Skip to main content
eLife logoLink to eLife
. 2014 May 29;3:e02811. doi: 10.7554/eLife.02811

TAF7L modulates brown adipose tissue formation

Haiying Zhou 1,2, Bo Wan 3,4, Ivan Grubisic 1,2, Tommy Kaplan 5, Robert Tjian 1,2,*
Editor: James T Kadonaga6
PMCID: PMC4066819  PMID: 24876128

Abstract

Brown adipose tissue (BAT) plays an essential role in metabolic homeostasis by dissipating energy via thermogenesis through uncoupling protein 1 (UCP1). Previously, we reported that the TATA-binding protein associated factor 7L (TAF7L) is an important regulator of white adipose tissue (WAT) differentiation. In this study, we show that TAF7L also serves as a molecular switch between brown fat and muscle lineages in vivo and in vitro. In adipose tissue, TAF7L-containing TFIID complexes associate with PPARγ to mediate DNA looping between distal enhancers and core promoter elements. Our findings suggest that the presence of the tissue-specific TAF7L subunit in TFIID functions to promote long-range chromatin interactions during BAT lineage specification.

DOI: http://dx.doi.org/10.7554/eLife.02811.001

Research organism: mouse

eLife digest

Mammals produce two distinct types of adipose tissue: white adipose tissue (white fat) is the more common type and is used to store energy; brown adipose tissue (brown fat) is mostly found in young animals and infants, and it plays an important role in dissipating energy as heat rather than storing it in fat for future use. In adults, higher levels of brown fat are associated with lower levels of fat overall, so there is considerable interest in learning more about this form of fat to help address rising levels of obesity in the world.

Building on previous work in which they showed that a gene control protein called TAF7L has a central role in the development of the cells that make up white adipose tissue, Zhou et al. now show that this protein also helps to regulate the development of brown adipose tissue.

Mice lacking the gene for this protein developed embryos with 40% less brown fat than wild-type mice with the gene. Moreover, these mice developed muscle-like cells in the regions that should have contained brown fat. Gene expression analysis revealed that ‘knocking out’ the gene for TAF7L changed the expression of more than a thousand genes in these mice.

Zhou et al. suggest that TAF7L works as a ‘molecular switch’ that determines whether certain precursor cells (called mesenchymal stem cells) go on to become brown fat cells or muscle cells. A future challenge will be to devise interventions to regulate the activity or levels of TAF7L as a potential means of modulating brown fat depots in animals and humans.

DOI: http://dx.doi.org/10.7554/eLife.02811.002


Recent studies found that adult humans retain active BAT depots capable of sustaining elevated basal metabolic rates compared to WAT and those higher levels of BAT correlate with lower body mass index (Carey and Kingwell, 2013; Harms and Seale, 2013; Chechi et al., 2014; Kajimura and Saito, 2014). These findings inspired heightened efforts to better understand the formation of BAT during mammalian development. Previously, we showed that TAF7L, an orphan TBP-associated factor cooperates with PPARγ in directing WAT gene regulation (Zhou et al., 2013a). Given the central role of PPARγ in both WAT and BAT development (Cannon and Nedergaard, 2004; Kajimura et al., 2010), we wondered whether TAF7L might also serve as a co-activator regulating the formation of BAT.

To test this hypothesis and assess the functional requirement for TAF7L during BAT development, we performed haematoxylin & eosin (H&E) staining and immunostaining using FABP4 and UCP1 antibodies to delineate regions of BAT in wild-type (WT) and Taf7l knockout (KO) embryos. As expected, FABP4 stains both WAT and BAT, while UCP1 only stains BAT (Pedersen et al., 2001), which is filled with multilocular lipid droplets (Figure 1A). We found that UCP1+ BAT in Taf7l KO mice become largely disorganized, is significantly reduced in size and contains decreased lipid levels (Figure 1A, Figure 1—figure supplement 1A–C). Measurement of dissected BAT pads showed a ∼40% weight reduction of BAT in Taf7l KO animals compared to WT embryos (Figure 1—figure supplement 1B). Intriguingly, skeletal muscle-like tissue emerges and invades regions that normally contain BAT in Taf7l KO mice (Figure 1A, Figure 1—figure supplement 1D), as revealed by a more pronounced red color of Taf7l KO BAT and the staining of pan-skeletal muscle marker myosin heavy chain (MYHC) (Beylkin et al., 2006; Figure 1—figure supplement 1C,E). Our data suggest that loss of TAF7L substantially alters the relative proportion of BAT and muscle lineages in vivo.

Figure 1. TAF7L is required for proper mouse brown adipose tissue (BAT) formation.

(A) Wild type (WT) and Taf7l knockout (Taf7l KO) interscapular BAT from E18.5 embryos was stained with haematoxylin and eosin (H&E), FABP4, and UCP1 (25X magnification shown). Rightmost panel shows FABP4 staining at 200X magnification. (B) Left panel: scatterplot shows gene expression profile in WT versus Taf7l KO BAT tissue; red dots represent genes up-regulated in Taf7l KO, green dots represent down-regulated genes in Taf7l KO. Right panel: gene ontology analysis shows functional groups of genes changed by at least threefold. (C) Difference in expression of either muscle-specific (top) or brown fat (bottom) genes between WT and Taf7l KO BAT with progressive red and green shades showing degrees of up- and down-regulation, respectively.

DOI: http://dx.doi.org/10.7554/eLife.02811.003

Figure 1.

Figure 1—figure supplement 1. Depletion of TAF7L shifts BAT to muscle lineage.

Figure 1—figure supplement 1.

(A) UCP1-stained BAT samples as in Figure 1A for three additional animals (2WT and 1 TAF7L KO). (B) Average BAT weight from WT (n = 10) and Taf7l KO embryos (n = 9). (C) Photographs of whole BAT from 1- or 4-month-old WT and Taf7l KO mice. (D) High-magnification images (200X) of similar areas of WT and Taf7l KO embryonic BAT stained with FABP4 antibody. (E) Haematoxylin and eosin (H&E) and myosin heavy chain (MYHC) staining of Taf7l KO embryos shows muscle–tissue structures along the BAT at high magnification (200X).

Figure 1—figure supplement 2. RT-qPCR comparison of gene expression in WT and Taf7l KO BAT.

