Biomedical subjects

Sudeepa Bhattacharyya

Publications and source records attributed to Sudeepa Bhattacharyya.

5 recordsLinked to original sources

PubMed2006

Biomarkers that discriminate multiple myeloma patients with or without skeletal involvement detected using SELDI-TOF mass spectrometry and statistical and machine learning tools.

Multiple Myeloma (MM) is a severely debilitating neoplastic disease of B cell origin, with the primary source of morbidity and mortality associated with unrestrained bone destruction. Surface enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS) was used to screen for potential biomarkers indicative of skeletal involvement in patients with MM. Serum samples from 48 MM patients, 24 with more than three bone lesions and 24 with no evidence of bone lesions were fractionated and analyzed in duplicate using copper ion loaded immobilized metal affinity SELDI chip arrays. The spectra obtained were compiled, normalized, and mass peaks with mass-to-charge ratios (m/z) between 2000 and 20,000 Da identified. Peak information from all fractions was combined together and analyzed using univariate statistics, as well as a linear, partial least squares discriminant analysis (PLS-DA), and a non-linear, random forest (RF), classification algorithm. The PLS-DA model resulted in prediction accuracy between 96-100%, while the RF model was able to achieve a specificity and sensitivity of 87.5% each. Both models as well as multiple comparison adjusted univariate analysis identified a set of four peaks that were the most discriminating between the two groups of patients and hold promise as potential biomarkers for future diagnostic and/or therapeutic purposes.

Adult↗

PubMed2003

Structural and functional characterization of a thioredoxin-like protein (Mt0807) from Methanobacterium thermoautotrophicum.

Mt0807 is an 85-residue thiol-redox protein from the anaerobic archaebacterium Methanobacterium thermoautotrophicum. Its small size, its participation in certain redox reactions, and the presence of a "classic" glutareodoxin active-site sequence have led to the suggestion that it might be a glutaredoxin. However, studies by previous workers indicated that it exhibited neither glutaredoxin-like nor thioredoxin-like properties. To clarify the true role of this protein and its structure/functional relationship with a paralogous thioredoxin (Mt0895, 28% sequence identity) and a recently characterized orthologous protein (Mj0307, 51% sequence identity), we undertook a series of biochemical and biophysical studies. Comparative enzymatic assays and thiol titration experiments were combined with NMR structural studies and detailed 3D structure comparisons. Structurally, our results show that Mt0807 has a glutaredoxin-like fold (central four-stranded beta-sheet core surrounded by two helices on one side and a third on the other). However, more detailed comparisons with other members of the thioredoxin superfamily indicate that Mt0807 actually has several key structural and active-site characteristics more common to a thioredoxin. Furthermore, biochemical tests show that Mt0807 actually behaves as true thioredoxin. Comparisons between Mt0807 and its paralogue, Mt0895, indicate these two archaebacterial thioredoxins share very similar folds, but exhibit very different activities and likely serve somewhat different roles. On the basis of its greater relative abundance and significantly stronger redox activity, we believe that Mt0807 is the primary thioredoxin for M. thermoautotrophicum, while Mt0895 plays a minor or supportive role. We also suggest that these two molecules (Mt0807 and Mt0895) may represent a group of ancient proteins that were ancestral to both thioredoxins and glutaredoxins.

Amino Acid Sequence↗

PubMed2002

Identification of a novel archaebacterial thioredoxin: determination of function through structure.

As part of a high-throughput, structural proteomic project we have used NMR spectroscopy to determine the solution structure and ascertain the function of a previously unknown, conserved protein (MtH895) from the thermophilic archeon Methanobacterium thermoautotrophicum. Our findings indicate that MtH895 contains a central four-stranded beta-sheet core surrounded by two helices on one side and a third on the other. It has an overall fold superficially similar to that of a glutaredoxin. However, detailed analysis of its three-dimensional structure along with molecular docking simulations of its interaction with T7 DNA polymerase (a thioredoxin-specific substrate) and comparisons with other known members of the thioredoxin/glutaredoxin family of proteins strongly suggest that MtH895 is more akin to a thioredoxin. Furthermore, measurement of the pK(a) values of its active site thiols along with direct measurements of the thioredoxin/glutaredoxin activity has confirmed that MtH895 is, indeed, a thioredoxin and exhibits no glutaredoxin activity. We have also identified a group of previously unknown proteins from several other archaebacteria that have significant (34-44%) sequence identity with MtH895. These proteins have unusual active site -CXXC- motifs not found in any known thioredoxin or glutaredoxin. On the basis of the results presented here, we predict that these small proteins are all members of a new class of truncated thioredoxins.

Amino Acid Sequence↗

PubMed2002

An NMR approach to structural proteomics.

The influx of genomic sequence information has led to the concept of structural proteomics, the determination of protein structures on a genome-wide scale. Here we describe an approach to structural proteomics of small proteins using NMR spectroscopy. Over 500 small proteins from several organisms were cloned, expressed, purified, and evaluated by NMR. Although there was variability among proteomes, overall 20% of these proteins were found to be readily amenable to NMR structure determination. NMR sample preparation was centralized in one facility, and a distributive approach was used for NMR data collection and analysis. Twelve structures are reported here as part of this approach, which allowed us to infer putative functions for several conserved hypothetical proteins.

Bacterial Proteins↗

PubMedDate not supplied

Diagnosis of pancreatic cancer using serum proteomic profiling.

In the United States, mortality rates from pancreatic cancer (PCa) have not changed significantly over the past 50 years. This is due, in part, to the lack of early detection methods for this particularly aggressive form of cancer. The objective of this study was to use high-throughput protein profiling technology to identify biomarkers in the serum proteome for the early detection of resectable PCa. Using surface-enhanced laser desorption/ionization mass spectrometry, protein profiles were generated from sera of 49 PCa patients and 54 unaffected individuals after fractionation on an anion exchange resin. The samples were randomly divided into a training set (69 samples) and test set (34 samples), and two multivariate analysis procedures, classification and regression tree and logistic regression, were used to develop classification models from these spectral data that could distinguish PCa from control serum samples. In the test set, both models correctly classified all of the PCa patient serum samples (100% sensitivity). Using the decision tree algorithm, a specificity of 93.5% was obtained, whereas the logistic regression model produced a specificity of 100%. These results suggest that high-throughput proteomics profiling has the capacity to provide new biomarkers for the early detection and diagnosis of PCa.

Biomarkers, Tumor↗