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Unruh BA, Weidemann DE, Miao L, Kojima S. Coordination of rhythmic RNA synthesis and degradation orchestrates 24- and 12-h RNA expression patterns in mouse fibroblasts. Proc Natl Acad Sci U S A 2024; 121:e2314690121. [PMID: 38315868 PMCID: PMC10873638 DOI: 10.1073/pnas.2314690121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 01/02/2024] [Indexed: 02/07/2024] Open
Abstract
Circadian RNA expression is essential to ultimately regulate a plethora of downstream rhythmic biochemical, physiological, and behavioral processes. Both transcriptional and posttranscriptional mechanisms are considered important to drive rhythmic RNA expression; however, the extent to which each regulatory process contributes to the rhythmic RNA expression remains controversial. To systematically address this, we monitored RNA dynamics using metabolic RNA labeling technology during a circadian cycle in mouse fibroblasts. We find that rhythmic RNA synthesis is the primary contributor of 24-h RNA rhythms, while rhythmic degradation is more important for 12-h RNA rhythms. These rhythms were predominantly regulated by Bmal1 and/or the core clock mechanism, and the interplay between rhythmic synthesis and degradation has a significant impact in shaping rhythmic RNA expression patterns. Interestingly, core clock RNAs are regulated by multiple rhythmic processes and have the highest amplitude of synthesis and degradation, presumably critical to sustain robust rhythmicity of cell-autonomous circadian rhythms. Our study yields invaluable insights into the temporal dynamics of both 24- and 12-h RNA rhythms in mouse fibroblasts.
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Affiliation(s)
- Benjamin A. Unruh
- Department of Biological Sciences, Fralin Life Sciences Institute, Virginia Tech, Blacksburg, VA24061
| | - Douglas E. Weidemann
- Department of Biological Sciences, Fralin Life Sciences Institute, Virginia Tech, Blacksburg, VA24061
| | - Lin Miao
- Department of Biological Sciences, Fralin Life Sciences Institute, Virginia Tech, Blacksburg, VA24061
| | - Shihoko Kojima
- Department of Biological Sciences, Fralin Life Sciences Institute, Virginia Tech, Blacksburg, VA24061
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Unruh BA, Weidemann DE, Kojima S. Coordination of rhythmic RNA synthesis and degradation orchestrates 24-hour and 12-hour RNA expression patterns in mouse fibroblasts. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.07.26.550672. [PMID: 37546997 PMCID: PMC10402069 DOI: 10.1101/2023.07.26.550672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/08/2023]
Abstract
Circadian RNA expression is essential to ultimately regulate a plethora of downstream rhythmic biochemical, physiological, and behavioral processes. Both transcriptional and post-transcriptional mechanisms are considered important to drive rhythmic RNA expression, however, the extent to which each regulatory process contributes to the rhythmic RNA expression remains controversial. To systematically address this, we monitored RNA dynamics using metabolic RNA labeling technology during a circadian cycle in mouse fibroblasts. We find that rhythmic RNA synthesis is the primary contributor of 24 hr RNA rhythms, while rhythmic degradation is more important for 12 hr RNA rhythms. These rhythms were predominantly regulated by Bmal1 and/or the core clock mechanism, and interplay between rhythmic synthesis and degradation has a significant impact in shaping rhythmic RNA expression patterns. Interestingly, core clock RNAs are regulated by multiple rhythmic processes and have the highest amplitude of synthesis and degradation, presumably critical to sustain robust rhythmicity of cell-autonomous circadian rhythms. Our study yields invaluable insights into the temporal dynamics of both 24 hr and 12 hr RNA rhythms in mouse fibroblasts.
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Affiliation(s)
- Benjamin A Unruh
- Department of Biological Sciences, Fralin Life Sciences Institute, Virginia Tech, Blacksburg, VA USA
| | - Douglas E Weidemann
- Department of Biological Sciences, Fralin Life Sciences Institute, Virginia Tech, Blacksburg, VA USA
| | - Shihoko Kojima
- Department of Biological Sciences, Fralin Life Sciences Institute, Virginia Tech, Blacksburg, VA USA
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Shikhevich S, Chadaeva I, Khandaev B, Kozhemyakina R, Zolotareva K, Kazachek A, Oshchepkov D, Bogomolov A, Klimova NV, Ivanisenko VA, Demenkov P, Mustafin Z, Markel A, Savinkova L, Kolchanov NA, Kozlov V, Ponomarenko M. Differentially Expressed Genes and Molecular Susceptibility to Human Age-Related Diseases. Int J Mol Sci 2023; 24:ijms24043996. [PMID: 36835409 PMCID: PMC9966505 DOI: 10.3390/ijms24043996] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 02/02/2023] [Accepted: 02/13/2023] [Indexed: 02/18/2023] Open
Abstract
Mainstream transcriptome profiling of susceptibility versus resistance to age-related diseases (ARDs) is focused on differentially expressed genes (DEGs) specific to gender, age, and pathogeneses. This approach fits in well with predictive, preventive, personalized, participatory medicine and helps understand how, why, when, and what ARDs one can develop depending on their genetic background. Within this mainstream paradigm, we wanted to find out whether the known ARD-linked DEGs available in PubMed can reveal a molecular marker that will serve the purpose in anyone's any tissue at any time. We sequenced the periaqueductal gray (PAG) transcriptome of tame versus aggressive rats, identified rat-behavior-related DEGs, and compared them with their known homologous animal ARD-linked DEGs. This analysis yielded statistically significant correlations between behavior-related and ARD-susceptibility-related fold changes (log2 values) in the expression of these DEG homologs. We found principal components, PC1 and PC2, corresponding to the half-sum and the half-difference of these log2 values, respectively. With the DEGs linked to ARD susceptibility and ARD resistance in humans used as controls, we verified these principal components. This yielded only one statistically significant common molecular marker for ARDs: an excess of Fcγ receptor IIb suppressing immune cell hyperactivation.
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Affiliation(s)
- Svetlana Shikhevich
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
| | - Irina Chadaeva
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
| | - Bato Khandaev
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
- The Natural Sciences Department, Novosibirsk State University, Novosibirsk 630090, Russia
| | - Rimma Kozhemyakina
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
| | - Karina Zolotareva
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
- The Natural Sciences Department, Novosibirsk State University, Novosibirsk 630090, Russia
| | - Anna Kazachek
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
- The Natural Sciences Department, Novosibirsk State University, Novosibirsk 630090, Russia
| | - Dmitry Oshchepkov
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
- The Natural Sciences Department, Novosibirsk State University, Novosibirsk 630090, Russia
| | - Anton Bogomolov
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
- The Natural Sciences Department, Novosibirsk State University, Novosibirsk 630090, Russia
| | - Natalya V. Klimova
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
| | - Vladimir A. Ivanisenko
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
- The Natural Sciences Department, Novosibirsk State University, Novosibirsk 630090, Russia
| | - Pavel Demenkov
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
| | - Zakhar Mustafin
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
- The Natural Sciences Department, Novosibirsk State University, Novosibirsk 630090, Russia
| | - Arcady Markel
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
- The Natural Sciences Department, Novosibirsk State University, Novosibirsk 630090, Russia
| | - Ludmila Savinkova
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
| | - Nikolay A. Kolchanov
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
- The Natural Sciences Department, Novosibirsk State University, Novosibirsk 630090, Russia
| | - Vladimir Kozlov
- Research Institute of Fundamental and Clinical Immunology (RIFCI) SB RAS, Novosibirsk 630099, Russia
| | - Mikhail Ponomarenko
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences (SB RAS), Novosibirsk 630090, Russia
- Correspondence: ; Tel.: +7-(383)-363-4963 (ext. 1311)
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Raus AM, Fuller TD, Nelson NE, Valientes DA, Bayat A, Ivy AS. Early-life exercise primes the murine neural epigenome to facilitate gene expression and hippocampal memory consolidation. Commun Biol 2023; 6:18. [PMID: 36611093 PMCID: PMC9825372 DOI: 10.1038/s42003-022-04393-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 12/20/2022] [Indexed: 01/09/2023] Open
Abstract
Aerobic exercise is well known to promote neuroplasticity and hippocampal memory. In the developing brain, early-life exercise (ELE) can lead to persistent improvements in hippocampal function, yet molecular mechanisms underlying this phenomenon have not been fully explored. In this study, transgenic mice harboring the "NuTRAP" (Nuclear tagging and Translating Ribosome Affinity Purification) cassette in Emx1 expressing neurons ("Emx1-NuTRAP" mice) undergo ELE during adolescence. We then simultaneously isolate and sequence translating mRNA and nuclear chromatin from single hippocampal homogenates containing Emx1-expressing neurons. This approach allowed us to couple translatomic with epigenomic sequencing data to evaluate the influence of histone modifications H4K8ac and H3K27me3 on translating mRNA after ELE. A subset of ELE mice underwent a hippocampal learning task to determine the gene expression and epigenetic underpinnings of ELE's contribution to improved hippocampal memory performance. From this experiment, we discover gene expression - histone modification relationships that may play a critical role in facilitated memory after ELE. Our data reveal candidate gene-histone modification interactions and implicate gene regulatory pathways involved in ELE's impact on hippocampal memory.
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Affiliation(s)
- Anthony M Raus
- Physiology/Biophysics, Anatomy/Neurobiology, University of California- Irvine School of Medicine, Irvine, CA, USA
| | - Tyson D Fuller
- Pediatrics, University of California- Irvine School of Medicine, Irvine, CA, USA
| | - Nellie E Nelson
- Physiology/Biophysics, Anatomy/Neurobiology, University of California- Irvine School of Medicine, Irvine, CA, USA
| | - David A Valientes
- Pediatrics, University of California- Irvine School of Medicine, Irvine, CA, USA
| | - Anita Bayat
- Pediatrics, University of California- Irvine School of Medicine, Irvine, CA, USA
| | - Autumn S Ivy
- Physiology/Biophysics, Anatomy/Neurobiology, University of California- Irvine School of Medicine, Irvine, CA, USA. .,Pediatrics, University of California- Irvine School of Medicine, Irvine, CA, USA. .,Neurobiology/Behavior, University of California- Irvine School of Biological Sciences, Irvine, CA, USA. .,Anatomy/Neurobiology, University of California- Irvine School of Medicine, Irvine, CA, USA. .,Division of Neurology, Children's Hospital Orange County, Orange, CA, USA.
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Transcription Factors as Important Regulators of Changes in Behavior through Domestication of Gray Rats: Quantitative Data from RNA Sequencing. Int J Mol Sci 2022; 23:ijms232012269. [PMID: 36293128 PMCID: PMC9603081 DOI: 10.3390/ijms232012269] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 09/28/2022] [Accepted: 10/12/2022] [Indexed: 11/16/2022] Open
Abstract
Studies on hereditary fixation of the tame-behavior phenotype during animal domestication remain relevant and important because they are of both basic research and applied significance. In model animals, gray rats Rattus norvegicus bred for either an enhancement or reduction in defensive response to humans, for the first time, we used high-throughput RNA sequencing to investigate differential expression of genes in tissue samples from the tegmental region of the midbrain in 2-month-old rats showing either tame or aggressive behavior. A total of 42 differentially expressed genes (DEGs; adjusted p-value < 0.01 and fold-change > 2) were identified, with 20 upregulated and 22 downregulated genes in the tissue samples from tame rats compared with aggressive rats. Among them, three genes encoding transcription factors (TFs) were detected: Ascl3 was upregulated, whereas Fos and Fosb were downregulated in tissue samples from the brains of tame rats brain. Other DEGs were annotated as associated with extracellular matrix components, transporter proteins, the neurotransmitter system, signaling molecules, and immune system proteins. We believe that these DEGs encode proteins that constitute a multifactorial system determining the behavior for which the rats have been artificially selected. We demonstrated that several structural subtypes of E-box motifs—known as binding sites for many developmental TFs of the bHLH class, including the ASCL subfamily of TFs—are enriched in the set of promoters of the DEGs downregulated in the tissue samples of tame rats’. Because ASCL3 may act as a repressor on target genes of other developmental TFs of the bHLH class, we hypothesize that the expression of TF gene Ascl3 in tame rats indicates longer neurogenesis (as compared to aggressive rats), which is a sign of neoteny and domestication. Thus, our domestication model shows a new function of TF ASCL3: it may play the most important role in behavioral changes in animals.
