The chromosome 1 region has peak markers with of LOD of 3.45 and 3.46 for Alcoholism gender age and constraint as D1S2878 (165403366) D1S196 (167604128). Arbitrary interval of 25 MBp on each side of the peak makers was uploaded.
Authors:
Hill SY, Shen S, Zezza N, Hoffman EK, Perlin M, Allan W
QTL for morphine preference on Chr6 at NA (1.89 Mbp , Build 37)
Description:
morphine preference spans 0.00 - 26.89 Mbp (NCBI Build 37) on Chr6. This interval was obtained by using an interval width of 25 Mbp around the peak marker (Build 37, MGI, http://informatics.jax.org).
The chemical processes, enzymatic activities, and pathways of living things and related temporal, dimensional, qualitative, and quantitative concepts.
Generated by gene2mesh v. 1.1.1
The processes, properties and biological objects that are involved in maintaining, expressing, and transmitting from one organism to another, genetically encoded traits.
Generated by gene2mesh v. 1.1.1
The location of the atoms, groups or ions relative to one another in a molecule, as well as the number, type and location of covalent bonds.
Generated by gene2mesh v. 1.1.1
The biological objects that contain genetic information and that are involved in transmitting genetically encoded traits from one organism to another.
Generated by gene2mesh v. 1.1.1
chr7q34
Genes in cytogenetic band chr7q34
c1 - Positional genesets for each human chromosome and cytogenetic band.
Molecular Signatures Database (MSigDB) Geneset. This geneset was imported from one of the MSigDB collections.
gene2msig v. 0.1.0
Last updated 2015.08.31
The order of amino acids as they occur in a polypeptide chain. This is referred to as the primary structure of proteins. It is of fundamental importance in determining PROTEIN CONFORMATION.
Generated by gene2mesh v. 1.1.1
This gene set describes genes that are down-regulated in children with Multisystem inflammatory Syndrome in Children (MISC-C) versus healthy controls using RNAseq analysis. The genes were filtered for a p-value < 0.05 and a log fold-change of greater than 1.0 given in supplemental table 7. Genes were entered into GeneWeaver using the reported EnsEMBL identifiers. Values are log-fold change.
Authors:
Noam D Beckmann, Phillip H Comella, Esther Cheng, Lauren Lepow, Aviva G Beckmann, Scott R Tyler, Konstantinos Mouskas, Nicole W Simons, Gabriel E Hoffman, Nancy J Francoeur, Diane Marie Del Valle, Gurpawan Kang, Anh Do, Emily Moya, Lillian Wilkins, Jessica Le Berichel, Christie Chang, Robert Marvin, Sharlene Calorossi, Alona Lansky, Laura Walker, Nancy Yi, Alex Yu, Jonathan Chung, Matthew Hartnett, Melody Eaton, Sandra Hatem, Hajra Jamal, Alara Akyatan, Alexandra Tabachnikova, Lora E Liharska, Liam Cotter, Brian Fennessy, Akhil Vaid, Guillermo Barturen, Hardik Shah, Ying-Chih Wang, Shwetha Hara Sridhar, Juan Soto, Swaroop Bose, Kent Madrid, Ethan Ellis, Elyze Merzier, Konstantinos Vlachos, Nataly Fishman, Manying Tin, Melissa Smith, Hui Xie, Manishkumar Patel, Kai Nie, Kimberly Argueta, Jocelyn Harris, Neha Karekar, Craig Batchelor, Jose Lacunza, Mahlet Yishak, Kevin Tuballes, Ieisha Scott, Arvind Kumar, Suraj Jaladanki, Charuta Agashe, Ryan Thompson, Evan Clark, Bojan Losic, Lauren Peters, , Panagiotis Roussos, Jun Zhu, Wenhui Wang, Andrew Kasarskis, Benjamin S Glicksberg, Girish Nadkarni, Dusan Bogunovic, Cordelia Elaiho, Sandeep Gangadharan, George Ofori-Amanfo, Kasey Alesso-Carra, Kenan Onel, Karen M Wilson, Carmen Argmann, Supinda Bunyavanich, Marta E Alarcón-Riquelme, Thomas U Marron, Adeeb Rahman, Seunghee Kim-Schulze, Sacha Gnjatic, Bruce D Gelb, Miriam Merad, Robert Sebra, Eric E Schadt, Alexander W Charney
This set describes genes whose transcription is down-regulated in the whole blood of severe COVID-19 patients versus healthy donors. Genes listed in table S2 were entered using the core ENSEMBL Gene identifiers. Values are the reported log2 fold-change.
