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Long non-coding RNA HOTAIR regulates cytoskeleton remodeling and lipid storage capacity during adipogenesis


The long non-coding RNA HOTAIR is the most differentially expressed gene between upper- and lower-body adipose tissue, yet its functional significance in adipogenesis is unclear. We report that HOTAIR expression is transiently induced during early adipogenic differentiation of gluteofemoral adipose progenitors and repressed in mature adipocytes. Upon adipogenic commitment, HOTAIR regulates protein synthesis pathways and cytoskeleton remodeling with a later impact on mature adipocyte lipid storage capacity. Our results support novel and important functions of HOTAIR in the physiological context of adipogenesis.


The distribution of adipose depots in the human body is of high significance for metabolic health1. The most differentially expressed gene between upper- and lower-body adipose tissue encodes the gluteofemoral-specific long non-coding RNA (lncRNA) HOTAIR (HOX Transcript Antisense RNA)2,3, within the HOXC locus. HOTAIR can be found in the nucleus, where it can bind chromatin and act as a scaffold for chromatin-modifying complexes4, and in the cytoplasm where it can promote ubiquitin-mediated proteolysis5 or function as a microRNA sponge6. The function of HOTAIR in adipose tissue, however, remains elusive. HOTAIR overexpression has been shown to promote adipogenesis in abdominal adipose stem cells (ASCs)3 and to prevent adipose differentiation of bone marrow mesenchymal stem cells7. In contrast to its effect in cancer cells8, HOTAIR overexpression does not affect ASC proliferation3,7, suggesting distinct mechanisms of action in adipose progenitors.

Besides the well-characterized adipogenic transcriptional cascade9, adipogenesis also entails major translational regulation10 and remodeling of the cytoskeleton11. Morphological changes from a fibroblast-like to a round, lipid-filled cell involve the disruption of F-actin stress fibers and the formation of a cortical actin network beneath the plasma membrane12,13. In mature adipocytes, lipid overloading induces a drastic remodeling of the actin cytoskeleton14 and affects the control of ribosomal protein expression downstream of insulin signaling15. Although recent evidence points to a functional link between translational regulation and cytoskeleton remodeling16,17, the molecular determinants coordinating these processes during early adipogenesis remain to be elucidated.

Here, we identify HOTAIR as a regulator of translation and of cytoskeleton reorganization during early adipogenesis in human ASCs, and provide evidence of a novel role of HOTAIR as a determinant of adipocyte lipid storage capacity.


HOTAIR is upregulated during early adipogenesis

We first determined HOTAIR expression profile during adipogenic differentiation of gluteofemoral and abdominal ASCs (respectively G-ASCs and A-ASCs) from two donors, and in mature adipocytes isolated from the same tissues. ASCs from both donors show similar differentiation efficiency, based on induction of expression of the master adipogenic regulator PPARG2 and of its targets (Fig. 1a; see supplementary Fig. S1a), and we confirm that HOTAIR expression is higher in G-ASCs compared to A-ASCs along the 9-day differentiation time course (Fig. 1a). Remarkably, HOTAIR expression is strongest in confluent G-ASCs (D0) and until differentiation day 3 (D3); however in contrast to previous findings, we find that adipogenesis elicits marked HOTAIR downregulation and accordingly, expression is lower in mature adipocytes than in ASCs isolated from the same tissue (Fig. 1a,b; see supplementary Fig. S1b).

