Science,
Journal Year:
2020,
Volume and Issue:
370(6518)
Published: Nov. 13, 2020
The
genomics
of
human
development
Understanding
the
trajectory
a
developing
requires
an
understanding
how
genes
are
regulated
and
expressed.
Two
papers
now
present
pooled
approach
using
three
levels
combinatorial
indexing
to
examine
single-cell
gene
expression
chromatin
landscapes
from
15
organs
in
fetal
samples.
Cao
et
al.
focus
on
measurements
RNA
broadly
distributed
cell
types
provide
insights
into
organ
specificity.
Domcke
examined
accessibility
cells
these
identify
regulatory
elements
that
regulate
expression.
Together,
analyses
generate
comprehensive
atlases
early
development.
Science
,
this
issue
p.
eaba7721
eaba7612
Science,
Journal Year:
2021,
Volume and Issue:
372(6537)
Published: April 1, 2021
CAR-T
cells
rest
to
get
back
in
the
race
Chimeric
antigen
receptor
(CAR)–T
cells,
which
are
engineered
target
specific
tumor
antigens,
increasingly
used
as
an
immunotherapy.
have
shown
promising
results
patients,
particularly
hematologic
cancers,
but
their
anticancer
activity
can
be
limited
by
onset
of
exhaustion
and
loss
effectiveness.
Weber
et
al.
characterized
phenotypic
epigenomic
changes
associated
with
cell
caused
continuous
beneficial
effects
transient
periods
(see
Perspective
Mamonkin
Brenner).
The
authors
tested
different
approaches
for
providing
these
periods,
such
using
drug
dasatinib
temporarily
suppress
T
activity,
helped
prevent
improved
antitumor
mouse
models.
Science
,
this
issue
p.
eaba1786
;
see
also
34
Genome biology,
Journal Year:
2019,
Volume and Issue:
20(1)
Published: Feb. 26, 2019
Transposase-Accessible
Chromatin
followed
by
sequencing
(ATAC-seq)
is
a
simple
protocol
for
detection
of
open
chromatin.
Computational
footprinting,
the
search
regions
with
depletion
cleavage
events
due
to
transcription
factor
binding,
poorly
understood
ATAC-seq.
We
propose
first
footprinting
method
considering
ATAC-seq
artifacts.
HINT-ATAC
uses
position
dependency
model
learn
preferences
transposase.
observe
strand-specific
patterns
around
binding
sites,
which
are
determined
local
nucleosome
architecture.
By
incorporating
all
these
biases,
able
significantly
outperform
competing
methods
in
prediction
sites
footprints.
