Defining the risks of mesenchymal stromal cell therapy

We address the issue of the potential for malignant transformation of cultured mesenchymal stromal cells (MSC) commonly used in clinical cell-therapy protocols and describe the culture conditions under which tumorigenesis is likely to be an extremely uncommon event.     

Potential use of stem cells from bone marrow to repair the extracellular matrix and the central nervous system

A subset of stem-like cells from bone marrow that are referred to as marrow stromal cells (MSCs) have been shown to be capable of differentiating into osteoblasts, chondrocytes, adipocytes, myocytes, astrocytes and perhaps neurons. Recently, conditions have been developed where human MSCs can be expanded almost without limit in culture without apparently losing their multipotentiality for differentiation. The cells appear to be potentially useful for the repair of extracellular matrix and the central nervous system.     

Gibberellin A(3) Is Biosynthesized from Gibberellin A(20) via Gibberellin A(5) in Shoots of Zea mays L

[17-¹³C,³H]-Labeled gibberellin A₂₀ (GA₂₀), GA₅, and GA₁ were fed to homozygous normal (+/+), heterozygous dominant dwarf (D8/+), and homozygous dominant dwarf (D8/D8) seedlings of Zea mays L. (maize). ¹³C-Labeled GA₂₉, GA₈, GA₅, GA₁, and 3-epi-GA₁, as well as unmetabolized [¹³C]GA₂₀, were identified by gas chromatography-selected ion monitoring (GC-SIM) from feeds of [17-¹³C, ³H]GA₂₀ to all three genotypes. ¹³C-Labeled GA₈ and 3-epi-G₁, as well as unmetabolized [¹³C]GA₁, were identified by GC-SIM from feeds of [17-¹³C, ³H]GA₁ to all three genotypes. From feeds of [17-¹³C, ³H]GA₅, ¹³C-labeled GA₃ and the GA₃-isolactone, as well as unmetabolized [¹³C]GA₅, were identified by GC-SIM from +/+ and D8/D8, and by full scan GC-MS from D8/+. No evidence was found for the metabolism of [17-¹³C, ³H]GA₅ to [¹³C]GA₁, either by full scan GC-mass spectrometry or by GC-SIM. The results demonstrate the presence in maize seedlings of three separate branches from GA₂₀, as follows: (a) GA₂₀ → GA₁ → GA₈; (b) GA₂₀ → GA₅ → GA₃; and (c) GA₂₀ → GA₂₉. The in vivo biogenesis of GA₃ from GA₅, as well as the origin of GA₅ from GA₂₀, are conclusively established for the first time in a higher plant (maize shoots).     

The 2012/2013 ABRF Proteomic Research Group Study: Assessing Longitudinal Intralaboratory Variability in Routine Peptide Liquid Chromatography Tandem Mass Spectrometry Analyses*

