Massively parallel characterization of transcriptional regulatory elements
Nature,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 15, 2025
Abstract
The
human
genome
contains
millions
of
candidate
cis
-regulatory
elements
(cCREs)
with
cell-type-specific
activities
that
shape
both
health
and
many
disease
states
1
.
However,
we
lack
a
functional
understanding
the
sequence
features
control
activity
these
cCREs.
Here
used
lentivirus-based
massively
parallel
reporter
assays
(lentiMPRAs)
to
test
regulatory
more
than
680,000
sequences,
representing
an
extensive
set
annotated
cCREs
among
three
cell
types
(HepG2,
K562
WTC11),
found
41.7%
sequences
were
active.
By
testing
in
orientations,
find
promoters
have
strand-orientation
biases
their
200-nucleotide
cores
function
as
non-cell-type-specific
‘on
switches’
provide
similar
expression
levels
associated
gene.
contrast,
enhancers
weaker
orientation
biases,
but
increased
tissue-specific
characteristics.
Utilizing
our
lentiMPRA
data,
develop
sequence-based
models
predict
cCRE
variant
effects
high
accuracy,
delineate
motifs
model
combinatorial
effects.
Testing
library
encompassing
60,000
all
further
identified
factors
determine
cell-type
specificity.
Collectively,
work
provides
catalogue
CREs
widely
lines
showcases
how
large-scale
measurements
can
be
dissect
grammar.
Language: Английский
Perspectives on Codebook: sequence specificity of uncharacterized human transcription factors
Arttu Jolma,
No information about this author
Kaitlin U. Laverty,
No information about this author
Ali Fathi
No information about this author
et al.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 12, 2024
SUMMARY
We
describe
an
effort
(“Codebook”)
to
determine
the
sequence
specificity
of
332
putative
and
largely
uncharacterized
human
transcription
factors
(TFs),
as
well
61
control
TFs.
Nearly
5,000
independent
experiments
across
multiple
in
vitro
vivo
assays
produced
motifs
for
just
over
half
TFs
analyzed
(177,
or
53%),
which
most
are
unique
a
single
TF.
The
data
highlight
extensive
contribution
transposable
elements
TF
evolution,
both
cis
trans
,
identify
tens
thousands
conserved,
base-level
binding
sites
genome.
use
provides
unprecedented
opportunity
benchmark
analyze
specificity,
function,
further
explored
accompanying
manuscripts.
1,421
now
associated
with
DNA
motif.
Extrapolation
from
Codebook
benchmarking,
however,
suggests
that
many
currently
known
well-studied
may
inaccurately
TF’s
true
preferences.
Language: Английский