Kumar G G - OmicsDI

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Unknown (6444)
Proteomics (244)
Transcriptomics (155)
Genomics (69)
Metabolomics (46)
Models (9)
Multiomics (1)

Organisms

Homo sapiens (193)
Mus musculus (76)
Arabidopsis thaliana (12)
Saccharomyces cerevisiae (11)
Rattus norvegicus (10)
Mycobacterium tuberculosis H37Rv (6)
Mycobacterium tuberculosis (6)
Oryza sativa (6)
Gossypium hirsutum (5)
Leishmania donovani (3)
Mycolicibacterium smegmatis MC2 155 (3)
Corynebacterium glutamicum ATCC 13032 (3)
Viridiplantae (2)
Brassica juncea (2)
Streptococcus pneumoniae (2)
Gallus gallus (2)
Bacteria Latreille et al. 1825 (1)
Plasmodium falciparum K1 (1)
Plasmodium falciparum NF54 (1)
fungal pathogen UWFP-388 (1)
Ascaris suum (1)
Gossypium arboreum (1)
Papio anubis (1)
Heterodera avenae (1)
Staphylococcus aureus subsp. aureus COL (1)
Neisseria cinerea (1)
Mycolicibacterium smegmatis (1)
Bacillus subtilis subsp. subtilis str. 168 (1)
Yersinia pseudotuberculosis (1)
Streptomyces coelicolor A3(2) (1)

Organisms

Homo sapiens (3)
Mus musculus (3)
Oryza sativa (1)

Repository

pride (191)
biostudies-arrayexpress (175)
MetaboLights (42)
EGA (36)
PeptideAtlas (17)
MassIVE (16)
PAXDB (16)
ENA (12)
BioModels (9)
geo (4)
GNPS (4)
jPOST (1)
PanoramaPublic (1)

Tissue

Cell culture (29)
Brain (14)
Epithelial cell (11)
Blood plasma (8)
Blood cell (6)
Bone marrow (6)
Plant cell (6)
Blood serum (5)
Leaf (5)
Liver (5)
Lung (5)
T cell (5)
Blood (4)
Pancreas (4)
Permanent cell line cell (4)
Testis (4)
Whole body (4)
B cell (3)
Heart (3)
Placenta (3)
Skeletal muscle (3)
Sperm (3)
Spleen (3)
Cell suspension culture (2)
Diploid cell (2)
Early embryonic cell (2)
Endothelial cell (2)
Fat body (2)
Fibroblast (2)
Head and neck squamous cell carcinoma cell line (2)

Disease

Alzheimer's disease (7)
Acute leukemia (6)
Breast cancer (4)
Disease free (4)
COVID-19 (3)
Cancer (2)
Cardiovascular system disease (2)
Head and neck squamous cell carcinoma (2)
Human immunodeficiency virus infectious disease (2)
Multiple myeloma (2)
Tuberculosis (2)
Breast carcinoma (1)
Acute myeloid leukemia with BCR-ABL1 (1)
Age related macular degeneration (1)
Avian influenza (1)
Bladder urachal urothelial carcinoma (1)
Brain cancer (1)
Cerebrovascular disease (1)
Cervix carcinoma (1)
Chronic fatigue syndrome (1)
Endometrial cancer (1)
Filariasis (1)
Gastric adenocarcinoma (1)
Graft-versus-host disease (1)
Influenza (1)
Irritable bowel syndrome (1)
Leishmaniasis (1)
Lung cancer (1)
Male infertility (1)
Trypanosomiasis (1)

Technology Type

Mass Spectrometry (191)
Shotgun proteomics (105)
Mass spectrometry (37)
Bottom-up proteomics (36)
Affinity purification coupled with mass spectrometry proteomics (29)
Data-dependent acquisition (22)
Gel-based experiment (12)
Top-down proteomics (6)
Data-independent acquisition (5)
SRM/MRM (5)
SWATH MS (5)
NMR spectroscopy (3)
All-ion fragmentation (3)
NMR spectroscopy assay (2)
Chemical cross-linking coupled with mass spectrometry proteomics (2)
Illumina HiSeq 2500 (1)
Illumina HiSeq 2500, ILLUMINA (1)
Illumina HiSeq 2500, Illumina MiSeq, HiSeq X Ten (1)
Glycoproteomics (1)
HDMSE (1)
Mass spectrometry imaging (1)

