Paraoxonase 2 Facilitates Pancreatic Cancer Growth and Metastasis by Stimulating GLUT1-Mediated Glucose Transport.

Metabolic deregulation is a hallmark of human cancers, and the glycolytic and glutamine metabolism pathways were shown to be deregulated in pancreatic ductal adenocarcinoma (PDAC). To identify new metabolic regulators of PDAC tumor growth and metastasis, we systematically knocked down metabolic genes that were overexpressed in human PDAC tumor samples using short hairpin RNAs. We found that p53 transcriptionally represses paraoxonase 2 (PON2), which regulates GLUT1-mediated glucose transport via stomatin. The loss of PON2 initiates the cellular starvation response and activates AMP-activated protein kinase (AMPK). In turn, AMPK activates FOXO3A and its transcriptional target, PUMA, which induces anoikis to suppress PDAC tumor growth and metastasis. Pharmacological or genetic activation of AMPK, similar to PON2 inhibition, blocks PDAC tumor growth. Collectively, our results identify PON2 as a new modulator of glucose transport that regulates a pharmacologically tractable pathway necessary for PDAC tumor growth and metastasis.

Massively parallel discovery of human-specific substitutions that alter enhancer activity.

Genetic changes that altered the function of gene regulatory elements have been implicated in the evolution of human traits such as the expansion of the cerebral cortex. However, identifying the particular changes that modified regulatory activity during human evolution remain challenging. Here we used massively parallel enhancer assays in neural stem cells to quantify the functional impact of >32,000 human-specific substitutions in >4,300 human accelerated regions (HARs) and human gain enhancers (HGEs), which include enhancers with novel activities in humans. We found that >30% of active HARs and HGEs exhibited differential activity between human and chimpanzee. We isolated the effects of human-specific substitutions from background genetic variation to identify the effects of genetic changes most relevant to human evolution. We found that substitutions interacted in both additive and nonadditive ways to modify enhancer function. Substitutions within HARs, which are highly constrained compared to HGEs, showed smaller effects on enhancer activity, suggesting that the impact of human-specific substitutions is buffered in enhancers with constrained ancestral functions. Our findings yield insight into how human-specific genetic changes altered enhancer function and provide a rich set of candidates for studies of regulatory evolution in humans.

Validation of a targeted metabolomics panel for improved second-tier newborn screening.

Improved second-tier assays are needed to reduce the number of false positives in newborn screening (NBS) for inherited metabolic disorders including those on the Recommended Uniform Screening Panel (RUSP). We developed an expanded metabolite panel for second-tier testing of dried blood spot (DBS) samples from screen-positive cases reported by the California NBS program, consisting of true- and false-positives from four disorders: glutaric acidemia type I (GA1), methylmalonic acidemia (MMA), ornithine transcarbamylase deficiency (OTCD), and very long-chain acyl-CoA dehydrogenase deficiency (VLCADD). This panel was assembled from known disease markers and new features discovered by untargeted metabolomics and applied to second-tier analysis of single DBS punches using liquid chromatography-tandem mass spectrometry (LC-MS/MS) in a 3-min run. Additionally, we trained a Random Forest (RF) machine learning classifier to improve separation of true- and false positive cases. Targeted metabolomic analysis of 121 analytes from DBS extracts in combination with RF classification at a sensitivity of 100% reduced false positives for GA1 by 83%, MMA by 84%, OTCD by 100%, and VLCADD by 51%. This performance was driven by a combination of known disease markers (3-hydroxyglutaric acid, methylmalonic acid, citrulline, and C14:1), other amino acids and acylcarnitines, and novel metabolites identified to be isobaric to several long-chain acylcarnitine and hydroxy-acylcarnitine species. These findings establish the effectiveness of this second-tier test to improve screening for these four conditions and demonstrate the utility of supervised machine learning in reducing false-positives for conditions lacking clearly discriminating markers, with future studies aimed at optimizing and expanding the panel to additional disease targets.

Metabolic diversity in human populations and correlation with genetic and ancestral geographic distances.

