Biomedical subjects

Lei Ding

Publications and source records attributed to Lei Ding.

At least 19 recordsLinked to original sources

PubMed2025

Integrated multi-omics analysis reveals TMEM147 as an immunosuppressive prognostic biomarker in LUAD.

TMEM147, an endoplasmic reticulum (ER) membrane protein, is implicated in lung adenocarcinoma (LUAD) progression, although its precise role remains unclear. To elucidate its function, this study integrated bioinformatics analyses with experimental validation. First, TMEM147 expression was assessed using TCGA and GEO datasets, with validation performed in LUAD cell lines. Survival analysis evaluated its prognostic significance. Subsequently, Gene Ontology (GO)/Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses and single-sample gene set enrichment analysis (ssGSEA) were employed to identify associated functional pathways and interactions within the tumor immune microenvironment. Transcription factor binding predictions and in vitro functional assays (migration, invasion, proliferation) further characterized TMEM147's role. Results indicated that TMEM147 was significantly upregulated in LUAD and correlated with poor outcomes in patients. FLI1 was predicted as a key transcriptional regulator of TMEM147. Furthermore, TMEM147 expression influenced immune cell infiltration profiles and was associated with pathways involved in ribonucleoprotein biogenesis and oxidative phosphorylation (OXPHOS). Importantly, silencing TMEM147 significantly reduced cancer cell migration, invasion, and proliferation. These findings collectively suggest that TMEM147 promotes LUAD progression and holds potential as both a prognostic biomarker and a therapeutic target.

Bioinformatics analysis↗

PubMed2007

Comparison of different cortical connectivity estimators for high-resolution EEG recordings.

The aim of this work is to characterize quantitatively the performance of a body of techniques in the frequency domain for the estimation of cortical connectivity from high-resolution EEG recordings in different operative conditions commonly encountered in practice. Connectivity pattern estimators investigated are the Directed Transfer Function (DTF), its modification known as direct DTF (dDTF) and the Partial Directed Coherence (PDC). Predefined patterns of cortical connectivity were simulated and then retrieved by the application of the DTF, dDTF, and PDC methods. Signal-to-noise ratio (SNR) and length (LENGTH) of EEG epochs were studied as factors affecting the reconstruction of the imposed connectivity patterns. Reconstruction quality and error rate in estimated connectivity patterns were evaluated by means of some indexes of quality for the reconstructed connectivity pattern. The error functions were statistically analyzed with analysis of variance (ANOVA). The whole methodology was then applied to high-resolution EEG data recorded during the well-known Stroop paradigm. Simulations indicated that all three methods correctly estimated the simulated connectivity patterns under reasonable conditions. However, performance of the methods differed somewhat as a function of SNR and LENGTH factors. The methods were generally equivalent when applied to the Stroop data. In general, the amount of available EEG affected the accuracy of connectivity pattern estimations. Analysis of 27 s of nonconsecutive recordings with an SNR of 3 or more ensured that the connectivity pattern could be accurately recovered with an error below 7% for the PDC and 5% for the DTF. In conclusion, functional connectivity patterns of cortical activity can be effectively estimated under general conditions met in most EEG recordings by combining high-resolution EEG techniques, linear inverse estimation of the cortical activity, and frequency domain multivariate methods such as PDC, DTF, and dDTF.

Analysis of Variance↗

PubMed2006

Ictal source analysis: localization and imaging of causal interactions in humans.

We propose a new integrative approach to characterize the structure of seizures in the space, time, and frequency domains. Such characterization leads to a new technical development of ictal source analysis for the presurgical evaluation of epilepsy patients. The present new ictal source analysis method consists of three parts. First, a three-dimensional source scanning procedure is performed by a spatio-temporal FINE source localization method to locate the multiple sources responsible for the time evolving ictal rhythms at their onsets. Next, the dynamic behavior of the sources is modeled by a multivariate autoregressive process (MVAR). Lastly, the causal interaction patterns among the sources as a function of frequency are estimated from the MVAR modeling of the source temporal dynamics. The causal interaction patterns indicate the dynamic communications between sources, which are useful in distinguishing the primary sources responsible for the ictal onset from the secondary sources caused by the ictal propagation. The present ictal analysis strategy has been applied to a number of seizures from five epilepsy patients, and their results are consistent with observations from either MRI lesions or SPECT scans, which indicate its effectiveness. Each step of the ictal source analysis is statistically evaluated in order to guarantee the confidence in the results.