Figure 1—figure supplement 2.

Expression levels of BAT-specific genes Ucp1, Cidea, Pgc1a, and Scd1, muscle-specific genes Myhc, Myh1, Myh4, and Myot. Common fat marker gene Adipoq, adipocyte progenitor marker Dlk1, Taf7l and Cyclophilin were used as control. mRNA levels in WT BAT was assigned to 1, and mRNA levels of each gene in Taf7l KO BAT was compared to WT BAT. RT-qPCR was normalized to the levels of Cyclophilin (L). *p<0.05, data is mean and SEM is from triplicates.

Next, we analyzed global gene expression profiles in WT and Taf7l KO BAT by RNA-sequencing (mRNA-seq) (Figure 1B). Over a thousand genes exhibited altered expression levels by >threefold upon Taf7l KO. In particular, BAT-selective genes such as Ucp1, Pgc1α, Cidea, and Scd1 involved in brown fat differentiation, thermogenesis, and mitochondrial function became significantly down-regulated (Figure 1C, Figure 1—figure supplement 2; Harms and Seale, 2013; Ohno et al., 2013). Consistent with the observed enhanced skeletal muscle morphological phenotype (Figure 1A), we observed a concomitant up-regulation of skeletal muscle genes including Myh1-8, Myf5, and Pax3 (Figure 1C, Figure 1—figure supplement 2; Abe et al., 2013). Loss of TAF7L also led to activation of select genes in the formation of cartilage and bone development, but the majority of up-regulated genes appear to be involved in skeletal muscle development and function. We speculate that because BAT and muscle share common MYF5+ dermotomal precursors (Kajimura et al., 2009; Seale and Lazar, 2009; Seale et al., 2011), this relationship might favor the switch from BAT to skeletal muscle as shown in Figure 1A. Our findings suggest that TAF7L tips the balance in favor of BAT development at the expense of skeletal muscle.

To examine the effects of TAF7L loss on brown adipocyte differentiation in vitro, we used C3H10T1/2 mesenchymal stem cells which is able to form multiple cell lineages including adipocytes, muscle, cartilage, and bone. We first depleted TAF7L levels in C3H10T1/2 cells by RNA interference using previously described shTAF7L and control shGFP constructs followed by induction of BAT differentiation (Zhou et al., 2013a). As expected, we observed efficient formation of round fat cells peaking at day 2 post-induction in C3H10T1/2 cells treated with shGFP controls (Figure 2A). By contrast, TAF7L-depleted C3H10T1/2 cells formed elongated muscle-like cells rather than round fat laden adipocytes (Figure 2A). mRNA analysis of post-induction cells (day2) revealed that specific muscle markers (Myf5, Myod1, and Mef2c) become activated in cells treated with shTAF7L, in some cases reaching up to ∼30% of their expression level in myotubes (Figure 2B). At the same time, protein (PPARγ and UCP1) and mRNA (Pgc1α, Ucp1, and Cidea) levels of brown adipocyte markers become significantly reduced 5 days post-induction, suggesting an efficient blockade of brown fat differentiation (Figure 2C,D). We confirmed these results using primary WT and Taf7l KO brown adipocytes (Figure 2—figure supplement 1). Our findings suggest that loss of TAF7L shifts mesenchymal stem cells in culture from adopting an adipocyte fate toward formation of muscle-like cells.

Figure 2. TAF7L bidirectionally regulates BAT/muscle lineages.

(A) 2 days (2D) and 5 days (5D) post-induced control (shCNTL) and TAF7L knockdown (shTAF7L) C3H10T1/2 cells stained with Oil Red O. (B) mRNA levels of myoblast genes Myf5, Myod1, Mef2c, Myhc, and Mlc in 2D post-induced shCNTL and shTAF7L C3H10T1/2 cells, compared to C2C12-induced myotubes. (C) Protein levels of TAF7L, PPARγ, and UCP1 in 5D post-induced shCNTL and shTAF7L cells; Pol II was used as loading control. (D) mRNA levels of brown fat genes (Pgc1a, Ucp1, and Cidea) in 5D post-induced control and shTAF7L cells. (E) 5D post-induced control (C2C12.CNTL) and TAF7L-expressing C2C12 (C2C12.TAF7L) cells were stained with Oil Red O. (F) mRNA levels of myoblast genes Myf5 and Myod1 in pre-induction cells. (G) mRNA levels of BAT-specific genes (Ucp1, Cidea, Cox8b, Pgc1a, and Pparα) 5D post-differentiation. *p<0.05, data is mean and SEM is from triplicates.

DOI: http://dx.doi.org/10.7554/eLife.02811.006

Figure 2.

Figure 2—figure supplement 1. TAF7L is required for brown fat cell differentiation from primary brown adipocytes.

Figure 2—figure supplement 1.

(A) Isolated brown adipose progenitor cells from WT (TAF7L+/Y) and Taf7l KO (TAF7L-/Y) mice was induced with brown adipocyte differentiation regime for 5 days and then stained with Oil Red O. (B and C) mRNA levels of fat-selective genes (B) and muscle-selective genes (C) pre-differentiation. *p<0.05, data is mean and SEM is from triplicates. (D) Expression levels of Taf7l and brown adipocyte marker genes on cells from A, the expression levels of genes in 5D post-induced Taf7l knockout cells were compared to WT cells, whose levels were assigned to 1.

Figure 2—figure supplement 2. Gene expression analysis of control (CNTL) and TAF7L-expressing (TAF7L) C2C12 cells from 0 (0D) to 5 days (5D) post BAT-induction.

Figure 2—figure supplement 2.

mRNA levels of Ucp1, Prdm16, Cidea, Pgc1a, Taf7l, and Myod1 are plotted as relative value to 0D CNTL cells, data is mean and SEM is from triplicates.