Instrument Platform

Liquid Chromatography MS - positive - reverse phase (12)
NextSeq 550 (10)
Liquid Chromatography MS - negative - reverse phase (9)
Orbitrap Fusion Lumos (5)
Liquid Chromatography MS - negative - hilic (5)
Illumina HiSeq 2500 (4)
Q Exactive Plus (4)
LTQ Orbitrap Velos (4)
Liquid Chromatography MS - positive - hilic (4)
NextSeq 500 (3)
LTQ Orbitrap Elite (3)
Orbitrap Fusion (3)
BD Influx sorter (2)
Agilent Bravo NGS workstation, Microlab STAR automated liquid handler (Hamilton Robotics), PCR machine (MJ Research Peltier Thermal Cycler) (2)
Illumina NovaSeq 6000 (2)
Illumina HiSeq 2000 (2)
Illumina HiSeq 4000 (2)
QTRAP 6500 (2)
SolariX (2)
Bruker (2)
Ultracentrifuge (1)
Spectronic Helios Alpha UV-Vis spectrophotometer (1)
Illumina Genome Analyzer IIx (1)
Illumina Genome Analyzer II (1)
HiSeq X Ten (1)
Sciex QTRAP 6500 (1)
Orbitrap Eclipse (1)
Orbitrap Exploris 480 (1)
Q Exactive (1)
TripleTOF 5600 (1)

Publication Date

2014 (51)
2013 (40)
2024 (38)
2022 (36)
2021 (32)
2026 (29)
2020 (29)
2015 (29)
2025 (26)
2023 (26)
2012 (22)
2019 (19)
2018 (19)
2016 (18)
2010 (17)
2017 (16)
2011 (13)
2008 (7)
2009 (3)
2007 (3)
2005 (3)

UNIPROT ID/AC

B2CT00 (2)
C0LGN2 (2)
H9D0Z7 (2)
O04609 (2)
O22921 (2)
P31152 (2)
P45985 (2)
Q02750 (2)
Q0WV96 (2)
Q13163 (2)
Q13233 (2)
Q39023 (2)
Q39026 (2)
Q39028 (2)
Q8S8P5 (2)
Q8VWJ2 (2)
Q93WY4 (2)
Q9C5H5 (2)
Q9FDW1 (2)
Q9FGX2 (2)
Q9S7U9 (2)
Q9SI37 (2)
Q9SUS1 (2)
Q9SZP1 (2)
O14733 (1)
P46734 (1)
P49333 (1)
P52564 (1)
Q05609 (1)
Q0WPQ2 (1)

ENSEMBL ID

ENSDARG00000000103 (17)
ENSDARG00000001431 (17)
ENSDARG00000001915 (17)
ENSDARG00000001950 (17)
ENSDARG00000001993 (17)
ENSDARG00000002480 (17)
ENSDARG00000005039 (17)
ENSDARG00000005560 (17)
ENSDARG00000005791 (17)
ENSDARG00000006399 (17)
ENSDARG00000007219 (17)
ENSDARG00000009285 (17)
ENSDARG00000009484 (17)
ENSDARG00000010149 (17)
ENSDARG00000013078 (17)
ENSDARG00000016301 (17)
ENSDARG00000016393 (17)
ENSDARG00000017014 (17)
ENSDARG00000017624 (17)
ENSDARG00000018404 (17)
ENSDARG00000021124 (17)
ENSDARG00000022767 (17)
ENSDARG00000023323 (17)
ENSDARG00000025012 (17)
ENSDARG00000025301 (17)
ENSDARG00000025350 (17)
ENSDARG00000025635 (17)
ENSDARG00000027355 (17)
ENSDARG00000029406 (17)
ENSDARG00000031164 (17)

CHEBI ID

CHEBI:15428 (15)
CHEBI:15891 (15)
CHEBI:16196 (15)
CHEBI:17568 (14)
CHEBI:17596 (14)
CHEBI:16737 (13)
CHEBI:16919 (13)
CHEBI:17687 (13)
CHEBI:28044 (13)
CHEBI:30769 (13)
CHEBI:15756 (12)
CHEBI:15843 (12)
CHEBI:16704 (12)
CHEBI:24898 (12)
CHEBI:27732 (12)
CHEBI:7916 (12)
CHEBI:16411 (11)
CHEBI:17154 (11)
CHEBI:27266 (11)
CHEBI:28300 (11)
CHEBI:28865 (11)
CHEBI:28875 (11)
CHEBI:30805 (11)
CHEBI:30915 (11)
CHEBI:6650 (11)
CHEBI:17351 (10)
CHEBI:16240 (1)
CHEBI:18153 (1)
CHEBI:26710 (1)
CHEBI:38068 (1)

Metabolite Name

Taurine (10)
Xanthine (9)
Taurocholic acid (8)
Arachidonic acid (7)
Creatinine (7)
Glycocholic acid (7)
Pyruvate (7)
Azelaic acid (6)
Bilirubin (6)
Creatine (6)
Docosahexaenoic acid (6)
Dodecanoic acid (6)
Glycine (6)
Hexadecanedioic acid (6)
Inosine (6)
L-Phenylalanine (6)
Lactate (6)
Oleic acid (6)
Palmitic acid (6)
Uracil (6)
Uric acid (6)
ADP (5)
ATP (5)
Acetone (5)
Alpha-Linolenic acid (5)
Biliverdin (5)
Caffeine (5)
Cortisol (5)
Dodecanedioic acid (5)
Glutamine (5)

