Jonathan D. Stallings

Phospholipase C-δ1 Expression Is Linked to Proliferation, DNA Synthesis, and Cyclin E Levels

We previously reported that phospholipase C-δ1 (PLC-δ1) accumulates in the nucleus at the G1/S transition, which is largely dependent on its binding to phosphatidylinositol 4,5-bisphosphate ( Stallings, J. D., Tall, E. G., Pentyala, S., and Rebecchi, M. J. (2005) J. Biol. Chem. 280, 22060-22069 ). Here, using small interfering RNA (siRNA) that specifically targets rat PLC-δ1, we investigated whether this enzyme plays a role in cell cycle control. Inhibiting expression of PLC-δ1 significantly decreased proliferation of rat C6 glioma cells and altered S phase progression. [3H]Thymidine labeling and fluorescence-activated cell sorting analysis indicated that the rates of G1/S transition and DNA synthesis were enhanced. On the other hand, knockdown cultures released from the G1/S boundary were slower to reach full G2/M DNA content, consistent with a delay in S phase. The levels of cyclin E, a key regulator of the G1/S transition and DNA synthesis, were elevated in asynchronous cultures as well as those blocked at the G1/S boundary. Epifluorescence imaging showed that transient expression of human phospholipase C-δ1, resistant to these siRNA, suppressed expression of cyclin E at the G1/S boundary despite treatment of cultures with rat-specific siRNA. Although whole cell levels of phosphatidylinositol 4,5-bisphosphate were unchanged, suppression of PLC-δ1 led to a significant rise in the nuclear levels of this phospholipid at the G1/S boundary. These results support a role for PLC-δ1 and nuclear phospholipid metabolism in regulating cell cycle progression.

Systems Level Analysis and Identification of Pathways and Networks Associated with Liver Fibrosis

Toxic liver injury causes necrosis and fibrosis, which may lead to cirrhosis and liver failure. Despite recent progress in understanding the mechanism of liver fibrosis, our knowledge of the molecular-level details of this disease is still incomplete. The elucidation of networks and pathways associated with liver fibrosis can provide insight into the underlying molecular mechanisms of the disease, as well as identify potential diagnostic or prognostic biomarkers. Towards this end, we analyzed rat gene expression data from a range of chemical exposures that produced observable periportal liver fibrosis as documented in DrugMatrix, a publicly available toxicogenomics database. We identified genes relevant to liver fibrosis using standard differential expression and co-expression analyses, and then used these genes in pathway enrichment and protein-protein interaction (PPI) network analyses. We identified a PPI network module associated with liver fibrosis that includes known liver fibrosis-relevant genes, such as tissue inhibitor of metalloproteinase-1, galectin-3, connective tissue growth factor, and lipocalin-2. We also identified several new genes, such as perilipin-3, legumain, and myocilin, which were associated with liver fibrosis. We further analyzed the expression pattern of the genes in the PPI network module across a wide range of 640 chemical exposure conditions in DrugMatrix and identified early indications of liver fibrosis for carbon tetrachloride and lipopolysaccharide exposures. Although it is well known that carbon tetrachloride and lipopolysaccharide can cause liver fibrosis, our network analysis was able to link these compounds to potential fibrotic damage before histopathological changes associated with liver fibrosis appeared. These results demonstrated that our approach is capable of identifying early-stage indicators of liver fibrosis and underscore its potential to aid in predictive toxicity, biomarker identification, and to generally identify disease-relevant pathways.