Figure 1
figure 1

HOTAIR is upregulated during early adipogenesis. (a) Relative expression in G-ASCs and A-ASCs of PPARG2, normalized tomatched mature adipocytes, and of HOTAIR, normalized to proliferative G-ASCs (mean fold difference ± SD; *p < 0.05, **p < 0.005, ***p < 0.001, mixed effect analysis with Šídák's multiple comparisons test (G-ASC vs A-ASC) or Tukey's multiple comparisons test (time-course); ASCs n ≥ 3; adipocytes n ≥ 2). (b) Relative HOTAIR expression in proliferative ASCs vs. mature adipocytes from the same tissue (mean fold difference ± SD; ***p < 0.001, two-tailed paired t test; n = 5 adipose tissue depots from 3 independent donors). (c) RT-PCR analysis of HOTAIR expression in a control (SCR) and two stable HOTAIR KD G-ASC lines (shHOTAIR1 and 2) (mean fold difference ± SD; *p < 0.05, **p < 0.005, two-way ANOVA with Dunnett's multiple comparisons test; n ≥ 3). (d) Differential expression of the top 6000 highly expressed genes between SCR and two shHOTAIR G-ASC lines (adjusted p-values < 0.05, limma, n = 3). (e) Overrepresentation analysis of downregulated (red) and upregulated (blue) genes from (d) using GO, Wikipathways, Reactome and Hallmark gene sets from MSigDb (adjusted p-values < 1.2 × 10−6). The Gene Ratio is the fraction of differentially expressed genes in each gene set.

LncRNAs are often involved in regulating neighboring protein-coding genes18; however, we show by RNA-seq that in differentiating G-ASCs, HOTAIR expression does not correlate with that of neighboring HOXC genes (see supplementary Fig. S2a, b). To identify genes co-regulated with HOTAIR, we performed clustering of differentially expressed genes across time in G-ASCs (α < 0.01 between at least two consecutive time points) (see supplementary Fig. S2c). Enriched molecular function GO terms for the gene cluster containing HOTAIR relate to "extracellular matrix structural constituent” (GO:0005201) and “cytoskeletal binding protein” (GO:0008092) (see supplementary Fig. S2d).

To get insight into HOTAIR function, we stably silenced HOTAIR in G-ASCs using two small hairpin (sh)RNAs, both of which prevented HOTAIR upregulation at D0 and D1 (Fig. 1c, see supplementary Fig. S2e). Transcriptomic analysis of HOTAIR-silenced D0 G-ASCs reveals 187 significantly downregulated and 261 upregulated genes (Fig. 1d, see supplementary Fig. S2e and Table S5). Functional analysis shows that HOTAIR depletion results in the downregulation of translation-linked pathways and upregulation of actin cytoskeleton-related pathways, the amplitude of the effect being consistent with the knockdown efficiency (Fig. 1e, see supplementary Fig. S2f, Tables S6 and S7). Of note, genes upregulated in shHOTAIR cell lines are not enriched for PRC2 or HOTAIR targets (see supplementary Fig.S2g, h and Table S7), indicating a PRC2-independent function of HOTAIR in G-ASCs. Together, these data suggest that HOTAIR is involved in the regulation of protein synthesis and actin cytoskeleton processes during early adipogenesis.

HOTAIR knockdown alters translation and nucleoli morphology in proliferating G-ASCs

Because the translation machinery is strongly downregulated upon cell cycle arrest and during early adipogenesis10, we investigated the effect of HOTAIR KD on translation in proliferating G-ASCs. In basal culture conditions, shHOTAIR G-ASCs present with normal cell morphology, and proliferation rates are unchanged (see supplementary Fig. S3a, b, c). Using a SUnSET assay, we find that while translation levels are unaffected in basal culture conditions, resumption of protein synthesis after a fasting and refeeding challenge is significantly impaired in shHOTAIR G-ASCs (Fig. 2a, b). This coincides with a decrease in rDNA transcription in the refed state (Fig. 2c), a significant decrease in nucleolar volumes (see supplementary Fig. S3d–f), and a trend toward reduced nucleoli number (see supplementary Fig. S3g). In addition, phosphorylated P70S6K, a major regulator of protein synthesis in response to growth factors and nutritional cues19, is significantly decreased upon refeeding (Fig. 2d, e), consistent with the inability of shHOTAIR G-ASCs to resume translation. Importantly, strong but transient downregulation of HOTAIR in G-ASCs using two distinct siRNAs (Fig. 2f) leads to a marked nucleoli remodeling, characterized by a morphological change and the redistribution of Nucleolin to the nucleolar periphery and into the nucleoplasm (Fig. 2g), and by a reduction of nucleoli number (Fig. 2h), altogether indicating nucleolar stress. We conclude that HOTAIR functions as a regulator of protein synthesis in G-ASCs.

