Basal Xenobot transcriptomics reveals changes and novel control modality in cells freed from organismal influence
Communications Biology,
Journal Year:
2025,
Volume and Issue:
8(1)
Published: April 22, 2025
Abstract
Would
transcriptomes
change
if
cell
collectives
acquired
a
novel
morphogenetic
and
behavioral
phenotype
in
the
absence
of
genomic
editing,
transgenes,
heterologous
materials,
or
drugs?
We
investigate
effects
morphology
nascent
emergent
life
history
on
gene
expression
basal
(no
engineering,
no
sculpting)
form
Xenobots
—autonomously
motile
constructs
derived
from
Xenopus
embryo
ectodermal
explants.
To
differences
between
cells
context
an
with
those
that
have
been
freed
instructive
signals
lived
experiences,
we
compare
these
age-matched
embryos.
Basal
show
significantly
larger
inter-individual
variability
than
embryos,
suggesting
increased
exploration
transcriptional
space.
identify
at
least
537
(non-epidermal)
transcripts
uniquely
upregulated
Xenobots.
Phylostratigraphy
shows
majority
transcriptomic
shifts
towards
evolutionarily
ancient
transcripts.
Pathway
analyses
indicate
categories
motility
machinery,
multicellularity,
stress
immune
response,
metabolism,
thanatotranscriptome,
sensory
perception
sound
mechanical
stimuli.
experimentally
confirm
respond
to
acoustic
stimuli
via
changes
behavior.
Together,
data
may
implications
for
evolution,
biomedicine,
synthetic
morphoengineering.
Language: Английский
Xenobot Transcriptomics: Gene Expression Changes in wild-type cells forming a synthetic biobot
Published: Aug. 30, 2024
The
standard
paradigm
of
developmental
and
synthetic
biology
focuses
on
gene
expression
driving
changes
in
morphology.
Here,
we
investigated
the
reverse
relationship:
would
transcriptomes
change
if
cell
collectives
acquired
a
novel
morphogenetic
behavioral
phenotype
absence
genomic
editing,
transgenes,
heterologous
materials,
or
drugs?
We
effects
morphology
nascent
emergent
life
history
basal
(no
engineering,
no
sculpting)
form
Xenobots
–
autonomously
motile
constructs
derived
from
Xenopus
embryo
ectodermal
explants.
compared
these
with
age-matched
embryos.
These
showed
significantly
larger
inter-individual
variability
than
embryos,
suggesting
increased
exploration
transcriptional
space.
identified
at
least
537
(non-epidermal)
transcripts
uniquely
upregulated
Xenobots.
Pathway
analyses
indicated
shifts
categories
motility
machinery,
pattern
formation
multicellularity,
stress
immune
response,
metabolism,
sensory
perception
sound
mechanical
stimuli.
Phylostratigraphic
analysis
that
majority
transcriptomic
were
towards
evolutionarily
ancient
systems.
Lastly,
found
enrichment
thanatotranscriptomic
genes,
shedding
light
distinction
between
death
an
organism
its
cells.
data
relationship
genotype
may
have
implications
for
evolution,
biomedicine,
morphoengineering.
Language: Английский
Biological life is more than physics: Expanding our scientific worldview may be critical for securing the Earth-life system
Published: Aug. 25, 2024
The
future
of
humanity
and
the
environment
are
intertwined.
Our
collective
growth
shapes
disrupts
environmental
systems
at
planetary-scale.
We
pursue
increasingly
technological
futures,
while
warning
need
to
repair
natural
biosphere
that
sustain
us.
Facing
globally
interconnected
challenges,
scientific
approaches
guide
our
decision-making
have
never
been
more
important
for
informing
future.
Physicalist
(physical-only),
reductionistic
worldviews,
which
strive
eliminate
subjectivity,
provide
conceptual
framing
mainstream
views
purport
completely
frame
describe
biological
life.
However,
we
observe
ample
case
studies
from
biology,
ecology,
human
health,
animal
behavior,
other
life
sciences
where
course
events
shaped
by
intrinsic
cognitive
subjective
assessments
benefits
drawbacks.