DNA polymorphic markers and self-defined ethnicity groupings are used to group individuals with shared ancient geographic ancestry. Here we studied whether ancestral relationships between individuals could be identified from metabolic screening data reported by the California newborn screening (NBS) program. NBS data includes 41 blood metabolites measured by tandem mass spectrometry from singleton babies in 17 parent-reported ethnicity groupings. Ethnicity-associated differences identified for 71% of NBS metabolites (29 of 41, Cohen's d > 0.5) showed larger differences in blood levels of acylcarnitines than of amino acids (P < 1e-4). A metabolic distance measure, developed to compare ethnic groupings based on metabolic differences, showed low positive correlation with genetic and ancient geographic distances between the groups' ancestral world populations. Several outlier group pairs were identified with larger genetic and smaller metabolic distances (Black versus White) or with smaller genetic and larger metabolic distances (Chinese versus Japanese) indicating the influence of genetic and of environmental factors on metabolism. Using machine learning, comparison of metabolic profiles between all pairs of ethnic groupings distinguished individuals with larger genetic distance (Black versus Chinese, AUC = 0.96), while genetically more similar individuals could not be separated metabolically (Hispanic versus Native American, AUC = 0.51). Additionally, we identified metabolites informative for inferring metabolic ancestry in individuals from genetically similar populations, which included biomarkers for inborn metabolic disorders (C10:1, C12:1, C3, C5OH, Leucine-Isoleucine). This work sheds new light on metabolic differences in healthy newborns in diverse populations, which could have implications for improving genetic disease screening.

The population genetics characteristics of a 90 locus panel of microhaplotypes.

Single-nucleotide polymorphisms (SNPs) and small genomic regions with multiple SNPs (microhaplotypes, MHs) are rapidly emerging as novel forensic investigative tools to assist in individual identification, kinship analyses, ancestry inference, and deconvolution of DNA mixtures. Here, we analyzed information for 90 microhaplotype loci in 4009 individuals from 79 world populations in 6 major biogeographic regions. The study included multiplex microhaplotype sequencing (mMHseq) data analyzed for 524 individuals from 16 populations and genotype data for 3485 individuals from 63 populations curated from public repositories. Analyses of the 79 populations revealed excellent characteristics for this 90-plex MH panel for various forensic applications achieving an overall average effective number of allele values (Ae) of 4.55 (range 1.04-19.27) for individualization and mixture deconvolution. Population-specific random match probabilities ranged from a low of 10-115 to a maximum of 10-66. Mean informativeness (In) for ancestry inference was 0.355 (range 0.117-0.883). 65 novel SNPs were detected in 39 of the MHs using mMHseq. Of the 3018 different microhaplotype alleles identified, 1337 occurred at frequencies > 5% in at least one of the populations studied. The 90-plex MH panel enables effective differentiation of population groupings for major biogeographic regions as well as delineation of distinct subgroupings within regions. Open-source, web-based software is available to support validation of this technology for forensic case work analysis and to tailor MH analysis for specific geographical regions.

Ethnic variability in newborn metabolic screening markers associated with false-positive outcomes.

Newborn screening (NBS) programmes utilise information on a variety of clinical variables such as gestational age, sex, and birth weight to reduce false-positive screens for inborn metabolic disorders. Here we study the influence of ethnicity on metabolic marker levels in a diverse newborn population. NBS data from screen-negative singleton babies (n = 100 000) were analysed, which included blood metabolic markers measured by tandem mass spectrometry and ethnicity status reported by the parents. Metabolic marker levels were compared between major ethnic groups (Asian, Black, Hispanic, White) using effect size analysis, which controlled for group size differences and influence from clinical variables. Marker level differences found between ethnic groups were correlated to NBS data from 2532 false-positive cases for four metabolic diseases: glutaric acidemia type 1 (GA-1), methylmalonic acidemia (MMA), ornithine transcarbamylase deficiency (OTCD), and very long-chain acyl-CoA dehydrogenase deficiency (VLCADD). In the result, 79% of the metabolic markers (34 of 43) had ethnicity-related differences. Compared to the other groups, Black infants had elevated GA-1 markers (C5DC, Cohen's d = .37, P < .001), Hispanics had elevated MMA markers (C3, Cohen's d = .13, P < .001, and C3/C2, Cohen's d = .27, P < .001); and Whites had elevated VLCADD markers (C14, Cohen's d = .28, P < .001, and C14:1, Cohen's d = .22, P < .001) and decreased OTCD markers (citrulline, Cohen's d = -.26, P < .001). These findings correlated with the higher false-positive rates in Black infants for GA-1, in Hispanics for MMA, and in Whites for OTCD and for VLCADD. Web-based tools are available to analyse ethnicity-related changes in newborn metabolism and to support developing methods to identify false-positives in metabolic screening.

Combining newborn metabolic and DNA analysis for second-tier testing of methylmalonic acidemia.

