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16 AUGUST 2013 VOL 341 SCIENCE www.sciencemag.org
720
PERSPECTIVES
RNA has traditionally been viewed
as the genomic “messenger” mol-
ecule, carrying the coding informa-
tion from DNA to make proteins. However,
an abundance of short and long noncoding
RNAs also exist, many of which are likely to
have regulatory roles. Little is known about
the mechanisms of action of long noncoding
RNAs, but many appear to act as “guides”
that recruit protein regulatory complexes to
specifi c genomic loci to control gene expres-
sion ( 1). Where these long noncoding RNAs
contact the genome, and how they locate these
regulatory targets, have been open questions.
On page 767 of this issue, Engreitz et al. ( 2)
show that the mouse long noncoding RNA
called X-inactive specifi c transcript (Xist) is
initially targeted to specifi c loci across the X
chromosome using a targeting mechanism
that exploits three-dimensional chromosome
topology.
The Xist RNA orchestrates dosage com-
pensation in female mammalian cells.
Because female mammals have two X chro-
mosomes, inactivating one of them prevents
the expression of twice as many X-chromo-
some genes as in males, which possess only
one X chromosome. In X-inactivation, Xist is
synthesized (17 kilobases in length) from the
X chromosome that will ultimately become
inactivated. It recruits the polycomb repres-
sive complex 2 (PRC2) to switch off gene
expression from one X chromosome in each
female cell ( 3). Eventually, Xist appears to
encapsulate the entire inactive X chromo-
some in a “cloud” (as seen by microscopy),
forming a silencing compartment. The few
genes that escape silencing are seen looping
out of the condensed core ( 4). By develop-
ing and applying a technique to map RNA
interaction sites in the genome, Engreitz et
al. describe these images at a genomic level.
Consistent with microscopic observations,
the authors found that Xist interaction sites
are distributed broadly across the X chromo-
some in mouse fi broblasts, whereas “escape”
genes showed reduced association with Xist.
However, the most interesting questions
relate to how Xist establishes this pattern
of binding during the initiation of X-chro-
mosome inactivation. To investigate these
early events, Engreitz et al. used an induc-
ible system in mouse embryonic stem cells
that allowed them to activate Xist expres-
sion and map Xist interaction sites at defi ned
time points. They observed that Xist does not
spread uniformly outwards along the chro-
mosome sequence, but rather appears to pref-
erentially “jump” from its site of transcription
to certain early binding sites.
One mechanism to explain how Xist could
target specifi c distal loci would be the pres-
ence of high-affi nity binding sites at these
locations. Intriguingly, Engreitz et al. could
not identify any genomic feature to explain
the pattern of Xist early binding. Instead, the
authors considered the three-dimensional
organization of the genome by using pub-
lished data from “Hi-C” ( 5), a high-through-
put “chromosome conformation capture”
technology that allows identifi cation of DNA
sequences in close proximity to each other
within the nucleus. The authors discovered
that the early binding sites for Xist correspond
to loci that are spatially close to the Xist tran-
scription site. This suggested that Xist might
fi nd its targets by binding sequences nearby
in space, rather than those that are close along
the linear sequence. Importantly, the authors
tested their hypothesis by expressing Xist
from a different position on the X chromo-
some and found a new pattern of Xist early
binding sites that corresponded to sites in
close spatial proximity to the new location.
From these early binding sites, Engreitz
et al. show that Xist requires its A-repeats to
spread across and silence active genes. The
A-repeats are required for PRC2 recruitment
( 6) and for repositioning active genes into the
Xist silencing compartment ( 4). A model is
thus proposed whereby the three-dimensional
chromosome conformation is exploited to
extrude Xist onto its early binding site targets
where it then helps to modify and reorganize
the X-chromosome architecture.
Several key questions remain regarding
the secondary spreading of Xist and con-
trol mechanisms to prevent inappropriate
spreading across genes that escape inactiva-
tion or from transferring to other chromo-
somes. Engreitz et al. found sharp transitions
of Xist binding surrounding escape genes,
which may relate to previous work implicat-
ing CCCTC-binding factor (CTCF) in block-
ing Xist spreading ( 7). In addition to tran-
scription, CTCF controls chromatin archi-
tecture by binding together strands of DNA
and forming chromatin loops. CTCF binding
sites that are adjacent to escape genes may
play a role in segregating these regions from
Xist binding. Preventing spread to other chro-
mosomes requires the nuclear matrix protein
heterogeneous nuclear ribonucleoprotein U
(hnRNP U) ( 8), which may facilitate transfer
of Xist from the transcription site to contact-
ing regions. Although hnRNP U is located
throughout the nucleus, differences in con-
Long Noncoding RNAs Xist
in Three Dimensions
MOLECULAR BIOLOGY
Andrew Dimond and Peter Fraser
The three-dimensional organization of the
mammalian genome spatially guides the
binding of an RNA to loci for silencing gene
expression.
?
?
?
X
i
s
t
X chromosome
Long
noncoding
RNA
Nucleus
Chromosomes
Organizing silence. The Xist long noncoding RNA
binds to sites in close spatial proximity on the X chro-
mosome. A mechanism based on the three-dimen-
sional genome architecture could be a general strat-
egy for targeting long noncoding RNAs.