Brain↗

PubMed2006

Enhancer of Zeste 2 as a marker of preneoplastic progression in the breast.

Amplification of the Polycomb group transcriptional repressor Enhancer of Zeste 2 (EZH2) occurs in various malignancies including breast cancer, where its overexpression is associated with poor outcome. We found that EZH2 is up-regulated in ductal carcinoma in situ, atypical ductal hyperplasia, and even morphologically normal breast epithelial cells from women who have an increased risk of breast cancer. This review discusses how EZH2 may promote neoplastic conversion and it surveys the evidence suggesting that EZH2 may offer a clinical tool to help identify patients at risk for developing breast cancer before precursor lesions are histologically evident.

Biomarkers↗

PubMed2006

3D source localization of interictal spikes in epilepsy patients with MRI lesions.

The present study aims to accurately localize epileptogenic regions which are responsible for epileptic activities in epilepsy patients by means of a new subspace source localization approach, i.e. first principle vectors (FINE), using scalp EEG recordings. Computer simulations were first performed to assess source localization accuracy of FINE in the clinical electrode set-up. The source localization results from FINE were compared with the results from a classic subspace source localization approach, i.e. MUSIC, and their differences were tested statistically using the paired t-test. Other factors influencing the source localization accuracy were assessed statistically by ANOVA. The interictal epileptiform spike data from three adult epilepsy patients with medically intractable partial epilepsy and well-defined symptomatic MRI lesions were then studied using both FINE and MUSIC. The comparison between the electrical sources estimated by the subspace source localization approaches and MRI lesions was made through the coregistration between the EEG recordings and MRI scans. The accuracy of estimations made by FINE and MUSIC was also evaluated and compared by R(2) statistic, which was used to indicate the goodness-of-fit of the estimated sources to the scalp EEG recordings. The three-concentric-spheres head volume conductor model was built for each patient with three spheres of different radii which takes the individual head size and skull thickness into consideration. The results from computer simulations indicate that the improvement of source spatial resolvability and localization accuracy of FINE as compared with MUSIC is significant when simulated sources are closely spaced, deep, or signal-to-noise ratio is low in a clinical electrode set-up. The interictal electrical generators estimated by FINE and MUSIC are in concordance with the patients' structural abnormality, i.e. MRI lesions, in all three patients. The higher R(2) values achieved by FINE than MUSIC indicate that FINE provides a more satisfactory fitting of the scalp potential measurements than MUSIC in all patients. The present results suggest that FINE provides a useful brain source imaging technique, from clinical EEG recordings, for identifying and localizing epileptogenic regions in epilepsy patients with focal partial seizures. The present study may lead to the establishment of a high-resolution source localization technique from scalp-recorded EEGs for aiding presurgical planning in epilepsy patients.

Action Potentials↗

PubMed2006

A cortical potential imaging study from simultaneous extra- and intracranial electrical recordings by means of the finite element method.

In the present study, we have validated the cortical potential imaging (CPI) technique for estimating cortical potentials from scalp EEG using simultaneously recorded electrocorticogram (ECoG) in the presence of strong local inhomogeneity, i.e., Silastic ECoG grid(s). The finite element method (FEM) was used to model the realistic postoperative head volume conductor, which includes the scalp, skull, cerebrospinal fluid (CSF) and brain, as well as the Silastic ECoG grid(s) implanted during the surgical evaluation in epilepsy patients, from the co-registered magnetic resonance (MR) and computer tomography (CT) images. A series of computer simulations were conducted to evaluate the present FEM-based CPI technique and to assess the effect of the Silastic ECoG grid on the scalp EEG forward solutions. The present simulation results show that the Silastic ECoG grid has substantial influence on the scalp potential forward solution due to the distortion of current pathways in the presence of the extremely low conductive materials. On the other hand, its influence on the estimated cortical potential distribution is much less than that on the scalp potential distribution. With appropriate numerical modeling and inverse estimation techniques, we have demonstrated the feasibility of estimating the cortical potentials from the scalp EEG with the implanted Silastic ECoG gird(s), in both computer simulations and in human experimentation. In an epilepsy patient undergoing surgical evaluation, the cortical potentials were reconstructed from the simultaneously recorded scalp EEG, in which main features of spatial patterns during interictal spike were preserved and over 0.75 correlation coefficient value was obtained between the recorded and estimated cortical potentials. The FEM-based CPI technique provides a means of connecting the simultaneous recorded ECoG and the scalp EEG and promises to become an effective tool to evaluate and validate CPI techniques using clinic data.