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Stress Reactivity, Susceptibility to Hypertension, and Differential Expression of Genes in Hypertensive Compared to Normotensive Patients. Int J Mol Sci 2022; 23:ijms23052835. [PMID: 35269977 PMCID: PMC8911431 DOI: 10.3390/ijms23052835] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 02/14/2022] [Accepted: 02/28/2022] [Indexed: 12/14/2022] Open
Abstract
Although half of hypertensive patients have hypertensive parents, known hypertension-related human loci identified by genome-wide analysis explain only 3% of hypertension heredity. Therefore, mainstream transcriptome profiling of hypertensive subjects addresses differentially expressed genes (DEGs) specific to gender, age, and comorbidities in accordance with predictive preventive personalized participatory medicine treating patients according to their symptoms, individual lifestyle, and genetic background. Within this mainstream paradigm, here, we determined whether, among the known hypertension-related DEGs that we could find, there is any genome-wide hypertension theranostic molecular marker applicable to everyone, everywhere, anytime. Therefore, we sequenced the hippocampal transcriptome of tame and aggressive rats, corresponding to low and high stress reactivity, an increase of which raises hypertensive risk; we identified stress-reactivity-related rat DEGs and compared them with their known homologous hypertension-related animal DEGs. This yielded significant correlations between stress reactivity-related and hypertension-related fold changes (log2 values) of these DEG homologs. We found principal components, PC1 and PC2, corresponding to a half-difference and half-sum of these log2 values. Using the DEGs of hypertensive versus normotensive patients (as the control), we verified the correlations and principal components. This analysis highlighted downregulation of β-protocadherins and hemoglobin as whole-genome hypertension theranostic molecular markers associated with a wide vascular inner diameter and low blood viscosity, respectively.
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Klimova NV, Oshchepkova E, Chadaeva I, Sharypova E, Ponomarenko P, Drachkova I, Rasskazov D, Oshchepkov D, Ponomarenko M, Savinkova L, Kolchanov NA, Kozlov V. Disruptive Selection of Human Immunostimulatory and Immunosuppressive Genes Both Provokes and Prevents Rheumatoid Arthritis, Respectively, as a Self-Domestication Syndrome. Front Genet 2021; 12:610774. [PMID: 34239535 PMCID: PMC8259950 DOI: 10.3389/fgene.2021.610774] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2020] [Accepted: 05/17/2021] [Indexed: 12/12/2022] Open
Abstract
Using our previously published Web service SNP_TATA_Comparator, we conducted a genome-wide study of single-nucleotide polymorphisms (SNPs) within core promoters of 68 human rheumatoid arthritis (RA)-related genes. Using 603 SNPs within 25 genes clinically associated with RA-comorbid disorders, we predicted 84 and 70 candidate SNP markers for overexpression and underexpression of these genes, respectively, among which 58 and 96 candidate SNP markers, respectively, can relieve and worsen RA as if there is a neutral drift toward susceptibility to RA. Similarly, we predicted natural selection toward susceptibility to RA for 8 immunostimulatory genes (e.g., IL9R) and 10 genes most often associated with RA (e.g., NPY). On the contrary, using 25 immunosuppressive genes, we predicted 70 and 109 candidate SNP markers aggravating and relieving RA, respectively (e.g., IL1R2 and TGFB2), suggesting that natural selection can simultaneously additionally yield resistance to RA. We concluded that disruptive natural selection of human immunostimulatory and immunosuppressive genes is concurrently elevating and reducing the risk of RA, respectively. So, we hypothesize that RA in human could be a self-domestication syndrome referring to evolution patterns in domestic animals. We tested this hypothesis by means of public RNA-Seq data on 1740 differentially expressed genes (DEGs) of pets vs. wild animals (e.g., dogs vs. wolves). The number of DEGs in the domestic animals corresponding to worsened RA condition in humans was significantly larger than that in the related wild animals (10 vs. 3). Moreover, much less DEGs in the domestic animals were accordant to relieved RA condition in humans than those in the wild animals (1 vs. 8 genes). This indicates that the anthropogenic environment, in contrast to a natural one, affects gene expression across the whole genome (e.g., immunostimulatory and immunosuppressive genes) in a manner that likely contributes to RA. The difference in gene numbers is statistically significant as confirmed by binomial distribution (p < 0.01), Pearson's χ2 (p < 0.01), and Fisher's exact test (p < 0.05). This allows us to propose RA as a candidate symptom within a self-domestication syndrome. Such syndrome might be considered as a human's payment with health for the benefits received during evolution.
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Affiliation(s)
- Natalya V Klimova
- Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences (ICG SB RAS), Novosibirsk, Russia
| | - Evgeniya Oshchepkova
- Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences (ICG SB RAS), Novosibirsk, Russia
| | - Irina Chadaeva
- Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences (ICG SB RAS), Novosibirsk, Russia
| | - Ekaterina Sharypova
- Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences (ICG SB RAS), Novosibirsk, Russia
| | - Petr Ponomarenko
- Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences (ICG SB RAS), Novosibirsk, Russia
| | - Irina Drachkova
- Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences (ICG SB RAS), Novosibirsk, Russia
| | - Dmitry Rasskazov
- Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences (ICG SB RAS), Novosibirsk, Russia
| | - Dmitry Oshchepkov
- Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences (ICG SB RAS), Novosibirsk, Russia
| | - Mikhail Ponomarenko
- Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences (ICG SB RAS), Novosibirsk, Russia.,Research Institute of Fundamental and Clinical Immunology (RIFCI SB RAS), Novosibirsk, Russia
| | - Ludmila Savinkova
- Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences (ICG SB RAS), Novosibirsk, Russia
| | - Nikolay A Kolchanov
- Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences (ICG SB RAS), Novosibirsk, Russia
| | - Vladimir Kozlov
- Research Institute of Fundamental and Clinical Immunology (RIFCI SB RAS), Novosibirsk, Russia
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Ponomarenko MP, Sharypova EB, Drachkova IA, Savinkova LK, Chadaeva IV, Rasskazov DA, Ponomarenko PM, Osadchuk LV, Osadchuk AV. [Candidate SNP-markers altering TBP binding affinity for promoters of the Y-linked genes CDY2A, SHOX, and ZFY are lowering many indexes of reproductive potential in men]. Vavilovskii Zhurnal Genet Selektsii 2020; 24:785-793. [PMID: 33959695 PMCID: PMC8094035 DOI: 10.18699/vj20.674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Репродуктивный потенциал – уровень физического и психического состояния организма, позволяю-
щий при достижении социальной зрелости воспроизводить здоровое потомство. В узком биомедицинском смыс-
ле определение включает комплекс функциональных показателей репродуктивной системы, но в более широком
смысле его можно рассматривать как совокупность физиологических, поведенческих, адаптивных, ментальных, ан-
тропометрических и генетических характеристик особи, способствующих размножению. Целью настоящей работы
было расширить область применимости созданного ранее Web-сервиса SNP_TATA_Z-tester для поиска кандидатных
маркеров однонуклеотидного полиморфизма (SNP) на хромосоме Y человека, связанных с мужским репродуктив-
ным потенциалом (МРП). В поиске кандидатных SNP-маркеров для МРП мы сосредоточились на генах хромосомы Y
человека. Изучены 35 SNP в промоторах генов CDY2A, SHOX и ZFY, представляющих все три типа генов хромосомы Y
человека: уникальный, псевдоаутосомный и паралог гена хромосомы X человека соответственно. Предсказаны
11 кандидатных SNP-маркеров ослабления МРП из-за изменения сродства TATA-связывающего белка (TBP) к этим
промоторам. Выборочно верифицированы in vitro величины сродства «TBP-промотор», предсказанные в этой рабо-
те. Установлена достоверная корреляция (r = 0.94, p < 0.005) между ними и результатами измерения in vitro сродства
ТВР человека к олигонуклеотидам, идентичным сайтам ТВР-связывания исследуемых промоторов. Проведя поиск в
базе данных PubMed по ключевым словам, мы нашли клиническое описание патологических состояний человека,
соответствующих изменению экспрессии генов, несущих предсказанные нами кандидатные SNP-маркеры. Среди
них оказались такие патологии, как нарушение сперматогенеза (ZFY: rs1388535808 и rs996955491), задержка поло-
вого созревания (CDY2A: rs200670724), нарушения эмбриогенеза (SHOX: rs28378830) и непропорционально низкий
рост с деформациями Маделунга (SHOX: rs1452787381). Они свидетельствуют, что в случае SNP-промоторов генов
хромосомы Y человека следует ожидать изменений широкого круга показателей МРП, выходящих далеко за рамки
генетического контроля собственно мужской репродуктивной функции.
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Affiliation(s)
- M P Ponomarenko
- Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia Novosibirsk State University, Novosibirsk, Russia
| | - E B Sharypova
- Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - I A Drachkova
- Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - L K Savinkova
- Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - I V Chadaeva
- Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - D A Rasskazov
- Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - P M Ponomarenko
- Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - L V Osadchuk
- Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - A V Osadchuk
- Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
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The rise and fall of globins in the amphibia. COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY D-GENOMICS & PROTEOMICS 2020; 37:100759. [PMID: 33202310 DOI: 10.1016/j.cbd.2020.100759] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2020] [Revised: 10/23/2020] [Accepted: 10/29/2020] [Indexed: 12/28/2022]
Abstract
The globin gene repertoire of gnathostome vertebrates is dictated by differential retention and loss of nine paralogous genes: androglobin, neuroglobin, globin X, cytoglobin, globin Y, myoglobin, globin E, and the α- and β-globins. We report the globin gene repertoire of three orders of modern amphibians: Anura, Caudata, and Gymnophiona. Combining phylogenetic and conserved synteny analysis, we show that myoglobin and globin E were lost only in the Batrachia clade, but retained in Gymnophiona. The major amphibian groups also retained different paralogous copies of globin X. None of the amphibian presented αD-globin gene. Nevertheless, two clades of β-globins are present in all amphibians, indicating that the amphibian ancestor possessed two paralogous proto β-globins. We also show that orthologs of the gene coding for the monomeric hemoglobin found in the heart of Rana catesbeiana are present in Neobatrachia and Pelobatoidea species we analyzed. We suggest that these genes might perform myoglobin- and globin E-related functions. We conclude that the repertoire of globin genes in amphibians is dictated by both retention and loss of the paralogous genes cited above and the rise of a new globin gene through co-option of an α-globin, possibly facilitated by a prior event of transposition.
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Ponomarenko M, Kleshchev M, Ponomarenko P, Chadaeva I, Sharypova E, Rasskazov D, Kolmykov S, Drachkova I, Vasiliev G, Gutorova N, Ignatieva E, Savinkova L, Bogomolov A, Osadchuk L, Osadchuk A, Oshchepkov D. Disruptive natural selection by male reproductive potential prevents underexpression of protein-coding genes on the human Y chromosome as a self-domestication syndrome. BMC Genet 2020; 21:89. [PMID: 33092533 PMCID: PMC7583315 DOI: 10.1186/s12863-020-00896-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Accepted: 08/04/2020] [Indexed: 12/30/2022] Open
Abstract
Background In population ecology, the concept of reproductive potential denotes the most vital indicator of chances to produce and sustain a healthy descendant until his/her reproductive maturity under the best conditions. This concept links quality of life and longevity of an individual with disease susceptibilities encoded by his/her genome. Female reproductive potential has been investigated deeply, widely, and comprehensively in the past, but the male one has not received an equal amount of attention. Therefore, here we focused on the human Y chromosome and found candidate single-nucleotide polymorphism (SNP) markers of male reproductive potential. Results Examining in silico (i.e., using our earlier created Web-service SNP_TATA_Z-tester) all 1206 unannotated SNPs within 70 bp proximal promoters of all 63 Y-linked genes, we found 261 possible male-reproductive-potential SNP markers that can significantly alter the binding affinity of TATA-binding protein (TBP) for these promoters. Among them, there are candidate SNP markers of spermatogenesis disorders (e.g., rs1402972626), pediatric cancer (e.g., rs1483581212) as well as male anxiety damaging family relationships and mother’s and children’s health (e.g., rs187456378). First of all, we selectively verified in vitro both absolute and relative values of the analyzed TBP–promoter affinity, whose Pearson’s coefficients of correlation between predicted and measured values were r = 0.84 (significance p < 0.025) and r = 0.98 (p < 0.025), respectively. Next, we found that there are twofold fewer candidate SNP markers decreasing TBP–promoter affinity relative to those increasing it, whereas in the genome-wide norm, SNP-induced damage to TBP–promoter complexes is fourfold more frequent than SNP-induced improvement (p < 0.05, binomial distribution). This means natural selection against underexpression of these genes. Meanwhile, the numbers of candidate SNP markers of an increase and decrease in male reproductive potential were indistinguishably equal to each other (p < 0.05) as if male self-domestication could have happened, with its experimentally known disruptive natural selection. Because there is still not enough scientific evidence that this could have happened, we discuss the human diseases associated with candidate SNP markers of male reproductive potential that may correspond to domestication-related disorders in pets. Conclusions Overall, our findings seem to support a self-domestication syndrome with disruptive natural selection by male reproductive potential preventing Y-linked underexpression of a protein.
