What is he best known for?
The fields of study he is best known for:
His primary areas of investigation include Genetics, Cell biology, Biochemistry, Saccharomyces cerevisiae and SH3 domain.
His study connects Computational biology and Genetics.
He has researched Computational biology in several fields, including DNA sequencer, Real-time polymerase chain reaction, Budding yeast, Protein–protein interaction prediction and Interactome.
The various areas that he examines in his Cell biology study include Protein structure, NADPH oxidase and Ternary complex.
Specifically, his work in Saccharomyces cerevisiae is concerned with the study of Fungal protein.
His SH3 domain research is multidisciplinary, incorporating elements of Association rule learning, Data mining and PX domain.
His most cited work include:
- A comprehensive two-hybrid analysis to explore the yeast protein interactome (3208 citations)
- Toward a protein–protein interaction map of the budding yeast: A comprehensive system to examine two-hybrid interactions in all possible combinations between the yeast proteins (748 citations)
- Amplification-free whole-genome bisulfite sequencing by post-bisulfite adaptor tagging (234 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Genetics, Cell biology, Gene, Computational biology and Molecular biology.
His study in Genetics focuses on DNA methylation, Genome, Saccharomyces cerevisiae, Genomic imprinting and CpG site.
The DNA methylation study combines topics in areas such as Methylation, DNA and Epigenetics.
As part of one scientific family, Takashi Ito deals mainly with the area of Genome, narrowing it down to issues related to the Chromatin, and often Footprinting.
Takashi Ito combines subjects such as NADPH oxidase, Biochemistry, Transcription factor, Oxidase test and Superoxide with his study of Cell biology.
His study in Computational biology is interdisciplinary in nature, drawing from both Budding yeast, Bioinformatics and Protein–protein interaction.
He most often published in these fields:
- Genetics (29.59%)
- Cell biology (21.09%)
- Gene (19.73%)
What were the highlights of his more recent work (between 2015-2021)?
- Cell biology (21.09%)
- DNA methylation (15.65%)
- Computational biology (15.99%)
In recent papers he was focusing on the following fields of study:
Takashi Ito mainly investigates Cell biology, DNA methylation, Computational biology, Epigenetics and Genetics.
His studies examine the connections between Cell biology and genetics, as well as such issues in Induced pluripotent stem cell, with regards to Autologous transplantation.
His study ties his expertise on Stem cell together with the subject of DNA methylation.
His research integrates issues of CRISPR, Bioinformatics, Genome, DNA and Budding yeast in his study of Computational biology.
In Genome, Takashi Ito works on issues like Chromatin, which are connected to Footprinting and Transcriptional regulation.
His work focuses on many connections between Epigenetics and other disciplines, such as Gene expression, that overlap with his field of interest in Offspring.
Between 2015 and 2021, his most popular works were:
- Pioneer Factor NeuroD1 Rearranges Transcriptional and Epigenetic Profiles to Execute Microglia-Neuron Conversion. (39 citations)
- The AP-1 transcription factor JunB is required for Th17 cell differentiation (27 citations)
- Mapping of histone-binding sites in histone replacement-completed spermatozoa (25 citations)
In his most recent research, the most cited papers focused on:
His main research concerns DNA methylation, Cell biology, Epigenetics, Bisulfite sequencing and Genetics.
His Cell biology research is multidisciplinary, incorporating perspectives in Reprogramming, Gene and Genomic imprinting.
His Epigenetics study also includes fields such as
- Phenotype, Phosphorylation and Low-protein diet most often made with reference to Histone,
- Sperm and related RNA-Directed DNA Methylation, Somatic cell and Epigenetics of physical exercise.
Takashi Ito interconnects Bisulfite, Computational biology and DNA, DNA sequencing in the investigation of issues within Bisulfite sequencing.
His Computational biology research is multidisciplinary, incorporating elements of Proteome, Peptide and Mass spectrometry.
His Genetics study is mostly concerned with Genome, Chromatin and Transcription factor.
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