PURPOSE: Improved second-tier tools are needed to reduce false-positive outcomes in newborn screening (NBS) for inborn metabolic disorders on the Recommended Universal Screening Panel (RUSP). METHODS: We designed an assay for multiplex sequencing of 72 metabolic genes (RUSPseq) from newborn dried blood spots. Analytical and clinical performance was evaluated in 60 screen-positive newborns for methylmalonic acidemia (MMA) reported by the California Department of Public Health NBS program. Additionally, we trained a Random Forest machine learning classifier on NBS data to improve prediction of true and false-positive MMA cases. RESULTS: Of 28 MMA patients sequenced, we found two pathogenic or likely pathogenic (P/LP) variants in a MMA-related gene in 24 patients, and one pathogenic variant and a variant of unknown significance (VUS) in 1 patient. No such variant combinations were detected in MMA false positives and healthy controls. Random Forest-based analysis of the entire NBS metabolic profile correctly identified the MMA patients and reduced MMA false-positive cases by 51%. MMA screen-positive newborns were more likely of Hispanic ethnicity. CONCLUSION: Our two-pronged approach reduced false positives by half and provided a reportable molecular finding for 89% of MMA patients. Challenges remain in newborn metabolic screening and DNA variant interpretation in diverse multiethnic populations.

Enhanced serotonin signaling stimulates ordered intestinal mucosal growth.

BACKGROUND: Significant quantities of serotonin (5-hydroxytryptamine; 5-HT) are found in the intestine, and studies have demonstrated that 5-HT can stimulate enterocyte cell division, suggesting regulatory roles in mucosal homeostasis and intestinal adaptation. We hypothesized that excess enteric 5-HT signaling enhances mucosal growth without changing intestinal villous cellular makeup. METHODS: Mice lacking the serotonin reuptake transporter (SERT) and wild-type littermates (WTLM) were euthanized and their ileum analyzed. Villus height (VH), crypt depth (CD), and enterocyte height (EH) were measured. Enterocyte cell division was measured using Ki-67 immunofluorescence to calculate crypt proliferation index (CPI). Cellular distribution along villi was investigated by immunofluorescent staining for enterocytes, enteroendocrine cells, and goblet cells. Group measurements were compared using t-test and chi-squared test. RESULTS: SERT knock-out (SERTKO) mice had significantly taller villi, deeper crypts, and taller enterocytes compared with WTLM (P < 0.0001). Similarly, enterocyte proliferation was greater in SERTKO compared with WTLM (P < 0.01). For SERTKO, mean values were: VH, 255.6 µm; CD, 66.7 µm; EH, 21.2 µm; and CPI, 52.8%. For WTLM, corresponding values were: VH, 207.8 µm; CD, 56.1 µm; EH, 19.5 µm; and CPI, 31.9%. The cellular composition along villi was not significantly different between genotypes (P > 0.05). CONCLUSIONS: Enhancing 5-HT signaling in mice increases VH, CD, EH, and crypt cell proliferation in the intestinal mucosa. 5-HT-associated growth did not alter the cellular composition of the villi. Serotonin may represent an important physiologic regulator of intestinal growth and adaptation and holds promise as a target for therapies aimed at enhancing intestinal recovery after injury or mucosal surface area loss.

Accurate assessment of bowel length: the method of measurement matters.

PURPOSE: Small intestinal length has prognostic significance for patients with short bowel syndrome, and accurate measurement of Roux-en-Y limbs is considered important. The flexible elasticity of bowel makes its measurement highly subjective, yet a recommended method for intestinal measurement allowing accurate comparisons between surgeons remains undefined. Measurement of intestinal length has been described, but no comparison of the fidelity of measurement technique has been made. We hypothesized that silk suture and umbilical tape would yield the most consistent measurements. METHODS: This institutional review board-approved prospective trial enrolled 12 volunteer surgeons and two Institutional Animal Care and Use Committee-donated rabbits. Participants were asked to measure short, medium, and long segments of small intestine in a euthanized rabbit using common operating room tools: 18-in silk suture, 75-cm umbilical tape, 15-cm straight ruler, laparoscopic Dorsey bowel graspers. Data were analyzed by analysis of variance repeated measures model. RESULTS: Over short segments, intestinal measurements by grasper were significantly shorter than those by tape (P = 0.002) and ruler (P = 0.039). Over medium lengths of bowel, measurements by grasper were significantly shorter than those by suture (P = 0.032) and tape (P = 0.046), and measurements by ruler also were significantly shorter than those by suture (P = 0.008). Over the long intestinal segment, measurements by ruler resulted in the greatest variability, and comparison of variance across all possible pairs of groups found significant difference by method of measurement (P = 0.049). There was a significant difference in measurements taken along the mesenteric border compared with those taken along the antimesenteric border (P = 0.001). CONCLUSIONS: Measurement technique along short segments matters less; however, rigid tools underestimate length, and smaller variances in measurement by silk suture and umbilical tape suggest that these methods are more reliable across longer distances.

