Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Steven M. Lipkin is active.

Publication


Featured researches published by Steven M. Lipkin.


Nature Genetics | 2000

MLH3: a DNA mismatch repair gene associated with mammalian microsatellite instability.

Steven M. Lipkin; Victoria Wang; Russell F. Jacoby; Sharmila Banerjee-Basu; Andreas D. Baxevanis; Henry T. Lynch; Rosemary M. Elliott; Francis S. Collins

DNA mismatch repair is important because of its role in maintaining genomic integrity and its association with hereditary non-polyposis colon cancer (HNPCC). To identify new human mismatch repair proteins, we probed nuclear extracts with the conserved carboxy-terminal MLH1 interaction domain. Here we describe the cloning and complete genomic sequence of MLH3, which encodes a new DNA mismatch repair protein that interacts with MLH1. MLH3 is more similar to mismatch repair proteins from yeast, plants, worms and bacteria than to any known mammalian protein, suggesting that its conserved sequence may confer unique functions in mice and humans. Cells in culture stably expressing a dominant-negative MLH3 protein exhibit microsatellite instability. Mlh3 is highly expressed in gastrointestinal epithelium and physically maps to the mouse complex trait locus colon cancer susceptibility I (Ccs1). Although we were unable to identify a mutation in the protein-coding region of Mlh3 in the susceptible mouse strain, colon tumours from congenic Ccs1 mice exhibit microsatellite instability. Functional redundancy among Mlh3, Pms1 and Pms2 may explain why neither Pms1 nor Pms2 mutant mice develop colon cancer, and why PMS1 and PMS2 mutations are only rarely found in HNPCC families.


Nature Genetics | 2002

Meiotic arrest and aneuploidy in MLH3-deficient mice.

Steven M. Lipkin; Peter B. Moens; Victoria Wang; Michelle Lenzi; Dakshine Shanmugarajah; Abigail Gilgeous; James P. Thomas; Jun Cheng; Jeffrey W. Touchman; Eric D. Green; Pam Schwartzberg; Francis S. Collins; Paula E. Cohen

MutL homolog 3 (Mlh3) is a member of a family of proteins conserved during evolution and having dual roles in DNA mismatch repair and meiosis. The pathway in eukaryotes consists of the DNA-binding components, which are the homologs of the bacterial MutS protein (MSH 2–6), and the MutL homologs, which bind to the MutS homologs and are essential for the repair process. Three of the six homologs of MutS that function in these processes, Msh2, Msh3 and Msh6, are involved in the mismatch repair of mutations, frameshifts and replication errors, and two others, Msh4 and Msh5, have specific roles in meiosis. Of the four MutL homologs, Mlh1, Mlh3, Pms1 and Pms2, three are involved in mismatch repair and at least two, Pms2 and Mlh1, are essential for meiotic progression in both yeast and mice. To assess the role of Mlh3 in mammalian meiosis, we have generated and characterized Mlh3−/− mice. Here we show that Mlh3−/− mice are viable but sterile. Mlh3 is required for Mlh1 binding to meiotic chromosomes and localizes to meiotic chromosomes from the mid pachynema stage of prophase I. Mlh3−/− spermatocytes reach metaphase before succumbing to apoptosis, but oocytes fail to complete meiosis I after fertilization. Our results show that Mlh3 has an essential and distinct role in mammalian meiosis.


Nature Biotechnology | 2012

Three-dimensional reconstruction of protein networks provides insight into human genetic disease

Xiujuan Wang; Xiaomu Wei; Bram Thijssen; Jishnu Das; Steven M. Lipkin; Haiyuan Yu

To better understand the molecular mechanisms and genetic basis of human disease, we systematically examine relationships between 3,949 genes, 62,663 mutations and 3,453 associated disorders by generating a three-dimensional, structurally resolved human interactome. This network consists of 4,222 high-quality binary protein-protein interactions with their atomic-resolution interfaces. We find that in-frame mutations (missense point mutations and in-frame insertions and deletions) are enriched on the interaction interfaces of proteins associated with the corresponding disorders, and that the disease specificity for different mutations of the same gene can be explained by their location within an interface. We also predict 292 candidate genes for 694 unknown disease-to-gene associations with proposed molecular mechanism hypotheses. This work indicates that knowledge of how in-frame disease mutations alter specific interactions is critical to understanding pathogenesis. Structurally resolved interaction networks should be valuable tools for interpreting the wealth of data being generated by large-scale structural genomics and disease association studies.