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Affiliation(s)
- Mikhail Ponomarenko
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Ave, Novosibirsk, 630090, Russia. .,Novosibirsk State University, 1, Pirogova str., Novosibirsk, 630090, Russia.
| | - Maxim Kleshchev
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Ave, Novosibirsk, 630090, Russia
| | - Petr Ponomarenko
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Ave, Novosibirsk, 630090, Russia
| | - Irina Chadaeva
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Ave, Novosibirsk, 630090, Russia
| | - Ekaterina Sharypova
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Ave, Novosibirsk, 630090, Russia
| | - Dmitry Rasskazov
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Ave, Novosibirsk, 630090, Russia
| | - Semyon Kolmykov
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Ave, Novosibirsk, 630090, Russia
| | - Irina Drachkova
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Ave, Novosibirsk, 630090, Russia
| | - Gennady Vasiliev
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Ave, Novosibirsk, 630090, Russia
| | - Natalia Gutorova
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Ave, Novosibirsk, 630090, Russia
| | - Elena Ignatieva
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Ave, Novosibirsk, 630090, Russia
| | - Ludmila Savinkova
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Ave, Novosibirsk, 630090, Russia
| | - Anton Bogomolov
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Ave, Novosibirsk, 630090, Russia
| | - Ludmila Osadchuk
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Ave, Novosibirsk, 630090, Russia
| | - Alexandr Osadchuk
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Ave, Novosibirsk, 630090, Russia
| | - Dmitry Oshchepkov
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Ave, Novosibirsk, 630090, Russia
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11
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Ponomarenko M, Sharypova E, Drachkova I, Chadaeva I, Arkova O, Podkolodnaya O, Ponomarenko P, Kolchanov N, Savinkova L. Unannotated single nucleotide polymorphisms in the TATA box of erythropoiesis genes show in vitro positive involvements in cognitive and mental disorders. BMC MEDICAL GENETICS 2020; 21:165. [PMID: 33092544 PMCID: PMC7579878 DOI: 10.1186/s12881-020-01106-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Accepted: 08/11/2020] [Indexed: 12/20/2022]
Abstract
BACKGROUND Hemoglobin is a tetramer consisting of two α-chains and two β-chains of globin. Hereditary aberrations in the synthesis of one of the globin chains are at the root of thalassemia, one of the most prevalent monogenic diseases worldwide. In humans, in addition to α- and β-globins, embryonic zeta-globin and fetal γ-globin are expressed. Immediately after birth, the expression of fetal Aγ- and Gγ-globin ceases, and then adult β-globin is mostly expressed. It has been shown that in addition to erythroid cells, hemoglobin is widely expressed in nonerythroid cells including neurons of the cortex, hippocampus, and cerebellum in rodents; embryonic and adult brain neurons in mice; and mesencephalic dopaminergic brain cells in humans, mice, and rats. Lately, there is growing evidence that different forms of anemia (changes in the number and quality of blood cells) may be involved in (or may accompany) the pathogenesis of various cognitive and mental disorders, such as Alzheimer's and Parkinson's diseases, depression of various severity levels, bipolar disorders, and schizophrenia. Higher hemoglobin concentrations in the blood may lead to hyperviscosity, hypovolemia, and lung diseases, which may cause brain hypoxia and anomalies of brain function, which may also result in cognitive deficits. METHODS In this study, a search for unannotated single-nucleotide polymorphisms (SNPs) of erythroid genes was initially performed using our previously created and published SNP-TATA_Z-tester, which is a Web service for computational analysis of a given SNP for in silico estimation of its influence on the affinity of TATA-binding protein (TBP) for TATA and TATA-like sequences. The obtained predictions were finally verified in vitro by an electrophoretic mobility shift assay (EMSA). RESULTS On the basis of these experimental in vitro results and literature data, we studied TATA box SNPs influencing both human erythropoiesis and cognitive abilities. For instance, TBP-TATA affinity in the HbZ promoter decreases 6.6-fold as a result of a substitution in the TATA box (rs113180943), thereby possibly disrupting stage-dependent events of "switching" of hemoglobin genes and thus causing erythroblastosis. Therefore, rs113180943 may be a candidate marker of severe hemoglobinopathies with comorbid cognitive and mental disorders associated with cerebral blood flow disturbances. CONCLUSIONS The literature data and experimental and computations results suggest that the uncovered candidate SNP markers of erythropoiesis anomalies may also be studied in cohorts of patients with cognitive and/or mental disorders with comorbid erythropoiesis diseases in comparison to conventionally healthy volunteers. Research into the regulatory mechanisms by which the identified SNP markers contribute to the development of hemoglobinopathies and of the associated cognitive deficits will allow physicians not only to take timely and adequate measures against hemoglobinopathies but also to implement strategies preventing cognitive and mental disorders.
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Affiliation(s)
- Mikhail Ponomarenko
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Ave, Novosibirsk, 630090, Russia. .,Novosibirsk State University, 1 Pirogova Street, Novosibirsk, 630090, Russia.
| | - Ekaterina Sharypova
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Ave, Novosibirsk, 630090, Russia
| | - Irina Drachkova
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Ave, Novosibirsk, 630090, Russia
| | - Irina Chadaeva
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Ave, Novosibirsk, 630090, Russia
| | - Olga Arkova
- Institute of Gene Biology Russian Academy of Sciences, 34/5 Vavilova Street, Moscow, 119334, Russia
| | - Olga Podkolodnaya
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Ave, Novosibirsk, 630090, Russia
| | - Petr Ponomarenko
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Ave, Novosibirsk, 630090, Russia
| | - Nikolay Kolchanov
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Ave, Novosibirsk, 630090, Russia
| | - Ludmila Savinkova
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Ave, Novosibirsk, 630090, Russia
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12
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Neil K, Allard N, Grenier F, Burrus V, Rodrigue S. Highly efficient gene transfer in the mouse gut microbiota is enabled by the Incl 2 conjugative plasmid TP114. Commun Biol 2020; 3:523. [PMID: 32963323 PMCID: PMC7508951 DOI: 10.1038/s42003-020-01253-0] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Accepted: 08/24/2020] [Indexed: 12/12/2022] Open
Abstract
The gut microbiota is a suspected hotspot for bacterial conjugation due to its high density and diversity of microorganisms. However, the contribution of different conjugative plasmid families to horizontal gene transfer in this environment remains poorly characterized. Here, we systematically quantified the transfer rates in the mouse intestinal tract for 13 conjugative plasmids encompassing 10 major incompatibility groups. The vast majority of these plasmids were unable to perform conjugation in situ or only reached relatively low transfer rates. Surprisingly, IncI2 conjugative plasmid TP114 was identified as a proficient DNA delivery system in this environment, with the ability to transfer to virtually 100% of the probed recipient bacteria. We also show that a type IV pilus present in I-complex conjugative plasmids plays a crucial role for the transfer of TP114 in the mouse intestinal microbiota, most likely by contributing to mating pair stabilization. These results provide new insights on the mobility of genes in the gut microbiota and highlights TP114 as a very efficient DNA delivery system of interest for microbiome editing tools.
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Affiliation(s)
- Kevin Neil
- Département de biologie, Université de Sherbrooke, Sherbrooke, QC, J1K 2R1, Canada
| | - Nancy Allard
- Département de biologie, Université de Sherbrooke, Sherbrooke, QC, J1K 2R1, Canada
| | - Frédéric Grenier
- Département de biologie, Université de Sherbrooke, Sherbrooke, QC, J1K 2R1, Canada
| | - Vincent Burrus
- Département de biologie, Université de Sherbrooke, Sherbrooke, QC, J1K 2R1, Canada
| | - Sébastien Rodrigue
- Département de biologie, Université de Sherbrooke, Sherbrooke, QC, J1K 2R1, Canada.
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13
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Lee CM, Barber GP, Casper J, Clawson H, Diekhans M, Gonzalez JN, Hinrichs AS, Lee BT, Nassar LR, Powell CC, Raney BJ, Rosenbloom KR, Schmelter D, Speir ML, Zweig AS, Haussler D, Haeussler M, Kuhn RM, Kent WJ. UCSC Genome Browser enters 20th year. Nucleic Acids Res 2020; 48:D756-D761. [PMID: 31691824 PMCID: PMC7145642 DOI: 10.1093/nar/gkz1012] [Citation(s) in RCA: 77] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Revised: 10/16/2019] [Accepted: 10/25/2019] [Indexed: 12/27/2022] Open
Abstract
The University of California Santa Cruz Genome Browser website (https://genome.ucsc.edu) enters its 20th year of providing high-quality genomics data visualization and genome annotations to the research community. In the past year, we have added a new option to our web BLAT tool that allows search against all genomes, a single-cell expression viewer (https://cells.ucsc.edu), a ‘lollipop’ plot display mode for high-density variation data, a RESTful API for data extraction and a custom-track backup feature. New datasets include Tabula Muris single-cell expression data, GeneHancer regulatory annotations, The Cancer Genome Atlas Pan-Cancer variants, Genome Reference Consortium Patch sequences, new ENCODE transcription factor binding site peaks and clusters, the Database of Genomic Variants Gold Standard Variants, Genomenon Mastermind variants and three new multi-species alignment tracks.
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Affiliation(s)
- Christopher M Lee
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Galt P Barber
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Jonathan Casper
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Hiram Clawson
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Mark Diekhans
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | | | - Angie S Hinrichs
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Brian T Lee
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Luis R Nassar
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Conner C Powell
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Brian J Raney
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Kate R Rosenbloom
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Daniel Schmelter
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Matthew L Speir
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Ann S Zweig
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - David Haussler
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA.,Howard Hughes Medical Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Maximilian Haeussler
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Robert M Kuhn
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - W James Kent
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
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14
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Candidate SNP Markers of Atherogenesis Significantly Shifting the Affinity of TATA-Binding Protein for Human Gene Promoters show stabilizing Natural Selection as a Sum of Neutral Drift Accelerating Atherogenesis and Directional Natural Selection Slowing It. Int J Mol Sci 2020; 21:ijms21031045. [PMID: 32033288 PMCID: PMC7037642 DOI: 10.3390/ijms21031045] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Revised: 02/03/2020] [Accepted: 02/04/2020] [Indexed: 12/15/2022] Open
Abstract
(1) Background: The World Health Organization (WHO) regards atherosclerosis-related myocardial infarction and stroke as the main causes of death in humans. Susceptibility to atherogenesis-associated diseases is caused by single-nucleotide polymorphisms (SNPs). (2) Methods: Using our previously developed public web-service SNP_TATA_Comparator, we estimated statistical significance of the SNP-caused alterations in TATA-binding protein (TBP) binding affinity for 70 bp proximal promoter regions of the human genes clinically associated with diseases syntonic or dystonic with atherogenesis. Additionally, we did the same for several genes related to the maintenance of mitochondrial genome integrity, according to present-day active research aimed at retarding atherogenesis. (3) Results: In dbSNP, we found 1186 SNPs altering such affinity to the same extent as clinical SNP markers do (as estimated). Particularly, clinical SNP marker rs2276109 can prevent autoimmune diseases via reduced TBP affinity for the human MMP12 gene promoter and therefore macrophage elastase deficiency, which is a well-known physiological marker of accelerated atherogenesis that could be retarded nutritionally using dairy fermented by lactobacilli. (4) Conclusions: Our results uncovered SNPs near clinical SNP markers as the basis of neutral drift accelerating atherogenesis and SNPs of genes encoding proteins related to mitochondrial genome integrity and microRNA genes associated with instability of the atherosclerotic plaque as a basis of directional natural selection slowing atherogenesis. Their sum may be stabilizing the natural selection that sets the normal level of atherogenesis.
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15
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Chadaeva IV, Rasskazov DA, Sharypova EB, Drachkova IA, Oshchepkova EA, Savinkova LK, Ponomarenko PM, Ponomarenko MP, Kolchanov NA, Kozlov VA. Сandidate SNP-markers of rheumatoid arthritis that can significantly alter the affinity of the TATA-binding protein for human gene promoters. Vavilovskii Zhurnal Genet Selektsii 2020. [DOI: 10.18699/vj19.586] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
Rheumatoid polyarthritis (RA) is an autoimmune disease with autoantibodies, including antibodies to citrullant antigens and proinflammatory cytokines, such as TNF-α and IL-6, which are involved in the induction of chronic synovitis, bone erosion, followed by deformity. Immunopathogenesis is based on the mechanisms of the breakdown of immune tolerance to its own antigens, which is characterized by an increase in the activity of T-effector cells, causing RA symptomatology. At the same time, against the background of such increased activity of effector lymphocytes, a decrease in the activity of a number of regulatory cells, including regulatory T-cells (Treg) and myeloid suppressor cells, is recorded. There is reason to say that it is the change in the activity of suppressor cells that is the leading element in RA pathogenesis. That is why only periods of weakening (remission) of RA are spoken of. According to the more powerful female immune system compared to the male one, the risk of developing RA in women is thrice as high, this risk decreases during breastfeeding and grows during pregnancy as well as after menopause in proportion to the level of sex hormones. It is believed that 50 % of the risk of developing RA depends on the conditions and lifestyle, while the remaining 50 % is dependent on genetic predisposition. That is why, RA fits the main idea of postgenomic predictive-preventive personalized medicine that is to give a chance to those who would like to reduce his/her risk of diseases by bringing his/her conditions and lifestyle in line with the data on his/her genome sequenced. This is very important, since doctors consider RA as one of the most frequent causes of disability. Using the Web service SNP_TATA_Z-tester (http://beehive.bionet.nsc.ru/cgi-bin/mgs/tatascan_fox/start.pl), 227 variants of single nucleotide polymorphism (SNP) of the human gene promoters were studied. As a result, 43 candidate SNP markers for RA that can alter the affinity of the TATA-binding protein (TBP) for the promoters of these genes were predicted.