Enhanced serotonin signaling increases intestinal neuroplasticity.

BACKGROUND: The intestinal mucosa recovers from injury by accelerating enterocyte proliferation resulting in villus growth. A similar phenomenon is seen after massive bowel resection. Serotonin (5-HT) has been implicated as an important regulator of mucosal homeostasis by promoting growth in the epithelium. The impact of 5-HT on other components of growing villi is not known. We hypothesized that 5-HT-stimulated growth in the intestinal epithelium would be associated with growth in other components of the villus such as enteric neural axonal processes. MATERIALS AND METHODS: Enteric serotonergic signaling is inactivated by the serotonin reuptake transporter, or SERT, molecule. Enhanced serotonin signaling was achieved via SERT knockout (SERTKO) and administration of selective serotonin reuptake inhibitors (SSRI) to wild-type mice (WT-SSRI). 5-HT synthesis inhibition was achieved with administration of 4-chloro-L-phenylalanine (PCPA). Intestinal segments from age-matched WT, SERTKO, WT-SSRI, and corresponding PCPA-treated animals were assessed via villus height, crypt depth, and crypt proliferation. Gap 43, a marker of neuroplasticity, was assessed via immunofluorescence and Western blot. RESULTS: SERTKO and WT-SSRI mice had taller villi, deeper crypts, and increased enterocyte proliferation compared with WT mice. Gap 43 expression via immunofluorescence was significantly increased in SERTKO and WT-SSRI samples, as well as in Western blot analysis. PCPA-treated SERTKO and WT-SSRI animals demonstrated reversal of 5-HT-induced growth and Gap 43 expression. CONCLUSIONS: Enhanced 5-HT signaling results in intestinal mucosal growth in both the epithelial cell compartment and the enteric nervous system. Furthermore, 5-HT synthesis inhibition resulted in reversal of effects, suggesting that 5-HT is a critically important regulator of intestinal mucosal growth and neuronal plasticity.

The Arabidopsis leaf provascular cell transcriptome is enriched in genes with roles in vein patterning.

Several classes of genes have been associated, by mutant phenotypes or cell biology, with the formation of vein patterns during early leaf development, including genes for certain transcription factors, auxin transport and response factors, endomembrane traffic components and other signaling pathway components. The majority of these are expressed with spatial and temporal specificity that includes expression in the precursors of vascular cells - provascular (PV) and procambial (PC) cells - suggesting that other PV/PC-specific genes might have roles in vein patterning. We inventoried the PV/PC transcriptome of Arabidopsis leaves using a combination of laser microdissection and microarray expression profiling, and determined the phenotypes of knock-outs of previously uncharacterized PV/PC-specific genes. As examples, we observed vein pattern defects in knock-out lines of KEG and a CCCH zinc finger protein. This strategy of gene discovery, based on the identification of a gene set co-expressed in the same cells during the targeted developmental event, appears to be an efficient means of identifying genes functionally relevant to the event. In the case of vein patterning, this strategy would have identified many or most of the genes previously obtained by labor-intensive screening for pattern-defective mutants.

Developmental dynamics of Kranz cell transcriptional specificity in maize leaf reveals early onset of C4-related processes.

The comparison of the cell-specific transcriptomes of bundle sheath (BS) and mesophyll (M) cells from successive developmental stages of maize (Zea mays) leaves reveals that the number of genes preferentially transcribed in one cell type or the other varies considerably from the sink-source transition to mature photosynthetic stages. The number of differentially expressed (DE) genes is maximal at a stage well before full maturity, including those that encode key functions for C4 photosynthesis. The developmental dynamics of BS/M differential expression can be used to identify candidates for other C4-related functions and to simplify the identification of specific pathways members from otherwise complex gene families. A significant portion of the candidates for C4-related transcription factors identified with this developmental DE strategy overlap with those identified in studies using alternative strategies, thus providing independent support for their potential importance.