It
is
argued
such
perceptions,
adaptive
goal-directed
behaviors,
represent
an
overlooked
non-material
facet
or
dimension,
linked
bioelectric
read/write/compute
capacity,
critical
organism-,
ecosystem-,
biosphere-scales.
Language: Английский
Research on cognitive computing model based on machine learning algorithm in artificial intelligence environment
Applied Mathematics and Nonlinear Sciences,
Journal Year:
2024,
Volume and Issue:
9(1)
Published: Jan. 1, 2024
Abstract
In
the
artificial
intelligence
environment,
constructing
cognitive
computational
models
using
machine
learning
algorithms
is
main
direction
of
computer
development.
By
outlining
three
levels
learning,
feature
space
composition
model
exposed
based
on
data
acquired
by
human
brain
monitoring
equipment.
The
Gaussian
decision
tree
algorithm
used
to
construct
computation
model,
and
anthropomorphic
effects
are
explored
in
two
directions:
auditory
features
visual
features.
terms
features,
this
paper
maintains
95.03%
±
2.49%
recognition
rate.
contrast,
proposed
a
high
tracking
success
rate
88.83%.
Based
analysis
results,
computing
has
been
confirmed
perform
excellently.
Language: Английский
Cognitive Glues Are Shared Models of Relative Scarcities: The Economics of Collective Intelligence
B. Lyons,
No information about this author
Michael Levin
No information about this author
Published: Nov. 7, 2024
Collective
intelligence
refers
to
emergent
problem-solving
capacities
that
are
different
than
those
of
the
system’s
subunits.
Due
plethora
multi-scale
systems
within
nature
and
society,
it
is
imperative
understand
interaction
policies
necessary
sufficient
for
subunits
form
collective
intelligences.
The
economy
a
complex
system
consisting
autonomous
elements
at
multiple
scales
which
exhibits
adaptive
capabilities,
suggesting
offers
an
interesting
important
example
intelligence.
We
identify
price
as
cognitive
glue
works
coordinate
by
acting
affordance
allows
members
use
plans
mutually
compatible
with
every
other
member
economy.
Using
existing
framework
Watson
Levin
[1]
we
elaborate
on
various
aspects
make
useful
model
argue
any
must
solve
same
kind
problem
solves
in
broadly
way
it,
thus
serves
generic
template
or
abstract
all
glues.
Finally,
describe
some
research
ideas
combine
concepts
from
biology
economics
hopes
inspiring
interdisciplinary
collaboration.
Language: Английский
The biophysics of balanced living: a mechano-homeostasis paradigm for balancing in animals and robots
Published: Dec. 14, 2024
From
birth
until
death
animals
resist
gravity,
effortfully
asserting
bodily
form,
animate
behaviour,
and
postural
balance.
Most
basic
negentropic
behaviours
are
understood
as
homeostasis
(e.g.
thermoregulation),
but
balance
is
taken
to
be
an
exception.
Many
studies
have
elucidated
its
sub-mechanisms,
the
existence
of
goal-oriented
homeostatic
organisation
remains
open
question.
The
current
theoretical
paper
reviews
existing
work
highlight
challenge
assumptions
that
belie
a
model,
arguing
organised
one
aspect
wider
mechano-homeostasis,
by
control
loop
organisationally
akin
thermoregulation.
biophysical
cost
maintaining
agent-medium
density
gradient
defines
task,
which
regulation
mechanical
force.
Organism-level
mechano-homeostasis
must
approximately
maintain
certain
force
field
at
surface
organism
(i.e.
precisely
cancels
gravitational
acceleration),
or
will
fall,
dissipate
die.
argument
specifies
this
fluid,
dynamical
‘balance’
for
arbitrary
morphologies
configurations,
describes
how
apprehend
it
developmentally
their
own
embodiment.
I
motivate
define
examine
against
evidence,
discuss
implications,
limitations
scope
understanding
embodied
spatiotemporal
animacy
in
robots.
Language: Английский