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Affiliation(s)
- I. V. Chadaeva
- Institute of Cytology and Genetics, SB RAS; Novosibirsk State University
| | | | | | | | | | | | | | - M. P. Ponomarenko
- Institute of Cytology and Genetics, SB RAS; Novosibirsk State University
| | - N. A. Kolchanov
- Institute of Cytology and Genetics, SB RAS; Novosibirsk State University
| | - V. A. Kozlov
- Research Institute of Fundamental and Clinical Immunology
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16
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Ponomarenko MP, Rasskazov DA, Chadaeva IV, Sharypova EB, Drachkova IA, Ponomarenko PM, Oshchepkova EA, Savinkova LK, Kolchanov NA. Candidate SNP Markers of Atherosclerosis That May Significantly Change the Affinity of the TATA-Binding Protein for the Human Gene Promoters. RUSS J GENET+ 2019. [DOI: 10.1134/s1022795419090114] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
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17
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Casper J, Zweig AS, Villarreal C, Tyner C, Speir ML, Rosenbloom KR, Raney BJ, Lee CM, Lee BT, Karolchik D, Hinrichs AS, Haeussler M, Guruvadoo L, Navarro Gonzalez J, Gibson D, Fiddes IT, Eisenhart C, Diekhans M, Clawson H, Barber GP, Armstrong J, Haussler D, Kuhn RM, Kent WJ. The UCSC Genome Browser database: 2018 update. Nucleic Acids Res 2019; 46:D762-D769. [PMID: 29106570 PMCID: PMC5753355 DOI: 10.1093/nar/gkx1020] [Citation(s) in RCA: 338] [Impact Index Per Article: 67.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2017] [Accepted: 10/18/2017] [Indexed: 12/14/2022] Open
Abstract
The UCSC Genome Browser (https://genome.ucsc.edu) provides a web interface for exploring annotated genome assemblies. The assemblies and annotation tracks are updated on an ongoing basis—12 assemblies and more than 28 tracks were added in the past year. Two recent additions are a display of CRISPR/Cas9 guide sequences and an interactive navigator for gene interactions. Other upgrades from the past year include a command-line version of the Variant Annotation Integrator, support for Human Genome Variation Society variant nomenclature input and output, and a revised highlighting tool that now supports multiple simultaneous regions and colors.
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Affiliation(s)
- Jonathan Casper
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Ann S Zweig
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Chris Villarreal
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Cath Tyner
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Matthew L Speir
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Kate R Rosenbloom
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Brian J Raney
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Christopher M Lee
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Brian T Lee
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Donna Karolchik
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Angie S Hinrichs
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Maximilian Haeussler
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Luvina Guruvadoo
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | | | - David Gibson
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Ian T Fiddes
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | | | - Mark Diekhans
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Hiram Clawson
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Galt P Barber
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Joel Armstrong
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - David Haussler
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA.,Howard Hughes Medical Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Robert M Kuhn
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - W James Kent
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
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18
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Messinger JE, Dai J, Stanland LJ, Price AM, Luftig MA. Identification of Host Biomarkers of Epstein-Barr Virus Latency IIb and Latency III. mBio 2019; 10:e01006-19. [PMID: 31266868 PMCID: PMC6606803 DOI: 10.1128/mbio.01006-19] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2019] [Accepted: 06/06/2019] [Indexed: 12/14/2022] Open
Abstract
Deciphering the molecular pathogenesis of virally induced cancers is challenging due, in part, to the heterogeneity of both viral gene expression and host gene expression. Epstein-Barr virus (EBV) is a ubiquitous herpesvirus prevalent in B-cell lymphomas of immune-suppressed individuals. EBV infection of primary human B cells leads to their immortalization into lymphoblastoid cell lines (LCLs), serving as a model of these lymphomas. In previous studies, reports from our laboratory have described a temporal model for immortalization with an initial phase characterized by expression of Epstein-Barr nuclear antigens (EBNAs), high levels of c-Myc activity, and hyperproliferation in the absence of the latent membrane proteins (LMPs), called latency IIb. This is followed by the long-term outgrowth of LCLs expressing the EBNAs along with the LMPs, particularly NFκB-activating LMP1, defining latency III. However, LCLs express a broad distribution of LMP1 such that a subset of these cells express LMP1 at levels similar to those seen in latency IIb, making it difficult to distinguish these two latency states. In this study, we performed mRNA sequencing (mRNA-Seq) on early EBV-infected latency IIb cells and latency III LCLs sorted by NFκB activity. We found that latency IIb transcriptomes clustered independently from latency III independently of NFκB. We identified and validated mRNAs defining these latency states. Indeed, we were able to distinguish latency IIb cells from LCLs expressing low levels of LMP1 using multiplex RNA-fluorescence in situ hybridization (RNA-FISH) targeting EBV EBNA2 or LMP1 and human CCR7 or MGST1 This report defines latency IIb as a bona fide latency state independent from latency III and identifies biomarkers for understanding EBV-associated tumor heterogeneity.IMPORTANCE EBV is a ubiquitous pathogen, with >95% of adults harboring a life-long latent infection in memory B cells. In immunocompromised individuals, latent EBV infection can result in lymphoma. The established expression profile of these lymphomas is latency III, which includes expression of all latency genes. However, single-cell analysis of EBV latent gene expression in these lymphomas suggests heterogeneity where most cells express the transcription factor, EBNA2, and only a fraction of the cells express membrane protein LMP1. Our work describes an early phase after infection where the EBNAs are expressed without LMP1, called latency IIb. However, LMP1 levels within latency III vary widely, making these states hard to discriminate. This may have important implications for therapeutic responses. It is crucial to distinguish these states to understand the molecular pathogenesis of these lymphomas. Ultimately, better tools to understand the heterogeneity of these cancers will support more-efficacious therapies in the future.
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Affiliation(s)
- Joshua E Messinger
- Department of Molecular Genetics and Microbiology, Duke Center for Virology, Duke University School of Medicine, Durham, North Carolina, USA
| | - Joanne Dai
- Department of Molecular Genetics and Microbiology, Duke Center for Virology, Duke University School of Medicine, Durham, North Carolina, USA
| | - Lyla J Stanland
- Department of Molecular Genetics and Microbiology, Duke Center for Virology, Duke University School of Medicine, Durham, North Carolina, USA
| | - Alexander M Price
- Department of Molecular Genetics and Microbiology, Duke Center for Virology, Duke University School of Medicine, Durham, North Carolina, USA
| | - Micah A Luftig
- Department of Molecular Genetics and Microbiology, Duke Center for Virology, Duke University School of Medicine, Durham, North Carolina, USA
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Uralsky L, Shepelev V, Alexandrov A, Yurov Y, Rogaev E, Alexandrov I. Classification and monomer-by-monomer annotation dataset of suprachromosomal family 1 alpha satellite higher-order repeats in hg38 human genome assembly. Data Brief 2019; 24:103708. [PMID: 30989093 PMCID: PMC6447721 DOI: 10.1016/j.dib.2019.103708] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2018] [Revised: 01/16/2019] [Accepted: 01/22/2019] [Indexed: 01/27/2023] Open
Abstract
In the latest hg38 human genome assembly, centromeric gaps has been filled in by alpha satellite (AS) reference models (RMs) which are statistical representations of homogeneous higher-order repeat (HOR) arrays that make up the bulk of the centromeric regions. We analyzed these models to compose an atlas of human AS HORs where each monomer of a HOR was represented by a number of its polymorphic sequence variants. We combined these data and HMMER sequence analysis platform to annotate AS HORs in the assembly. This led to discovery of a new type of low copy number highly divergent HORs which were not represented by RMs. These were included in the dataset. The annotation can be viewed as UCSC Genome Browser custom track (the HOR-track) and used together with our previous annotation of AS suprachromosomal families (SFs) in the same assembly, where each AS monomer can be viewed in its genomic context together with its classification into one of the 5 major SFs (the SF-track). To catalog the diversity of AS HORs in the human genome we introduced a new naming system. Each HOR received a name which showed its SF, chromosomal location and index number. Here we present the first installment of the HOR-track covering only the 17 HORs that belong to SF1 which forms live functional centromeres in chromosomes 1, 3, 5, 6, 7, 10, 12, 16 and 19 and also a large number of minor dead HOR domains, both homogeneous and divergent. Monomer-by-monomer HOR annotation used for this dataset as opposed to annotation of whole HOR repeats provides for mapping and quantification of various structural variants of AS HORs which can be used to collect data on inter-individual polymorphism of AS.
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Affiliation(s)
- L.I. Uralsky
- Institute of Molecular Genetics, Russian Academy of Sciences, Kurchatov Sq. 2, Moscow 123182, Russia
- Department of Genomics and Human Genetics, Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow 119991, Russia
| | - V.A. Shepelev
- Institute of Molecular Genetics, Russian Academy of Sciences, Kurchatov Sq. 2, Moscow 123182, Russia
- Department of Genomics and Human Genetics, Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow 119991, Russia
| | - A.A. Alexandrov
- Institute of Molecular Genetics, Russian Academy of Sciences, Kurchatov Sq. 2, Moscow 123182, Russia
| | - Y.B. Yurov
- Research Center of Mental Health, Zagorodnoe Sh. 2, Moscow 113152, Russia
| | - E.I. Rogaev
- Department of Genomics and Human Genetics, Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow 119991, Russia
- Department of Psychiatry, Brudnick Neuropsychiatric Research Institute, University of Massachusetts Medical School, Worcester, MA 01604, USA
- Lomonosov Moscow State University, Biological Department, Center for Genetics and Genetic Technologies, Moscow, 119192, Russia
- Corresponding authors. Department of Genomics and Human Genetics, Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow 119991, Russia.
| | - I.A. Alexandrov
- Department of Genomics and Human Genetics, Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow 119991, Russia
- Research Center of Mental Health, Zagorodnoe Sh. 2, Moscow 113152, Russia
- Corresponding authors. Department of Genomics and Human Genetics, Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow 119991, Russia.
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20
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Chadaeva I, Ponomarenko P, Rasskazov D, Sharypova E, Kashina E, Kleshchev M, Ponomarenko M, Naumenko V, Savinkova L, Kolchanov N, Osadchuk L, Osadchuk A. Natural Selection Equally Supports the Human Tendencies in Subordination and Domination: A Genome-Wide Study With in silico Confirmation and in vivo Validation in Mice. Front Genet 2019; 10:73. [PMID: 30873204 PMCID: PMC6404730 DOI: 10.3389/fgene.2019.00073] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Accepted: 01/28/2019] [Indexed: 12/29/2022] Open
Abstract
We proposed the following heuristic decision-making rule: "IF {an excess of a protein relating to the nervous system is an experimentally known physiological marker of low pain sensitivity, fast postinjury recovery, or aggressive, risk/novelty-seeking, anesthetic-like, or similar agonistic-intolerant behavior} AND IF {a single nucleotide polymorphism (SNP) causes overexpression of the gene encoding this protein} THEN {this SNP can be a SNP marker of the tendency in dominance} WHILE {underexpression corresponds to subordination} AND vice versa." Using this decision-making rule, we analyzed 231 human genes of neuropeptidergic, non-neuropeptidergic, and neurotrophinergic systems that encode neurotrophic and growth factors, interleukins, neurotransmitters, receptors, transporters, and enzymes. These proteins are known as key factors of human social behavior. We analyzed all the 5,052 SNPs within the 70 bp promoter region upstream of the position where the protein-coding transcript starts, which were retrieved from databases Ensembl and dbSNP using our previously created public Web service SNP_TATA_Comparator (http://beehive.bionet.nsc.ru/cgi-bin/mgs/tatascan/start.pl). This definition of the promoter region includes all TATA-binding protein (TBP)-binding sites. A total of 556 and 552 candidate SNP markers contributing to the dominance and the subordination, respectively, were uncovered. On this basis, we determined that 231 human genes under study are subject to natural selection against underexpression (significance p < 0.0005), which equally supports the human tendencies in domination and subordination such as the norm of a reaction (plasticity) of the human social hierarchy. These findings explain vertical transmission of domination and subordination traits previously observed in rodent models. Thus, the results of this study equally support both sides of the century-old unsettled scientific debate on whether both aggressiveness and the social hierarchy among humans are inherited (as suggested by Freud and Lorenz) or are due to non-genetic social education, when the children are influenced by older individuals across generations (as proposed by Berkowitz and Fromm).