First Public Date

2021 (3)
2014 (2)
2026 (1)
2024 (1)
2023 (1)
2022 (1)
2017 (1)
2016 (1)
2013 (1)

Modelling Approach

Ordinary differential equation model (5)
Constraint-based model (2)
Computational model (1)
Differential equation model (1)

Lab affiliation

Clinical Division of Fish Medicine, University of Veterinary Medicine, Vienna, Austria (5)
Department of Neurobiology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA (4)
Goethe-Universität Frankfurt, Georg-Speyer-Haus, Paul-Ehrlich-Str. 42-44, Frankfurt am Main, GERMANY (3)
Institute of Pharmaceutical Chemistry, Goethe University, Max-von-Laue-Str. 9, 60438 Frankfurt am Main, Germany Structural Genomics Consortium (SGC), Buchmann Institute for Life Sciences, Max-von-Laue-Str. 15, 60438 Frankfurt am Main, Germany German Cancer Consortium (DKTK) Mainz/Frankfurt, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany (3)
McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, Maryland 21205 USA (3)
Chromosome and Plasmid Segregation Lab, Department of Biosciences and Bioengineering, IIT Bombay, Mumbai, India (2)
DZNE Munich Neuroproteomics Feodor-Lynen-Str. 17 81377 Munich Germany (2)
DZNE Munich, Neuroproteomics, Feodor-Lynen Str. 17, 81377 Munich, Germany (2)
Department of Inflammation and Immunity, Gastroenterology and Hepatology. Cleveland Clinic, Cleveland Ohio (2)
Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India (2)
McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205 USA (2)
THSTI - National Chair and Head, Drug Discovery Research Centre Translational Health Science and Technology Institute, Faridabad, INDIA (2)
1)Department of Pediatrics III, University Hospital Essen, Hufelandstrasse 55, 45147 Essen, Germany. 2)Department of General, Visceral, Vascular and Transplant Surgery, Medical Faculty, University Hospital Essen, Hufelandstrasse 55, 45147 Essen, Germany. (1)
5Faculty of Biology, Technion-Israel Institute of Technology, Haifa-3200003, Israel. (1)
733 N. Broadway Room 527, Miller Research Building Baltimore MD 21205 USA (1)
All India Institute of Medical Sciences, New Delhi, India (1)
Animal Genomics Lab, Animal Biotechnology Centre, National Dairy Research Institute, Karnal, Haryana, India (1)
Assistant Professor (PI,ANRF-SERB project), Department of Botany, Ravenshaw University, Cuttack, Odisha- 753003 India (1)
Assistant Professor Department of Chemisty University of South Florida Tampa, FL. USA. (1)
Associate Professor, Department of Biology, IISER Pune (1)
Associate Professor, Institute of Advanced Study in Science and Technology (IASST), Guwahati-110035, Assam, India (1)
Associate professor Department of Biotechnology National Institute of Pharmaceutical Education and Research, Hajipur, Bihar-844102 (1)
BIOTECHNOLOGY DIVISION, CSIR-IHBT, PO BOX 6,PALAMPUR, HP, INDIA, 176061 (1)
Blizard Institute, Centre for Genomics and Child Health, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, E1 2AT, UK (1)
Boston Children's Hospital | Harvard Medical School (1)
Bradley Distinguished Professor Chair of Cancer Biology & Research Professor of Cell Biology Centre for Cancer Biology University of South Australia (1)
CSIR-CCMB (1)
Cancer Biology Department, Fox Chase Cancer Center, Philadelphia, PA, USA (1)
Center for Cancer Research, Massachusetts General Hospital, Boston MA, USA;Department of Chemistry and Chemical Biology, Harvard University, Cambridge MA, USA. (1)
Centre for Biotechnology, University of Turku and Åbo Akademi (1)

IsPrivate

False (9)

Model Flag

Non Kinetic (2)

Submitter Keywords

Ersilia (1)
FAIR-AIML (1)
Machine Learning Model (1)
TransQST (1)

Study type

Transcription profiling by array (92)
RNA-seq of coding RNA (24)
ChIP-seq (18)
Other (8)
RIP-seq (6)
ChIP-chip by tiling array (5)
RNA-seq of non coding RNA (5)
RNA-seq of coding RNA from single cells (4)
Comparative genomic hybridization by array (3)
DNA-seq (2)
Methylation profiling by array (2)
Proteomic profiling by mass spectrometer (1)
ChIP-chip by array (1)
Antigen profiling (1)
MicroRNA profiling by array (1)
Methylation profiling by high throughput sequencing (1)

