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Dive into the research topics where Michael J. Brownstein is active.

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Featured researches published by Michael J. Brownstein.


Cell | 2007

A Mammalian microRNA Expression Atlas Based on Small RNA Library Sequencing

Pablo Landgraf; Mirabela Rusu; Robert L. Sheridan; Alain Sewer; Nicola Iovino; Alexei A. Aravin; Sébastien Pfeffer; Amanda Rice; Alice O. Kamphorst; Markus Landthaler; Carolina Lin; Nicholas D. Socci; Leandro C. Hermida; Valerio Fulci; Sabina Chiaretti; Robin Foà; Julia Schliwka; Uta Fuchs; Astrid Novosel; Roman Ulrich Müller; Bernhard Schermer; Ute Bissels; Jason M. Inman; Quang Phan; Minchen Chien; David B. Weir; Ruchi Choksi; Gabriella De Vita; Daniela Frezzetti; Hans Ingo Trompeter

MicroRNAs (miRNAs) are small noncoding regulatory RNAs that reduce stability and/or translation of fully or partially sequence-complementary target mRNAs. In order to identify miRNAs and to assess their expression patterns, we sequenced over 250 small RNA libraries from 26 different organ systems and cell types of human and rodents that were enriched in neuronal as well as normal and malignant hematopoietic cells and tissues. We present expression profiles derived from clone count data and provide computational tools for their analysis. Unexpectedly, a relatively small set of miRNAs, many of which are ubiquitously expressed, account for most of the differences in miRNA profiles between cell lineages and tissues. This broad survey also provides detailed and accurate information about mature sequences, precursors, genome locations, maturation processes, inferred transcriptional units, and conservation patterns. We also propose a subclassification scheme for miRNAs for assisting future experimental and computational functional analyses.


Proceedings of the National Academy of Sciences of the United States of America | 2002

Generation and initial analysis of more than 15,000 full-length human and mouse cDNA sequences.

Robert L. Strausberg; Elise A. Feingold; Lynette H. Grouse; Jeffery G. Derge; Richard D. Klausner; Francis S. Collins; Lukas Wagner; Carolyn M. Shenmen; Gregory D. Schuler; Stephen F. Altschul; Barry R. Zeeberg; Kenneth H. Buetow; Carl F. Schaefer; Narayan K. Bhat; Ralph F. Hopkins; Heather Jordan; Troy Moore; Steve I. Max; Jun Wang; Florence Hsieh; Luda Diatchenko; Kate Marusina; Andrew A. Farmer; Gerald M. Rubin; Ling Hong; Mark Stapleton; M. Bento Soares; Maria F. Bonaldo; Tom L. Casavant; Todd E. Scheetz

The National Institutes of Health Mammalian Gene Collection (MGC) Program is a multiinstitutional effort to identify and sequence a cDNA clone containing a complete ORF for each human and mouse gene. ESTs were generated from libraries enriched for full-length cDNAs and analyzed to identify candidate full-ORF clones, which then were sequenced to high accuracy. The MGC has currently sequenced and verified the full ORF for a nonredundant set of >9,000 human and >6,000 mouse genes. Candidate full-ORF clones for an additional 7,800 human and 3,500 mouse genes also have been identified. All MGC sequences and clones are available without restriction through public databases and clone distribution networks (see http://mgc.nci.nih.gov).


Nature | 1998

The ubiquitin pathway in Parkinson's disease

Elisabeth Leroy; Rebecca Boyer; Georg Auburger; Barbara Leube; Gudrun Ulm; Eva Mezey; Gyongyi Harta; Michael J. Brownstein; Sobhanadditya Jonnalagada; Tanya Chernova; Anindya Dehejia; Christian Lavedan; Thomas Gasser; Peter J. Steinbach; Keith D. Wilkinson; Mihael H. Polymeropoulos

Mutations of the α-synuclein gene, have been identified in some familial forms of Parkinsons disease, and α-synuclein protein has been shown to accumulate in the brains of patients with the disease. These findings suggest that Parkinsons disease may be caused by the abnormal aggregation of α-synuclein protein. Here we have identified in a German family with Parkinsons disease a missense mutation in the ubiquitin carboxy-terminal hydrolase L1 (UCH-L1) gene. We show that this mutation, Ile93Met, causes a partial loss of the catalytic activity of this thiol protease, which could lead to aberrations in the proteolytic pathway and aggregation of proteins.