Algorithms↗

PubMed2006

Identification of EZH2 as a molecular marker for a precancerous state in morphologically normal breast tissues.

The discovery of molecular markers to detect the precancerous state would have profound implications in the prevention of breast cancer. We report that the expression of the Polycomb group protein EZH2 increases in histologically normal breast epithelium with higher risk of developing cancer. We identify EZH2 as a potential marker for detecting preneoplastic lesions of the breast in vivo and as a possible target for preventative intervention.

Biomarkers, Tumor↗

PubMed2006

Olig2-positive progenitors in the embryonic spinal cord give rise not only to motoneurons and oligodendrocytes, but also to a subset of astrocytes and ependymal cells.

Motoneurons and oligodendrocytes in the embryonic spinal cord are produced from a restricted domain of the ventral ventricular zone, termed the pMN domain. The pMN domain is the site of expression of two basic helix-loop-helix transcription factors, Olig1 and Olig2, which are essential for motoneuron and oligodendrocyte development. Previous lineage-tracing experiments using Olig1-Cre and Olig2-GFP mice suggested that motoneurons and oligodendrocytes, but not astrocytes, are produced from the pMN domain. However, important questions remain, including the fate of neuroepithelial cells in the pMN domain, and specifically whether motoneurons and oligodendrocytes are the only types of cells produced in the pMN domain. We performed lineage-tracing experiments using a tamoxifen-inducible Cre-recombinase inserted into the Olig2 locus. We demonstrated that motoneurons and oligodendrocyte progenitors are derived from the Olig2+ progenitors in the pMN domain, and also found that a subset of astrocytes at the ventral surface of the spinal cord and ependymal cells at the ventricular surface are also produced from the pMN domain. These findings demonstrate that motoneurons and oligodendrocytes are not the only cell types originating from this domain.

Animals↗

PubMed2006

Inhibition of the VEGF expression and cell growth in hepatocellular carcinoma by blocking HIF-1alpha and Smad3 binding site in VEGF promoter.

In order to investigate the inhibitory effects on the vascular endothelial growth factor (VEGF) expression and cell growth in hapatocellular carcinoma (HCC) by blocking HIF-1alpha and Smad3 binding site in the VEGF promoter, antisense oligodeoxynucleotides (ASODN) were designed to block HIF-1alpha and Smad3 binding site in the VEGF promoter. Different concentrations of ASODN and ODN were transfected into HCC cells respectively. The expression of VEGF mRNA and protein was detected by SABC, Western blot and RT-PCR techniques and the inhibitory effects on the expression of VEGF and cell growth of the HCC cells stimulated by the supernatants were determined by using MTT method. Immunohistochestry revealed that after co-inoculation of hepatocellular carcinoma cells with different concentrations of ODN and ASODN for 48 h, there was no significant difference in the expression of VEGF protein between ODN group and control group (P > 0.05), but there was significant difference between ASODN group and control group (P < 0.05). At a concentration of 10 micromol/L ASODN, the difference was very significant (P < 0.01). Western blot and RT-PCR revealed that, after treatment for 48 h at a concentration of 10 micromol/L. the integral gray levels and RNA odds were 59743.2 +/- 10412.5 and 0.783 +/- 0.032 in ODN group, and 38694.5 +/- 10925.1 and 0.468 +/- 0.015 in ASODN group, respectively, with the difference being very significant (P < 0.01). Antisense ODN could inhibit the growth of HCC cells in a concentration-dependent manner. It was concluded that anti-gene technique of aiming at HIF-1alpha action site in the VEGF promoter could suppress the VEGF expression and inhibit HCC cell growth, and it is promising that anti-gene technique works as a new gene therapeutic tool for anti-angiogenesis of HCC.