Basic peptide-morpholino oligomer conjugate that is very effective in killing bacteria by gene-specific and nonspecific modes.

Basic peptides covalently linked to nucleic acids, or chemically modified nucleic acids, enable the insertion of such a conjugate into bacteria grown in liquid medium and mammalian cells in tissue culture. A unique peptide, derived from human T cells, has been employed in a chemical synthesis to make a conjugate with a morpholino oligonucleotide. This new conjugate is at least 10- to 100-fold more effective than previous peptides used in altering the phenotype of host bacteria if the external guide sequence methodology is employed in these experiments. Bacteria with target genes expressing chloramphenicol resistance, penicillin resistance, or gyrase A function can effectively be reduced in their expression and the host cells killed. Several bacteria are susceptible to this treatment, which has a broad range of potency. The loss in viability of bacteria is not due only to complementarity with a target RNA and the action of RNase P, but also to a non-gene-specific tight binding of the complexed nontargeted RNA to the basic polypeptide-morpholino oligonucleotide.

Nucleic Acid Quantification by Multi-Frequency Impedance Cytometry and Machine Learning.

Determining nucleic acid concentrations in a sample is an important step prior to proceeding with downstream analysis in molecular diagnostics. Given the need for testing DNA amounts and its purity in many samples, including in samples with very small input DNA, there is utility of novel machine learning approaches for accurate and high-throughput DNA quantification. Here, we demonstrated the ability of a neural network to predict DNA amounts coupled to paramagnetic beads. To this end, a custom-made microfluidic chip is applied to detect DNA molecules bound to beads by measuring the impedance peak response (IPR) at multiple frequencies. We leveraged electrical measurements including the frequency and imaginary and real parts of the peak intensity within a microfluidic channel as the input of deep learning models to predict DNA concentration. Specifically, 10 different deep learning architectures are examined. The results of the proposed regression model indicate that an R_Squared of 97% with a slope of 0.68 is achievable. Consequently, machine learning models can be a suitable, fast, and accurate method to measure nucleic acid concentration in a sample. The results presented in this study demonstrate the ability of the proposed neural network to use the information embedded in raw impedance data to predict the amount of DNA concentration.

A systems biology approach identifies the role of dysregulated PRDM6 in the development of hypertension.

Genetic variants in the third intron of the PRDM6 gene have been associated with BP traits in multiple GWAS. By combining fine mapping, massively parallel reporter assays, and gene editing, we identified super enhancers that drive the expression of PRDM6 and are partly regulated by STAT1 as the causal variants for hypertension. The heterozygous disruption of Prdm6 in mice expressing Cre recombinase under the control of mouse smooth muscle cell protein 22-α promoter (Prdm6fl/+ SM22-Cre) exhibited a markedly higher number of renin-producing cells in the kidneys at E18.5 compared with WT littermates and developed salt-induced systemic hypertension that was completely responsive to the renin inhibitor aliskiren. Strikingly, RNA-Seq analysis of the mouse aortas identified a network of PRDM6-regulated genes that are located in GWAS-associated loci for blood pressure, most notably Sox6, which modulates renin expression in the kidney. Accordingly, the smooth muscle cell-specific disruption of Sox6 in Prdm6fl/+ SM22-Cre mice resulted in a dramatic reduction of renin. Fate mapping and histological studies also showed increased numbers of neural crest-derived cells accompanied by increased collagen deposition in the kidneys of Prdm6fl/+ Wnt1Cre-ZsGreen1Cre mice compared with WT mice. These findings establish the role of PRDM6 as a regulator of renin-producing cell differentiation into smooth muscle cells and as an attractive target for the development of antihypertensive drugs.

A multipurpose panel of microhaplotypes for use with STR markers in casework.

A small panel of highly informative loci that can be genotyped on the same equipment as the standard CODIS short tandem repeat (STR) markers has strong potential for application in forensic casework. Single nucleotide polymorphisms (SNPs) can be typed by a couple of methods on capillary electrophoresis (CE) machines and on sequencers, but the amount of information relative to the laboratory effort has hindered use of SNPs in actual casework. Insertion-deletion markers (InDels) suffer from similar problems. Microhaplotypes (MHs) are much more informative per locus but have similar technical difficulties unless they are typed by massively parallel sequencing (MPS). As forensic labs are acquiring sequencing machines, MHs become more likely to be used in casework, especially if multiplexed with STRs. Here we present the details of a multipurpose panel of 24 MHs with the highest effective number of alleles (Ae) from previous work. An augmented STR panel of 24 loci (20 CODIS markers plus four commonly typed STRs) is also considered. The Ae and ancestry informativeness (In) distributions of these two datasets are compared. The MH panel is shown to have better individualization and population distinction than the augmented CODIS STRs. We note that the 24 MHs should be better for mixture analyses than the STRs. Finally, we suggest that a commercial kit including both the standard CODIS markers and this set of 24 MH would greatly improve the discrimination power over that of current commercial assays.