Questions concerning longitudinal data quality and reproducibility of proteomic laboratories spurred the Protein Research Group of the Association of Biomolecular Resource Facilities (ABRF-PRG) to design a study to systematically assess the reproducibility of proteomic laboratories over an extended period of time. Developed as an open study, initially 64 participants were recruited from the broader mass spectrometry community to analyze provided aliquots of a six bovine protein tryptic digest mixture every month for a period of nine months. Data were uploaded to a central repository, and the operators answered an accompanying survey. Ultimately, 45 laboratories submitted a minimum of eight LC-MSMS raw data files collected in data-dependent acquisition (DDA) mode. No standard operating procedures were enforced; rather the participants were encouraged to analyze the samples according to usual practices in the laboratory. Unlike previous studies, this investigation was not designed to compare laboratories or instrument configuration, but rather to assess the temporal intralaboratory reproducibility. The outcome of the study was reassuring with 80% of the participating laboratories performing analyses at a medium to high level of reproducibility and quality over the 9-month period. For the groups that had one or more outlying experiments, the major contributing factor that correlated to the survey data was the performance of preventative maintenance prior to the LC-MSMS analyses. Thus, the Protein Research Group of the Association of Biomolecular Resource Facilities recommends that laboratories closely scrutinize the quality control data following such events. Additionally, improved quality control recording is imperative. This longitudinal study provides evidence that mass spectrometry-based proteomics is reproducible. When quality control measures are strictly adhered to, such reproducibility is comparable among many disparate groups. Data from the study are available via ProteomeXchange under the accession code PXD002114.The broad-reaching use and application of mass spectrometry-based proteomics in the international research community continues to exponentially grow and expand. As the technology has developed and practitioners have become skilled in performing complex workflows, the community has not only gained interest in assessing data across laboratories but also in maintaining consistent quality control within a laboratory. Koecher et al. raised the issue of quality control measures and how this aspect of mass spectrometry-based proteomics is generally neglected in scientific publications (1). Fortunately, studies characterizing the stability of liquid chromatography-tandem MS (LC-MSMS)¹ quality control performance among numerous laboratories are emerging. The relationship between sample preparation schemes, data acquisition and reduction strategies, and bioinformatic analyses have been comprehensively reviewed by Tabb (2).Several studies exist where intra- and interlaboratory reproducibility between multiple sites has been assessed under different settings. Perhaps the most systematic and detailed of these investigations are from the Human Proteome Organization (HuPO) test sample working group (3); the National Cancer Institute Clinical Proteomic Tumor Analysis Consortium (NCI CPTAC) (4); and the ProteoRed Consortium (5, 6). The HuPO group utilized an equimolar mixture of 20 highly purified recombinant human proteins (5 pmol per protein) distributed to 27 different laboratories and analyzed without constraint according to optimized LCMS and database search protocols from each of the laboratories (3). The study was not an assessment of instrument performance for highly sensitive detection of proteins, as all participating laboratories had acquired raw data of sufficient quality to identify all 20 proteins (and a specific subset of tryptic peptides). The study revealed, however, that discrepancies in peptide identification and protein assignment were the result of differences in data analysis strategies rather than data collection.The NCI CPTAC group used a standardized Saccharomyces cerevisiae proteome digest that was analyzed on ion-trap-based LCMS platforms in five independent laboratories according to both an established standard operating procedure (SOP) and with no SOP constraint (4). All data analysis was centralized, and thus, any observed variations were entirely because of the LCMS platform. By applying the performance metrics developed by Rudnick et al. (7), several key points emerged: (1) as expected, intralaboratory variation was less than interlaboratory variation; and (2) overall, the interlaboratory variation in peptide identifications and some of the other performance metrics were comparable between instruments, although there were large differences in the average values for some metrics (e.g. MS1 signal intensity, dynamic sampling).The ProteoRed Consortium initiated the ProteoRed Multicenter Experiment for Quality Control (PMEQC) (5, 6). This longitudinal QC multicenter study involved 12 institutes, and was designed to assess: (1) intralaboratory repeatability of LC-MSMS proteomic data; (2) interlaboratory reproducibility; and (3) reproducibility across multiple instrument