Binding Sites↗

PubMed2006

Spatio-temporal EEG source localization using a three-dimensional subspace FINE approach in a realistic geometry inhomogeneous head model.

The subspace source localization approach, i.e., first principle vectors (FINE), is able to enhance the spatial resolvability and localization accuracy for closely-spaced neural sources from EEG and MEG measurements. Computer simulations were conducted to evaluate the performance of the FINE algorithm in an inhomogeneous realistic geometry head model under a variety of conditions. The source localization abilities of FINE were examined at different cortical regions and at different depths. The present computer simulation results indicate that FINE has enhanced source localization capability, as compared with MUSIC and RAP-MUSIC, when sources are closely spaced, highly noise-contaminated, or inter-correlated. The source localization accuracy of FINE is better, for closely-spaced sources, than MUSIC at various noise levels, i.e., signal-to-noise ratio (SNR) from 6 dB to 16 dB, and RAP-MUSIC at relatively low noise levels, i.e., 6 dB to 12 dB. The FINE approach has been further applied to localize brain sources of motor potentials, obtained during the finger tapping tasks in a human subject. The experimental results suggest that the detailed neural activity distribution could be revealed by FINE. The present study suggests that FINE provides enhanced performance in localizing multiple closely spaced, and inter-correlated sources under low SNR, and may become an important alternative to brain source localization from EEG or MEG.

Algorithms↗

PubMed2006

[Study on the mechanism of reversing multidrug resistance of hepatocarcinoma by bromocriptine].

OBJECTIVE: To investigate the mechanism of reversing multidrug resistance of hepatocarcinoma by bromocriptine (BCT) in vitro and in vivo. METHODS: Three groups of cultured HepG2 cells were used: HepG2 (group A), the multidrug resistance HepG2/ADM cells (group B), and the HepG2/ADM cells treated with BCT (group C). Rhodamine 123 test was used to detect the function of P-gp protein. MTT assay was performed to examine the IC50. Multidrug resistance index to common five anticancer drugs of different concentrations of BCT and immunocytochemistry was performed to detect the expression of PKC-a protein. P-gp protein levels of the cells of each group were determined by Western blot. In addition, HepG2 and HepG2/ADM were injected into the livers of the nude mice (NM) (named NM HepG2, NM ADM, NM BCT groups respectively). The BCT group mice were treated with bromocriptine through gastric feedings. The sizes of the tumor growths in the livers were measured using B ultrasound. The MDR1mRNA levels in these tumor tissues were determined by reverse transcription polymerase chain reaction (RT-PCR) and the apoptosis rates of them were measured with TUNEL assay. 99mTc-MIBI SPECT was performed to detect the tumor 99mTc-MIBI accumulation index before and after the BCT treatment. RESULTS: The rate of reversing resistance to ADM by BCT was 45.68% shown by using MTT assay, and the intracellular Rho123 accumulation increased more than two times compared with the control group shown by flow cytometric assay at the concentration of 10 micromol/L BCT and the effect was time-dependent. Between group B and group C there was a significant difference in the expression of PKC-alpha protein by immunocytochemistry detection (q = 5.37, P < 0.01), but there was no significant difference in the expression of P-gp protein between the two groups (q = 1.86, P > 0.05) . There was no notable difference of growth rates of the transplanted liver tumors among the three NM groups (F = 6.39, P > 0.05), and the inhibition rate of tumor volume and weight in NM BCT was higher than that in NM ADM (q1 = 5.89, q2 = 4.92, P < 0.01), but similar to that in NM HepG2 (q1 = 2.47, q2 = 3.02, P > 0.05). No difference was detected in MDR1mRNA between NM ADM and NM BCT using RT-PCR (q = 3.71, P > 0.05). The average number of apoptotic cells per high-power field (25.7+/-1.8) in NM BCT tumor tissues was higher than that in group ADM (2.7+/-0.2) (q = 3.72, P < 0.01), but similar to that of NM HepG2 (23.9+/-1.6) (q = 1.43, P > 0.05). The uptake of 99mTc-MIBI in all the NM after BCT therapy was significantly higher than that before the BCT treatment (t = 3.58, P < 0.01). CONCLUSIONS: BCT can reverse multidrug resistance of hepatocarcinomas by inhibiting the function of P-gp protein and can enhance the susceptibility of HepG2/ADM cells to cytotoxic drugs.