Laser microdissection of plant tissue: what you see is what you get.

Laser microdissection (LM) utilizes a cutting or harvesting laser to isolate specific cells from histological sections; the process is guided by microscopy. This provides a means of removing selected cells from complex tissues, based only on their identification by microscopic appearance, location, or staining properties (e.g., immunohistochemistry, reporter gene expression, etc.). Cells isolated by LM can be a source of cell-specific DNA, RNA, protein or metabolites for subsequent evaluation of DNA modifications, transcript/protein/metabolite profiling, or other cell-specific properties that would be averaged with those of neighboring cell types during analysis of undissected complex tissues. Plants are particularly amenable to the application of LM; the highly regular tissue organization and stable cell walls of plants facilitate the visual identification of most cell types even in unstained tissue sections. Plant cells isolated by LM have been the starting point for a variety of genomic and metabolite studies of specific cell types.

Multi-frequency impedance sensing for detection and sizing of DNA fragments.

Electronic biosensors for DNA detection typically utilize immobilized oligonucleotide probes on a signal transducer, which outputs an electronic signal when target molecules bind to probes. However, limitation in probe selectivity and variable levels of non-target material in complex biological samples can lead to nonspecific binding and reduced sensitivity. Here we introduce the integration of 2.8 µm paramagnetic beads with DNA fragments. We apply a custom-made microfluidic chip to detect DNA molecules bound to beads by measuring Impedance Peak Response (IPR) at multiple frequencies. Technical and analytical performance was evaluated using beads containing purified Polymerase Chain Reaction (PCR) products of different lengths (157, 300, 613 bp) with DNA concentration ranging from 0.039 amol to 7.8 fmol. Multi-frequency IPR correlated positively with DNA amounts and was used to calculate a DNA quantification score. The minimum DNA amount of a 300 bp fragment coupled on beads that could be robustly detected was 0.0039 fmol (1.54 fg or 4750 copies/bead). Additionally, our approach allowed distinguishing beads with similar molar concentration DNA fragments of different lengths. Using this impedance sensor, purified PCR products could be analyzed within ten minutes to determine DNA fragment length and quantity based on comparison to a known DNA standard.

VH1/BRL2 receptor-like kinase interacts with vascular-specific adaptor proteins VIT and VIK to influence leaf venation.

VH1/BRL2 is a receptor-like kinase of the BRI1 family with a role in vascular development. In developing Arabidopsis leaves it is expressed first in ground cells and then becomes restricted to provascular and procambial cells as venation forms. We isolated proteins interacting with the activated (phosphorylated) cytoplasmic domain of VH1/BRL2, and found that most belong to three processes: proteasome activity, vesicle traffic and intracellular signal transduction. Two adaptor proteins are included that we named VIT [VH1-interacting tetratricopeptide repeat (TPR)-containing protein] and VIK (VH1-interacting kinase), which are co-expressed in the same cells as VH1/BRL2 at two distinct time points in vein differentiation. Mutation of either adaptor or of VH1 results in vein pattern defects and in alterations in response to auxin and brassinosteroids. We propose that these two adaptors facilitate the diversification and amplification of a ligand signal perceived by VH1/BRL2 in multiple downstream pathways affecting venation.

Plant cell types: reporting and sampling with new technologies.

Plants have relatively few cell types, but their specialized functions and their interactions are essential for physiology, development, and defense. The contributions of individual cells have been distinguished by methods including in situ reporting, cell sampling, and cell separation, thus far mostly limited to measurement of single transcripts, proteins, or metabolites. Advances in transcriptomics, proteomics, metabolomics, and activity assays with small samples and in the modeling of these data into networks of expression, regulation, interaction, and metabolism make it possible to evaluate the roles of cell types at system levels. Recent analyses include cell types of developing roots, bundle sheath and mesophyll cells of C4-type leaves, xylem and phloem cells of vascular systems, and specialized regions of embryos and shoot apices.