We next examined TAF7L gain-of-function in vitro using C2C12 myoblasts that can efficiently form myotubes in vitro. Instead of treating C2C12 cells with the normal muscle-inducing protocol, we applied the brown fat differentiation regime to either control C2C12 cells (C2C12.CNTL) or myoblasts ectopically expressing TAF7L (C2C12.TAF7L) and found that only C2C12.TAF7L cells form multilocular brown fat cells (Figure 2E; Zhou et al., 2013a). RNA analysis showed that TAF7L in C2C12 cells represses the expression of myoblast genes Myf5 and Myod1 while significantly increasing the expression of brown fat-selective genes (Ucp1, Cidea, Pgc1α, and Pparα) post-differentiation (Figure 2F,G, Figure 2—figure supplement 2), suggesting that TAF7L can drive myoblasts toward the brown fat lineage (Seale et al., 2008). These gain of function in vitro results are consistent with the switch from BAT to muscle we observed in Taf7l KO animals in vivo.

Previously, we showed that TAF7L associates with PPARγ when overexpressed in 293T cells (Zhou et al., 2013a). Here, we wanted to confirm this interaction in C3H10T1/2 cells upon brown fat induction. By using sequential immunoprecipitations of doubly tagged TAF7L (FLAG&V5), followed by liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) and western blotting, we found that TAF7L pulls down a subset of TAFs normally associated with the prototypical TFIID complex. Although this coIPed complex contained a number of canonical TFIID TAF subunits, we nevertheless suspect that it may represent a fat-specific and structurally distinct complex (Fat-TFIID) because it behaved in a manner distinct from canonical TFIID by size exclusion chromatography (data not shown). These immunoprecipitation assays also revealed that PPARγ co-purifies with TAF7L in the Fat-TFIID complex from differentiated C3H10T1/2 cells but not from control FLAG-V5-GFP cells (Figure 3A,B) nor with canonical TFIID lacking TAF7L (data not shown). Although we failed to detect PRDM16 in these affinity purification experiments, we did find that ectopically expressed TAF7L and PRDM16 associate with each other in 293T cells (Figure 3C). These data suggest that TAF7L-containing Fat-TFIID has gained the ability to bind endogenous PPARγ, which we speculate might facilitate its association with distinct cofactors such as PRDM16 in BAT or TLE3 in WAT to differentially regulate brown and white adipocyte formation (Villanueva et al., 2011, 2013).

Figure 3. TAF7L within a Fat-TFIID associates with PPARγ and facilitates DNA looping formation.

(A) Silver staining shows co-immunoprecipitated proteins in FLAG-V5-GFP-expressing (GFP, lane 1) and FLAG-V5-TAF7L-expressing (TAF7L, lane 2) C3H10T1/2 differentiated fat cells. Comparative LC-MS/MS analysis identified peptides matching with TFIID subunits (TAF1, TAF4, TBP, TAF5, TAF6, and TAF10) and PPARγ in TAF7L-expressing but not in GFP-expressing cells. FKBP15 and ACSL1 are representative non-specific associated proteins. (B) Western blot analyzing input and immunoprecipitated protein levels of PPARγ, TAF4, TAF7L, and TBP in samples from A. (C) HA-tagged TAF7L and FLAG-tagged PRDM16 were overexpressed in 293T cells, immunoprecipitations were performed on both FLAG and HA antibodies and followed by Western blotting with FLAG and HA antibodies. (D) Upper panel, schematic picture shown the distance between distal enhancer (D) and core promoter (P) of Cidea gene; middle panel, read accumulation of TAF7L, TBP, and PPARγ on Cidea locus in differentiated fat cells from ChIP-seq analysis; bottom panel, 3C experiments assess long-range DNA interactions between the TAF7L/PPARγ binding distal enhancer (D) and core promoter (P) sites of Cidea in WT and Taf7l KO BAT. ▲, anchor point. Also see Figure 3—figure supplement 1C. (E) Model shows TAF7L-mediating regulatory DNA looping to specify BAT differentiation from mesenchymal stem cells (MSC).

DOI: http://dx.doi.org/10.7554/eLife.02811.009

Figure 3.

Figure 3—figure supplement 1. TAF7L colocalizes with PPARγ on core promoters and enhancers of BAT-specific genes.

Figure 3—figure supplement 1.

ChIP-seq read accumulation for TAF7L and PPARγ in both pre- and post-differentiated C3H10T1/2 cells on Ajap1/Prdm16 locus (A) and Ucp1/Bmod2 locus (B). (C) 3C experiments assess long-range interactions between the TAF7L/PPARγ binding distal enhancer (D) and core promoter (P) sites of Scd1 in WT and Taf7l KO BAT. ▲, anchor point.

To probe the potential functional relevance of these interactions, we next examined the genome-wide co-occupancy of TAF7L and PPARγ at BAT-selective genes in differentiated C3H101/2 adipocytes. Due to the presence of rosiglitazone in the differentiation regime, our previous ChIP-seq analysis of C3H10T1/2-derived fat cells represented a mixture of white and brown fat cells, as manifested by enhanced Cidea, Elovl3, and Ucp1 expression (Harms and Seale, 2013). Here, we have re-analyzed the binding site data for TAF7L, TBP, and PPARγ focusing on loci of activated BAT-selective genes (Cidea, Prdm16, and Ucp1) (Figure 3D, Figure 3—figure supplement 1). As shown in Figure 3—figure supplement 1A, B, TAF7L and PPARγ co-occupy overlapping regions at the Prdm16 and Ucp1 loci in post-differentiated (-post) cells, but not at control genes (Ajap1 and Bmod2) nor to the same genes in pre-differentiated cells (-pre). These findings suggest that PPARγ and TAF7L likely function as a coupled activator–coactivator pair that regulates BAT-specific gene transcription much as we previously described for WAT differentiation.

To extend our analysis of TAF7L mechanisms in regulating fat-specific gene transcription, we next employed chromatin conformation capture (3C) to assess its participation in transcription factor-mediated long distance DNA looping at two TAF7L-activated genes Cidea and Scd1 (Figure 3D, Figure 3—figure supplement 1; Liu et al., 2011). These two target genes are bound by TAF7L and PPARγ both at their core promoters as well as at their distal enhancers located ∼10 kb away. In contrast, TBP only binds at the core promoters of these genes. Our 3C results revealed the likely formation of DNA looping between core promoters and distal enhancers in WT BAT for both loci while significantly reduced looping was seen in BAT lacking TAF7L (Figure 3D, Figure 3—figure supplement 1C). These data suggest that the presence/incorporation of TAF7L into the putative Fat-TFIID complex likely mediates or enhances long-range chromatin transactions that influence BAT cell fate.