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Affiliation(s)
- Irina Chadaeva
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia
- Novosibirsk State University, Novosibirsk, Russia
| | | | | | | | | | - Maxim Kleshchev
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia
| | - Mikhail Ponomarenko
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia
- Novosibirsk State University, Novosibirsk, Russia
| | - Vladimir Naumenko
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia
| | | | - Nikolay Kolchanov
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia
- Novosibirsk State University, Novosibirsk, Russia
| | - Ludmila Osadchuk
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia
| | - Alexandr Osadchuk
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia
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21
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Zhang X, Guo Y, Yang J, Niu J, Du L, Li H, Li X. A functional variant alters binding of activating protein 1 regulating expression of FGF7 gene associated with chronic obstructive pulmonary disease. BMC MEDICAL GENETICS 2019; 20:33. [PMID: 30777021 PMCID: PMC6380023 DOI: 10.1186/s12881-019-0761-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/13/2018] [Accepted: 01/29/2019] [Indexed: 02/07/2023]
Abstract
Background Genome-wide association studies (GWASs) of a large cohort of subjects with chronic obstructive pulmonary disease (COPD) have successfully identified multiple risk genes, including fibroblast growth factor 7 (FGF7). However, the underlying molecular mechanism influencing function of FGF7 and risk of COPD remains further study. Methods In this study, we replicated the genetic association of variants near the FGF7 gene in 258 Chinese Han patients with COPD and 311 healthy controls. Additionally, we functionally evaluated a candidate causal variant upstream of the FGF7 gene. Results The most significant association was observed at rs12905203 (P = 5.9 × 10− 3, odd ratio, OR = 1.516) that explains associations of previously reported variants at the FGF7 locus. Electrophoretic mobility shift assay (EMSA) and chromatin immunoprecipitation-quantitative polymerase chain reaction (ChIP-qPCR) assays showed that the risk allele of the variant was bound to activator protein 1 transcription factors (c-Fos and c-Jun) with a significantly reduced affinity and associated with decreased mRNA expression of FGF7 in fibroblast cells at both resting and PMA/Ionomycin-stimulated conditions. Overexpression of c-Fos and c-Jun proteins or stimulation with PMA/Ionomycin significantly increases mRNA expression of FGF7 in fibroblast cells. Bioinformatic analysis showed that the variant overlaps with multiple genetic regulatory marks, suggesting the regulatory DNA element might function as an enhancer for the FGF7 gene. Luciferase enhancer activity assays demonstrated that the DNA sequences carrying the variant produce enhancer activity while the risk allele of the variant reduces its activity. Conclusions In this study, we demonstrated a consistent association of the FGF7 gene with COPD and mechanistically characterized a candidate functional variant upstream of the FGF7 gene. These data highlighted the important role of the risk variant and the FGF7 gene in influencing risk for COPD. Electronic supplementary material The online version of this article (10.1186/s12881-019-0761-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Xiaomei Zhang
- College of Life Science, Engineering Research Center of the Chinese Ministry of Education for Bioreactor and Pharmaceutical Development, Jilin Agricultural University, NO. 2888, XinCheng Avenue, Changchun, 130118, China.
| | - Yongxin Guo
- College of Life Science, Engineering Research Center of the Chinese Ministry of Education for Bioreactor and Pharmaceutical Development, Jilin Agricultural University, NO. 2888, XinCheng Avenue, Changchun, 130118, China
| | - Jing Yang
- College of Life Science, Engineering Research Center of the Chinese Ministry of Education for Bioreactor and Pharmaceutical Development, Jilin Agricultural University, NO. 2888, XinCheng Avenue, Changchun, 130118, China
| | - Jianlou Niu
- School of Pharmacy, Wenzhou Medical University, Chashan Avenue, Wenzhou, 325035, Zhejiang, China
| | - Lina Du
- College of Life Science, Engineering Research Center of the Chinese Ministry of Education for Bioreactor and Pharmaceutical Development, Jilin Agricultural University, NO. 2888, XinCheng Avenue, Changchun, 130118, China
| | - Haiyan Li
- College of Life Science, Engineering Research Center of the Chinese Ministry of Education for Bioreactor and Pharmaceutical Development, Jilin Agricultural University, NO. 2888, XinCheng Avenue, Changchun, 130118, China.
| | - Xiaokun Li
- College of Life Science, Engineering Research Center of the Chinese Ministry of Education for Bioreactor and Pharmaceutical Development, Jilin Agricultural University, NO. 2888, XinCheng Avenue, Changchun, 130118, China. .,School of Pharmacy, Wenzhou Medical University, Chashan Avenue, Wenzhou, 325035, Zhejiang, China.
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22
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Carey HA, Hildreth BE, Geisler JA, Nickel MC, Cabrera J, Ghosh S, Jiang Y, Yan J, Lee J, Makam S, Young NA, Valiente GR, Jarjour WN, Huang K, Rosol TJ, Toribio RE, Charles JF, Ostrowski MC, Sharma SM. Enhancer variants reveal a conserved transcription factor network governed by PU.1 during osteoclast differentiation. Bone Res 2018; 6:8. [PMID: 29619268 PMCID: PMC5874256 DOI: 10.1038/s41413-018-0011-1] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2017] [Revised: 01/12/2018] [Accepted: 02/16/2018] [Indexed: 12/20/2022] Open
Abstract
Genome-wide association studies (GWASs) have been instrumental in understanding complex phenotypic traits. However, they have rarely been used to understand lineage-specific pathways and functions that contribute to the trait. In this study, by integrating lineage-specific enhancers from mesenchymal and myeloid compartments with bone mineral density loci, we were able to segregate osteoblast- and osteoclast (OC)-specific functions. Specifically, in OCs, a PU.1-dependent transcription factor (TF) network was revealed. Deletion of PU.1 in OCs in mice resulted in severe osteopetrosis. Functional genomic analysis indicated PU.1 and MITF orchestrated a TF network essential for OC differentiation. Several of these TFs were regulated by cooperative binding of PU.1 with BRD4 to form superenhancers. Further, PU.1 is essential for conformational changes in the superenhancer region of Nfatc1. In summary, our study demonstrates that combining GWASs with genome-wide binding studies and model organisms could decipher lineage-specific pathways contributing to complex disease states. Genetic variation in non-coding regions of DNA could raise osteoporosis risk by affecting osteoclast differentiation. Osteoporosis occurs when the normal process of bone remodeling by osteoblasts and osteoclasts falls out of balance. Genome-wide association studies (GWAS) have identified numerous single nucleotide polymorphisms (SNPs) associated with osteoporosis, but how these affect specific cell types was unclear. Sudarshana Sharma and Michael Ostrowski at the Medical University of South Carolina and colleagues wondered if variations in non-coding ‘enhancer’ regions of DNA, might shed light on the molecular underpinnings of osteoporosis. So, they overlaid SNPs associated with reduced bone mineral density onto enhancers in mesenchymal and myeloid cells—the precursors of osteoblasts and osteoclasts—identifying a transcription factor network in myeloid cells that drives the differentiation of osteoclasts. When this was disrupted in mice, severe defects in osteoclast differentiation and function resulted.
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Affiliation(s)
- Heather A Carey
- 1Department of Cancer Biology and Genetics and Comprehensive Cancer Center, The Ohio State University Wexner Medical Center, Columbus, OH 43210 USA
| | - Blake E Hildreth
- 1Department of Cancer Biology and Genetics and Comprehensive Cancer Center, The Ohio State University Wexner Medical Center, Columbus, OH 43210 USA.,2College of Veterinary Medicine, The Ohio State University, Columbus, OH 43210 USA.,3Department of Biochemistry and Molecular Biology and Hollings Cancer Center, Medical University of South Carolina, Charleston, SC 29425 USA
| | - Jennifer A Geisler
- 1Department of Cancer Biology and Genetics and Comprehensive Cancer Center, The Ohio State University Wexner Medical Center, Columbus, OH 43210 USA.,2College of Veterinary Medicine, The Ohio State University, Columbus, OH 43210 USA
| | - Mara C Nickel
- 1Department of Cancer Biology and Genetics and Comprehensive Cancer Center, The Ohio State University Wexner Medical Center, Columbus, OH 43210 USA
| | - Jennifer Cabrera
- 1Department of Cancer Biology and Genetics and Comprehensive Cancer Center, The Ohio State University Wexner Medical Center, Columbus, OH 43210 USA
| | - Sankha Ghosh
- 1Department of Cancer Biology and Genetics and Comprehensive Cancer Center, The Ohio State University Wexner Medical Center, Columbus, OH 43210 USA
| | - Yue Jiang
- 1Department of Cancer Biology and Genetics and Comprehensive Cancer Center, The Ohio State University Wexner Medical Center, Columbus, OH 43210 USA
| | - Jing Yan
- 4Division of Rheumatology, Immunology and Allergy, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA USA
| | - James Lee
- 1Department of Cancer Biology and Genetics and Comprehensive Cancer Center, The Ohio State University Wexner Medical Center, Columbus, OH 43210 USA
| | - Sandeep Makam
- 1Department of Cancer Biology and Genetics and Comprehensive Cancer Center, The Ohio State University Wexner Medical Center, Columbus, OH 43210 USA
| | - Nicholas A Young
- 5Division of Rheumatology and Immunology, Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH 43210 USA
| | - Giancarlo R Valiente
- 5Division of Rheumatology and Immunology, Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH 43210 USA
| | - Wael N Jarjour
- 5Division of Rheumatology and Immunology, Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH 43210 USA
| | - Kun Huang
- 6Department of Biomedical Informatics, The Ohio State University Wexner Medical Center, Columbus, OH 43210 USA
| | - Thomas J Rosol
- 2College of Veterinary Medicine, The Ohio State University, Columbus, OH 43210 USA
| | - Ramiro E Toribio
- 2College of Veterinary Medicine, The Ohio State University, Columbus, OH 43210 USA
| | - Julia F Charles
- 4Division of Rheumatology, Immunology and Allergy, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA USA
| | - Michael C Ostrowski
- 1Department of Cancer Biology and Genetics and Comprehensive Cancer Center, The Ohio State University Wexner Medical Center, Columbus, OH 43210 USA.,3Department of Biochemistry and Molecular Biology and Hollings Cancer Center, Medical University of South Carolina, Charleston, SC 29425 USA
| | - Sudarshana M Sharma
- 1Department of Cancer Biology and Genetics and Comprehensive Cancer Center, The Ohio State University Wexner Medical Center, Columbus, OH 43210 USA.,3Department of Biochemistry and Molecular Biology and Hollings Cancer Center, Medical University of South Carolina, Charleston, SC 29425 USA
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23
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Chadaeva IV, Ponomarenko PM, Rasskazov DA, Sharypova EB, Kashina EV, Zhechev DA, Drachkova IA, Arkova OV, Savinkova LK, Ponomarenko MP, Kolchanov NA, Osadchuk LV, Osadchuk AV. Candidate SNP markers of reproductive potential are predicted by a significant change in the affinity of TATA-binding protein for human gene promoters. BMC Genomics 2018; 19:0. [PMID: 29504899 PMCID: PMC5836831 DOI: 10.1186/s12864-018-4478-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND The progress of medicine, science, technology, education, and culture improves, year by year, quality of life and life expectancy of the populace. The modern human has a chance to further improve the quality and duration of his/her life and the lives of his/her loved ones by bringing their lifestyle in line with their sequenced individual genomes. With this in mind, one of genome-based developments at the junction of personalized medicine and bioinformatics will be considered in this work, where we used two Web services: (i) SNP_TATA_Comparator to search for alleles with a single nucleotide polymorphism (SNP) that alters the affinity of TATA-binding protein (TBP) for the TATA boxes of human gene promoters and (ii) PubMed to look for retrospective clinical reviews on changes in physiological indicators of reproductive potential in carriers of these alleles. RESULTS A total of 126 SNP markers of female reproductive potential, capable of altering the affinity of TBP for gene promoters, were found using the two above-mentioned Web services. For example, 10 candidate SNP markers of thrombosis (e.g., rs563763767) can cause overproduction of coagulation inducers. In pregnant women, Hughes syndrome provokes thrombosis with a fatal outcome although this syndrome can be diagnosed and eliminated even at the earliest stages of its development. Thus, in women carrying any of the above SNPs, preventive treatment of this syndrome before a planned pregnancy can reduce the risk of death. Similarly, seven SNP markers predicted here (e.g., rs774688955) can elevate the risk of myocardial infarction. In line with Bowles' lifespan theory, women carrying any of these SNPs may modify their lifestyle to improve their longevity if they can take under advisement that risks of myocardial infarction increase with age of the mother, total number of pregnancies, in multiple pregnancies, pregnancies under the age of 20, hypertension, preeclampsia, menstrual cycle irregularity, and in women smokers. CONCLUSIONS According to Bowles' lifespan theory-which links reproductive potential, quality of life, and life expectancy-the above information was compiled for those who would like to reduce risks of diseases corresponding to alleles in own sequenced genomes. Candidate SNP markers can focus the clinical analysis of unannotated SNPs, after which they may become useful for people who would like to bring their lifestyle in line with their sequenced individual genomes.
