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Study reveals significant role of ADAMTS1 protein in uveal melanoma

Study reveals significant role of ADAMTS1 protein in uveal melanoma
Scientists from the University of Granada and GENYO (Pfizer-University of Granada-Andalusian Government Centre for Genomics and Oncological Research), in a study led by Juan Carlos Rodríguez-Manzaneque, have demonstrated the significant role of a protein called ADAMTS1 in uveal melanoma, one of the rarest and most aggressive cancers that exist, which develops in the eye.
tumors are composed not only of a mass of cells that grow uncontrollably but also of the environment they create during their growth together creating what is known as the tumor microenvironment . Within this environment, there are proteins that remodel it, known as extracellular proteases, which are capable of inhibiting or contributing to tumor growth and metastasis. They do this by modifying non-cellular elements of the tumor microenvironment that form the so-called extracellular matrix. ....

Juan Carlos Rodr , Emmanuelle Charpentier , Jennifera Doudna , Emily Henderson , Andalusian Government Centre For Genomics , Us National Cancer Institute , University Of Granada , Oncological Research , Granada Andalusian Government Centre , Nobel Prize , Cancer Genome Atlas Project , Cancer Institute , இம்மானுவேல் சார்பென்டிர் , எமிலி ஹென்டர்சன் , அண்டலூசின் அரசு மையம் க்கு மரபியல் , எங்களுக்கு தேசிய புற்றுநோய் நிறுவனம் , பல்கலைக்கழகம் ஆஃப் க்ரெநாட , க்ரெநாட அண்டலூசின் அரசு மையம் , நோபல் ப்ரைஸ் , புற்றுநோய் மரபணு அட்லஸ் ப்ராஜெக்ட் , புற்றுநோய் நிறுவனம் ,

Green millet genome resource provides a valuable tool for studying major crops

Date Time
Green millet genome resource provides a valuable tool for studying major crops
Scientists will be better able to investigate the genetics of important traits in crops such as maize and sorghum thanks to a new genome resource for green millet developed by a team that included three RIKEN researchers
1. Its value has already been demonstrated by identifying the gene in foxtail millet responsible for seed shattering-the process by which plants release seeds, which is essential for plants to propagate in the wild but is a major cause of yield loss in crops.
The genome resource consists of a reference sequence from green millet line A10.1 together with the sequenced genomes of nearly 600 diverse samples of green millet. It was assembled by an international team led by Elizabeth Kellogg of the Donald Danforth Plant Science Center and Jeremy Schmutz of the Department of Energy Joint Genome Institute, and included Hitoshi Sakakibara of the RIKEN Center for Sustai ....

United States , Jeremy Schmutz , Elizabeth Kellogg , Hitoshi Sakakibara , Donald Danforth Plant Science Center , Department Of Energy Joint Genome Institute , Energy Joint Genome Institute , Sustainable Resource , North American , North America , ஒன்றுபட்டது மாநிலங்களில் , ஜெர்மி ஸ்சிமுத்ஜ் , எலிசபெத் கெலோக் , டொனால்ட் டான்போர்த் ஆலை அறிவியல் மையம் , துறை ஆஃப் ஆற்றல் கூட்டு மரபணு நிறுவனம் , ஆற்றல் கூட்டு மரபணு நிறுவனம் , நிலையான வள , வடக்கு அமெரிக்கன் , வடக்கு அமெரிக்கா , வளர்சிதை மாற்றம் ,

Computational method uses heat map data to reverse engineer 3D chromosome models

Genome analysis can provide information on genes and their location on a strand of DNA, but such analysis reveals little about their spatial location in relation to one another within chromosomes the highly complex, three-dimensional structures that hold genetic information. ....

United States , University Of Illinois At Chicago , Jie Liang , Emily Henderson , Nature Communications , University Of Illinois Chicago , Illinois Chicago , Study Corresponding Author , Loan Hill Professor , Genetic Information , ஒன்றுபட்டது மாநிலங்களில் , பல்கலைக்கழகம் ஆஃப் இல்லினாய்ஸ் இல் சிகாகோ , ஜிே லியாங் , எமிலி ஹென்டர்சன் , இயற்கை தகவல்தொடர்புகள் , பல்கலைக்கழகம் ஆஃப் இல்லினாய்ஸ் சிகாகோ , இல்லினாய்ஸ் சிகாகோ , கடன் மலை ப்ரொஃபெஸர் , ஜெநெடிக் தகவல் ,

Image-based deep learning haplotype-guided study maps the global adaptation of SARS-CoV-2

Image-based deep learning haplotype-guided study maps the global adaptation of SARS-CoV-2
To date, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative pathogen of coronavirus disease 2019 (COVID-19), has caused more than 93.21 million infections worldwide. As it spreads through different populations, it undergoes adaptations that sometimes affect its transmissibility and other biological characteristics.
An interesting preprint on the
bioRxiv server describes the use of deep learning with image recognition technology to trace the emergence of variants with increased viral fitness. Higher fitness leads to rapid expansion of these lineages in the areas where they are introduced. This type of study could facilitate the development of more effective antibodies and vaccines to help contain the pandemic. ....

United States , United Kingdom , Liji Thomas , Global Initiative On Sharing All Influenza Data , Math Campbell , Global Initiative , Sharing All Influenza Data , North America , Coronavirus Disease Covid 19 , Deep Learning , Sars Cov 2 , Corona Virus , Severe Acute Respiratory , Severe Acute Respiratory Syndrome , ஒன்றுபட்டது மாநிலங்களில் , ஒன்றுபட்டது கிஂக்டம் , கணிதம் கேம்ப்பெல் , உலகளாவிய முயற்சி , வடக்கு அமெரிக்கா , ஆழமான கற்றல் , கொரோனா வைரஸ் , சர்வதேச பரவல் , கடுமையானது எடுப்போசை சுவாச , கடுமையானது எடுப்போசை சுவாச நோய்க்குறி ,

Concern develops over Brazilian SARS-CoV-2 variant

Concern develops over Brazilian SARS-CoV-2 variant
The variant, thought to have originated in Brazil, is affecting travel to South America as effort is made to prevent its spread. Meanwhile, areas of Brazil are experiencing surging numbers of COVID-19 cases and oxygen supplies are running out.
Image Credit: Near D Krasaesom / Shutterstock.com
Identified in Japan
Japanese authorities notified the World Health Organization (WHO) of their concern over a new SARS-CoV-2 variant on 9 January after detecting it in airport tests from four travelers from Brazil. Whole-genome sequencing detected the variant.
The detected variant came from the B.1.1.248 lineage. Its mutations include the N501Y mutation, which it has in common with the variants reported by South Africa and the UK, and the E484K. This is the second variant detected from Brazil containing the E484K mutation. ....

United States , United Kingdom , South Africa , Cape Verde , South African , D Krasaesom Shutterstock , World Health Organization , World Health Organisation , South America , Neard Krasaesom , South American , Coronavirus Disease Covid 19 , Sars Cov 2 , ஒன்றுபட்டது மாநிலங்களில் , ஒன்றுபட்டது கிஂக்டம் , கேப் வர்டீ , உலகம் ஆரோக்கியம் ஆர்கநைஸேஶந் , தெற்கு அமெரிக்கா , தெற்கு அமெரிக்கன் ,