Taken in aggregate, our findings strongly suggest that TAF7L may serve as a key component of an alternative TFIID complex that favors brown fat formation vs muscle lineages. We do not fully understand the molecular mechanisms driving the enhanced formation of skeletal muscle upon loss of TAF7L, but we speculate that TAF7L depletion decreases the transcription of BAT-selective genes, which might indirectly de-repress muscle-selective genes thereby switching precursor cells toward a skeletal muscle lineage. Moreover, the presence of TAF7L potentiates the efficient participation of a specialized Fat-TFIID complex in long-range chromatin interactions. Such a DNA looping mechanism is likely mediated through association with the fat-specific transcription factor PPARγ (Figure 3E). These new findings and our previous studies support the notion that TAF7L functions as a common cofactor regulator required for both WAT and BAT development.

Materials and methods

Vectors and plasmids

Full-length green fluorescent protein (GFP) or Taf7l cDNAs were inserted into p3XFLAG-CMV-10 vector to construct pCMV-FLAG-V5-GFP/TAF7L or into pCS2+ vector to construct pCS2+HA-TAF7L; full-length PRDM16 cDNA was inserted into p3XFLAG-CMV-10 vector to construct pCMV-FLAG-PRDM16.

Antibodies

TAF4 (612054; BD, San Jose, CA), TBP (62126; abcam, Cambridge, MA), V5 (R960-25; Invitrogen, Carlsbad, CA), HA (9110; abcam), FLAG (F31655; Sigma, Saint Louis, MI) MYHC (05-716; Millipore, Billerica, MA), FABP4 (66682; abcam), UCP1(10983; abcam), TAF7L (prepared in-house, Covance, Denver, PA), Pol II (monoclonal 8WG16, protein-A purified), PPARγ (sc-7196), ANTI-FLAG M2 Affinity Gel (A2220; Sigma), Anti-V5-agarose affinity gel (A7345; Sigma).

Cells culture, stable cell line establishment

C3H10T1/2 and C2C12 cells were cultured in high glucose DMEM with 10% fetal bovine serum at 5% CO2.

C3H10T1/2 cells stably expressing FLAG-V5-GFP/TAF7L were established by transfection of the pCMV-FLAG-V5-GFP/TAF7L plasmids followed by 2 weeks of 1 µg/µl neomycin selection.

Brown adipocyte differentiation, Oil red O staining, and C2C12 myogenesis

For adipogenesis, C3H10T1/2, control and FLAG-TAF7L-expressing C2C12, and FLAG-V5-GFP/TAF7L-expressing C3H10T1/2 cells were grown in high glucose DMEM supplemented with 10% fetal bovine serum. At confluence, cells were exposed to induction medium containing dexamethasone (1 μM) (265005, CalBiochem, San Diego, CA), isobutylmethylxanthine (IBMX, 0.5 mM) (I-5879, Sigma), Indomethacin (0.125 mM) (I-7378, Sigma), and 10% FBS. 3 days later, cells were further cultured in high glucose DMEM-containing insulin (5 μg/ml) (19278, Sigma), T3 (0.1 μM) (T-2877, Sigma), and rosiglitazone (5 μM) (71740, Cayman, Ann Arbor, MI) until they were ready for harvest.

For Oil red O staining, pre- and post-differentiated C3H10T1/2 cells, shGFP and shTAF7L-treated C3H10T1/2 cells, C2C12.CNTL and C2C12.TAF7L cells were washed once in PBS and fixed with freshly prepared 4% formaldehyde in 1 × PBS for 30 min, followed by standard Oil red O staining method described previously (Zhou et al., 2013a).

C2C12 myogenesis procedure followed a previous study (Zhou et al., 2013a).

RNA isolation and real-time PCR analysis

Total RNA from cultured cells or mouse tissues was isolated using QIAGEN RNeasy Plus mini columns according to the manufacturer's instructions (Qiagen, Germany). For RT-qPCR analysis, 1 μg total RNA was reverse transcribed using cDNA reverse transcription kit (Invitrogen). PCR reactions using the SYBR Green PCR Master Mix (Applied Biosystems, Grand Island, NY) were performed according to the manufacturer's instruction using an ABI 7300 real time PCR machine (Applied Biosystems). Relative expression of mRNA was determined after normalization to cyclophilin gene. Student's t test was used to evaluate statistical significance (Zhou et al., 2013b).

Western blot analysis, immunoprecipitation, and silver staining

Whole cell extracts were prepared from cells by homogenization in lysis buffer containing 50 mM Tris-Cl, pH 8.0, 500 mM NaCl, and 0.1% Triton X-100, 10% glycerol, and 1 mM EDTA, supplemented with protease inhibitor cocktail (Roche, Indianapolis, IN) and phenylmethylsulphonyl fluoride (PMSF). 15 μg of whole-cell lysates were separated by SDS-PAGE and transferred to nitrocellulose membrane. For immunoblotting, membranes were blocked in 10% milk, 0.1% Tween-20 in TBS for 30 min, and then incubated with TAF7L, UCP1, PPARγ, and POL II antibodies for 2 hr at room temperature; detailed Western blotting procedure was performed as previously described (Zhou et al., 2006).

3 mg whole-cell extracts from FLAG-V5-GFP/TAF7L post-differentiated adipocytes were immunoprecipitated with 100 µl of ANTI-FLAG M2 Affinity Gel under the conditions of 0.3 M NaCl, 0.2% NP-40 at 4°C overnight. After extensive washing with buffer containing 0.3 M NaCl and 0.1% NP-40, proteins were eluted from the affinity gel with 100 µg/ml FLAG peptide in 0.1 M NaCl Tris buffer. Elutions from both samples were subsequently immunoprecipitated with 40 µl Anti-V5-agarose affinity gel antibody with a similar procedure as above. After extensive washes, proteins were eluted with 40 µl pH2.5 0.1 M glycine for three times and immediately neutralized with 12 µl of pH9.0 2 M Tris-Cl. 10 µl of eluted samples were subjected to 10% SDS-PAGE and followed by standard silver staining or by western blotting analysis with V5, PPARγ, TAF4, and TBP antibodies to detect tagged-proteins in the inputs and associated proteins as previously described (Harms and Seale, 2013). The remaining samples were precipitated by 20% trichloroacetic acid, and the precipitates were sent to liquid chromatography-tandem mass spectrometry (LC-MS/MS) to detect peptides derived from proteins pulled-down by FLAG-V5-GFP/TAF7L.