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Affiliation(s)
- Irina V Chadaeva
- Brain Neurobiology and Neurogenetics Center, Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Ave, Novosibirsk, 630090, Russia
- Novosibirsk State University, Novosibirsk, 630090, Russia
| | | | - Dmitry A Rasskazov
- Brain Neurobiology and Neurogenetics Center, Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Ave, Novosibirsk, 630090, Russia
| | - Ekaterina B Sharypova
- Brain Neurobiology and Neurogenetics Center, Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Ave, Novosibirsk, 630090, Russia
| | - Elena V Kashina
- Brain Neurobiology and Neurogenetics Center, Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Ave, Novosibirsk, 630090, Russia
| | - Dmitry A Zhechev
- Brain Neurobiology and Neurogenetics Center, Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Ave, Novosibirsk, 630090, Russia
| | - Irina A Drachkova
- Brain Neurobiology and Neurogenetics Center, Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Ave, Novosibirsk, 630090, Russia
| | - Olga V Arkova
- Brain Neurobiology and Neurogenetics Center, Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Ave, Novosibirsk, 630090, Russia
- Vector-Best Inc., Koltsovo, Novosibirsk Region, 630559, Russia
| | - Ludmila K Savinkova
- Brain Neurobiology and Neurogenetics Center, Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Ave, Novosibirsk, 630090, Russia
| | - Mikhail P Ponomarenko
- Brain Neurobiology and Neurogenetics Center, Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Ave, Novosibirsk, 630090, Russia.
- Novosibirsk State University, Novosibirsk, 630090, Russia.
| | - Nikolay A Kolchanov
- Brain Neurobiology and Neurogenetics Center, Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Ave, Novosibirsk, 630090, Russia
- Novosibirsk State University, Novosibirsk, 630090, Russia
| | - Ludmila V Osadchuk
- Brain Neurobiology and Neurogenetics Center, Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Ave, Novosibirsk, 630090, Russia
- Novosibirsk State Agricultural University, Novosibirsk, 630039, Russia
| | - Alexandr V Osadchuk
- Brain Neurobiology and Neurogenetics Center, Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Ave, Novosibirsk, 630090, Russia
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24
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Su SC, Ho YC, Liu YF, Reiter RJ, Chou CH, Yeh CM, Lee HL, Chung WH, Hsieh MJ, Yang SF. Association of melatonin membrane receptor 1A/1B gene polymorphisms with the occurrence and metastasis of hepatocellular carcinoma. Oncotarget 2017; 8:85655-85669. [PMID: 29156748 PMCID: PMC5689638 DOI: 10.18632/oncotarget.21107] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2017] [Accepted: 09/04/2017] [Indexed: 01/18/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is a prevalent primary neoplasm of the liver, whose heterogeneous global incidence suggests the likely impact of genetic variations among individuals on the susceptibility to this disease. Increasing evidence indicates that melatonin exhibits oncostatic properties in many cancer types at least in part mediated by its membrane-bound receptors, melatonin receptor 1A (encoded by MTNR1A) and 1B (MTNR1B). In this study, the effect of melatonin receptor gene polymorphisms on the risk and progression of hepatic tumors was evaluated between 335 HCC patients and 1196 cancer-free subjects. We detected a significant association of MTNR1A single nucleotide polymorphism (SNP), rs6553010, with the elevated risk of HCC (AOR, 1.587; 95% CI, 1.053–2.389; p = 0.027) after being adjusted for two potential confounders, age and alcohol use. In addition, patients who carry at least one polymorphic allele (heterozygote or homozygote) of MTNR1A rs2119882 or rs2375801 were more prone to develop distant metastasis (OR, 5.202; 95% CI, 1.163–23.270; p = 0.031, and OR, 7.782; 95% CI, 1.015–59.663; p = 0.048, for rs2119882 and rs2375801, respectively). Further analyses revealed that rs2119882 is located on the consensus binding site of GATA2 transcription factor within the promoter region of MTNR1A gene, and that a correlation between the levels of GATA2 and melatonin receptor 1A was observed in the TCGA (The Cancer Genome Atlas) dataset. Moreover, individuals bearing a specific haplotype of four MTNR1B SNPs were more prone to develop HCC. In conclusion, our data suggest an association of melatonin receptor gene polymorphisms with the risk of HCC and hepatic cancer metastasis.
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Affiliation(s)
- Shih-Chi Su
- Whole-Genome Research Core Laboratory of Human Diseases, Chang Gung Memorial Hospital, Keelung, Taiwan.,Department of Dermatology, Drug Hypersensitivity Clinical and Research Center, Chang Gung Memorial Hospital, Taipei, Linkou and Keelung, Taiwan
| | - Yung-Chuan Ho
- School of Medical Applied Chemistry, Chung Shan Medical University, Taichung, Taiwan
| | - Yu-Fan Liu
- Department of Biomedical Sciences, College of Medicine Sciences and Technology, Chung Shan Medical University, Taichung, Taiwan
| | - Russel J Reiter
- Department of Cellular and Structural Biology, The University of Texas Health Science Center, San Antonio, TX, USA
| | - Chia-Hsuan Chou
- Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan
| | - Chia-Ming Yeh
- Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan
| | - Hsiang-Lin Lee
- Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan.,Deptartment of Surgery, Chung Shan Medical University Hospital, Taichung, Taiwan
| | - Wen-Hung Chung
- Whole-Genome Research Core Laboratory of Human Diseases, Chang Gung Memorial Hospital, Keelung, Taiwan.,Department of Dermatology, Drug Hypersensitivity Clinical and Research Center, Chang Gung Memorial Hospital, Taipei, Linkou and Keelung, Taiwan.,College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Ming-Ju Hsieh
- Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan.,Cancer Research Center, Changhua Christian Hospital, Changhua, Taiwan.,Graduate Institute of Biomedical Sciences, China Medical University, Taichung, Taiwan
| | - Shun-Fa Yang
- Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan.,Department of Medical Research, Chung Shan Medical University Hospital, Taichung, Taiwan
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25
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Ponomarenko P, Chadaeva I, Rasskazov DA, Sharypova E, Kashina EV, Drachkova I, Zhechev D, Ponomarenko MP, Savinkova LK, Kolchanov N. Candidate SNP Markers of Familial and Sporadic Alzheimer's Diseases Are Predicted by a Significant Change in the Affinity of TATA-Binding Protein for Human Gene Promoters. Front Aging Neurosci 2017; 9:231. [PMID: 28775688 PMCID: PMC5517495 DOI: 10.3389/fnagi.2017.00231] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2016] [Accepted: 07/04/2017] [Indexed: 12/14/2022] Open
Abstract
While year after year, conditions, quality, and duration of human lives have been improving due to the progress in science, technology, education, and medicine, only eight diseases have been increasing in prevalence and shortening human lives because of premature deaths according to the retrospective official review on the state of US health, 1990-2010. These diseases are kidney cancer, chronic kidney diseases, liver cancer, diabetes, drug addiction, poisoning cases, consequences of falls, and Alzheimer's disease (AD) as one of the leading pathologies. There are familial AD of hereditary nature (~4% of cases) and sporadic AD of unclear etiology (remaining ~96% of cases; i.e., non-familial AD). Therefore, sporadic AD is no longer a purely medical problem, but rather a social challenge when someone asks oneself: “What can I do in my own adulthood to reduce the risk of sporadic AD at my old age to save the years of my lifespan from the destruction caused by it?” Here, we combine two computational approaches for regulatory SNPs: Web service SNP_TATA_Comparator for sequence analysis and a PubMed-based keyword search for articles on the biochemical markers of diseases. Our purpose was to try to find answers to the question: “What can be done in adulthood to reduce the risk of sporadic AD in old age to prevent the lifespan reduction caused by it?” As a result, we found 89 candidate SNP markers of familial and sporadic AD (e.g., rs562962093 is associated with sporadic AD in the elderly as a complication of stroke in adulthood, where natural marine diets can reduce risks of both diseases in case of the minor allele of this SNP). In addition, rs768454929, and rs761695685 correlate with sporadic AD as a comorbidity of short stature, where maximizing stature in childhood and adolescence as an integral indicator of health can minimize (or even eliminate) the risk of sporadic AD in the elderly. After validation by clinical protocols, these candidate SNP markers may become interesting to the general population [may help to choose a lifestyle (in childhood, adolescence, and adulthood) that can reduce the risks of sporadic AD, its comorbidities, and complications in the elderly].
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Affiliation(s)
- Petr Ponomarenko
- Children's Hospital Los Angeles, University of Southern CaliforniaLos Angeles, CA, United States
| | - Irina Chadaeva
- Division for System Biology, Institute of Cytology and Genetics of Siberian Branch of Russian Academy of SciencesNovosibirsk, Russia.,Faculty of Natural Sciences, Novosibirsk State UniversityNovosibirsk, Russia
| | - Dmitry A Rasskazov
- Division for System Biology, Institute of Cytology and Genetics of Siberian Branch of Russian Academy of SciencesNovosibirsk, Russia
| | - Ekaterina Sharypova
- Division for System Biology, Institute of Cytology and Genetics of Siberian Branch of Russian Academy of SciencesNovosibirsk, Russia
| | - Elena V Kashina
- Division for System Biology, Institute of Cytology and Genetics of Siberian Branch of Russian Academy of SciencesNovosibirsk, Russia
| | - Irina Drachkova
- Division for System Biology, Institute of Cytology and Genetics of Siberian Branch of Russian Academy of SciencesNovosibirsk, Russia
| | - Dmitry Zhechev
- Division for System Biology, Institute of Cytology and Genetics of Siberian Branch of Russian Academy of SciencesNovosibirsk, Russia
| | - Mikhail P Ponomarenko
- Division for System Biology, Institute of Cytology and Genetics of Siberian Branch of Russian Academy of SciencesNovosibirsk, Russia.,Faculty of Natural Sciences, Novosibirsk State UniversityNovosibirsk, Russia
| | - Ludmila K Savinkova
- Division for System Biology, Institute of Cytology and Genetics of Siberian Branch of Russian Academy of SciencesNovosibirsk, Russia
| | - Nikolay Kolchanov
- Division for System Biology, Institute of Cytology and Genetics of Siberian Branch of Russian Academy of SciencesNovosibirsk, Russia.,Faculty of Natural Sciences, Novosibirsk State UniversityNovosibirsk, Russia
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26
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Tyner C, Barber GP, Casper J, Clawson H, Diekhans M, Eisenhart C, Fischer CM, Gibson D, Gonzalez JN, Guruvadoo L, Haeussler M, Heitner S, Hinrichs AS, Karolchik D, Lee BT, Lee CM, Nejad P, Raney BJ, Rosenbloom KR, Speir ML, Villarreal C, Vivian J, Zweig AS, Haussler D, Kuhn RM, Kent WJ. The UCSC Genome Browser database: 2017 update. Nucleic Acids Res 2017; 45:D626-D634. [PMID: 27899642 PMCID: PMC5210591 DOI: 10.1093/nar/gkw1134] [Citation(s) in RCA: 197] [Impact Index Per Article: 28.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2016] [Revised: 10/17/2016] [Accepted: 10/31/2016] [Indexed: 12/14/2022] Open
Abstract
Since its 2001 debut, the University of California, Santa Cruz (UCSC) Genome Browser (http://genome.ucsc.edu/) team has provided continuous support to the international genomics and biomedical communities through a web-based, open source platform designed for the fast, scalable display of sequence alignments and annotations landscaped against a vast collection of quality reference genome assemblies. The browser's publicly accessible databases are the backbone of a rich, integrated bioinformatics tool suite that includes a graphical interface for data queries and downloads, alignment programs, command-line utilities and more. This year's highlights include newly designed home and gateway pages; a new 'multi-region' track display configuration for exon-only, gene-only and custom regions visualization; new genome browsers for three species (brown kiwi, crab-eating macaque and Malayan flying lemur); eight updated genome assemblies; extended support for new data types such as CRAM, RNA-seq expression data and long-range chromatin interaction pairs; and the unveiling of a new supported mirror site in Japan.