Science | 2013

Integrative annotation of variants from 1092 humans: application to cancer genomics.

Ekta Khurana; Yao Fu; Vincenza Colonna; Xinmeng Jasmine Mu; Hyun Min Kang; Tuuli Lappalainen; Andrea Sboner; Lucas Lochovsky; Jieming Chen; Arif Harmanci; Jishnu Das; Alexej Abyzov; Suganthi Balasubramanian; Kathryn Beal; Dimple Chakravarty; Daniel Challis; Yuan Chen; Declan Clarke; Laura Clarke; Fiona Cunningham; Uday S. Evani; Paul Flicek; Robert Fragoza; Erik Garrison; Richard A. Gibbs; Zeynep H. Gümüş; Javier Herrero; Naoki Kitabayashi; Yong Kong; Kasper Lage

Introduction Plummeting sequencing costs have led to a great increase in the number of personal genomes. Interpreting the large number of variants in them, particularly in noncoding regions, is a current challenge. This is especially the case for somatic variants in cancer genomes, a large proportion of which are noncoding. Prioritization of candidate noncoding cancer drivers based on patterns of selection. (Step 1) Filter somatic variants to exclude 1000 Genomes polymorphisms; (2) retain variants in noncoding annotations; (3) retain those in “sensitive” regions; (4) prioritize those disrupting a transcription-factor binding motif and (5) residing near the center of a biological network; (6) prioritize ones in annotation blocks mutated in multiple cancer samples. Methods We investigated patterns of selection in DNA elements from the ENCODE project using the full spectrum of variants from 1092 individuals in the 1000 Genomes Project (Phase 1), including single-nucleotide variants (SNVs), short insertions and deletions (indels), and structural variants (SVs). Although we analyzed broad functional annotations, such as all transcription-factor binding sites, we focused more on highly specific categories such as distal binding sites of factor ZNF274. The greater statistical power of the Phase 1 data set compared with earlier ones allowed us to differentiate the selective constraints on these categories. We also used connectivity information between elements from protein-protein-interaction and regulatory networks. We integrated all the information on selection to develop a workflow (FunSeq) to prioritize personal-genome variants on the basis of their deleterious impact. As a proof of principle, we experimentally validated and characterized a few candidate variants. Results We identified a specific subgroup of noncoding categories with almost as much selective constraint as coding genes: “ultrasensitive” regions. We also uncovered a number of clear patterns of selection. Elements more consistently active across tissues and both maternal and paternal alleles (in terms of allele-specific activity) are under stronger selection. Variants disruptive because of mechanistic effects on transcription-factor binding (i.e. “motif-breakers”) are selected against. Higher network connectivity (i.e. for hubs) is associated with higher constraint. Additionally, many hub promoters and regulatory elements show evidence of recent positive selection. Overall, indels and SVs follow the same pattern as SNVs; however, there are notable exceptions. For instance, enhancers are enriched for SVs formed by nonallelic homologous recombination. We integrated these patterns of selection into the FunSeq prioritization workflow and applied it to cancer variants, because they present a strong contrast to inherited polymorphisms. In particular, application to ~90 cancer genomes (breast, prostate and medulloblastoma) reveals nearly a hundred candidate noncoding drivers. Discussion Our approach can be readily used to prioritize variants in cancer and is immediately applicable in a precision-medicine context. It can be further improved by incorporation of larger-scale population sequencing, better annotations, and expression data from large cohorts. Identifying Important Identifiers Each of us has millions of sequence variations in our genomes. Signatures of purifying or negative selection should help identify which of those variations is functionally important. Khurana et al. (1235587) used sequence polymorphisms from 1092 humans across 14 populations to identify patterns of selection, especially in noncoding regulatory regions. Noncoding regions under very strong negative selection included binding sites of some chromatin and general transcription factors (TFs) and core motifs of some important TF families. Positive selection in TF binding sites tended to occur in network hub promoters. Many recurrent somatic cancer variants occurred in noncoding regulatory regions and thus might indicate mutations that drive cancer. Regions under strong selection in the human genome identify noncoding regulatory elements with possible roles in disease. Interpreting variants, especially noncoding ones, in the increasing number of personal genomes is challenging. We used patterns of polymorphisms in functionally annotated regions in 1092 humans to identify deleterious variants; then we experimentally validated candidates. We analyzed both coding and noncoding regions, with the former corroborating the latter. We found regions particularly sensitive to mutations (“ultrasensitive”) and variants that are disruptive because of mechanistic effects on transcription-factor binding (that is, “motif-breakers”). We also found variants in regions with higher network centrality tend to be deleterious. Insertions and deletions followed a similar pattern to single-nucleotide variants, with some notable exceptions (e.g., certain deletions and enhancers). On the basis of these patterns, we developed a computational tool (FunSeq), whose application to ~90 cancer genomes reveals nearly a hundred candidate noncoding drivers.