500 μg whole-cell extracts from 293T cells transfected with HA-TAF7L and FLAG-PRDM16 were immunoprecipitated with FLAG or HA antibodies at 4°C for overnight under the conditions of 0.3 M NaCl and 0.2% NP-40, 30 μl protein A/G beads were added and incubated for additional 2 hr at 4°C, after extensive washing with buffer containing 0.3 M NaCl and 0.1% NP-40, remaining beads were subjected to 10% SDS-PAGE and followed by western blotting analysis with FLAG and HA antibodies to detect tagged-proteins in the inputs and IPs as described previously (Zhou et al., 2013a).

Animals and genotype analysis

The derivation of Taf7l KO mice has been previously described (Kajimura et al., 2009). All animal experiments were performed in strict accordance with the recommendations in the Guide for the Care and Use of Laboratory Animals of the National Institutes of Health. All of the animals were handled according to animal use protocols (#R007) approved by the Institutional Animal Care and Use Committee (IACUC) of the University of California, Berkeley. Mice were maintained on a standard rodent chow diet with 12 hr light and dark cycles. Taf7l KO mouse line was maintained on a C57BL/6J background. Genotyping was performed by PCR as previously described (Cheng et al., 2007).

Immunohistochemistry

For histological analysis on interscapular BAT of E18.5 embryos from WT and Taf7l KO mice, freshly-harvested mouse embryos were genotyped and the interscapular regions of embryos were transversally dissected and then fixed in 10% formaldehyde for 24 hr at 4°C; tissue was embedded in paraffin using the microwave method as described and then sectioned into 8–10 μm to mount on slides (Zhou et al., 2013b). The following immunohistochemistry by haematoxylin and eosin (H&E) staining and FABP4, UCP1, and MYHC immunostaining were performed using the method described previously (Zhou et al., 2013a).

Preparation of primary brown adipocytes and brown fat differentiation

Fresh interscapular brown adipose tissues were removed from 3-week-old euthanized WT and Taf7l KO mice and finely minced, digested with 0.25% trypsin for 30 min at 37°C, and centrifuged for 5 min at 2,000×g to get rid of debris. The pellet was resuspended in culture media before plated on gelatin coated plates. Cells were cultured at 37°C in high glucose DMEM supplemented with 20% FBS. Brown adipocyte differentiation and staining were followed the same procedure as C3H10T1/2 cells.

mRNA-seq libraries preparation and deep sequencing

Total RNA was extracted from BAT, carefully excised to get rid of surrounding tissue based on the texture and color, of 6 WT and 6 Taf7l KO mice. RNA was extracted separately for each mouse by RNeasy Plus Mini Kit (Qiagen) and then pooled for WT or Taf7l KO samples; 4 μg of each RNA pool was used to purify mRNA using oligo (dT) and subsequently converted into multiplexed mRNA-seq libraries using mRNA-Seq Trueseq Kit (Illumina, San Diego, CA). Samples were multiplexed and sequenced in one lane on an Illumina HiSeq 2000 sequencer (QB3 Vincent J Coates Genomics Sequencing Library, University of California, Berkeley, CA). 50 bp single-end reads were used for both samples; each sample produced over 30 million reads.

Digital gene expression of mRNA-seq and gene ontology analysis

Reads were mapped to the mouse transcriptome (mm10), using TopHat (Langmead et al., 2009; Trapnell et al., 2009), version v1.4.0., with default parameters. We then applied cufflinks (Trapnell et al., 2010), version v1.3.0, using the default parameters except: --max-mle-iterations 1, to estimate the digital expression levels at each transcript. Gene ontology analysis was done using DAVID Bioinformatics Resources 6.7.

Chromosome conformation capture (3C)

3C analysis was performed as previously described on WT and Taf7l KO BAT (Liu et al., 2011), which was carefully excised to get rid of all other possible tissue based on the brown color and the tissue texture. 2 mg of freshly dissected interscapular BAT from 6 WT or 6 Taf7l KO mice were minced, homogenized extensively to nearly single cells and washed, crosslinked with 1% formaldehyde for 15 min at 4°C and then quenched with 0.125 M glycine for 5 min.

Crosslinked BATs were lysed and the chromatin was digested with 8 U HaeIII (NEB) for the Cidea and Scd1 loci. Digested fragments were cleaned and subsequently ligated with 60 units T4 DNA ligase (Invitrogen) for 4 hr at 16°C. Following proteinase K digestion and decrosslinking at 65°C overnight, DNA fragments was recovered by phenol–chloroform extraction.

Control templates were generated using individual BAC clones covering Cidea or Scd1 locus (Bacpac). 10 µg of BAC DNA was digested with 20 units HaeIII and then randomly ligated with 10 units T4 DNA ligase in 50 µl volume.

3C primers were designed upstream and downstream of the core promoter site (P). Primers annealing to distal enhancers (D) corresponding to TAF7L and PPARγ binding sites on either Cidea or Scd1 were used as anchor points. 3C analysis was done by qPCR using as a primer pair the anchor point primer and one annealing to region under investigation. Each data point in WT and Taf7l KO BAT was normalized by the BAC control template and presented as interaction frequency.

Data availability

Raw and mapped sequencing reads are available from the National Center for Biotechnology Information's GEO database (http://www.ncbi.nlm.nih.gov/geo/) under accession number GSE55797. Primer sequences are listed in Supplementary file 1.

Acknowledgements

We thank PJ Wang for providing Taf7l KO mice; S Kajimura for protocols and suggestions; R Steven and D Schichness for help with immunochemistry; G Dailey, S Zheng, M Haggart, C Cattoglio, SS Teves, SE Torigoe, and FL Xie for their kind help and useful discussions. H Zhou is a research associate of the Howard Hughes Medical Institute. T Kaplan is a member of the Israeli Center of Excellence (I-CORE) for Gene Regulation in Complex Human Diseases (no. 41/11), and the Israeli Center of Excellence (I-CORE) for Chromatin and RNA in Gene Regulation (1796/12). R Tjian is an investigator of the Howard Hughes Medical Institutes.

