Heba Elseedy

Postdoctoral researcher @Instiute de neuroscience de la timone(INT)@siriguteam,Marseille.
# Brain networks # Neuroanatomy.

[Karl Deisseroth @KarlDeisseroth]

Congratulations to our Human Neural Circuitry team; https://t.co/aGD7OacNs8 publishes today in Science! This was the hardest challenge of my career, but one of the most rewarding, after years of rebuilding– & for myself, expanding my inpatient neuropsychiatry work to the service of basic discovery:
https://t.co/4czK1YK2YV

I’m grateful for the opportunity to work with the amazing lead authors Isaac Kauvar @ikauvar, Ethan Richman, and Tony Liu @liutony66, and with equally brilliant faculty colleagues in our HNC program: Carolyn Rodriguez @CRodriguezMDPhD, Paul Nuyujukian, and Vivek Buch @VivekBuchMD, along with many other key collaborators spanning hospital and laboratory. https://t.co/qohlvNuQYF

[Heba Elseedy @elseedy_heba]

The challenges of academia: Navigating a system where trust in research is uncertain, yet progress is still possible

[Sacha Abou Rachid @sachaabourachid]

Why I’m Leaving Academia for Industry

As I near the end of my PhD, I’ve made the decision to transition from academia to industry. This choice wasn’t easy, but one of the main reasons is the lack of transparency and integrity I’ve witnessed in research.

(Con't in the comments)

[Heba Elseedy @elseedy_heba]

The challenges of academia: Navigating a system where trust in research is uncertain, yet progress is still possible

[Sacha Abou Rachid @sachaabourachid]

Science is supposed to be built on trust, but when fundamental research is compromised, it affects everyone. I still believe in the power of science, but I want to be in an environment where integrity is prioritized.
#scientificreport #NIH

[Sacha Abou Rachid @sachaabourachid]

Science is supposed to be built on trust, but when fundamental research is compromised, it affects everyone. I still believe in the power of science, but I want to be in an environment where integrity is prioritized.
#scientificreport #NIH

[Sacha Abou Rachid @sachaabourachid]

Why I’m Leaving Academia for Industry

As I near the end of my PhD, I’ve made the decision to transition from academia to industry. This choice wasn’t easy, but one of the main reasons is the lack of transparency and integrity I’ve witnessed in research.

(Con't in the comments)

[Nicolás Marichal @NicoMarichal]

Our paper on glia-to-neuron conversion is out in @ScienceAdvances. We generated neurons with the capacity of true high-frequency action potential firing and expressing parvalbumin from early cortical astrocytes in vivo💥👇🏻🧵 https://t.co/h7aZz6RBAp

[Halal Nation @HalalNation_]

Sad reality ❤️‍🩹

[Naila Ayad🇵🇸 @Naila_Ayad]

Always remember to boycott this number!

[The Saviour @TheSaviour]

🚨🇮🇱 ISRAEL JUST BOMBED AND KILLED MULTIPLE MORE CIVILIANS IN GAZA

[The Saviour @TheSaviour]

ISRAELI SETTLERS RACE EACHOTHER TO SEE WHO CAN STEAL A PALESTINIAN HOME FIRST

[Mohamad Safa @mhdksafa]

They tried to erase Palestine, but the world has become Palestine.

Thank you Berlin. Don’t stop talking about Gaza.

[Manolis Kellis @manoliskellis]