Cancer Research | 2010

NOTCH Signaling Is Required for Formation and Self-Renewal of Tumor-Initiating Cells and for Repression of Secretory Cell Differentiation in Colon Cancer

Shaheen Sikandar; Kira T. Pate; Scott Anderson; Diana Dizon; Robert A. Edwards; Marian L. Waterman; Steven M. Lipkin

NOTCH signaling is critical for specifying the intestinal epithelial cell lineage and for initiating colorectal adenomas and colorectal cancers (CRC). Based on evidence that NOTCH is important for the maintenance and self-renewal of cancer-initiating cells in other malignancies, we studied the role of NOTCH signaling in colon cancer-initiating cells (CCIC). Tumors formed by CCICs maintain many properties of the primary CRCs from which they were derived, such as glandular organization, cell polarity, gap junctions, and expression of characteristic CRC molecular markers. Furthermore, CCICs have the property of self-renewal. In this study, we show that NOTCH signaling is 10- to 30-fold higher in CCIC compared with widely used colon cancer cell lines. Using small-molecule inhibition and short hairpin RNA knockdown, we show that NOTCH prevents CCIC apoptosis through repression of cell cycle kinase inhibitor p27 and transcription factor ATOH1. NOTCH is also critical to intrinsic maintenance of CCIC self-renewal and the repression of secretory cell lineage differentiation genes such as MUC2. Our findings describe a novel human cell system to study NOTCH signaling in CRC tumor initiation and suggest that inhibition of NOTCH signaling may improve CRC chemoprevention and chemotherapy.


Developmental Biology | 2010

Disruption of Paneth and goblet cell homeostasis and increased endoplasmic reticulum stress in Agr2−/− mice

Fang Zhao; Robert A. Edwards; Diana Dizon; Kambiz Afrasiabi; Jennifer R. Mastroianni; Mikhail Geyfman; Andre J. Ouellette; Bogi Andersen; Steven M. Lipkin

Anterior Gradient 2 (AGR2) is a protein disulfide isomerase that plays important roles in diverse processes in multiple cell lineages as a developmental regulator, survival factor and susceptibility gene for inflammatory bowel disease. Here, we show using germline and inducible Agr2-/- mice that Agr2 plays important roles in intestinal homeostasis. Agr2-/- intestine has decreased goblet cell Mucin 2, dramatic expansion of the Paneth cell compartment, abnormal Paneth cell localization, elevated endoplasmic reticulum (ER) stress, severe terminal ileitis and colitis. Cell culture experiments show that Agr2 expression is induced by ER stress, and that siRNA knockdown of Agr2 increases ER stress response. These studies implicate Agr2 in intestinal homeostasis and ER stress and suggest a role in the etiology of inflammatory bowel disease.