Funding Statement

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Funding Information

This paper was supported by the following grant:

  • Howard Hughes Medical Institute (HHMI) FundRef identification ID: http://dx.doi.org/10.13039/100000011 to Haiying Zhou, Ivan Grubisic, Robert Tjian.

Additional information

Competing interests

RT: Robert Tjian is President of the Howard Hughes Medical Institute (2009-present), one of the three founding funders of eLife.

The other authors declare that no competing interests exist.

Author contributions

HZ, Conception and design, Acquisition of data, Analysis and interpretation of data, Drafting or revising the article, Contributed unpublished essential data or reagents.

BW, Conception and design, Analysis and interpretation of data, Drafting or revising the article.

RT, Conception and design, Analysis and interpretation of data, Drafting or revising the article.

IG, Acquisition of data, Analysis and interpretation of data, Drafting or revising the article.

TK, Acquisition of data, Analysis and interpretation of data, Drafting or revising the article.

Ethics

Animal experimentation: All animal experiments were performed in strict accordance with the recommendations in the Guide for the Care and Use of Laboratory Animals of the National Institutes of Health. All of the animals were handled according to animal use protocols (#R007) approved by the Institutional Animal Care and Use Committee (IACUC) of the University of California, Berkeley.

Additional files

Supplementary file 1.

Primer sequences for RT-qPCR experiments (upper panel) and 3C experiments (lower panels).

DOI: http://dx.doi.org/10.7554/eLife.02811.011

elife02811s001.tif (24.1MB, tif)
DOI: 10.7554/eLife.02811.011

Major datasets

The following dataset was generated:

H Zhou, B Wan, I Grubisic, T Kaplan, R Tjian, 2014, Taf7l Modulates Brown Adipose Tissue Formation, http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE55797, Publicly available at NCBI Gene Expression Omnibus.

Reporting standards: Standard used to collect data: The data was followed NCBI standards for uploading megadata set.

The following previously published dataset was used:

H Zhou, T Kaplan, Y Li, I Grubisic, Z Zhang, PJ Wang, MB Eisen, R Tjian, 2012, Dual Functions of TAF7L in Adipocyte Differentiation, http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE41937, Publicly available at NCBI Gene Expression Omnibus.

References

  1. Abe T, Hirasaka K, Kagawa S, Kohno S, Ochi A, Utsunomiya K, Sakai A, Ohno A, Teshima-Kondo S, Okumura Y, Oarada M, Maekawa Y, Terao J, Mills EM, Nikawa T. 2013. Cbl-b is a critical regulator of macrophage activation associated with obesity-induced insulin resistance in mice. Diabetes 62:1957–1969. doi: 10.2337/db12-0677 [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Beylkin DH, Allen DL, Leinwand LA. 2006. MyoD, Myf5, and the calcineurin pathway activate the developmental myosin heavy chain genes. Developmental Biology 294:541–553. doi: 10.1016/j.ydbio.2006.02.049 [DOI] [PubMed] [Google Scholar]
  3. Cannon B, Nedergaard J. 2004. Brown adipose tissue: function and physiological significance. Physiological Reviews 84:277–359. doi: 10.1152/physrev.00015.2003 [DOI] [PubMed] [Google Scholar]
  4. Carey AL, Kingwell BA. 2013. Brown adipose tissue in humans: therapeutic potential to combat obesity. Pharmacology & Therapeutics 140:26–33. doi: 10.1016/j.pharmthera.2013.05.009 [DOI] [PubMed] [Google Scholar]
  5. Chechi K, Nedergaard J, Richard D. 2014. Brown adipose tissue as an anti-obesity tissue in humans. Obesity Reviews 15:92–106. doi: 10.1111/obr.12116 [DOI] [PubMed] [Google Scholar]
  6. Cheng Y, Buffone MG, Kouadio M, Goodheart M, Page DC, Gerton GL, Davidson I, Wang PJ. 2007. Abnormal sperm in mice lacking the Taf7l gene. Molecular and Cellular Biology 27:2582–2589. doi: 10.1128/MCB.01722-06 [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Harms M, Seale P. 2013. Brown and beige fat: development, function and therapeutic potential. Nature Medicine 19:1252–1263. doi: 10.1038/nm.3361 [DOI] [PubMed] [Google Scholar]
  8. Kajimura S, Saito M. 2014. A new era in brown adipose tissue biology: molecular control of brown fat development and energy homeostasis. Annual Review of Physiology 76:225–249. doi: 10.1146/annurev-physiol-021113-170252 [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Kajimura S, Seale P, Kubota K, Lunsford E, Frangioni JV, Gygi SP, Spiegelman BM. 2009. Initiation of myoblast to brown fat switch by a PRDM16-C/EBP-beta transcriptional complex. Nature 460:1154–1158. doi: 10.1038/nature08262 [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Kajimura S, Seale P, Spiegelman BM. 2010. Transcriptional control of brown fat development. Cell Metabolism 11:257–262. doi: 10.1016/j.cmet.2010.03.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Langmead B, Trapnell C, Pop M, Salzberg SL. 2009. Ultrafast and memory-efficient alignment of short DNA sequences to the human genome. Genome Biology 10:R25. doi: 10.1186/gb-2009-10-3-r25 [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Liu Z, Scannell DR, Eisen MB, Tjian R. 2011. Control of embryonic stem cell lineage commitment by core promoter factor, TAF3. Cell 146:720–731. doi: 10.1016/j.cell.2011.08.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Ohno H, Shinoda K, Ohyama K, Sharp LZ, Kajimura S. 2013. EHMT1 controls brown adipose cell fate and thermogenesis through the PRDM16 complex. Nature 504:163–167. doi: 10.1038/nature12652 [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Pedersen SB, Bruun JM, Kristensen K, Richelsen B. 2001. Regulation of UCP1, UCP2, and UCP3 mRNA expression in brown adipose tissue, white adipose tissue, and skeletal muscle in rats by estrogen. Biochemical and Biophysical Research Communications 288:191–197. doi: 10.1006/bbrc.2001.5763 [DOI] [PubMed] [Google Scholar]
  15. Seale P, Bjork B, Yang W, Kajimura S, Chin S, Kuang S, Scimè A, Devarakonda S, Conroe HM, Erdjument-Bromage H, Tempst P, Rudnicki MA, Beier DR, Spiegelman BM. 2008. PRDM16 controls a brown fat/skeletal muscle switch. Nature 454:961–967. doi: 10.1038/nature07182 [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Seale P, Conroe HM, Estall J, Kajimura S, Frontini A, Ishibashi J, Cohen P, Cinti S, Spiegelman BM. 2011. Prdm16 determines the thermogenic program of subcutaneous white adipose tissue in mice. The Journal of Clinical Investigation 121:96–105. doi: 10.1172/JCI44271 [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Seale P, Lazar MA. 2009. Brown fat in humans: turning up the heat on obesity. Diabetes 58:1482–1484. doi: 10.2337/db09-0622 [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Trapnell C, Pachter L, Salzberg SL. 2009. TopHat: discovering splice junctions with RNA-Seq. Bioinformatics 25:1105–1111. doi: 10.1093/bioinformatics/btp120 [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Trapnell C, Williams BA, Pertea G, Mortazavi A, Kwan G, van Baren MJ, Salzberg SL, Wold BJ, Pachter L. 2010. Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation. Nature Biotechnology 28:511–515. doi: 10.1038/nbt.1621 [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Villanueva CJ, Vergnes L, Wang J, Drew BG, Hong C, Tu Y, Hu Y, Peng X, Xu F, Saez E, Wroblewski K, Hevener AL, Reue K, Fong LG, Young SG, Tontonoz P. 2013. Adipose subtype-selective recruitment of TLE3 or Prdm16 by PPARgamma specifies lipid storage versus thermogenic gene programs. Cell Metabolism 17:423–435. doi: 10.1016/j.cmet.2013.01.016 [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Villanueva CJ, Waki H, Godio C, Nielsen R, Chou WL, Vargas L, Wroblewski K, Schmedt C, Chao LC, Boyadjian R, Mandrup S, Hevener A, Saez E, Tontonoz P. 2011. TLE3 is a dual-function transcriptional coregulator of adipogenesis. Cell Metabolism 13:413–427. doi: 10.1016/j.cmet.2011.02.014 [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Zhou H, Kim S, Ishii S, Boyer TG. 2006. Mediator modulates Gli3-dependent Sonic hedgehog signaling. Molecular and Cellular Biology 26:8667–8682. doi: 10.1128/MCB.00443-06 [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Zhou H, Kaplan T, Li Y, Grubisic I, Zhang Z, Wang PJ, Eisen MB, Tjian R. 2013a. Dual functions of TAF7L in adipocyte differentiation. eLife 2:e00170. doi: 10.7554/eLife.00170 [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Zhou H, Grubisic I, Zheng K, He Y, Wang PJ, Kaplan T, Tjian R. 2013b. Taf7l cooperates with Trf2 to regulate spermiogenesis. Proceedings of the National Academy of Sciences of the United States of America 110:16886–16891. doi: 10.1073/pnas.1317034110 [DOI] [PMC free article] [PubMed] [Google Scholar]
eLife. 2014 May 29;3:e02811. doi: 10.7554/eLife.02811.012