Phospholipase C-δ1is linked to proliferation, DNA synthesis and cyclin E levels

We previously reported that phospholipase C-δ1 (PLC-δ1) accumulates in the nucleus at the G1/S transition, which is largely dependent on its binding to phosphatidylinositol 4,5-bisphosphate ( Stallings, J. D., Tall, E. G., Pentyala, S., and Rebecchi, M. J. (2005) J. Biol. Chem. 280, 22060-22069 ). Here, using small interfering RNA (siRNA) that specifically targets rat PLC-δ1, we investigated whether this enzyme plays a role in cell cycle control. Inhibiting expression of PLC-δ1 significantly decreased proliferation of rat C6 glioma cells and altered S phase progression. [3H]Thymidine labeling and fluorescence-activated cell sorting analysis indicated that the rates of G1/S transition and DNA synthesis were enhanced. On the other hand, knockdown cultures released from the G1/S boundary were slower to reach full G2/M DNA content, consistent with a delay in S phase. The levels of cyclin E, a key regulator of the G1/S transition and DNA synthesis, were elevated in asynchronous cultures as well as those blocked at the G1/S boundary. Epifluorescence imaging showed that transient expression of human phospholipase C-δ1, resistant to these siRNA, suppressed expression of cyclin E at the G1/S boundary despite treatment of cultures with rat-specific siRNA. Although whole cell levels of phosphatidylinositol 4,5-bisphosphate were unchanged, suppression of PLC-δ1 led to a significant rise in the nuclear levels of this phospholipid at the G1/S boundary. These results support a role for PLC-δ1 and nuclear phospholipid metabolism in regulating cell cycle progression.

Valproic acid reversed pathologic endothelial cell gene expression profile associated with ischemia–reperfusion injury in a swine hemorrhagic shock model

BACKGROUND Vascular endothelial cells serve as the first line of defense for end organs after ischemia and reperfusion injuries. The full etiology of this dysfunction is poorly understood, and valproic acid (VPA) has proven to be beneficial after traumatic injury. The purpose of this study was to determine the mechanism of action through which VPA exerts its beneficial effects. METHODS Sixteen Yorkshire swine underwent a standardized protocol for an ischemia-reperfusion injury through hemorrhage and a supraceliac cross-clamp with ensuing 6-hour resuscitation. The experimental swine (n = 6), received VPA at cross-clamp application and were compared with a sham (n = 5) and injury-control models (n = 5). Aortic endothelium was harvested, and microarray analysis was performed along with a functional clustering analysis with gene transcript validation using relative quantitative polymerase chain reaction. RESULTS Clinical comparison of experimental swine matched for sex, weight, and length demonstrated that VPA significantly decreased resuscitative requirements, with improved hemodynamics and physiologic laboratory measurements. Six transcript profiles from the VPA treatment were compared with the 1536 gene transcripts (529 up and 1007 down) from sham and injury-control swine. Microarray analysis and a Database for Annotation, Visualization and Integrated Discovery functional pathway analysis approach identified biologic processes associated with pathologic vascular endothelial function, specifically through functional cluster pathways involving apoptosis/cell death and angiogenesis/vascular development, with five specific genes (THBS1, TNFRSF12A, ANGPTL4, RHOB, and RTN4) identified as members of both functional clusters. This study also examined gene expression of transforming growth factor (TGF)-β (TGF-β1, TGF-β2, and TGF-β-releasing thrombospondin 1 [THBS1]) and genes expressing vascular endothelial growth factor (VEGF) C, VEGFD, and VEGFR1 and found that these genes were involved in the endothelial functional preservation associated with VPA administration. CONCLUSIONS VPA minimized pathologic endothelial cell function through the TGF-β and VEGF functional pathways. This study also implicates that integrated functional modeling and analysis will enable advancements in endothelial dysfunction using a systems biology approach.