CREDIT: V. ALTOUNIAN/SCIENCE
Nuclear Dynamics Programme, The Babraham Institute,
Cambridge, UK. E-mail: peter.fraser@babraham.ac.uk
Published by AAAS
on February 6, 2015www.sciencemag.orgDownloaded from on February 6, 2015www.sciencemag.orgDownloaded from
www.sciencemag.org SCIENCE VOL 341 16 AUGUST 2013 721
PERSPECTIVES
The supply, storage, and fl ow of water
under an ice sheet are crucial for its
overall dynamics. The density differ-
ence between ice and water limits subglacial
water pressure to the pressure from overlying
ice. Near this limit, the ice gradually becomes
decoupled from the base (see the figure),
water-filled cavities form, and sediments
become weakened. The velocity of ice mov-
ing over the bedrock increases due to reduced
friction and faster sediment deformation.
Subglacial water pressure is therefore the key
parameter that controls basal motion, ice fl ux,
and the future evolution of an ice sheet. On
page 777 of this issue ( 1), Meierbachtol et al.
present a detailed record of water pressure
variability under one region of the Greenland
ice sheet.
Glacier hydrology has been investigated in
great detail on mountain glaciers, providing
insights into their drainage over the course
of the melt season ( 2– 5). However, similar
measurements have been mostly missing on
the ice sheets. Only very recently, dye-trac-
ing experiments provided information on the
evolution of the hydraulic properties of sub-
glacial drainage ( 6, 7) and their link to surface
velocity variations ( 8). The reason for the
sparse observational data are the diffi culty
of investigating an extended karst-like sys-
tem that can change its characteristics within
days and that is drained by big, violent, and
sediment-laden rivers. Some of the biggest
such rivers are invisible as they emerge from
the ice sheet at great depth in deeply incised
fjords fi lled with icebergs. Directly explor-
ing the under-ice environment is a diffi cult
endeavor because of thick ice, rapidly freez-
ing boreholes, and ice fl ow that can stretch
and rip instrumentation cables.
Meierbachtol et al. explore subglacial con-
ditions on a transect from the Greenland ice
sheet’s margin to its interior, sampling water
pressure at several drill sites. Their main fi nd-
ing is the different characteristics of subgla-
cial water drainage between marginal and
inland areas of the ice sheet. Whereas bore-
holes close to the ice sheet margin showed
large diurnal variations of water pressure, the
inland sites showed persistent high water pres-
sure with small fl uctuations. Their interpreta-
tion is that an effi cient system of high-capac-
ity channels exists under the marginal parts of
Gauging Greenland’s
Subglacial Water
GEOPHYSICS
Martin Lüthi
Subglacial water fl ow regimes differ between
the interior and the margins of the Greenland
Ice Sheet.
CREDIT: MARTIN LÜTHI
Laboratory of Hydraulics, Hydrology and Glaciology (VAW),
ETH Zürich, 8093 Zürich, Switzerland. E-mail: luethi@vaw.
baug.ethz.ch
Freshly exposed, glacially carved bedrock. Sediment-covered areas and solid bedrock form the base of the
Greenland ice sheet. Scratch marks from rocks dragged along this freshly exposed bedrock in West Greenland
illustrate the sliding motion of ice over its base. Meierbachtol et al. provide insights into the mechanisms of
water fl ow, which controls sliding motion.
tact frequency between cis-linked loci and
interchromosomal interactions may inhibit
Xist from establishing a foothold on other
chromosomes. The biggest gaps still to fi ll
are details that explain how Xist eventually
encompasses the entire chromosome. Does
Xist spread from early sites into adjacent
sites by diffusion or transfer across a fairly
static chromosome structure, or do chromo-
some dynamics allow other binding sites to
iteratively contact and collect RNA from the
Xist locus to eventually produce the broad
distribution seen in all cells? Conformational
studies at later time points of X-inactivation
or live-cell studies could potentially provide
a timeline to fi ll these gaps in RNA and chro-
matin dynamics.
Other long noncoding RNAs ( 9– 11) have
been described that exert their regulatory
effects by exploiting the three-dimensional
folding of the genome. The similarities with
Xist suggest that this may be a general tar-
geting mechanism (see the figure). It will
be interesting to see if other, trans-acting
noncoding RNAs (both long and short) also
exploit three-dimensional genome organiza-
tion to target loci on other chromosomes ( 12,
13). With tools to map RNA binding sites and
describe genome conformation now at hand,
answers to these questions are within reach.
References
1. V. A. Moran, R. J. Perera, A. M. Khalil, Nucleic Acids Res.
40, 6391 (2012).
2. J. M. Engreitz et al., Science 341, 1237973 (2013);
10.1126/science.1237973.
3. J. T. Lee, Nat. Rev. Mol. Cell Biol. 12, 815 (2011).
4. J. Chaumeil, P. Le Baccon, A. Wutz, E. Heard, Genes Dev.
20, 2223 (2006).
5. J. R. Dixon et al., Nature 485, 376 (2012).
6. J. Zhao, B. K. Sun, J. A. Erwin, J.-J. Song, J. T. Lee, Science
322, 750 (2008).
7. G. N. Filippova et al., Dev. Cell 8, 31 (2005).
8. Y. Hasegawa et al., Dev. Cell 19, 469 (2010).
9. K. C. Wang et al., Nature 472, 120 (2011).
10. P. G. Maass et al., J. Clin. Invest. 122, 3990 (2012).
11. F. Lai et al., Nature 494, 497 (2013).
12. J. L. Rinn et al., Cell 129, 1311 (2007).
13. M. Guttman et al., Nature 477, 295 (2011).
10.1126/science.1243257
Published by AAAS
DOI: 10.1126/science.1243257
, 720 (2013);341 Science
Andrew Dimond and Peter Fraser
Long Noncoding RNAs Xist in Three Dimensions
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