Nature Genetics | 2013

A recurrent germline PAX5 mutation confers susceptibility to pre-B cell acute lymphoblastic leukemia

Sohela Shah; Kasmintan A. Schrader; Esmé Waanders; Andrew E. Timms; Joseph Vijai; Cornelius Miething; Jeremy Wechsler; Jun Yang; James Hayes; Robert J. Klein; Jinghui Zhang; Lei Wei; Gang Wu; Michael Rusch; Panduka Nagahawatte; Jing Ma; Shann Ching Chen; Guangchun Song; Jinjun Cheng; Paul A. Meyers; Deepa Bhojwani; Suresh C. Jhanwar; P. Maslak; Martin Fleisher; Jason Littman; Lily Offit; Rohini Rau-Murthy; Megan Harlan Fleischut; Marina Corines; Rajmohan Murali

Somatic alterations of the lymphoid transcription factor gene PAX5 (also known as BSAP) are a hallmark of B cell precursor acute lymphoblastic leukemia (B-ALL), but inherited mutations of PAX5 have not previously been described. Here we report a new heterozygous germline variant, c.547G>A (p.Gly183Ser), affecting the octapeptide domain of PAX5 that was found to segregate with disease in two unrelated kindreds with autosomal dominant B-ALL. Leukemic cells from all affected individuals in both families exhibited 9p deletion, with loss of heterozygosity and retention of the mutant PAX5 allele at 9p13. Two additional sporadic ALL cases with 9p loss harbored somatic PAX5 substitutions affecting Gly183. Functional and gene expression analysis of the PAX5 mutation demonstrated that it had significantly reduced transcriptional activity. These data extend the role of PAX5 alterations in the pathogenesis of pre-B cell ALL and implicate PAX5 in a new syndrome of susceptibility to pre-B cell neoplasia.


Cancer Epidemiology, Biomarkers & Prevention | 2008

Effects of Socioeconomic Status and Treatment Disparities in Colorectal Cancer Survival

Hoa Le; Argyrios Ziogas; Steven M. Lipkin; Jason A. Zell

Background: Poor survival among colorectal cancer (CRC) cases has been associated with African-American race and low socioeconomic status (SES). However, it is not known whether the observed poor survival of African-American CRC cases is due to SES itself and/or treatment disparities. We set out to determine this using data from the large, population-based California Cancer Registry database. Methods: A case-only analysis of CRC was conducted including all age groups using California Cancer Registry data from 1994 to 2003, including descriptive analysis of relevant clinical variables, race, and SES. CRC-specific survival univariate analyses were conducted using the Kaplan-Meier method. Multivariate survival analyses were done using Cox proportional hazards ratios (HR). Results: Incident cases of colon (90,273) and rectal (37,532) cancer were analyzed, including 91,739 (71.8%) non-Hispanic Whites, 8,535 (6.7%) African-Americans, 14,943 (11.7%) Hispanics, 3,564 (2.8%) Chinese, and 7,950 (6.2%) non-Chinese Asians. African-Americans had a greater proportion of metastatic stage at presentation (P < 0.0001) and decreased CRC-specific survival (P < 0.0001 for colon and rectal cancer). After adjustment for age, sex, histology, site within the colon, and stage, African-Americans [colon: HR, 1.19; 95% confidence interval (95% CI), 1.14-1.25; rectum: HR, 1.27; 95% CI, 1.17-1.38] had an increased risk of death compared with Caucasians. However, after further adjustment for SES and treatment, the risk of death for African-Americans compared with Caucasians was substantially diminished (colon: HR, 1.08; 95% CI, 1.03-1.13; rectum: HR, 1.11; 95% CI, 1.02-1.20). Conclusion: Among CRC cases, disparities in treatment and SES largely explain the observed decreased survival of African-Americans, underscoring the importance of health disparity research in this disease. (Cancer Epidemiol Biomarkers Prev 2008;17(8):1950–62)