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Affiliation(s)
- Cath Tyner
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Galt P Barber
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Jonathan Casper
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Hiram Clawson
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Mark Diekhans
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | | | - Clayton M Fischer
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - David Gibson
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | | | - Luvina Guruvadoo
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Maximilian Haeussler
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Steve Heitner
- Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Angie S Hinrichs
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Donna Karolchik
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Brian T Lee
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Christopher M Lee
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Parisa Nejad
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Brian J Raney
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Kate R Rosenbloom
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Matthew L Speir
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Chris Villarreal
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - John Vivian
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Ann S Zweig
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - David Haussler
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
- Howard Hughes Medical Institute, University of California Santa Cruz, CA 95064, USA
| | - Robert M Kuhn
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - W James Kent
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
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27
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Abstract
Many publicly available data repositories and resources have been developed to support protein-related information management, data-driven hypothesis generation, and biological knowledge discovery. To help researchers quickly find the appropriate protein-related informatics resources, we present a comprehensive review (with categorization and description) of major protein bioinformatics databases in this chapter. We also discuss the challenges and opportunities for developing next-generation protein bioinformatics databases and resources to support data integration and data analytics in the Big Data era.
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Affiliation(s)
- Chuming Chen
- Center for Bioinformatics and Computational Biology, University of Delaware, Newark, DE, 19711, USA.
| | - Hongzhan Huang
- Center for Bioinformatics and Computational Biology, University of Delaware, Newark, DE, 19711, USA
| | - Cathy H Wu
- Center for Bioinformatics and Computational Biology, Department of Computer and Information Sciences, University of Delaware, Newark, DE, 19711, USA
- Protein Information Resource, Department of Biochemistry and Molecular and Cellular Biology, Georgetown University Medical Center, Washington, DC, 20007, USA
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28
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Chadaeva IV, Ponomarenko MP, Rasskazov DA, Sharypova EB, Kashina EV, Matveeva MY, Arshinova TV, Ponomarenko PM, Arkova OV, Bondar NP, Savinkova LK, Kolchanov NA. Candidate SNP markers of aggressiveness-related complications and comorbidities of genetic diseases are predicted by a significant change in the affinity of TATA-binding protein for human gene promoters. BMC Genomics 2016; 17:995. [PMID: 28105927 PMCID: PMC5249025 DOI: 10.1186/s12864-016-3353-3] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Aggressiveness in humans is a hereditary behavioral trait that mobilizes all systems of the body-first of all, the nervous and endocrine systems, and then the respiratory, vascular, muscular, and others-e.g., for the defense of oneself, children, family, shelter, territory, and other possessions as well as personal interests. The level of aggressiveness of a person determines many other characteristics of quality of life and lifespan, acting as a stress factor. Aggressive behavior depends on many parameters such as age, gender, diseases and treatment, diet, and environmental conditions. Among them, genetic factors are believed to be the main parameters that are well-studied at the factual level, but in actuality, genome-wide studies of aggressive behavior appeared relatively recently. One of the biggest projects of the modern science-1000 Genomes-involves identification of single nucleotide polymorphisms (SNPs), i.e., differences of individual genomes from the reference genome. SNPs can be associated with hereditary diseases, their complications, comorbidities, and responses to stress or a drug. Clinical comparisons between cohorts of patients and healthy volunteers (as a control) allow for identifying SNPs whose allele frequencies significantly separate them from one another as markers of the above conditions. Computer-based preliminary analysis of millions of SNPs detected by the 1000 Genomes project can accelerate clinical search for SNP markers due to preliminary whole-genome search for the most meaningful candidate SNP markers and discarding of neutral and poorly substantiated SNPs. RESULTS Here, we combine two computer-based search methods for SNPs (that alter gene expression) {i} Web service SNP_TATA_Comparator (DNA sequence analysis) and {ii} PubMed-based manual search for articles on aggressiveness using heuristic keywords. Near the known binding sites for TATA-binding protein (TBP) in human gene promoters, we found aggressiveness-related candidate SNP markers, including rs1143627 (associated with higher aggressiveness in patients undergoing cytokine immunotherapy), rs544850971 (higher aggressiveness in old women taking lipid-lowering medication), and rs10895068 (childhood aggressiveness-related obesity in adolescence with cardiovascular complications in adulthood). CONCLUSIONS After validation of these candidate markers by clinical protocols, these SNPs may become useful for physicians (may help to improve treatment of patients) and for the general population (a lifestyle choice preventing aggressiveness-related complications).
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Affiliation(s)
- Irina V. Chadaeva
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Avenue, Novosibirsk, 630090 Russia
- Novosibirsk State University, 2 Pirogova Street, Novosibirsk, 630090 Russia
| | - Mikhail P. Ponomarenko
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Avenue, Novosibirsk, 630090 Russia
- Novosibirsk State University, 2 Pirogova Street, Novosibirsk, 630090 Russia
| | - Dmitry A. Rasskazov
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Avenue, Novosibirsk, 630090 Russia
| | - Ekaterina B. Sharypova
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Avenue, Novosibirsk, 630090 Russia
| | - Elena V. Kashina
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Avenue, Novosibirsk, 630090 Russia
| | - Marina Yu Matveeva
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Avenue, Novosibirsk, 630090 Russia
| | - Tatjana V. Arshinova
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Avenue, Novosibirsk, 630090 Russia
| | - Petr M. Ponomarenko
- Children’s Hospital Los Angeles, 4640 Hollywood Boulevard, University of Southern California, Los Angeles, CA 90027 USA
| | - Olga V. Arkova
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Avenue, Novosibirsk, 630090 Russia
- Vector-Best Inc, Koltsovo, Novosibirsk Region 630559 Russia
| | - Natalia P. Bondar
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Avenue, Novosibirsk, 630090 Russia
| | - Ludmila K. Savinkova
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Avenue, Novosibirsk, 630090 Russia
| | - Nikolay A. Kolchanov
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Avenue, Novosibirsk, 630090 Russia
- Novosibirsk State University, 2 Pirogova Street, Novosibirsk, 630090 Russia
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29
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Candidate SNP Markers of Chronopathologies Are Predicted by a Significant Change in the Affinity of TATA-Binding Protein for Human Gene Promoters. BIOMED RESEARCH INTERNATIONAL 2016; 2016:8642703. [PMID: 27635400 PMCID: PMC5011241 DOI: 10.1155/2016/8642703] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/04/2016] [Revised: 06/25/2016] [Accepted: 06/28/2016] [Indexed: 01/14/2023]
Abstract
Variations in human genome (e.g., single nucleotide polymorphisms, SNPs) may be associated with hereditary diseases, their complications, comorbidities, and drug responses. Using Web service SNP_TATA_Comparator presented in our previous paper, here we analyzed immediate surroundings of known SNP markers of diseases and identified several candidate SNP markers that can significantly change the affinity of TATA-binding protein for human gene promoters, with circadian consequences. For example, rs572527200 may be related to asthma, where symptoms are circadian (worse at night), and rs367732974 may be associated with heart attacks that are characterized by a circadian preference (early morning). By the same method, we analyzed the 90 bp proximal promoter region of each protein-coding transcript of each human gene of the circadian clock core. This analysis yielded 53 candidate SNP markers, such as rs181985043 (susceptibility to acute Q fever in male patients), rs192518038 (higher risk of a heart attack in patients with diabetes), and rs374778785 (emphysema and lung cancer in smokers). If they are properly validated according to clinical standards, these candidate SNP markers may turn out to be useful for physicians (to select optimal treatment for each patient) and for the general population (to choose a lifestyle preventing possible circadian complications of diseases).
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30
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Ponomarenko MP, Arkova O, Rasskazov D, Ponomarenko P, Savinkova L, Kolchanov N. Candidate SNP Markers of Gender-Biased Autoimmune Complications of Monogenic Diseases Are Predicted by a Significant Change in the Affinity of TATA-Binding Protein for Human Gene Promoters. Front Immunol 2016; 7:130. [PMID: 27092142 PMCID: PMC4819121 DOI: 10.3389/fimmu.2016.00130] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2015] [Accepted: 03/21/2016] [Indexed: 12/17/2022] Open
Abstract
Some variations of human genome [for example, single nucleotide polymorphisms (SNPs)] are markers of hereditary diseases and drug responses. Analysis of them can help to improve treatment. Computer-based analysis of millions of SNPs in the 1000 Genomes project makes a search for SNP markers more targeted. Here, we combined two computer-based approaches: DNA sequence analysis and keyword search in databases. In the binding sites for TATA-binding protein (TBP) in human gene promoters, we found candidate SNP markers of gender-biased autoimmune diseases, including rs1143627 [cachexia in rheumatoid arthritis (double prevalence among women)]; rs11557611 [demyelinating diseases (thrice more prevalent among young white women than among non-white individuals)]; rs17231520 and rs569033466 [both: atherosclerosis comorbid with related diseases (double prevalence among women)]; rs563763767 [Hughes syndrome-related thrombosis (lethal during pregnancy)]; rs2814778 [autoimmune diseases (excluding multiple sclerosis and rheumatoid arthritis) underlying hypergammaglobulinemia in women]; rs72661131 and rs562962093 (both: preterm delivery in pregnant diabetic women); and rs35518301, rs34166473, rs34500389, rs33981098, rs33980857, rs397509430, rs34598529, rs33931746, rs281864525, and rs63750953 (all: autoimmune diseases underlying hypergammaglobulinemia in women). Validation of these predicted candidate SNP markers using the clinical standards may advance personalized medicine.
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Affiliation(s)
- Mikhail P. Ponomarenko
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia
- Novosibirsk State University, Novosibirsk, Russia
| | - Olga Arkova
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia
| | - Dmitry Rasskazov
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia
| | | | - Ludmila Savinkova
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia
| | - Nikolay Kolchanov
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia
- Novosibirsk State University, Novosibirsk, Russia
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31
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Anderson L, Amaral MS, Beckedorff F, Silva LF, Dazzani B, Oliveira KC, Almeida GT, Gomes MR, Pires DS, Setubal JC, DeMarco R, Verjovski-Almeida S. Schistosoma mansoni Egg, Adult Male and Female Comparative Gene Expression Analysis and Identification of Novel Genes by RNA-Seq. PLoS Negl Trop Dis 2015; 9:e0004334. [PMID: 26719891 PMCID: PMC4699917 DOI: 10.1371/journal.pntd.0004334] [Citation(s) in RCA: 61] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2015] [Accepted: 12/06/2015] [Indexed: 12/28/2022] Open
Abstract
Background Schistosomiasis is one of the most prevalent parasitic diseases worldwide and is a public health problem. Schistosoma mansoni is the most widespread species responsible for schistosomiasis in the Americas, Middle East and Africa. Adult female worms (mated to males) release eggs in the hepatic portal vasculature and are the principal cause of morbidity. Comparative separate transcriptomes of female and male adult worms were previously assessed with using microarrays and Serial Analysis of Gene Expression (SAGE), thus limiting the possibility of finding novel genes. Moreover, the egg transcriptome was analyzed only once with limited bacterially cloned cDNA libraries. Methodology/Principal findings To compare the gene expression of S. mansoni eggs, females, and males, we performed RNA-Seq on these three parasite forms using 454/Roche technology and reconstructed the transcriptome using Trinity de novo assembly. The resulting contigs were mapped to the genome and were cross-referenced with predicted Smp genes and H3K4me3 ChIP-Seq public data. For the first time, we obtained separate, unbiased gene expression profiles for S. mansoni eggs and female and male adult worms, identifying enriched biological processes and specific enriched functions for each of the three parasite forms. Transcripts with no match to predicted genes were analyzed for their protein-coding potential and the presence of an encoded conserved protein domain. A set of 232 novel protein-coding genes with putative functions related to reproduction, metabolism, and cell biogenesis was detected, which contributes to the understanding of parasite biology. Conclusions/Significance Large-scale RNA-Seq analysis using de novo assembly associated with genome-wide information for histone marks in the vicinity of gene models constitutes a new approach to transcriptome analysis that has not yet been explored in schistosomes. Importantly, all data have been consolidated into a UCSC Genome Browser search- and download-tool (http://schistosoma.usp.br/). This database provides new ways to explore the schistosome genome and transcriptome and will facilitate molecular research on this important parasite. Schistosomiasis is a public health problem caused by parasites of the genus Schistosoma, of which S. mansoni is the primary causative agent. The parasite has a complex life cycle; their sexual reproductive stage is dependent on female and male adult worms mating inside the mesenteric circulation of the human host, with the female releasing hundreds of eggs daily. This phase of the life cycle is responsible for the development of pathology, which is proportional to the number of eggs accumulating in the liver and intestine of the human host. Genome and transcriptome sequencing of this parasite represent important advances in schistosome research, but there is still a need for integrated analyses to better understand the biology of this parasite. In this study, we describe the first large-scale transcriptomes of eggs, and female and male adult worms, the parasite forms that are mainly responsible for the pathology of schistosomiasis. We were able to cross-reference the gene transcription regions with promoter regions, thus improving the gene annotations. Moreover, we identified the expression of novel protein-coding genes not yet described in the current genome annotation, advancing the biological knowledge regarding this parasite.