ATP Binding Cassette Transporter, Subfamily B, Mem↗

PubMed2005

Cyclooxygenase-1 deficiency in bone marrow cells increases early atherosclerosis in apolipoprotein E- and low-density lipoprotein receptor-null mice.

BACKGROUND: Cyclooxygenase-1 (COX-1) has been implicated in the pathogenesis of atherothrombosis and is expressed by the major cell types of atherosclerotic lesions. COX-1-mediated platelet thromboxane (TX) production has been proposed to promote both early atherosclerosis and thrombosis. Here, we examined the impact of COX-1 deficiency in bone marrow-derived cells on early atherogenesis in the mouse. METHODS AND RESULTS: LDL receptor (LDLR)(-/-) and apolipoprotein E (apoE)(-/-) recipient mice were lethally irradiated and transplanted with COX-1(-/-) bone marrow. Mice reconstituted with COX-1(-/-) marrow had nearly complete (99.7%) loss of platelet TXA2 and significantly suppressed levels of macrophage and urinary TXA2 metabolites. Serum lipid levels and lipoprotein distributions did not differ between recipients reconstituted with COX-1(+/+) and COX-1(-/-) marrow. Surprisingly, the extent of atherosclerotic lesions in both LDLR(-/-) and apoE(-/-) mice reconstituted with COX-1(-/-) marrow was increased significantly compared with control mice transplanted with COX-1(+/+) marrow. Peritoneal macrophages isolated from LDLR(-/-) mice reconstituted with COX-1(-/-) marrow had increased lipopolysaccharide-induced levels of COX-2 mRNA and protein expression. Fetal liver cell transplantation studies revealed a 30% increase in atherosclerosis in COX-1(-/-)-->LDLR(-/-)mice compared with COX-1(+/+)-->LDLR(-/-)mice, whereas the extent of atherosclerosis was unchanged in COX-1(-/-)/COX-2(-/-)-->LDLR(-/-)mice. CONCLUSIONS: COX-1 deficiency in bone marrow-derived cells worsens early atherosclerosis in apoE(-/-) and LDLR(-/-) mice despite virtual elimination of platelet TX production. These data demonstrate that platelet TX production does not aggravate early atherosclerotic lesion formation and that upregulation of COX-2 expression in COX-1(-/-) macrophages is proatherogenic.

Animals↗

PubMed2005

Identification of GATA3 as a breast cancer prognostic marker by global gene expression meta-analysis.

GATA binding protein 3 (GATA3) is a transcriptional activator highly expressed by the luminal epithelial cells in the breast. Here we did a meta-analysis of the available breast cancer cDNA data sets on a cohort of 305 patients and found that GATA3 was one of the top genes with low expression in invasive carcinomas with poor clinical outcome. To validate its prognostic utility, we did a tissue microarray analysis on a cohort of 139 consecutive invasive carcinomas (n = 417 tissue samples) immunostained with a monoclonal antibody against GATA3. Low GATA3 expression was associated with higher histologic grade (P < 0.001), positive nodes (P = 0.002), larger tumor size (P = 0.03), negative estrogen receptor and progesterone receptor (P < 0.001 for both), and HER2-neu overexpression (P = 0.03). Patients whose tumors expressed low GATA3 had significantly shorter overall and disease-free survival when compared with those whose tumors had high GATA3 levels. The hazard ratio of metastasis or recurrence according to the GATA3 status was 0.31 (95% confidence interval, 0.13-0.74; P = 0.009). Cox multivariate analysis showed that GATA3 had independent prognostic significance above and beyond conventional variables. Our data suggest that immunohistochemical analysis of GATA3 may be the basis for a new clinically applicable test to predict tumor recurrence early in the progression of breast cancer.