Nature | 2006

A novel class of small RNAs bind to MILI protein in mouse testes.

Alexei A. Aravin; Dimos Gaidatzis; Sébastien Pfeffer; Mariana Lagos-Quintana; Pablo Landgraf; Nicola Iovino; Patricia L. Morris; Michael J. Brownstein; Satomi Kuramochi-Miyagawa; Toru Nakano; Minchen Chien; James J. Russo; Jingyue Ju; Robert L. Sheridan; Chris Sander; Mihaela Zavolan; Thomas Tuschl

Small RNAs bound to Argonaute proteins recognize partially or fully complementary nucleic acid targets in diverse gene-silencing processes. A subgroup of the Argonaute proteins—known as the ‘Piwi family’—is required for germ- and stem-cell development in invertebrates, and two Piwi members—MILI and MIWI—are essential for spermatogenesis in mouse. Here we describe a new class of small RNAs that bind to MILI in mouse male germ cells, where they accumulate at the onset of meiosis. The sequences of the over 1,000 identified unique molecules share a strong preference for a 5′ uridine, but otherwise cannot be readily classified into sequence families. Genomic mapping of these small RNAs reveals a limited number of clusters, suggesting that these RNAs are processed from long primary transcripts. The small RNAs are 26–31 nucleotides (nt) in length—clearly distinct from the 21–23 nt of microRNAs (miRNAs) or short interfering RNAs (siRNAs)—and we refer to them as ‘Piwi-interacting RNAs’ or piRNAs. Orthologous human chromosomal regions also give rise to small RNAs with the characteristics of piRNAs, but the cloned sequences are distinct. The identification of this new class of small RNAs provides an important starting point to determine the molecular function of Piwi proteins in mammalian spermatogenesis.


Science | 1996

Major susceptibility locus for prostate cancer on chromosome 1 suggested by a genome-wide search.

Jeffrey R. Smith; Diha Freije; John D. Carpten; Henrik Grönberg; Jianfeng Xu; Sarah D. Isaacs; Michael J. Brownstein; G. Steven Bova; Hong Guo; Piroska Bujnovszky; Deborah Nusskern; Jan-Erik Damber; Anders Bergh; Monika Emanuelsson; Olli Kallioniemi; Jennifer Walker-Daniels; Joan E. Bailey-Wilson; Terri H. Beaty; Deborah A. Meyers; Patrick C. Walsh; Francis S. Collins; Jeffrey M. Trent; William B. Isaacs

Despite its high prevalence, very little is known regarding genetic predisposition to prostate cancer. A genome-wide scan performed in 66 high-risk prostate cancer families has provided evidence of linkage to the long arm of chromosome 1 (1q24-25). Analysis of an additional set of 25 North American and Swedish families with markers in this region resulted in significant evidence of linkage in the combined set of 91 families. The data provide strong evidence of a major prostate cancer susceptibility locus on chromosome 1.


Nature Genetics | 1998

Evidence for a prostate cancer susceptibility locus on the X chromosome.

Jianfeng Xu; Deborah A. Meyers; Diha Freije; Sarah D. Isaacs; Kathy E. Wiley; Deborah Nusskern; Charles M. Ewing; Eric Wilkens; Piroska Bujnovszky; G. Steven Bova; Patrick C. Walsh; William B. Isaacs; Johanna Schleutker; Mika P. Matikainen; Teuvo L.J. Tammela; Tapio Visakorpi; Olli Kallioniemi; Rebecca Berry; Daniel J. Schaid; Amy J. French; Shannon K. McDonnell; Jennifer J. Schroeder; Michael L. Blute; Stephen N. Thibodeau; Henrik Grönberg; Monika Emanuelsson; Jan-Erik Damber; Anders Bergh; Björn Anders Jonsson; Jeffrey R. Smith

