Scientists at New York City’s health department have begun to analyze the novel coronavirus’s genetic material to allow them to trace the origins of any future outbreaks in the coming months as they cautiously look to reopen the largely shuttered city.
Their work joins similar efforts at scores of institutions around the world, which have been sequencing the genomes of virus samples and pooling their findings in an online global database, allowing researchers to observe subtle differences between samples to track the outbreak’s spread.
Dr. Oxiris Barbot, the city’s health commissioner, told Reuters during a tour this week of the Public Health Laboratory in Manhattan that genome sequencing could help blunt any second wave of infections later in the year.
“We can use that fingerprint information to understand if those additional infections are due to infections that were still here in the city or if they’ve been imported from someplace else,” she said in an interview, wearing a floral-patterned cloth mask over her nose and mouth.
On the laboratory’s ninth floor, scientists in blue protective gear and face shields are working on the sequencing in cramped rooms, the doors to which are plastered with hazard warnings and rules on safety precautions.
Colleagues on other floors run diagnostic tests for COVID-19, the potentially lethal respiratory illness caused by the coronavirus, on samples sent over from city hospitals without their own testing facilities.
Showerheads are embedded in the ceilings of the building’s drab corridors, and can be activated with the yank of a cord if a worker fears they have been contaminated by whatever they are studying.
The genome of the novel coronavirus consists of a single, short strand of ribonucleic acid, or RNA, that the virus uses to hijack its host’s cellular machinery and make copies of itself.
Only four different kinds of “letters” make up a string of RNA, c, u, a and g. The novel coronavirus genome is about 30,000 letters long, tiny compared with the 3 billion letters that make up the DNA of the human genome.
As the virus replicates itself inside its host, it can make tiny transcription errors, altering its genetic signature. These mutations, which can be passed along in subsequent infections, can be detected in samples taken from patients to create a sort of genetic family tree.
Across First Avenue from the Public Health Laboratory, scientists at New York University’s Grossman School of Medicine who sequenced samples of the virus deduced that the variant of the virus dominating in New York City – the heart of one the deadliest outbreaks in the world – arrived via Europe.
“It’s sort of like doing detective work,” Adriana Heguy, one of the New York University researchers, said in an interview.
She has been sharing her results with colleagues around the world via the Germany-based GISAID database, which was created to track the ebb and flow of influenza viruses.
“You can find your chain of transmission by doing this,” she said.
Health officials can use this knowledge to determine which measures are more effective than others and where their points of vulnerability may lie.
While most mutations are trivial and do not affect the virus’s behavior, Heguy and other researchers are also working to amass enough samples to see if there are any clinical differences seen in different variants of the virus, and their work may help design a vaccine that offers the broadest possible protection.
Source – Reuters
Scientists at New York City’s health department have begun to analyze the novel coronavirus’s genetic material to allow them to trace the origins of any future outbreaks in the coming months as they cautiously look to reopen the largely shuttered city.
Their work joins similar efforts at scores of institutions around the world, which have been sequencing the genomes of virus samples and pooling their findings in an online global database, allowing researchers to observe subtle differences between samples to track the outbreak’s spread.
Dr. Oxiris Barbot, the city’s health commissioner, told Reuters during a tour this week of the Public Health Laboratory in Manhattan that genome sequencing could help blunt any second wave of infections later in the year.
On the laboratory’s ninth floor, scientists in blue protective gear and face shields are working on the sequencing in cramped rooms, the doors to which are plastered with hazard warnings and rules on safety precautions.
Colleagues on other floors run diagnostic tests for COVID-19, the potentially lethal respiratory illness caused by the coronavirus, on samples sent over from city hospitals without their own testing facilities.
Showerheads are embedded in the ceilings of the building’s drab corridors, and can be activated with the yank of a cord if a worker fears they have been contaminated by whatever they are studying.
The genome of the novel coronavirus consists of a single, short strand of ribonucleic acid, or RNA, that the virus uses to hijack its host’s cellular machinery and make copies of itself.
Only four different kinds of “letters” make up a string of RNA, c, u, a and g. The novel coronavirus genome is about 30,000 letters long, tiny compared with the 3 billion letters that make up the DNA of the human genome.
As the virus replicates itself inside its host, it can make tiny transcription errors, altering its genetic signature. These mutations, which can be passed along in subsequent infections, can be detected in samples taken from patients to create a sort of genetic family tree.
