Hi Dear,
I trust this message finds you well.
Permit me to introduce myself. I'm John Romano. I'm looking for woman who's as interested in a long-term relationship as I am.
Three words to describe me: adventurous, optimistic, spontaneous. I am a medical sales personnel, so I'm always open to new possibilities. Seeking casual dates and lots of fun.
Am sorry if i invaded your private space. Apologies. If you want to find out more about me feel free to send me a message and I will be glad to share more about myself with you and send you some of my recent pictures.
Enjoy your day and I look forward to hearing from you!
Cheers,
John
Thursday, November 14, 2024
Sunday, June 16, 2024
Re: Abstract Required | From Genetic Discoveries to Gene Function in Human Diseases Conference, 13 - 16 July 2024, Portugal
Title: Single-cell genomics and regulatory networks for 388 human brains
Speaker: Mark Gerstein
Abstract:
Single-cell genomics is a powerful tool for studying heterogeneous
tissues such as the brain. Yet little is understood about how genetic
variants influence cell-level gene expression. Addressing this, we
uniformly processed single-nuclei, multiomics datasets into a resource
comprising >2.8 million nuclei from the prefrontal cortex across 388
individuals with various brain-related disorders and controls. For 28
harmonized neuronal and non-neuronal cell types, we assessed
population-level variation in expression and chromatin across gene
families and drug targets. Integration of expression and genotype data
revealed >1.4 million single-cell expression quantitative trait loci
(eQTLs), many of which were not seen in bulk gene-expression datasets.
The chromatin datasets allowed for the identification of >550,000
single-cell cis-regulatory elements enriched at loci linked to
brain-related traits. Combining expression, chromatin, and eQTL
datasets, we built cell type–specific gene regulatory and cell-to-cell
communication networks, which manifest cellular changes in aging and
neuropsychiatric disorders, including altered Wnt signaling in
schizophrenia and bipolar disorder. We further constructed an
integrative deep-learning model that accurately imputes single-cell
expression and simulates perturbations. The model prioritized ~250
disease-risk genes and drug targets with associated cell types,
suggesting potential precision-medicine approaches for
neuropsychiatric disorders.
==
i0lis24, eur24
On Wed, Jun 12, 2024 at 5:41 AM Rosie Johnson
<Rosie@fusion-conferences.com> wrote:
>
> Dear Speakers,
>
>
>
> Please submit your abstract for the 'From Genetic Discoveries to Gene Function in Human Diseases' conference by Friday 21st June 2024 for inclusion in the conference abstract book.
>
>
>
> We are looking forward to welcoming you to Portugal very soon!
>
>
>
> Thank you in advance for your cooperation.
>
>
>
> Best wishes,
>
>
>
> Rosie Johnson | Conference Manager
>
>
>
> T: +44 (0) 1638 555057
>
> DD: +44 (0) 1638 599351
>
> E: rosie@fusion-conferences.com
>
> Twitter: @Fusion_Conf
>
>
>
> Please note the Fusion office is open Mon - Thurs (08.30 – 17:00).
>
>
>
> *SCAM EMAILS* Please be vigilant on email and phone, we have been made aware that our speakers are being approached by several scam companies (Travel Hosting, Traveller Point, E Hotel Services or similar) regarding accommodation for Fusion meetings. Communications relating to our meetings will always come from a named Fusion team member and our email domain will always end in '@fusion-conferences.com'. For peace of mind, you can visit our website at any time to familiarise yourself with the Fusion team.
>
>
>
> Fusion Conferences Ltd, Unit 5D Lynx Business Park, Fordham Road, Snailwell, Cambridgeshire, CB8 7NY. Email and the internet are not considered secure media. Please note that we cannot accept liability for any data intercepted and processed. We process personal data contained herein in accordance with UK data protection legislation. All feasible security measures are in place. For further information, please see our Privacy Policy. If you are not the intended recipient of this email, please let the sender know and then destroy all copies. Thank you.
>
>
Speaker: Mark Gerstein
Abstract:
Single-cell genomics is a powerful tool for studying heterogeneous
tissues such as the brain. Yet little is understood about how genetic
variants influence cell-level gene expression. Addressing this, we
uniformly processed single-nuclei, multiomics datasets into a resource
comprising >2.8 million nuclei from the prefrontal cortex across 388
individuals with various brain-related disorders and controls. For 28
harmonized neuronal and non-neuronal cell types, we assessed
population-level variation in expression and chromatin across gene
families and drug targets. Integration of expression and genotype data
revealed >1.4 million single-cell expression quantitative trait loci
(eQTLs), many of which were not seen in bulk gene-expression datasets.