Over 200,000 new prostate cancer cases are diagnosed in the United States each year, accounting for more than 35% of all cancer cases affecting men, and resulting in 40,000 deaths annually1. Attempts to characterize genes predisposing to prostate cancer have been hampered by a high phenocopy rate, the late age of onset of the disease and, in the absence of distinguishing clinical features, the inability to stratify patients into subgroups relative to suspected genetic locus heterogeneity. We previously performed a genome-wide search for hereditary prostate cancer (HPC) genes, finding evidence of a prostate cancer susceptibility locus on chromosome 1 (termed HPC1; ref. 2). Here we present evidence for the location of a second prostate cancer susceptibility gene, which by heterogeneity estimates accounts for approximately 16% of HPC cases. This HPC locus resides on the X chromosome (Xq27-28), a finding consistent with results of previous population-based studies suggesting an X-linked mode of HPC inheritance. Linkage to Xq27-28 was observed in a combined study population of 360 prostate cancer families collected at four independent sites in North America, Finland and Sweden. A maximum two-point lod score of 4.60 was observed at DXS1113, θ=0.26, in the combined data set. Parametric multipoint and non-parametric analyses provided results consistent with the two-point analysis. evidence for genetic locus heterogeneity was observed, with similar estimates of the proportion of linked families in each separate family collection. Genetic mapping of the locus represents an important initial step in the identification of an X-linked gene implicated in the aetiology of HPC.


Nature | 2001

Functional annotation of a full-length mouse cDNA collection

Jun Kawai; Akira Shinagawa; Kazuhiro Shibata; Masataka Yoshino; Masayoshi Itoh; Yoshiyuki Ishii; Takahiro Arakawa; Ayako Hara; Yoshifumi Fukunishi; Hideaki Konno; Jun Adachi; Shiro Fukuda; Katsunori Aizawa; Masaki Izawa; Kenichiro Nishi; Hidenori Kiyosawa; Shinji Kondo; Itaru Yamanaka; Tsuyoshi Saito; Yasushi Okazaki; Takashi Gojobori; Hidemasa Bono; Takeya Kasukawa; R. Saito; Koji Kadota; Hideo Matsuda; Michael Ashburner; Serge Batalov; Tom L. Casavant; W. Fleischmann

The RIKEN Mouse Gene Encyclopaedia Project, a systematic approach to determining the full coding potential of the mouse genome, involves collection and sequencing of full-length complementary DNAs and physical mapping of the corresponding genes to the mouse genome. We organized an international functional annotation meeting (FANTOM) to annotate the first 21,076 cDNAs to be analysed in this project. Here we describe the first RIKEN clone collection, which is one of the largest described for any organism. Analysis of these cDNAs extends known gene families and identifies new ones.The RIKEN Mouse Gene Encyclopaedia Project, a systematic approach to determining the full coding potential of the mouse genome, involves collection and sequencing of full-length complementary DNAs and physical mapping of the corresponding genes to the mouse genome. We organized an international functional annotation meeting (FANTOM) to annotate the first 21,076 cDNAs to be analysed in this project. Here we describe the first RIKEN clone collection, which is one of the largest described for any organism. Analysis of these cDNAs extends known gene families and identifies new ones.


Nucleic Acids Research | 2005

Clustering and conservation patterns of human microRNAs

Yael Altuvia; Pablo Landgraf; Gila Lithwick; Naama Elefant; Sébastien Pfeffer; Alexei A. Aravin; Michael J. Brownstein; Thomas Tuschl; Hanah Margalit

MicroRNAs (miRNAs) are ∼22 nt-long non-coding RNA molecules, believed to play important roles in gene regulation. We present a comprehensive analysis of the conservation and clustering patterns of known miRNAs in human. We show that human miRNA gene clustering is significantly higher than expected at random. A total of 37% of the known human miRNA genes analyzed in this study appear in clusters of two or more with pairwise chromosomal distances of at most 3000 nt. Comparison of the miRNA sequences with their homologs in four other organisms reveals a typical conservation pattern, persistent throughout the clusters. Furthermore, we show enrichment in the typical conservation patterns and other miRNA-like properties in the vicinity of known miRNA genes, compared with random genomic regions. This may imply that additional, yet unknown, miRNAs reside in these regions, consistent with the current recognition that there are overlooked miRNAs. Indeed, by comparing our predictions with cloning results and with identified miRNA genes in other mammals, we corroborate the predictions of 18 additional human miRNA genes in the vicinity of the previously known ones. Our study raises the proportion of clustered human miRNAs that are <3000 nt apart to 42%. This suggests that the clustering of miRNA genes is higher than currently acknowledged, alluding to its evolutionary and functional implications.