Across First Avenue from the Public Health Laboratory, scientists at New York University’s Grossman School of Medicine who sequenced samples of the virus deduced that the variant of the virus dominating in New York City – the heart of one the deadliest outbreaks in the world – arrived via Europe.
She has been sharing her results with colleagues around the world via the Germany-based GISAID database, which was created to track the ebb and flow of influenza viruses.
Health officials can use this knowledge to determine which measures are more effective than others and where their points of vulnerability may lie.
While most mutations are trivial and do not affect the virus’s behavior, Heguy and other researchers are also working to amass enough samples to see if there are any clinical differences seen in different variants of the virus, and their work may help design a vaccine that offers the broadest possible protection.
Source – Reuters
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Scientists at New York City’s health department have begun to analyze the novel coronavirus’s genetic material to allow them to trace the origins of any future outbreaks in the coming months as they cautiously look to reopen the largely shuttered city.
Their work joins similar efforts at scores of institutions around the world, which have been sequencing the genomes of virus samples and pooling their findings in an online global database, allowing researchers to observe subtle differences between samples to track the outbreak’s spread.
Dr. Oxiris Barbot, the city’s health commissioner, told Reuters during a tour this week of the Public Health Laboratory in Manhattan that genome sequencing could help blunt any second wave of infections later in the year.
On the laboratory’s ninth floor, scientists in blue protective gear and face shields are working on the sequencing in cramped rooms, the doors to which are plastered with hazard warnings and rules on safety precautions.
Colleagues on other floors run diagnostic tests for COVID-19, the potentially lethal respiratory illness caused by the coronavirus, on samples sent over from city hospitals without their own testing facilities.
Showerheads are embedded in the ceilings of the building’s drab corridors, and can be activated with the yank of a cord if a worker fears they have been contaminated by whatever they are studying.
The genome of the novel coronavirus consists of a single, short strand of ribonucleic acid, or RNA, that the virus uses to hijack its host’s cellular machinery and make copies of itself.
Only four different kinds of “letters” make up a string of RNA, c, u, a and g. The novel coronavirus genome is about 30,000 letters long, tiny compared with the 3 billion letters that make up the DNA of the human genome.
As the virus replicates itself inside its host, it can make tiny transcription errors, altering its genetic signature. These mutations, which can be passed along in subsequent infections, can be detected in samples taken from patients to create a sort of genetic family tree.
Across First Avenue from the Public Health Laboratory, scientists at New York University’s Grossman School of Medicine who sequenced samples of the virus deduced that the variant of the virus dominating in New York City – the heart of one the deadliest outbreaks in the world – arrived via Europe.
She has been sharing her results with colleagues around the world via the Germany-based GISAID database, which was created to track the ebb and flow of influenza viruses.
Health officials can use this knowledge to determine which measures are more effective than others and where their points of vulnerability may lie.
While most mutations are trivial and do not affect the virus’s behavior, Heguy and other researchers are also working to amass enough samples to see if there are any clinical differences seen in different variants of the virus, and their work may help design a vaccine that offers the broadest possible protection.
Source – Reuters
Related Posts
RNA sequencing reveals functional chimeric mRNAs in mammalian immunity
Atlas of the brain’s striatum could guide researchers to new drug treatments
Immune cells offer insights on billion-dollar virus
A functionally integrated cross-tissue alternative splicing program during short-term calorie restriction
Dietary oxidized plant sterol shifts macrophage state to fuel aortic inflammation
Unlocking the past – new method helps gain insights into old tissue
Novel AI model trained on RNA-Seq data accurately detects key gene mutations and predicts biomarkers across 32 cancer types
Transcriptomic aging clock reveals age-related molecular patterns in opioid dependence
RNA sequencing helps predict stem cell transplant benefit in pediatric AML
Protein ‘switch’ determines whether liposarcoma cells will become aggressive
Precursor tRNAs sense temperature changes: heat stress-induced capped pre-tRNAs suppress protein synthesis
Ketamine increases neuroplasticity in female mice but not in males
Somatic mutations linked to vascular damage in progeria
Scientists map dormant cancer cells’ hideouts, opening new targets for treatment
Soluble signals released by neighboring cells direct how the human kidney is built
Genetics influence how cancer arises – and how it evolves
RNA-based testing uncovers extraordinary diversity in mutations driving lung cancer
Study offers new insights into why ex-smokers remain at elevated risk of lung disease
Learning the grammar of gene regulation
New findings could transform new treatment for rare brain tumor astroblastoma
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