Authors:
Anna C Aschenbrenner, Maria Mouktaroudi, Benjamin Krämer, Marie Oestreich, Nikolaos Antonakos, Melanie Nuesch-Germano, Konstantina Gkizeli, Lorenzo Bonaguro, Nico Reusch, Kevin Baßler, Maria Saridaki, Rainer Knoll, Tal Pecht, Theodore S Kapellos, Sarandia Doulou, Charlotte Kröger, Miriam Herbert, Lisa Holsten, Arik Horne, Ioanna D Gemünd, Nikoletta Rovina, Shobhit Agrawal, Kilian Dahm, Martina van Uelft, Anna Drews, Lena Lenkeit, Niklas Bruse, Jelle Gerretsen, Jannik Gierlich, Matthias Becker, Kristian Händler, Michael Kraut, Heidi Theis, Simachew Mengiste, Elena De Domenico, Jonas Schulte-Schrepping, Lea Seep, Jan Raabe, Christoph Hoffmeister, Michael ToVinh, Verena Keitel, Gereon Rieke, Valentina Talevi, Dirk Skowasch, N Ahmad Aziz, Peter Pickkers, Frank L van de Veerdonk, Mihai G Netea, Joachim L Schultze, Matthijs Kox, Monique M B Breteler, Jacob Nattermann, Antonia Koutsoukou, Evangelos J Giamarellos-Bourboulis, Thomas Ulas,
QTL for METH responses for home cage activity on Chr6 at Met (13.99 Mbp , Build 37)
Description:
METH responses for home cage activity spans 0.00 - 38.99 Mbp (NCBI Build 37) on Chr6. This interval was obtained by using an interval width of 25 Mbp around the peak marker (Build 37, MGI, http://informatics.jax.org).
This set describes genes whose transcription is downregulated in the whole blood of COVID-19 patients versus healthy donors. Genes listed in table S2 were entered using the core ENSEMBL Gene identifiers. Values are the reported log2 fold-change.
Authors:
Anna C Aschenbrenner, Maria Mouktaroudi, Benjamin Krämer, Marie Oestreich, Nikolaos Antonakos, Melanie Nuesch-Germano, Konstantina Gkizeli, Lorenzo Bonaguro, Nico Reusch, Kevin Baßler, Maria Saridaki, Rainer Knoll, Tal Pecht, Theodore S Kapellos, Sarandia Doulou, Charlotte Kröger, Miriam Herbert, Lisa Holsten, Arik Horne, Ioanna D Gemünd, Nikoletta Rovina, Shobhit Agrawal, Kilian Dahm, Martina van Uelft, Anna Drews, Lena Lenkeit, Niklas Bruse, Jelle Gerretsen, Jannik Gierlich, Matthias Becker, Kristian Händler, Michael Kraut, Heidi Theis, Simachew Mengiste, Elena De Domenico, Jonas Schulte-Schrepping, Lea Seep, Jan Raabe, Christoph Hoffmeister, Michael ToVinh, Verena Keitel, Gereon Rieke, Valentina Talevi, Dirk Skowasch, N Ahmad Aziz, Peter Pickkers, Frank L van de Veerdonk, Mihai G Netea, Joachim L Schultze, Matthijs Kox, Monique M B Breteler, Jacob Nattermann, Antonia Koutsoukou, Evangelos J Giamarellos-Bourboulis, Thomas Ulas,
Proteins which are found in membranes including cellular and intracellular membranes. They consist of two types, peripheral and integral proteins. They include most membrane-associated enzymes, antigenic proteins, transport proteins, and drug, hormone, and lectin receptors.
Generated by gene2mesh v. 1.1.1
Linear POLYPEPTIDES that are synthesized on RIBOSOMES and may be further modified, crosslinked, cleaved, or assembled into complex proteins with several subunits. The specific sequence of AMINO ACIDS determines the shape the polypeptide will take, during PROTEIN FOLDING, and the function of the protein.
Generated by gene2mesh v. 1.1.1
The parts of a GENOME sequence that are involved with the different functions or properties of genomes as a whole as opposed to those of individual GENES.
Generated by gene2mesh v. 1.1.1
The genetic complement of an organism, including all of its GENES, as represented in its DNA, or in some cases, its RNA.
Generated by gene2mesh v. 1.1.1
Compounds and molecular complexes that consist of very large numbers of atoms and are generally over 500 kDa in size. In biological systems macromolecular substances usually can be visualized using ELECTRON MICROSCOPY and are distinguished from ORGANELLES by the lack of a membrane structure.
Generated by gene2mesh v. 1.1.1
A category of nucleic acid sequences that function as units of heredity and which code for the basic instructions for the development, reproduction, and maintenance of organisms.
Generated by gene2mesh v. 1.1.1
Cell surface molecules on cells of the immune system that specifically bind surface molecules or messenger molecules and trigger changes in the behavior of cells. Although these receptors were first identified in the immune system, many have important functions elsewhere.
Generated by gene2mesh v. 1.1.1
Molecules on the surface of T-lymphocytes that recognize and combine with antigens. The receptors are non-covalently associated with a complex of several polypeptides collectively called CD3 antigens (ANTIGENS, CD3). Recognition of foreign antigen and the major histocompatibility complex is accomplished by a single heterodimeric antigen-receptor structure, composed of either alpha-beta (RECEPTORS, ANTIGEN, T-CELL, ALPHA-BETA) or gamma-delta (RECEPTORS, ANTIGEN, T-CELL, GAMMA-DELTA) chains.
Generated by gene2mesh v. 1.1.1
Authors:
None
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