platforms. Participants received samples of undigested or tryptically digested yeast proteins and were requested to follow strict analytical guidelines. Data analysis was centralized and performed under standard procedures using a common workflow. The study revealed that the overall performance with respect to metrics such as reproducibility, sensitivity, dynamic range etc. was directly related to the degree of operator expertise, and less dependent on instrumentation.Several studies not specifically focused on quality control have also yielded insight into proteomic reproducibility. The HuPO plasma proteome project (HuPO PPP) distributed 20 human samples (five serum plus 3 × 5 plasma samples treated with three different anticoagulants) to 35 laboratories spanning 13 countries (8). The purpose of this large-scale study was not to assess reproducibility per se, but rather to generate the largest and most comprehensive data set on the protein composition of human plasma/serum. On a smaller scale, the ISB standard 18 protein mixture (purified proteins from cow, horse, rabbit, chicken, E. coli, and B. licheniformus) was also assessed between laboratories on eight different LCMS platforms (9). These data reside in a comprehensive, multiplatform database as a resource for the proteomic community. Additional interlaboratory assessments have consisted of multiple reaction monitoring-based measurements of peptides/proteins in plasma (10, 11) and protein–protein interactions at both the biochemical and proteomic level (12).For team leaders/directors of proteomic laboratories and any researcher collaborating with such groups, major questions that may arise concerning data consistency are: how well are quality controls being implemented in the daily operations? Do the quality control measures effectively support data reproducibility? To address this, the Protein Research Group of the Association of Biomolecular Resource Facilities (ABRF-PRG) designed a study whereby LC-MSMS data obtained from the analysis of a commercially available bovine protein mixture predigested with trypsin were collected at routine intervals over a period of 9 months. Raw MS data files from a total of 64 participating laboratories were accumulated, and HPLC and MS performance were evaluated through QC metrics (13). The main impetus of the study was to recognize key sources of variability in HPLC and MS analyses under extended and routine operating conditions for each laboratory and to catalog the state of quality control in a diverse set of proteomic laboratories.No standard operating protocol was imposed on the participants; instead, contributors were encouraged to employ the methods that were typically applied in individual laboratories. Optimization of instrument methods on the provided sample was discouraged. A survey was conducted with each sample submission to catalog individual laboratory practices, instrument configurations, acquisition settings, including routine and nonroutine maintenance procedures. Unlike previous investigations where emphasis was placed on the preparation, distribution, and evaluation of protein standards to appraise and/or standardize LCMS platforms between laboratories, the key interest in this study was purely to determine the intralaboratory performance, reproducibility, and consistency of participating laboratories over an extended period of time.The rapidly expanding number of proteomic laboratories have incorporated divergent HPLC systems, mass spectrometers, solvent systems, columns etc. As a result, analyzing data from a large number of laboratories necessitates tools that can accommodate data from a broad range of platforms. For example, to expect a small laboratory with a decade-old three-dimensional ion trap mass spectrometer to achieve the same sensitivity as a laboratory with a high-resolution hybrid instrument would be unfair. Correspondingly, the data analysis needs to include axes beyond simple peptide-level sensitivity. Nevertheless, the laboratory with the older instrumentation may be consistently better at maximizing performance from the chosen instrument platform compared with a laboratory with the latest high-end equipment.The focus of this study was to estimate the degree of variability in intralaboratory performance over a 9-month period. This goal was achieved using quality metrics that are applicable to most LC-MSMS workflows. The inclusion of data from many laboratories will enable the proteomic community to determine the current state of quality control within a typical laboratory. The survey data enabled the mapping of some alterations in instrument performance to documented laboratory events, e.g. mass spectrometer calibration. The study was designed neither to compare one laboratory with another, nor to discriminate between classes of instrumentation.Questions of data quality and performance in the proteomic community are appropriately aligned with the heightened awareness of a perceived lack of reproducibility of scientific findings in general (1). This community has endeavored to provide tools to assess proteomic data quality, and this study provides additional insight into the application of such tools and the quality of data within respective laboratories.     