Biomarkers, Tumor↗

PubMed2005

Creation of cadmium sulfide nanostructures using AFM dip-pen nanolithography.

A dip-pen nanolithography (DPN) process capable of depositing nanoscaled structures of semiconducting CdS materials was developed by careful control of the reaction speed between the precursors. The new development expanded the scope of the powerful DPN process and provided more insight in the deposition mechanism. Features ranging from several hundreds of nanometers to sub-50 nanometers were generated and characterized. The effects of the surface property of the substrate, the relative humidity, the translating rate, and the temperature were systematically investigated. X-ray photoelectron spectroscopy (XPS) was used to verify the chemical composition of the patterns. In principle, this simple and convenient method should be applicable to deposit various metal sulfides on suitable substrates.

Journal Article↗

PubMed2005

[Synergistic effect of bromocriptine combining tumor necrosis factor-alpha on reversing multidrug resistance in a nude mouse model of liver neoplasm].

OBJECTIVE: To investigate synergistic effect of bromocriptine (BCT) combining tumor necrosis factor-alpha (TNF-alpha) on reversing multidrug resistance in a nude mouse model of liver neoplasm. METHODS: Human hepatocarcinoma cell line HepG(2) (HepG(2) group), drug resistant hepatocarcinoma cell line HepG(2)/adriamycin (HepG(2)/ADM group) and hepatocarcinoma cell line transfected with TNF-alpha gene HepG(2)/ADM/TNF (TNF group and BCT group) were injected into the liver of nude mice via orthotopic implantation to establish multidrug resistance model of liver neoplasm in vivo. All the mice were injected with 5-fluouracil + adriamycin + mitomycin in abdominal cavity for 7 d. The mice in BCT group was simultaneously given bromocriptine through gastric canal. Size and weight of the tumor were measured. Furthermore tumor histological character and growth of the nude mice was observed and its chemosensitivity was tested. MDR associated genes and proteins (MRP, LRP) of implanted tumors were detected by immunohistochemical staining and reverse transcriptive polymerase chain reaction (RT-PCR), and apoptosis rate of hepatocarcinoma cells was detected by TUNEL assay. RESULTS: The nude mouse model of each cell line was all inoculated successfully. The tumor growth rate and weight were significantly different among groups (P < 0.05). After chemotherapy tumor growth inhibition rate was higher in BCT group (67%) compared to ADM and TNF groups (P < 0.01), and similar to HepG(2) group (54%). MDR1 and LRP mRNA could be detected in all groups, but TNF-alpha was detected only in TNF-alpha and BCT groups. Furthermore, MDR1 and LRP protein expression of tumors in TNF-alpha and BCT groups was low similar to HepG(2) group. The apoptosis rate of hepatocarcinoma cells was much higher in BCT group than in other groups (P < 0.05) with TUNEL assay. CONCLUSIONS: TNF-alpha gene can down-regulate the MDR associated genes and proteins expression for example MDR1, LRP, and lower its tumorgenesis. Moreover, bromocriptine can enhance the susceptibility of HepG(2)/ADM cells to cytotoxic drugs.

Animals↗

PubMed2005

Synergistic effect of bromocriptine and tumor necrosis factor-alpha on reversing hepatocellular carcinoma multidrug resistance in nude mouse MDR1 model of liver neoplasm.