Decision letter

Editor: James T Kadonaga1

eLife posts the editorial decision letter and author response on a selection of the published articles (subject to the approval of the authors). An edited version of the letter sent to the authors after peer review is shown, indicating the substantive concerns or comments; minor concerns are not usually shown. Reviewers have the opportunity to discuss the decision before the letter is sent (see review process). Similarly, the author response typically shows only responses to the major concerns raised by the reviewers.

Thank you for sending your work entitled “TAF7L Modulates Brown Adipose Tissue Formation” for consideration at eLife. Your article has been favorably evaluated by Fiona Watt (Senior editor) and 3 reviewers, one of whom, Jim Kadonaga, is a member of our Board of Reviewing Editors.

The Reviewing editor and the other reviewers discussed their comments before we reached this decision, and the Reviewing editor has assembled the following comments to help you prepare a revised submission.

The manuscript “TAF7L Modulates Brown Adipose Tissue Formation” by Zhou et al. provides new evidence for the role of TAF7L in brown fat development. Brown and white fat are now appreciated to come from different developmental lineages, and the transcriptional control of their development is an area of active research. The work presented in this paper suggests an important role for a new molecular player, TAF7L. While the data shown are quite exciting, additional experiments, particularly BAT-specific studies, should be performed to support the conclusions of this manuscript.

Major points:

1) In Figure 3, the authors used 10T1/2 cells to study the mechanism whereby TAF7L modulates brown fat development. TAF7L was overexpressed, and the complex containing this protein was purified and shown to contain PPARg. In a previous paper, the authors had observed that these two proteins interact in 293T cells. Since PPARg is required for white and brown adipocyte development, it is not evident how this interaction specifically modulates brown adipogenesis. To address this point, the authors performed ChIP-Seq and found that TAF7L and PPARg co-occupy overlapping regions of PRDM16 and Ucp1 in post-differentiated cells. To clarify this line of investigation, the authors should address the following questions.

a) What other proteins were in the TAF7L complex? Were there any brown-fat enriched proteins that TAF7L interacts with such as PRDM16, PGC1a, or EHMT1?

b) Might TAF7L modulate PPARg selectivity for PRDM16 (and brown fat) vs. TLE3 (and white fat)?

2) In their previous paper (Zhou et al., eLife, 2013), the authors showed that white fat development (in vitro and in vivo) is disrupted in the absence of TAF7L. This finding argues for a broader role of TAF7L in adipogenesis (or perhaps even more broadly in development). As highlighted in point 1, the authors should address how TAF7L is specifically involved in brown fat development. In other words, the role of TAF7L in the browning of WAT should be addressed.

3) Photographs of whole BAT from young and adult WT and TAF7L KO mice should be provided to see the gross morphology of BAT.

4) Cold exposure experiments should be performed in TAF7L KO mice to understand the physiological consequence of lack of TAF7L in BAT.

5) The mechanism of how TAF7L suppresses muscle-specific genes is unclear. This point should be further investigated or minimally speculated on and discussed.