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Affiliation(s)
- Letícia Anderson
- Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, Brazil
| | - Murilo S. Amaral
- Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, Brazil
- Instituto Butantan, São Paulo, SP, Brazil
| | - Felipe Beckedorff
- Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, Brazil
| | - Lucas F. Silva
- Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, Brazil
| | - Bianca Dazzani
- Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, Brazil
| | - Katia C. Oliveira
- Núcleo de Enteroparasitas, Centro de Parasitologia e Micologia, Instituto Adolfo Lutz, São Paulo, SP, Brazil
| | - Giulliana T. Almeida
- Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, Brazil
| | - Monete R. Gomes
- Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, Brazil
| | - David S. Pires
- Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, Brazil
- Instituto Butantan, São Paulo, SP, Brazil
| | - João C. Setubal
- Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, Brazil
- Virginia Bioinformatics Institute, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, United States of America
| | - Ricardo DeMarco
- Instituto de Física de São Carlos, Universidade de São Paulo, São Carlos, SP, Brazil
| | - Sergio Verjovski-Almeida
- Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, Brazil
- Instituto Butantan, São Paulo, SP, Brazil
- * E-mail:
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32
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Arkova OV, Ponomarenko MP, Rasskazov DA, Drachkova IA, Arshinova TV, Ponomarenko PM, Savinkova LK, Kolchanov NA. Obesity-related known and candidate SNP markers can significantly change affinity of TATA-binding protein for human gene promoters. BMC Genomics 2015; 16 Suppl 13:S5. [PMID: 26694100 PMCID: PMC4686794 DOI: 10.1186/1471-2164-16-s13-s5] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND Obesity affects quality of life and life expectancy and is associated with cardiovascular disorders, cancer, diabetes, reproductive disorders in women, prostate diseases in men, and congenital anomalies in children. The use of single nucleotide polymorphism (SNP) markers of diseases and drug responses (i.e., significant differences of personal genomes of patients from the reference human genome) can help physicians to improve treatment. Clinical research can validate SNP markers via genotyping of patients and demonstration that SNP alleles are significantly more frequent in patients than in healthy people. The search for biomedical SNP markers of interest can be accelerated by computer-based analysis of hundreds of millions of SNPs in the 1000 Genomes project because of selection of the most meaningful candidate SNP markers and elimination of neutral SNPs. RESULTS We cross-validated the output of two computer-based methods: DNA sequence analysis using Web service SNP_TATA_Comparator and keyword search for articles on comorbidities of obesity. Near the sites binding to TATA-binding protein (TBP) in human gene promoters, we found 22 obesity-related candidate SNP markers, including rs10895068 (male breast cancer in obesity); rs35036378 (reduced risk of obesity after ovariectomy); rs201739205 (reduced risk of obesity-related cancers due to weight loss by diet/exercise in obese postmenopausal women); rs183433761 (obesity resistance during a high-fat diet); rs367732974 and rs549591993 (both: cardiovascular complications in obese patients with type 2 diabetes mellitus); rs200487063 and rs34104384 (both: obesity-caused hypertension); rs35518301, rs72661131, and rs562962093 (all: obesity); and rs397509430, rs33980857, rs34598529, rs33931746, rs33981098, rs34500389, rs63750953, rs281864525, rs35518301, and rs34166473 (all: chronic inflammation in comorbidities of obesity). Using an electrophoretic mobility shift assay under nonequilibrium conditions, we empirically validated the statistical significance (α < 0.00025) of the differences in TBP affinity values between the minor and ancestral alleles of 4 out of the 22 SNPs: rs200487063, rs201381696, rs34104384, and rs183433761. We also measured half-life (t1/2), Gibbs free energy change (ΔG), and the association and dissociation rate constants, ka and kd, of the TBP-DNA complex for these SNPs. CONCLUSIONS Validation of the 22 candidate SNP markers by proper clinical protocols appears to have a strong rationale and may advance postgenomic predictive preventive personalized medicine.
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Affiliation(s)
- Olga V Arkova
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyeva Avenue, Novosibirsk 630090, Russia
| | - Mikhail P Ponomarenko
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyeva Avenue, Novosibirsk 630090, Russia
- Novosibirsk State University, 2 Pirogova Street, Novosibirsk 630090, Russia
- Laboratory of Evolutionary Bioinformatics and Theoretical Genetics, Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Avenue, Novosibirsk 630090, Russia
| | - Dmitry A Rasskazov
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyeva Avenue, Novosibirsk 630090, Russia
| | - Irina A Drachkova
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyeva Avenue, Novosibirsk 630090, Russia
| | - Tatjana V Arshinova
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyeva Avenue, Novosibirsk 630090, Russia
| | - Petr M Ponomarenko
- Children's Hospital Los Angeles, 4640 Hollywood Boulevard, University of Southern California, Los Angeles, CA 90027, USA
| | - Ludmila K Savinkova
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyeva Avenue, Novosibirsk 630090, Russia
| | - Nikolay A Kolchanov
- Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyeva Avenue, Novosibirsk 630090, Russia
- Novosibirsk State University, 2 Pirogova Street, Novosibirsk 630090, Russia
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33
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Speir ML, Zweig AS, Rosenbloom KR, Raney BJ, Paten B, Nejad P, Lee BT, Learned K, Karolchik D, Hinrichs AS, Heitner S, Harte RA, Haeussler M, Guruvadoo L, Fujita PA, Eisenhart C, Diekhans M, Clawson H, Casper J, Barber GP, Haussler D, Kuhn RM, Kent WJ. The UCSC Genome Browser database: 2016 update. Nucleic Acids Res 2015; 44:D717-25. [PMID: 26590259 PMCID: PMC4702902 DOI: 10.1093/nar/gkv1275] [Citation(s) in RCA: 334] [Impact Index Per Article: 37.1] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2015] [Accepted: 11/03/2015] [Indexed: 01/19/2023] Open
Abstract
For the past 15 years, the UCSC Genome Browser (http://genome.ucsc.edu/) has served the international research community by offering an integrated platform for viewing and analyzing information from a large database of genome assemblies and their associated annotations. The UCSC Genome Browser has been under continuous development since its inception with new data sets and software features added frequently. Some release highlights of this year include new and updated genome browsers for various assemblies, including bonobo and zebrafish; new gene annotation sets; improvements to track and assembly hub support; and a new interactive tool, the “Data Integrator”, for intersecting data from multiple tracks. We have greatly expanded the data sets available on the most recent human assembly, hg38/GRCh38, to include updated gene prediction sets from GENCODE, more phenotype- and disease-associated variants from ClinVar and ClinGen, more genomic regulatory data, and a new multiple genome alignment.
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Affiliation(s)
- Matthew L Speir
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Ann S Zweig
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Kate R Rosenbloom
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Brian J Raney
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Benedict Paten
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Parisa Nejad
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Brian T Lee
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Katrina Learned
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Donna Karolchik
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Angie S Hinrichs
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Steve Heitner
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | | | - Maximilian Haeussler
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Luvina Guruvadoo
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Pauline A Fujita
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA 94143, USA
| | | | - Mark Diekhans
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Hiram Clawson
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Jonathan Casper
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Galt P Barber
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - David Haussler
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA Howard Hughes Medical Institute, University of California Santa Cruz, CA 95064, USA
| | - Robert M Kuhn
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - W James Kent
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
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34
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Butyaev A, Mavlyutov R, Blanchette M, Cudré-Mauroux P, Waldispühl J. A low-latency, big database system and browser for storage, querying and visualization of 3D genomic data. Nucleic Acids Res 2015; 43:e103. [PMID: 25990738 PMCID: PMC4652742 DOI: 10.1093/nar/gkv476] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2015] [Accepted: 04/29/2015] [Indexed: 01/19/2023] Open
Abstract
Recent releases of genome three-dimensional (3D) structures have the potential to transform our understanding of genomes. Nonetheless, the storage technology and visualization tools need to evolve to offer to the scientific community fast and convenient access to these data. We introduce simultaneously a database system to store and query 3D genomic data (3DBG), and a 3D genome browser to visualize and explore 3D genome structures (3DGB). We benchmark 3DBG against state-of-the-art systems and demonstrate that it is faster than previous solutions, and importantly gracefully scales with the size of data. We also illustrate the usefulness of our 3D genome Web browser to explore human genome structures. The 3D genome browser is available at http://3dgb.cs.mcgill.ca/.
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Rosenbloom KR, Armstrong J, Barber GP, Casper J, Clawson H, Diekhans M, Dreszer TR, Fujita PA, Guruvadoo L, Haeussler M, Harte RA, Heitner S, Hickey G, Hinrichs AS, Hubley R, Karolchik D, Learned K, Lee BT, Li CH, Miga KH, Nguyen N, Paten B, Raney BJ, Smit AFA, Speir ML, Zweig AS, Haussler D, Kuhn RM, Kent WJ. The UCSC Genome Browser database: 2015 update. Nucleic Acids Res 2014; 43:D670-81. [PMID: 25428374 PMCID: PMC4383971 DOI: 10.1093/nar/gku1177] [Citation(s) in RCA: 690] [Impact Index Per Article: 69.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Launched in 2001 to showcase the draft human genome assembly, the UCSC Genome Browser database (http://genome.ucsc.edu) and associated tools continue to grow, providing a comprehensive resource of genome assemblies and annotations to scientists and students worldwide. Highlights of the past year include the release of a browser for the first new human genome reference assembly in 4 years in December 2013 (GRCh38, UCSC hg38), a watershed comparative genomics annotation (100-species multiple alignment and conservation) and a novel distribution mechanism for the browser (GBiB: Genome Browser in a Box). We created browsers for new species (Chinese hamster, elephant shark, minke whale), 'mined the web' for DNA sequences and expanded the browser display with stacked color graphs and region highlighting. As our user community increasingly adopts the UCSC track hub and assembly hub representations for sharing large-scale genomic annotation data sets and genome sequencing projects, our menu of public data hubs has tripled.
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Affiliation(s)
- Kate R Rosenbloom
- Center for Biomolecular Science and Engineering, CBSE, UC Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
| | - Joel Armstrong
- Center for Biomolecular Science and Engineering, CBSE, UC Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
| | - Galt P Barber
- Center for Biomolecular Science and Engineering, CBSE, UC Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
| | - Jonathan Casper
- Center for Biomolecular Science and Engineering, CBSE, UC Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
| | - Hiram Clawson
- Center for Biomolecular Science and Engineering, CBSE, UC Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
| | - Mark Diekhans
- Center for Biomolecular Science and Engineering, CBSE, UC Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
| | - Timothy R Dreszer
- Center for Biomolecular Science and Engineering, CBSE, UC Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
| | - Pauline A Fujita
- Center for Biomolecular Science and Engineering, CBSE, UC Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
| | - Luvina Guruvadoo
- Center for Biomolecular Science and Engineering, CBSE, UC Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
| | - Maximilian Haeussler
- Center for Biomolecular Science and Engineering, CBSE, UC Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
| | - Rachel A Harte
- Center for Biomolecular Science and Engineering, CBSE, UC Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
| | - Steve Heitner
- Center for Biomolecular Science and Engineering, CBSE, UC Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
| | - Glenn Hickey
- Center for Biomolecular Science and Engineering, CBSE, UC Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
| | - Angie S Hinrichs
- Center for Biomolecular Science and Engineering, CBSE, UC Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
| | - Robert Hubley
- Institute for Systems Biology, Seattle, WA 98109, USA
| | - Donna Karolchik
- Center for Biomolecular Science and Engineering, CBSE, UC Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
| | - Katrina Learned
- Center for Biomolecular Science and Engineering, CBSE, UC Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
| | - Brian T Lee
- Center for Biomolecular Science and Engineering, CBSE, UC Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
| | - Chin H Li
- Center for Biomolecular Science and Engineering, CBSE, UC Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
| | - Karen H Miga
- Center for Biomolecular Science and Engineering, CBSE, UC Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
| | - Ngan Nguyen
- Center for Biomolecular Science and Engineering, CBSE, UC Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
| | - Benedict Paten
- Center for Biomolecular Science and Engineering, CBSE, UC Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
| | - Brian J Raney
- Center for Biomolecular Science and Engineering, CBSE, UC Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
| | | | - Matthew L Speir
- Center for Biomolecular Science and Engineering, CBSE, UC Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
| | - Ann S Zweig
- Center for Biomolecular Science and Engineering, CBSE, UC Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
| | - David Haussler
- Center for Biomolecular Science and Engineering, CBSE, UC Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA Howard Hughes Medical Institute, UCSC, Santa Cruz, CA 95064, USA
| | - Robert M Kuhn
- Center for Biomolecular Science and Engineering, CBSE, UC Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
| | - W James Kent
- Center for Biomolecular Science and Engineering, CBSE, UC Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
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