Transcriptomics
Recent articles
From genes to dynamics: Examining brain cell types in action may reveal the logic of brain function
Defining brain cell types is no longer a matter of classification alone, but of embedding their genetic identities within the dynamical organization of population activity.
From genes to dynamics: Examining brain cell types in action may reveal the logic of brain function
Defining brain cell types is no longer a matter of classification alone, but of embedding their genetic identities within the dynamical organization of population activity.
‘Unprecedented’ dorsal root ganglion atlas captures 22 types of human sensory neurons
The atlas also offers up molecular and cellular targets for new pain therapies.
‘Unprecedented’ dorsal root ganglion atlas captures 22 types of human sensory neurons
The atlas also offers up molecular and cellular targets for new pain therapies.
New organoid atlas unveils four neurodevelopmental signatures
The comprehensive resource details data on microcephaly, polymicrogyria, epilepsy and intellectual disability from 352 people.
New organoid atlas unveils four neurodevelopmental signatures
The comprehensive resource details data on microcephaly, polymicrogyria, epilepsy and intellectual disability from 352 people.
What are the most transformative neuroscience tools and technologies developed in the past five years?
Artificial intelligence and deep-learning methods featured prominently in the survey responses, followed by genetic tools to control circuits, advanced neuroimaging, transcriptomics and various approaches to record brain activity and behavior.
What are the most transformative neuroscience tools and technologies developed in the past five years?
Artificial intelligence and deep-learning methods featured prominently in the survey responses, followed by genetic tools to control circuits, advanced neuroimaging, transcriptomics and various approaches to record brain activity and behavior.
Should neuroscience focus on big team science or the traditional model?
A balanced approach is best, according to the majority of respondents. Many stressed that big team science has value for large-scale, resource-intensive projects, particularly for cell atlases and similar efforts. But some noted that small group support is key for creativity.
Should neuroscience focus on big team science or the traditional model?
A balanced approach is best, according to the majority of respondents. Many stressed that big team science has value for large-scale, resource-intensive projects, particularly for cell atlases and similar efforts. But some noted that small group support is key for creativity.
Whole-brain, bottom-up neuroscience: The time for it is now
Applying new tools to entire brains, starting with C. elegans, offers the opportunity to uncover how molecules work together to generate neural physiology and how neurons work together to generate behavior.
Whole-brain, bottom-up neuroscience: The time for it is now
Applying new tools to entire brains, starting with C. elegans, offers the opportunity to uncover how molecules work together to generate neural physiology and how neurons work together to generate behavior.
Exclusive: Recruitment issues jeopardize ambitious plan for human brain atlas
A lack of six new brain donors may stop the project from meeting its goal to pair molecular and cellular data with the functional organization of the cortex.
Exclusive: Recruitment issues jeopardize ambitious plan for human brain atlas
A lack of six new brain donors may stop the project from meeting its goal to pair molecular and cellular data with the functional organization of the cortex.
Unexpected astrocyte gene flips image of brain’s ‘stalwart sentinels’
The genetic marker upends the accepted orientation of non-star-like astrocytes in the glia limitans superficialis.
Unexpected astrocyte gene flips image of brain’s ‘stalwart sentinels’
The genetic marker upends the accepted orientation of non-star-like astrocytes in the glia limitans superficialis.
Single-cell genomics technologies and cell atlases have ushered in a new era of human neurobiology
Single-cell approaches are already shedding light on the human brain, identifying cell types that are most vulnerable in the early stages of Alzheimer’s disease, for example.
Single-cell genomics technologies and cell atlases have ushered in a new era of human neurobiology
Single-cell approaches are already shedding light on the human brain, identifying cell types that are most vulnerable in the early stages of Alzheimer’s disease, for example.
Thanks to new technologies, neuroscientists have more direct access to the human brain than ever before
Model systems continue to offer us tremendous insight, but it’s time for basic researchers to train their sights on the human brain. If I were starting my career today, I would focus on human neurobiology.
Thanks to new technologies, neuroscientists have more direct access to the human brain than ever before
Model systems continue to offer us tremendous insight, but it’s time for basic researchers to train their sights on the human brain. If I were starting my career today, I would focus on human neurobiology.
Explore more from The Transmitter
Why neural foundation models work, and what they might—and might not—teach us about the brain
These models can partly generalize across species, brain regions and tasks, suggesting that a set of machine-learnable rules govern neural population activity. But will we be able to understand them?
Why neural foundation models work, and what they might—and might not—teach us about the brain
These models can partly generalize across species, brain regions and tasks, suggesting that a set of machine-learnable rules govern neural population activity. But will we be able to understand them?
Error equation predicts brain’s ability to generalize
Four statistical measurements of neural network geometry capture how well brains and artificial networks use what they already know to solve new problems, a study suggests.
Error equation predicts brain’s ability to generalize
Four statistical measurements of neural network geometry capture how well brains and artificial networks use what they already know to solve new problems, a study suggests.
Embrace complexity to improve the translatability of basic neuroscience
Researchers must learn to view heterogeneity as an essential feature of the systems they study and a central consideration in experimental design, not a variable to control for or reduce.
Embrace complexity to improve the translatability of basic neuroscience
Researchers must learn to view heterogeneity as an essential feature of the systems they study and a central consideration in experimental design, not a variable to control for or reduce.