AIM: To investigate the effect of bromocriptine (BCT) and tumor necrosis factor-alpha (TNF-alpha) on hepatocellular carcinoma (HCC) multidrug resistance (MDR) in nude mouse MDR model of liver neoplasm. METHODS: Human hepatocarcinoma cell line HepG(2), drug resistant hepatocarcinoma cell line HepG(2)/adriamycin (ADM) and hepatocarcinoma cell line transfected with TNF-alpha gene HepG(2)/ADM/TNF were injected into the liver of nude mice via orthotopic implantation and MDR model of liver neoplasm in vivo was established (HepG(2), ADM, TNF, BCT groups). Among these groups, BCT group and TNF group were treated with BCT through gastric canal. Each group was divided into control group and chemotherapy group. Size and weight of the tumor were measured. Furthermore, tumor histological character and growth of the nude mice were observed and their chemosensitivity was tested. MDR-associated genes and proteins (MRP, LRP) of implanted tumors were detected by immunohistochemistry, reverse transcriptase polymerase chain reaction, and apoptosis rate of hepatocarcinoma cells was detected by TUNEL assay. RESULTS: The nude mouse model of each cell line was inoculated successfully. The tumor growth rate and weight were significantly different among groups. After chemotherapy, abdominal cavity tumor growth inhibition rate was higher in BCT group (67%) compared to ADM and TNF groups, and similar to HepG(2) group (54%). MDR1 and LRPmRNA could be detected in all groups, but TNF-alpha was detected only in TNF and BCT groups. Furthermore, MDR1 and LRP protein expression of tumors in TNF and BCT groups was low similar to HepG(2) group. The apoptosis rate of hepatocarcinoma cells was much higher in BCT group than in other groups with TUNEL assay. CONCLUSION: BCT and TNF-alpha can reverse HCC MDR in nude mouse MDR1 model of liver neoplasm.

ATP Binding Cassette Transporter, Subfamily B, Mem↗

PubMed2005

The developmental timing regulator AIN-1 interacts with miRISCs and may target the argonaute protein ALG-1 to cytoplasmic P bodies in C. elegans.

In metazoans, microRNAs (miRNAs) carry out various regulatory functions through association with multiprotein miRNA-induced silencing complexes (miRISCs) that contain Dicer and Argonaute proteins. How miRNAs regulate the expression of their mRNA targets remains a major research question. We have identified the C. elegans ain-1 gene through a genetic suppressor screen and shown that it functions with the heterochronic genetic pathway that regulates developmental timing. Biochemical analysis indicates that AIN-1 interacts with protein complexes containing an Argonaute protein, Dicer, and miRNAs. AIN-1 shares homology with the candidate human neurological disease protein GW182, shown to localize in cytoplasmic processing bodies that are sites of mRNA degradation and storage. A functional AIN-1::GFP also localizes at the likely worm processing bodies. When coexpressed from transgenes, AIN-1 targets ALG-1 to the foci. These results suggest a model where AIN-1 regulates a subset of miRISCs by localization to the processing bodies, facilitating degradation or translational inhibition of mRNA targets.

Animals↗

PubMed2005

Low resolution brain electromagnetic tomography in a realistic geometry head model: a simulation study.

It is of importance to localize neural sources from scalp recorded EEG. Low resolution brain electromagnetic tomography (LORETA) has received considerable attention for localizing brain electrical sources. However, most such efforts have used spherical head models in representing the head volume conductor. Investigation of the performance of LORETA in a realistic geometry head model, as compared with the spherical model, will provide useful information guiding interpretation of data obtained by using the spherical head model. The performance of LORETA was evaluated by means of computer simulations. The boundary element method was used to solve the forward problem. A three-shell realistic geometry (RG) head model was constructed from MRI scans of a human subject. Dipole source configurations of a single dipole located at different regions of the brain with varying depth were used to assess the performance of LORETA in different regions of the brain. A three-sphere head model was also used to approximate the RG head model, and similar simulations performed, and results compared with the RG-LORETA with reference to the locations of the simulated sources. Multisource localizations were discussed and examples given in the RG head model. Localization errors employing the spherical LORETA, with reference to the source locations within the realistic geometry head, were about 20-30 mm, for four brain regions evaluated: frontal, parietal, temporal and occipital regions. Localization errors employing the RG head model were about 10 mm over the same four brain regions. The present simulation results suggest that the use of the RG head model reduces the localization error of LORETA, and that the RG head model based LORETA is desirable if high localization accuracy is needed.

Algorithms↗