neuron samples and four control samples. Quantitative real-time reverse transcriptase-polymerase chain reaction analysis was used to verify the mRNA expression levels of genes of interest detected from the microarray experiments. RESULTS: We identified 56 down-regulated and 10 up-regulated genes in ethanol-treated cortical neurons relative to untreated controls at a 5% false-discovery rate. The expression of many genes involved in ubiquitin-proteasome and protein synthesis was decreased by ethanol, including ubiquitin B, ubiquitin-like 3, ubiquitin-conjugating enzyme E3A, 20S proteasome alpha- and beta-subunits, and members of the ribosomal proteins. Furthermore, the mRNA expression of heat shock proteins, myristoylated alanine-rich protein kinase C substrate, phosphatase and tensin homolog deleted on chromosome 10, and FK506 binding protein rapamycin-associated protein (FKBP) (mTOR) was also decreased in ethanol-treated cortical neurons. Quantitative real-time reverse transcriptase-polymerase chain reaction analysis of genes involved in the ubiquitin-proteasome cascade revealed a down-regulation of these genes, thereby corroborating our microarray results. CONCLUSIONS: Our results indicate that chronic ethanol treatment of cortical neurons resulted in decreased mRNA expression of genes involving the ubiquitin-proteasome pathway and ribosomal proteins together with mTOR expression leading to disruption of protein degradation mechanism and impairment of protein synthesis machinery.

Animals↗
PubMed2004

Normalization of cDNA microarray data using wavelet regressions.

Normalization is an essential step in microarray data mining and analysis. For cDNA microarray data, the primary purpose of normalization is removing the intensity-dependent bias across different slides within an experimental group or between multiple groups. The locally weighted regression (lowess) procedure has been widely used for this purpose but can be comparatively time consuming when the dataset becomes relatively large. In this study, we applied wavelet regressions, a new smoothing method for recovering a regression function from data that is supposed to outperform other methods in many cases, such as spline or local polynomial fitting, to normalize two cDNA microarray datasets. Relative to the lowess procedure, we found that wavelet regressions not only produced reliable normalization results but also ran much faster. The computing speed represents one of the most important advantages over other algorithms, especially when one is interested in analyzing a large microarray experiment involving hundreds of slides.

Algorithms↗