6) Differentiation assays using primary brown adipocytes (SVF differentiated to adipocytes) from WT and TAF7L KO mice should be performed.

eLife. 2014 May 29;3:e02811. doi: 10.7554/eLife.02811.013

Author response


We thank the reviewers for a thoughtful and comprehensive review of our manuscript “TAF7L Modulates Brown Adipose Tissue Formation”, which we here, resubmit as a Short report to eLife. As a significant advancement of our original finding that TAF7L ablation disrupts white fat tissue development (Zhou et al., eLife, 2013), we report that TAF7L forms a key component of an alternative Fat-TFIID complex that works in conjunction with PPARγ via a DNA looping mechanism to modulate brown adipose tissue (BAT) formation.

A note from the editors appended below outlines the critical changes to our manuscript that were recommended by the BRE and reviewers:

- Two points (Major Points 1a, 3) involve data that the authors probably already have.

- Several issues (Major Points 1b, 2, 5) could be addressed simply by discussing them in the text.

- Major Points 4 and 6 would make it a better paper, but it could be argued that such experiments are beyond the scope of this study. It's up to the authors whether they want to strengthen this work, particularly with regard to brown fat development and physiology.

We appreciate these many useful suggestions from reviewers, which has further strengthened and broadened this study. In response to the reviewers’ comments, we have now included new data to address major points 1a, 3, and 6. Below, we also address points 1b, 2, 4 and 5, which includes suggestions that we believe are beyond the scope of this study.

Major points:

1) In Figure 3, the authors used 10T1/2 cells to study the mechanism whereby TAF7L modulates brown fat development. TAF7L was overexpressed, and the complex containing this protein was purified and shown to contain PPARg. In a previous paper, the authors had observed that these two proteins interact in 293T cells. Since PPARg is required for white and brown adipocyte development, it is not evident how this interaction specifically modulates brown adipogenesis. To address this point, the authors performed ChIP-Seq and found that TAF7L and PPARg co-occupy overlapping regions of PRDM16 and Ucp1 in post-differentiated cells. To clarify this line of investigation, the authors should address the following questions.

a) What other proteins were in the TAF7L complex? Were there any brown-fat enriched proteins that TAF7L interacts with such as PRDM16, PGC1a, or EHMT1?

Although we made multiple attempts, we were unable to recover sufficient levels of protein from the IP experiments using adipocytes to perform unambiguous protein identification. However, we did find that TAF7L can interact with PRDM16 and be coIP'd when they are expressed in 293T cells. We have now included this new data in Figure 3C.

b) Might TAF7L modulate PPARg selectivity for PRDM16 (and brown fat) vs. TLE3 (and white fat)?

We have not tested the association between TLE3 with TAF7L in WAT, but we did find that TAF7L can associate with PRDM16 when ectopically expressed in 293T cells. We have now revised the text to read: Although we failed to detect PRDM16 in these affinity purification experiments, we did find that ectopically expressed TAF7L and PRDM16 associate with each other in 293T cells (Figure 3C). These data suggest that TAF7L-containing Fat-TFIID has gained the ability to bind endogenous PPARγ we speculate which might facilitate its association with distinct cofactors such as PRDM16 in BAT or TLE3 in WAT to differentially regulate brown and white adipocyte formation.

2) In their previous paper (Zhou et al., eLife, 2013), the authors showed that white fat development (in vitro and in vivo) is disrupted in the absence of TAF7L. This finding argues for a broader role of TAF7L in adipogenesis (or perhaps even more broadly in development). As highlighted in point 1, the authors should address how TAF7L is specifically involved in brown fat development. In other words, the role of TAF7L in the browning of WAT should be addressed.

We agree that this is a reasonable scenario since Taf7l KO mice showed changes consistent with the browning of WAT and changes in the expression of WAT genes in Taf7l KO mice compared to WT mice. However, we believe a thorough and rigorous test of this hypothesis is well beyond the scope of this current study. We are particularly concerned that fully dissecting the browning of WAT will require a careful analysis of beige cells which are likely not the same as canonical BAT.

3) Photographs of whole BAT from young and adult WT and TAF7L KO mice should be provided to see the gross morphology of BAT.

We have now included photographs of whole BAT from one-month and four-month old WT and TAF7L KO mice in Figure 1–figure supplement 1C.

4) Cold exposure experiments should be performed in TAF7L KO mice to understand the physiological consequence of lack of TAF7L in BAT.

In this Short report we chose to focus primarily on the role of TAF7L with respect to BAT developmental. In addition, our preliminary physiological studies showed mixed phenotypes because TAF7L KO resulted in differential changes in WAT versus BAT development. We felt that it would be least ambiguous to study the physiological consequences of environmental parameters such as cold exposure using BAT or WAT-specific TAF7L KO mice in future studies.

5) The mechanism of how TAF7L suppresses muscle-specific genes is unclear. This point should be further investigated or minimally speculated on and discussed.

Although the mechanisms of how TAF7L suppresses muscle-specific genes is unclear at this point, we speculate that it might be an indirect effect, since our ChIP-seq data showed that TAF7L is not targeted to muscle gene promoters. We therefore favor the idea that a de-repression of muscle-genes might result from a reduction in certain fat genes caused by loss of TAF7L, which we establish here to be functioning as an activator of fat cell lineages. We have now included this speculation in the revised text.

6) Differentiation assays using primary brown adipocytes (SVF differentiated to adipocytes) from WT and TAF7L KO mice should be performed.

We have now included this new data in a revised Figure 2–figure supplement 1.

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    Supplementary file 1.

    Primer sequences for RT-qPCR experiments (upper panel) and 3C experiments (lower panels).

    DOI: http://dx.doi.org/10.7554/eLife.02811.011

    elife02811s001.tif (24.1MB, tif)
    DOI: 10.7554/eLife.02811.011

    Data Availability Statement

    Raw and mapped sequencing reads are available from the National Center for Biotechnology Information's GEO database (http://www.ncbi.nlm.nih.gov/geo/) under accession number GSE55797. Primer sequences are listed in Supplementary file 1.


    Articles from eLife are provided here courtesy of eLife Sciences Publications, Ltd

    RESOURCES