To the colleagues and friends who find our paper overwhelming, and instead prefer to write and read more manageable papers with more focused messages:
I respect your perspective and your approach to science greatly, and find it invaluable, of course. Both broad and focused papers are needed in science, and we can't all write exactly the same type of paper, and we can't all be the same. Some papers/authors lay the 'landscape', other papers/authors dive deeply into the 'portraits' of specific genes and pathways.
Instead of simply dismissing our work as "TL;DR" and moving on, I encourage you to consider the value of not just releasing data, but also guiding the reader in how the data can be studied, as supporting points for detailed papers that dive into specific insights and facets.
As a genomicist, I have sought to contribute resource papers to the community across different fields (epigenomics, comparative genomics, single-cell, GWAS interpretation). Thousands of scientists have found our papers valuable through the years, and I already see the same excitement for this paper and resource from hundreds of scientists that responded overwhelmingly positively both to the resource and to the specific insights and hypotheses raised, both publicly and privately.
Following up on each of these hypotheses will take years and dedicated PhD and postdoc projects (and ultimately preclinical and therapeutic projects in industry), which are simply impossible tasks in the first landscape paper releasing the resource.
If one agrees that there is value in generating such massive datasets (and I'm happy to have this debate as well), I see three paths for publication:
(a) Simply upload the massive dataset on a website and let others figure it out (with appropriate privacy protections); or
(b) Wait 5-10 years for all the pathways and discoveries to be fully fleshed out in one giant paper or a series of papers as a 'package'; or
(c) Somewhere in the middle, namely releasing the data, providing illustrations of the types of analyses that can be carried out and the insights and tantalizing hypotheses they reveal, and carrying out initial experimental validations to provide validation support for some of our highlighted findings, with the understanding that fully pursuing any one of these insights will take many years and dedicated efforts by 'portrait' scientists.
With approach (c), which we tried to take, the large number of figures and panels in such 'landscape' papers seeks to guide the reader for how to explore the complexity of the dataset and the questions that can be answered. Each of these figures will take time to study, understand, reflect on, improve on, and hopefully each and all together will play a role in seeding ideas and insights, and pushing the field forward.
It is normal for such massive papers and resources to take days, weeks, months, and sometimes years to fully understand, and to fully extract maximum value from. It was a herculean task by the reviewers and editors, as it was of course for the authors, to go through every figure, every panel, and every result.
Of course there will be some mistakes that slipped through that process, and these will be corrected and improved up, with better methods, newer pipelines, and fresh perspectives, in science's self-correcting entreprise. We will learn from our mistakes, and from mistakes of others, and our next papers will hopefully be better, clearer, and more useful, though they will never be perfect, but hopefully sufficiently good to let others build on them and surpass them.
For those readers genuinely overwhelmed by the number of figures and panels in such papers, think of them as a good book with many chapters and many pages, not a YouTube short. Each paragraph, parenthesis, panel, supplementary figure, can hide potential hints and secrets that the authors themselves may have missed, and tools like the ChatGPT Consensus app can help elucidate, and dive deeply into specific hypotheses for hours of exploration. Ultimately, the best part of the paper begins *after* its publication, as countless students, postdocs, and group leaders dive into the findings, and weave their own stories from the threads each paper puts out.
So happy exploring and weaving, and may this paper generate more questions and hypotheses that we could have even imagined. With love to all -Manolis

[Sen. Bernie Sanders @SenSanders]

My colleagues gave repeated standing ovations to Netanyahu yesterday.

I hope they remember the starving children of Gaza who will carry the scars of this disaster for the rest of their lives.

[Heba Elseedy @elseedy_heba]

@kittybmurphy @imperialcollege @sj_marzi @KingsIoPPN Congratulations Dr Murphy. Could you please contact me we might have position for you

[Sriram S @Sriram_S433]

Axons from the cortex arriving at the thalamus in a developing mouse brain, cleared and imaged with @zeiss_micro light sheet #FluorescenceFriday

[Eric Betzig @Eric_Betzig]

#FluorescenceFriday #neuroscience #neurodevelopment Axonal wiring of newly differentiated neurons stochastically labeled by Autobow in the spinal cord of a zebrafish embryo, 48-60 hours post fertilization, as seen by adaptive optical lattice light sheet microscopy https://t.co/2LyYDKNPqG

[Heba Elseedy @elseedy_heba]

@siriguteam Je pense que tous les gens le savent, mais ils agissent comme ça.🙈🙉🙊

[Heba Elseedy @elseedy_heba]

Je connais un hôpital psychiatrique à lyon ou le racisme est journalier!😔😔😔
https://t.co/8aSy0Ij0iw

[Heba Elseedy @elseedy_heba]

https://t.co/wrkjrJYDv1

[Steven Pinker @sapinker]

Nature & Nurture, new episode of Adam Omary's interview series: Dr. Larry Young - Hormones & Sexual Behavior Across Species. https://t.co/mA4Sp20pCl via @YouTube