Transcriptional Analysis of Novel Hormone Receptors PGRMC1 and PGRMC2 as Potential Biomarkers of Breast Adenocarcinoma Staging

BACKGROUND The expression of progesterone receptor membrane component 1 (PGRMC1) in breast cancer has generated interest in this recently discovered protein because of its role in tumorigenesis. However, correlations between patient age, PGRMC1 gene expression, breast cancer morphology, and breast cancer stage have not been adequately studied. Furthermore, very little is known about possible roles for other PGRMC isoforms in breast cancer, like PGRMC2. Thus, we examined the expression of PGRMC1 and PGRMC2 mRNA by relative quantitative PCR (RelqPCR) and determined whether transcript levels correlate with age, breast cancer staging, estrogen receptor alpha (ERα) status, and other morphometric features routinely used during the pathological examination of breast ductal adenocarcinomas. METHODS Twenty-eight frozen or paraffin embedded breast cancer samples (ductal carcinoma in situ and stages I thru IV invasive ductal adenocarcinoma) and 10 control benign breast tissue samples were randomly selected and interrogated by RelqPCR to determine PGRMC1, 2, and ERα mRNA transcript levels. To control for slight variations in sample preparation, receptor transcript was normalized to the housekeeping gene phosphoglycerate kinase 1 (PGK1). Descriptive statistics and ANOVA of multiparametric datasets were used to correlate transcript levels with pathological staging parameters. RESULTS PGRMC1 mRNA levels decreased significantly with patient age (Pearsons correlation -0.369; P=0.035), whereas PGRMC2 levels did not. Although the mean relative expression of PGRMC1 significantly decreased in stage II breast cancer compared with controls (P=0.050), it was no longer significant when age was considered a covariance (P=0.371). On the other hand, PGRMC2 mRNA transcript was significantly decreased in stage II breast cancer when compared to stage III cancer (P=0.028) in a manner independent of age (corrected model Bonferroni pair wise comparison, P=0.036). Furthermore, PGRMC2 levels positively correlated with ERα mRNA transcripts in patients with ER positive tumors (Pearsons correlation 0.503, P=0.096). CONCLUSIONS Decreases in PGRMC1 mRNA are partially explained by increasing patient age. On the other hand, compared to stage III, PCRMC2 mRNA was significantly decreased in stage II adenocarcinoma of the breast in an age-independent manner. Additionally, PGRMC2 mRNA levels displayed a positive correlation with ERα transcripts. Thus, in addition to morphometric pathologic staging criteria, measurements of PGRMC2 mRNA may be useful for distinguishing low stage tumors from higher stages that require more aggressive clinical management, and may be a useful test when tumor ER IHC results are equivocal.

Characterization of Chemically Induced Liver Injuries Using Gene Co-Expression Modules

Liver injuries due to ingestion or exposure to chemicals and industrial toxicants pose a serious health risk that may be hard to assess due to a lack of non-invasive diagnostic tests. Mapping chemical injuries to organ-specific damage and clinical outcomes via biomarkers or biomarker panels will provide the foundation for highly specific and robust diagnostic tests. Here, we have used DrugMatrix, a toxicogenomics database containing organ-specific gene expression data matched to dose-dependent chemical exposures and adverse clinical pathology assessments in Sprague Dawley rats, to identify groups of co-expressed genes (modules) specific to injury endpoints in the liver. We identified 78 such gene co-expression modules associated with 25 diverse injury endpoints categorized from clinical pathology, organ weight changes, and histopathology. Using gene expression data associated with an injury condition, we showed that these modules exhibited different patterns of activation characteristic of each injury. We further showed that specific module genes mapped to 1) known biochemical pathways associated with liver injuries and 2) clinically used diagnostic tests for liver fibrosis. As such, the gene modules have characteristics of both generalized and specific toxic response pathways. Using these results, we proposed three gene signature sets characteristic of liver fibrosis, steatosis, and general liver injury based on genes from the co-expression modules. Out of all 92 identified genes, 18 (20%) genes have well-documented relationships with liver disease, whereas the rest are novel and have not previously been associated with liver disease. In conclusion, identifying gene co-expression modules associated with chemically induced liver injuries aids in generating testable hypotheses and has the potential to identify putative biomarkers of adverse health effects.