Cancer Research | 2005

Expression of the MutL Homologue hMLH3 in Human Cells and its Role in DNA Mismatch Repair

Elda Cannavo; Giancarlo Marra; Jacob Sabates-Bellver; Mirco Menigatti; Steven M. Lipkin; Franziska Fischer; Petr Cejka; Josef Jiricny

The human mismatch repair (MMR) proteins hMLH1 and hPMS2 function in MMR as a heterodimer. Cells lacking either protein have a strong mutator phenotype and display microsatellite instability, yet mutations in the hMLH1 gene account for approximately 50% of hereditary nonpolyposis colon cancer families, whereas hPMS2 mutations are substantially less frequent and less penetrant. Similarly, in the mouse model, Mlh1-/- animals are highly cancer prone and present with gastrointestinal tumors at an early age, whereas Pms2-/- mice succumb to cancer much later in life and do not present with gastrointestinal tumors. This evidence suggested that MLH1 might functionally interact with another MutL homologue, which compensates, at least in part, for a deficiency in PMS2. Sterility of Mlh1-/-, Pms2-/-, and Mlh3-/- mice implicated the Mlh1/Pms2 and Mlh1/Mlh3 heterodimers in meiotic recombination. We now show that the hMLH1/hMLH3 heterodimer, hMutLgamma, can also assist in the repair of base-base mismatches and single extrahelical nucleotides in vitro. Analysis of hMLH3 expression in colon cancer cell lines indicated that the protein levels vary substantially and independently of hMLH1. If hMLH3 participates in MMR in vivo, its partial redundancy with hPMS2, coupled with the fluctuating expression levels of hMLH3, may help explain the low penetrance of hPMS2 mutations in hereditary nonpolyposis colon cancer families.


Nature Genetics | 2004

The MLH1 D132H variant is associated with susceptibility to sporadic colorectal cancer

Steven M. Lipkin; Laura S. Rozek; Gad Rennert; Wei Yang; Peng Chieh Chen; Joseph G. Hacia; Nathan Hunt; Brian Y. Shin; Steve Fodor; Mark Kokoris; Joel K. Greenson; Eric R. Fearon; Henry T. Lynch; Francis S. Collins; Stephen B. Gruber

Most susceptibility to colorectal cancer (CRC) is not accounted for by known risk factors. Because MLH1, MSH2 and MSH6 mutations underlie high-penetrance CRC susceptibility in hereditary nonpolyposis colon cancer (HNPCC), we hypothesized that attenuated alleles might also underlie susceptibility to sporadic CRC. We looked for gene variants associated with HNPCC in Israeli probands with familial CRC unstratified with respect to the microsatellite instability (MSI) phenotype. Association studies identified a new MLH1 variant (415G→C, resulting in the amino acid substitution D132H) in ∼1.3% of Israeli individuals with CRC self-described as Jewish, Christian and Muslim. MLH1 415C confers clinically significant susceptibility to CRC. In contrast to classic HNPCC, CRCs associated with MLH1 415C usually do not have the MSI defect, which is important for clinical mutation screening. Structural and functional analyses showed that the normal ATPase function of MLH1 is attenuated, but not eliminated, by the MLH1 415G→C mutation. The new MLH1 variant confers a high risk of CRC and identifies a previously unrecognized mechanism in microsatellite-stable tumors. These studies suggest that variants of mismatch repair proteins with attenuated function may account for a higher proportion of susceptibility to sporadic microsatellite-stable CRC than previously assumed.

Collaboration


Dive into the Steven M. Lipkin's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar

Kenneth Offit

Memorial Sloan Kettering Cancer Center

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Zeynep H. Gümüş

Icahn School of Medicine at Mount Sinai

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Jason A. Zell

University of California

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Joseph Vijai

Memorial Sloan Kettering Cancer Center

View shared research outputs
Researchain Logo
Decentralizing Knowledge