The chromatin datasets allowed for the identification of >550,000
single-cell cis-regulatory elements enriched at loci linked to
brain-related traits. Combining expression, chromatin, and eQTL
datasets, we built cell type–specific gene regulatory and cell-to-cell
communication networks, which manifest cellular changes in aging and
neuropsychiatric disorders, including altered Wnt signaling in
schizophrenia and bipolar disorder. We further constructed an
integrative deep-learning model that accurately imputes single-cell
expression and simulates perturbations. The model prioritized ~250
disease-risk genes and drug targets with associated cell types,
suggesting potential precision-medicine approaches for
neuropsychiatric disorders.
==
i0lis24, eur24
On Wed, Jun 12, 2024 at 5:41 AM Rosie Johnson
<Rosie@fusion-conferences.com> wrote:
>
> Dear Speakers,
>
>
>
> Please submit your abstract for the 'From Genetic Discoveries to Gene Function in Human Diseases' conference by Friday 21st June 2024 for inclusion in the conference abstract book.
>
>
>
> We are looking forward to welcoming you to Portugal very soon!
>
>
>
> Thank you in advance for your cooperation.
>
>
>
> Best wishes,
>
>
>
> Rosie Johnson | Conference Manager
>
>
>
> T: +44 (0) 1638 555057
>
> DD: +44 (0) 1638 599351
>
> E: rosie@fusion-conferences.com
>
> Twitter: @Fusion_Conf
>
>
>
> Please note the Fusion office is open Mon - Thurs (08.30 – 17:00).
>
>
>
> *SCAM EMAILS* Please be vigilant on email and phone, we have been made aware that our speakers are being approached by several scam companies (Travel Hosting, Traveller Point, E Hotel Services or similar) regarding accommodation for Fusion meetings. Communications relating to our meetings will always come from a named Fusion team member and our email domain will always end in '@fusion-conferences.com'. For peace of mind, you can visit our website at any time to familiarise yourself with the Fusion team.
>
>
>
> Fusion Conferences Ltd, Unit 5D Lynx Business Park, Fordham Road, Snailwell, Cambridgeshire, CB8 7NY. Email and the internet are not considered secure media. Please note that we cannot accept liability for any data intercepted and processed. We process personal data contained herein in accordance with UK data protection legislation. All feasible security measures are in place. For further information, please see our Privacy Policy. If you are not the intended recipient of this email, please let the sender know and then destroy all copies. Thank you.
>
>
Saturday, June 15, 2024
Talk at EMBL in July '24 [eur24embl]
Title: Topics in Neurogenomics & Genomic Privacy
Speaker: Mark Gerstein
Abstract:
My talk will focus on neurogenomics and how this has inspired my group
to become interested in genomic privacy and security. I'll first
discuss our work within the PsychENCODE consortium, where we created a
single-cell multiomics resource of the human prefrontal cortex. This
resource encompasses over 2.8 million nuclei from 388 individuals,
enabling the identification of expression quantitative trait loci and
cell type-specific regulatory elements. Our neurogenomics work has
encouraged us to develop computational tools, particularly expression
clustering algorithms. We used these to construct cell-type regulatory
networks and cell-to-cell communication networks, which change
substantially in aging and neuropsychiatric disorders. Furthermore, we
developed an integrative model to impute single-cell expression and
prioritize disease-risk genes and drug targets. Finally, I'll talk
about how important it is to keep large-scale cohort data,
particularly for mental illness, both private and secure. I'll
highlight some techniques that we have developed for security,
particularly in relation to assessing and mitigating privacy leakage
from genomic datasets.
Speaker: Mark Gerstein
Abstract:
My talk will focus on neurogenomics and how this has inspired my group
to become interested in genomic privacy and security. I'll first
discuss our work within the PsychENCODE consortium, where we created a
single-cell multiomics resource of the human prefrontal cortex. This
resource encompasses over 2.8 million nuclei from 388 individuals,
enabling the identification of expression quantitative trait loci and
cell type-specific regulatory elements. Our neurogenomics work has
encouraged us to develop computational tools, particularly expression
clustering algorithms. We used these to construct cell-type regulatory
networks and cell-to-cell communication networks, which change
substantially in aging and neuropsychiatric disorders. Furthermore, we
developed an integrative model to impute single-cell expression and
prioritize disease-risk genes and drug targets. Finally, I'll talk
about how important it is to keep large-scale cohort data,
particularly for mental illness, both private and secure. I'll
highlight some techniques that we have developed for security,
particularly in relation to assessing and mitigating privacy leakage
from genomic datasets.