Longitudinal Analysis of Maternal Plasma Apolipoproteins in Pregnancy: A Targeted Proteomics Approach

Minimally invasive diagnostic tests are needed in obstetrics to identify women at risk for complications during delivery. The apolipoproteins fluctuate in complexity and abundance in maternal plasma during pregnancy and could be incorporated into a blood test to evaluate this risk. The objective of this study was to examine the relative plasma concentrations of apolipoproteins and their biochemically modified subtypes (i.e. proteolytically processed, sialylated, cysteinylated, dimerized) over gestational time using a targeted mass spectrometry approach. Relative abundance of modified and unmodified apolipoproteins A-I, A-II, C-I, C-II, and C-III was determined by surface-enhanced laser desorption/ionization-time of flight-mass spectrometry in plasma prospectively collected from 11 gravidas with uncomplicated pregnancies at 4–5 gestational time points per patient. Apolipoproteins were readily identifiable by spectral pattern. Apo C-III2 and Apo C-III1 (doubly and singly sialylated Apo C-III subtypes) increased with gestational age (r2>0.8). Unmodified Apo A-II, Apo C-I, and Apo C-III0 showed no correlation (r2 = 0.01–0.1). Pro-Apo C-II did not increase significantly until third trimester (140 ± 13% of first trimester), but proteolytically cleaved, mature Apo C-II increased in late pregnancy (702 ± 130% of first trimester). Mature Apo C-II represented 6.7 ± 0.9% of total Apo C-II in early gestation and increased to 33 ± 4.5% in third trimester. A label-free, semiquantitative targeted proteomics approach was developed using LTQ-Orbitrap mass spectrometry to confirm the relative quantitative differences observed by surface-enhanced laser desorption/ionization-time of flight-mass spectrometry in Apo C-III and Apo C-II isoforms between first and third trimesters. Targeted apolipoprotein screening was applied to a cohort of term and preterm patients. Modified Apo A-II isoforms were significantly elevated in plasma from mothers who delivered prematurely relative to term controls (p = 0.02). These results support a role for targeted proteomics profiling approaches in monitoring healthy pregnancies and assessing risk of adverse obstetric outcomes.

Effects of Valproic Acid and Dexamethasone Administration on Early Bio-Markers and Gene Expression Profile in Acute Kidney Ischemia-Reperfusion Injury in the Rat

Renal ischemia-reperfusion (IR) causes acute kidney injury (AKI) with high mortality and morbidity. The objective of this investigation was to ameliorate kidney IR injury and identify novel biomarkers for kidney injury and repair. Under general anesthesia, left renal ischemia was induced in Wister rats by occluding renal artery for 45 minutes, followed by reperfusion and right nephrectomy. Thirty minutes prior to ischemia, rats (n = 8/group) received Valproic Acid (150 mg/kg; VPA), Dexamethasone (3 mg/kg; Dex) or Vehicle (saline) intraperitoneally. Animals were sacrificed at 3, 24 or 120 h post-IR. Plasma creatinine (mg/dL) at 24 h was reduced (P<0.05) in VPA (2.7±1.8) and Dex (2.3±1.2) compared to Vehicle (3.8±0.5) group. At 3 h, urine albumin (mg/mL) was higher in Vehicle (1.47±0.10), VPA (0.84±0.62) and Dex (1.04±0.73) compared to naïve (uninjured/untreated control) (0.14±0.26) group. At 24 h post-IR urine lipocalin-2 (μg/mL) was higher (P<0.05) in VPA, Dex and Vehicle groups (9.61–11.36) compared to naïve group (0.67±0.29); also, kidney injury molecule-1 (KIM-1; ng/mL) was higher (P<0.05) in VPA, Dex and Vehicle groups (13.7–18.7) compared to naïve group (1.7±1.9). Histopathology demonstrated reduced (P<0.05) ischemic injury in the renal cortex in VPA (Grade 1.6±1.5) compared to Vehicle (Grade 2.9±1.1). Inflammatory cytokines IL1β and IL6 were downregulated and anti-apoptotic molecule BCL2 was upregulated in VPA group. Furthermore, kidney DNA microarray demonstrated reduced injury, stress, and apoptosis related gene expression in the VPA administered rats. VPA appears to ameliorate kidney IR injury via reduced inflammatory cytokine, apoptosis/stress related gene expression, and improved regeneration. KIM-1, lipocalin-2 and albumin appear to be promising early urine biomarkers for the diagnosis of AKI.