Monolayer formation of human osteoblastic cells on vertically aligned multiwalled carbon nanotube scaffolds

Monolayer formation of SaOS‐2 (human osteoblast‐like cells) was observed on VACNT (vertically aligned multiwalled carbon nanotubes) scaffolds without purification or functionalization. The VACNT were produced by a microwave plasma chemical vapour deposition on titanium surfaces with nickel or iron as catalyst. Cell viability and morphology studies were evaluated by LDH (lactate dehydrogenase) release assay and SEM (scanning electron microscopy), respectively. The non‐toxicity and the flat spreading with monolayer formation of the SaOs‐2 on VACNT scaffolds surface indicate that they can be used for biomedical applications.     

The citrus fruit proteome: insights into citrus fruit metabolism

Fruit development and ripening are key processes in the production of the phytonutrients that are essential for a balanced diet and for disease prevention. The pathways involved in these processes are unique to plants and vary between species. Climacteric fruit ripening, especially in tomato, has been extensively studied; yet, ripening of non-climacteric fruit is poorly understood. Although the different species share common pathways; developmental programs, physiological, anatomical, biochemical composition and structural differences must contribute to the operation of unique pathways, genes and proteins. Citrus has a non-climacteric fruit ripening behavior and has a unique anatomical fruit structure. For the last few years a citrus genome-wide ESTs project has been initiated and consists of 222,911 clones corresponding to 19,854 contigs and 37,138 singletons. Taking advantage of the citrus database we analyzed the citrus proteome. Using LC-MS/MS we analyzed soluble and enriched membrane fractions of mature citrus fruit to identify the proteome of fruit juice cells. We have identified ca. 1,400 proteins from these fractions by searching NCBI-nr (green plants) and citrus ESTs databases, classified these proteins according to their putative function and assigned function according to known biosynthetic pathways.     

Proteomic characterization of human milk whey proteins during a twelve-month lactation period

Human milk is a rich source of bioactive proteins that support the early growth and development of the newborn. Although the major components of the protein fraction in human milk have been studied, the expression and relative abundance of minor components have received limited attention. We examined the expression of low-abundance proteins in the whey fraction of human milk and their dynamic changes over a twelve-month lactation period. The low-abundance proteins were enriched by ProteoMiner beads, and protein identification was performed by liquid chromatography tandem mass spectrometry. One hundred and fifteen proteins were identified, thirty-eight of which have not been previously reported in human colostrum or milk. We also for the first time described differences in protein patterns among the low-abundance proteins during lactation. These results enhance our knowledge about the complexity of the human milk proteome, which constitutes part of the advantages to the breast-fed infant.     

Exercise training reduces skeletal muscle membrane arachidonate in the obese (fa/fa) Zucker rat

Compared with the lean(Fa/) genotype, obese(fa/fa) Zucker rats have arelative deficiency of muscle phospholipid arachidonate, and skeletalmuscle arachidonate in humans is positively correlated with insulinsensitivity. To assess the hypothesis that the positive effects ofexercise training on insulin sensitivity are mediated by increasedmuscle arachidonate, we randomized 20 lean and 20 obese weanling maleZucker rats to sedentary or treadmill exercise groups. After 9 wk,fasting serum, three skeletal muscles (white gastrocnemius, soleus, andextensor digitorum longus), and heart were obtained. Fasting insulinwas halved by exercise training in the obese rat. In whitegastrocnemius and extensor digitorum longus (fast-twitch muscles), butnot in soleus (a slow-twitch muscle) or heart, phospholipidarachidonate was lower in obese than in lean rats(P < 0.001). In all muscles,exercise in the obese rats reduced arachidonate(P < 0.03, by ANOVA contrast). Weconclude that improved insulin sensitivity with exercise in the obesegenotype is not mediated by increased muscle arachidonate and thatreduced muscle arachidonate in obese Zucker rats is unique tofast-twitch muscles.

     

Immunophenotyping of human HT29 colon cancer cell primary tumours and their metastases in severe combined immunodeficient mice

The immunophenotype of HT29 human colon cancer cells implanted into severe combined immunodeficient mice was assessed in primary tumours and their metastases in the lungs using an indirect immunohistochemical method. After primary tumours were surgically removed, the metastases were given time to develop, thus paralleling the clinical situation. While vimentin was negative in both primary and secondary tumours, E-cadherin was present as membrane-bound labelling in the primary tumours only. Whereas the markers p53, MIB1, PCNA and CEA were consistently positive in both primary and metastatic tumours, CD44 variant 6 and CA125 were negative in metastases but positive in the primary tumours. There was a significant increase in the percentage of cells labelled for p53 in the primary tumours compared with the metastases. For the proliferation markers, there was no significant difference in labelling between primary tumours and metastases for MIB1. Of the cytokeratins examined, CK 20 gave the strongest and most consistent reaction in both primary and secondary tumours. The results indicate that, for certain immunohistochemical markers, results are the same in both primary tumours and metastases. Hence, in these cases, antigens that are expressed on the primary tumour as well as on the metastases can serve as target molecules for immunologically based forms of treatment of metastases. This revised version was published online in November 2006 with corrections to the Cover Date.