Brain Research | 1981

The distribution of cholecystokinin immunoreactivity in the central nervous system of the rat as determined by radioimmunoassay.

Margery C. Beinfeld; Dieter K. Meyer; Robert L. Eskay; Robert T. Jensen; Michael J. Brownstein

The regional distribution of cholecystokinin (CCK) in the rat brain was determined utilizing a radioimmunoassay which detects both gastrin and CCK. CCK concentration is highest in the caudate nucleus (10-14 ng CCK 8 equivalents/mg protein), followed by the cerebral cortex. Within the cerebral cortex, CCK is highest in the cingulate, pyriform, and entorhinal areas. There are substantial CCK concentrations in all other brain regions except pons, medulla and cerebellum. CCK is widely distributed in the hypothalamus, where it is highest in the median eminence and ventromedial nucleus. Considerable CCK-like immunoreactivity is also present in the posterior lobe of the pituitary gland, but is not detectable in anterior and intermediate lobes. Though the antisera used in this study cross-react with gastrin the dominant CCK-like material found in rat brain co-elutes with sulfated CCK 8 and separates from gastrin on Sephadex G-25 and HPLC chromatography.


Nature Genetics | 2002

Germline mutations in the ribonuclease L gene in families showing linkage with HPC1.

John D. Carpten; Nina N. Nupponen; Sarah D. Isaacs; Raman Sood; Christiane M. Robbins; Jun Xu; Mezbah U. Faruque; Tracy Moses; C. Ewing; Elizabeth M. Gillanders; P. Hu; P. Bujnovszky; Izabela Makalowska; Agnes Baffoe-Bonnie; D. Faith; Jennifer A. Smith; Dietrich A. Stephan; Kathy E. Wiley; Michael J. Brownstein; Derek Gildea; B. Kelly; R. Jenkins; Galen Hostetter; M. Matikainen; J. Schleutker; K. Klinger; T. Connors; Yong Bing Xiang; Zhining Wang; A. De Marzo

Although prostate cancer is the most common non-cutaneous malignancy diagnosed in men in the United States, little is known about inherited factors that influence its genetic predisposition. Here we report that germline mutations in the gene encoding 2′-5′-oligoadenylate(2-5A)–dependent RNase L (RNASEL) segregate in prostate cancer families that show linkage to the HPC1 (hereditary prostate cancer 1) region at 1q24–25 (ref. 9). We identified RNASEL by a positional cloning/candidate gene method, and show that a nonsense mutation and a mutation in an initiation codon of RNASEL segregate independently in two HPC1-linked families. Inactive RNASEL alleles are present at a low frequency in the general population. RNASEL regulates cell proliferation and apoptosis through the interferon-regulated 2-5A pathway and has been suggested to be a candidate tumor suppressor gene. We found that microdissected tumors with a germline mutation showed loss of heterozygosity and loss of RNase L protein, and that RNASEL activity was reduced in lymphoblasts from heterozyogous individuals compared with family members who were homozygous with respect to the wildtype allele. Thus, germline mutations in RNASEL may be of diagnostic value, and the 2-5A pathway might provide opportunities for developing therapies for those with prostate cancer.

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Eva Mezey

National Institutes of Health

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Juan M. Saavedra

Georgetown University Medical Center

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Harold Gainer

National Institutes of Health

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Julius Axelrod

National Institutes of Health

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John S. Kizer

University of North Carolina at Chapel Hill

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M. Palkovits

National Institutes of Health

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James T. Russell

National Institutes of Health

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Jesse Roth

The Feinstein Institute for Medical Research

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M. Palkovits

National Institutes of Health

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