Patterns of Gene Expression Associated with Recovery and Injury in Heat-stressed Rats

BackgroundThe in vivo gene response associated with hyperthermia is poorly understood. Here, we perform a global, multiorgan characterization of the gene response to heat stress using an in vivo conscious rat model.ResultsWe heated rats until implanted thermal probes indicated a maximal core temperature of 41.8°C (Tc,Max). We then compared transcriptomic profiles of liver, lung, kidney, and heart tissues harvested from groups of experimental animals at Tc,Max, 24 hours, and 48 hours after heat stress to time-matched controls kept at an ambient temperature. Cardiac histopathology at 48 hours supported persistent cardiac injury in three out of six animals. Microarray analysis identified 78 differentially expressed genes common to all four organs at Tc,Max. Self-organizing maps identified gene-specific signatures corresponding to protein-folding disorders in heat-stressed rats with histopathological evidence of cardiac injury at 48 hours. Quantitative proteomics analysis by iTRAQ (isobaric tag for relative and absolute quantitation) demonstrated that differential protein expression most closely matched the transcriptomic profile in heat-injured animals at 48 hours. Calculation of protein supersaturation scores supported an increased propensity of proteins to aggregate for proteins that were found to be changing in abundance at 24 hours and in animals with cardiac injury at 48 hours, suggesting a mechanistic association between protein misfolding and the heat-stress response.ConclusionsPathway analyses at both the transcript and protein levels supported catastrophic deficits in energetics and cellular metabolism and activation of the unfolded protein response in heat-stressed rats with histopathological evidence of persistent heat injury, providing the basis for a systems-level physiological model of heat illness and recovery.

Microarray and Functional Cluster Analysis Implicates Transforming Growth Factor Beta1 in Endothelial Cell Dysfunction in a Swine Hemorrhagic Shock Model

BACKGROUND Trauma leading to massive hemorrhage results in widespread tissue hypoxia, anaerobic metabolism, and production of inflammatory cytokines and oxidative molecules injurious to the vascular endothelium. Although trauma-related endothelial cell pathophysiology has been extensively studied, very little is known regarding gene transcriptional changes that occur during the event, particularly in endothelia. Thus, we employed fluorescent microarray analysis of gene transcription to elucidate critical pathways and gene products involved in endothelial dysfunction. MATERIALS AND METHODS A trauma-hemorrhage/shock (T-H/S) model mimicking the physiologic changes seen in human trauma was performed on 10 Yorkshire swine, consisting of 35% blood volume hemorrhage followed by 6 h of full resuscitation. Aortic endothelium was analyzed by microarray and functional clusters were identified through the use of Database for Annotation, Visualization, and Integrated Discovery (DAVID) software. RESULTS Injured swine developed profound acidosis, coagulopathy, massive resuscitative fluid requirements, and microscopic changes of ischemia/reperfusion injury. While 1007 transcripts were down-regulated, 529 transcripts were up-regulated. DAVID functional clustering analysis revealed 21 significantly altered biological processes that were grouped into 12 distinct functional categories. The transforming growth factor beta (TGFβ) family of genes was the most interrelated. In addition, vascular endothelial growth factor (VEGF) signaling members and leukocyte chemoattractants were also altered. CONCLUSIONS Our model identified two major signaling pathways, TGFβ and VEGF, which undergo early transcriptional changes in injured endothelial cells. Our results suggest that TGFβ and VEGF may play a crucial role in the development of endothelial cell injury leading to increased vascular permeability during shock-trauma.