Release Date

2022 (826)
2023 (730)
2025 (724)
2021 (704)
2024 (637)
2020 (519)
2018 (394)
2019 (375)
2017 (295)
2016 (248)
2015 (248)
2014 (199)
2013 (162)
2012 (128)
2011 (102)
2026 (90)
2010 (76)
2009 (67)
2008 (47)
2007 (15)
2006 (12)
2005 (7)
2003 (5)
2004 (3)
2002 (2)
2000 (2)
1998 (1)

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Hyperhomocysteinemia-related serum metabolome alterations not normalized by short-term folic acid treatment

Introduction

Hyperhomocysteinemia (HHCys) is an independent risk factor for various diseases such as cardiovascular diseases, Alzheimer's, and cancers. Folate deficiency is one of the significant reasons for HHCys. However, it is not known whether folate deficiency with HHCys is associated w...

2022-02-07 | MTBLS2150 | MetaboLights

G&T-seq: parallel sequencing of the genomes and transcriptomes of single cells

The ability to simultaneously sequence the genome and transcriptome of the same single cell offers a powerful means to dissect functional genetic heterogeneity at the cellular level. Here we describe G&T-seq, a method for separating and sequencing genomic DNA and full-length mRNA from single cells. ...

EGAS00001001204 | EGA

EFO: In preparation - Early Metabolic Predictors of Type 2 Diabetes Mellitus in Normoglycemic Adults: Insights from Six-Year Prospective Cohort Study

INTRODUCTION: Type 2 Diabetes mellitus (T2DM) is a chronic metabolic disorder characterized by insulin resistance and hyperglycemia, often preceded by latent metabolic disruptions. Early detection of metabolic alterations can facilitate timely intervention to delay or prevent T2DM onset. Metaboli...

2025-08-04 | MTBLS10965 | MetaboLights

Chiorino2002 - G1/S transition model

mathematical approach to model the protein interactions regulating the transition from the G1 phase to the phase of DNA synthesis. Model is encoded by matthieu Maire and submitted to BioModels by krishna kumar tiwari.

2020-03-19 | MODEL2003180003 | BioModels

Murine Schistosoma-Induced Pulmonary Hypertension: RNA-seq Data

Whole lung RNA-seq of 8 mice with experimental Schistosoma-induced pulmonary hypertension, compared to 8 control mice. All mice on a C57Bl6/J background. 3 schisto-PH and 3 control mice (#s 1-3 in each group) were also processed by Affy microarray and separately submitted. 3 of the mice in each grou...

ORGANISM(S): Mus musculus

2013-07-23 | E-GEOD-49114 | biostudies-arrayexpress

Comparative analysis of transcriptome profiles of G. arboreum L. cv. and its fuzzy-lintless mutant (ANOI 1960) during fibre development stages.

Comparative analysis of transcriptome profiles of G. arboreum L. cv. and its fuzzy-lintless mutant (ANOI 1960) at 0 and 10 dpa. Cotton is one of the most commercially important fibre crops in the world and used as a source for natural textile fibre and cottonseed oil. The fuzzy-lintless ovules of co...

ORGANISM(S): Gossypium arboreum

2014-11-01 | E-GEOD-52432 | biostudies-arrayexpress

Metastases suppressor NM23-H2 interaction with G-quadruplex DNA within c-MYC promoter nuclease hypersensitive element induces c-MYC expression.

Not available

S-EPMC2615625 | biostudies-literature

Pathak2013 - MAPK activation in response to various biotic stresses

Pathak2013 - MAPK activation in response to various biotic stresses MAPK activation mechanism in response to various biotic (fungal and bacterial pathogens) stress conditions in plants This model is described in the article: ...

2024-09-02 | BIOMD0000000492 | BioModels

Pathak2013 - MAPK activation in response to various abiotic stresses

Pathak2013 - MAPK activation in response to various abiotic stresses MAPK activation mechanism in response to various abiotic stress conditions, such as cold, salt, drought, H2O2, heavy metal and ethylene, in plants This model is described in the ...

2024-09-02 | BIOMD0000000491 | BioModels

Comparative transcriptome profiles of cotton (G. hirsutum L. cv. Bikaneri narma) during boll development stages under bollworm infested biotic stress

Comparative transcriptome profiles of cotton (G. hirsutum L. cv. Bikaneri narma) during boll development stages (0, 2, 5 and 10 dpa) under bollworm infested biotic stress. Cotton is one of the most commercially important fibre crops in the world and used as a source for natural textile fibre and cot...

ORGANISM(S): Gossypium hirsutum

2015-03-01 | E-GEOD-55511 | biostudies-arrayexpress

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