Talk at UCL in July '24 [eur24ucl]
Title: Topics in Neurogenomics & Genomic Privacy
Speaker: Mark Gerstein
Abstract:
My talk will focus on neurogenomics and how this has inspired my group
to become interested in genomic privacy and security. I'll first
discuss our work within the PsychENCODE consortium, where we created a
single-cell multiomics resource of the human prefrontal cortex. This
resource encompasses over 2.8 million nuclei from 388 individuals,
enabling the identification of expression quantitative trait loci and
cell type-specific regulatory elements. Our neurogenomics work has
encouraged us to develop computational tools, particularly expression
clustering algorithms. We used these to construct cell-type regulatory
networks and cell-to-cell communication networks, which change
substantially in aging and neuropsychiatric disorders. Furthermore, we
developed an integrative model to impute single-cell expression and
prioritize disease-risk genes and drug targets. Finally, I'll talk
about how important it is to keep large-scale cohort data,
particularly for mental illness, both private and secure. I'll
highlight some techniques that we have developed for security,
particularly in relation to assessing and mitigating privacy leakage
from genomic datasets.
Speaker: Mark Gerstein
Abstract:
My talk will focus on neurogenomics and how this has inspired my group
to become interested in genomic privacy and security. I'll first
discuss our work within the PsychENCODE consortium, where we created a
single-cell multiomics resource of the human prefrontal cortex. This
resource encompasses over 2.8 million nuclei from 388 individuals,
enabling the identification of expression quantitative trait loci and
cell type-specific regulatory elements. Our neurogenomics work has
encouraged us to develop computational tools, particularly expression
clustering algorithms. We used these to construct cell-type regulatory
networks and cell-to-cell communication networks, which change
substantially in aging and neuropsychiatric disorders. Furthermore, we
developed an integrative model to impute single-cell expression and
prioritize disease-risk genes and drug targets. Finally, I'll talk
about how important it is to keep large-scale cohort data,
particularly for mental illness, both private and secure. I'll
highlight some techniques that we have developed for security,
particularly in relation to assessing and mitigating privacy leakage
from genomic datasets.
Talk at NEC Labs America [i0nec24]
Title: Topics in Neurogenomics & Genomic Privacy
Speaker: Mark Gerstein
Abstract:
My talk will focus on neurogenomics and how this has inspired my group
to become interested in genomic privacy and security. I'll first
discuss our work within the PsychENCODE consortium, where we created a
single-cell multiomics resource of the human prefrontal cortex. This
resource encompasses over 2.8 million nuclei from 388 individuals,
enabling the identification of expression quantitative trait loci and
cell type-specific regulatory elements. Our neurogenomics work has
encouraged us to develop computational tools, particularly expression
clustering algorithms. We used these to construct cell-type regulatory
networks and cell-to-cell communication networks, which change
substantially in aging and neuropsychiatric disorders. Furthermore, we
developed an integrative model to impute single-cell expression and
prioritize disease-risk genes and drug targets. Finally, I'll talk
about how important it is to keep large-scale cohort data,
particularly for mental illness, both private and secure. I'll
highlight some techniques that we have developed for security,
particularly in relation to assessing and mitigating privacy leakage
from genomic datasets.
Speaker: Mark Gerstein
Abstract:
My talk will focus on neurogenomics and how this has inspired my group
to become interested in genomic privacy and security. I'll first
discuss our work within the PsychENCODE consortium, where we created a
single-cell multiomics resource of the human prefrontal cortex. This
resource encompasses over 2.8 million nuclei from 388 individuals,
enabling the identification of expression quantitative trait loci and
cell type-specific regulatory elements. Our neurogenomics work has
encouraged us to develop computational tools, particularly expression
clustering algorithms. We used these to construct cell-type regulatory
networks and cell-to-cell communication networks, which change
substantially in aging and neuropsychiatric disorders. Furthermore, we
developed an integrative model to impute single-cell expression and
prioritize disease-risk genes and drug targets. Finally, I'll talk
about how important it is to keep large-scale cohort data,
particularly for mental illness, both private and secure. I'll
highlight some techniques that we have developed for security,
particularly in relation to assessing and mitigating privacy leakage
from genomic datasets.
Wednesday, April 10, 2024
The Festival of Genomics & BioData, June 2024, Boston [i0fog24]
Title: Topics in Neurogenomics
Bullets:
* Single cell analysis of almost 400 brain transcriptomes, including
single-cell eQTLs
* Cell type specific regulatory networks
* Integrative deep-learning model for data imputation and to predict
disease risk
Bullets:
* Single cell analysis of almost 400 brain transcriptomes, including
single-cell eQTLs
* Cell type specific regulatory networks
* Integrative deep-learning model for data imputation and to predict
disease risk
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