Figure 2
figure 2

HOTAIR KD impairs refeeding-induced protein synthesis in proliferating G-ASCs. (a) SUnSET analysis of protein synthesis rates in basal, 24-h fasting (HBSS, 0.2% FFA-free BSA) and 24-h refeeding conditions in SCR, shHOTAIR1 and shHOTAIR2 G-ASCs (see Fig. S5 for original blots). (b) SUnSET quantification (*p < 0.05, ***p < 0.001, two-way ANOVA with Dunnett's multiple comparisons test;; n = 3). (c) RT-qPCR analysis of pre-rRNA (ETS1, 36S), 18S and 5S rRNA after 24-h refeeding (*p < 0.05, ***p < 0.001, two-way ANOVA with Dunnett's multiple comparisons test;; n = 3). (d) Western blot analysis of phospho-Thr389 P70S6K, total P70S6K, RAPTOR and γ-Tubulin protein levels after 24-h refeeding (see Fig. S6for original blots). (e) Quantification of phospho-Thr389 P70S6K/total P70S6K and RAPTOR/γ-Tubulin (*p < 0.05, two-tailed paired T test, n = 3). (f) RT-qPCR validation of transient HOTAIR KD in proliferating G-ASC (mean ± SD; *** p < 0.001, ANOVA with Holm-Sidak's multiple comparisons test; n = 7). (g) Immunostaining of Nucleolin in siSCR- and siHOTAIR1- and 2-transfected G-ASCs. Nuclei are stained with Hoechst. Scale bar: 10 µm. (h) Number of nucleoli per cell quantified from Nucleolin immunostaining in siSCR- and siHOTAIR1- and 2-transfected G-ASCs (mean ± SD; *p < 0.05, ***p < 0.001, two-way ANOVA with Dunnett's multiple comparisons test; n = 4 independent transfections; > 20 cells measured per experiment).

HOTAIR KD prevents cytoskeleton remodeling during adipogenesis

Cytoskeleton remodeling is a key event in the morphological transition from ASCs to mature adipocytes11,12,17, and our transcriptomic analysis points to a deregulation of actin dynamics in ASCs knocked-down for HOTAIR (see Fig. 1e). In agreement, HOTAIR KD results in a disorganized F-actin network at D0, measured by a reduction in the orientation coherence of actin filaments (Fig. 3a, b). Upon differentiation (D9), we observe the expected reorganization of the F-actin network in control scrambled shRNA G-ASCs, while actin stress fibers persist in ASCs knocked-down for HOTAIR (Fig. 3c). This concurs with the overexpression of the α smooth muscle actin isoform (αSMA; encoded by ACTA2) in differentiating HOTAIR knocked-down ASCs, both at the mRNA and at protein levels (Fig. 3d–f). Thus, downregulation of HOTAIR expression during early adipogenesis impedes cytoskeleton remodeling, resulting in a persistent F-actin network at differentiation endpoint.

Figure 3
figure 3

HOTAIR KD prevents cytoskeletal remodeling during adipogenesis.( a) Phalloidin staining of F-actin in D0 SCR and shHOTAIR G-ASCs. Nuclei are stained with Hoechst. Scale bar: 10 µm. (b) Quantification of coherence in F-actin fibers alignment in D0 SCR and shHOTAIR G-ASCs (***p < 0.0001, two-way ANOVA with Dunnett's multiple comparisons test; n = 3 experiments, with ≥ 4 fields measured per experiment, 5 measurements per field). (c) Phalloidin staining of F-actin (green) and immunostaining of PERILIPIN1 (magenta) in differentiated (D9) SCR and shHOTAIR G-ASCs. Nuclei are stained with Hoechst. Scale bar: 10 µm. (d) Relative expression of ACTA2 in differentiating scrambled control (SCR) and shHOTAIR G-ASCs, normalized to SCR D0 (mean fold difference ± SD; *p < 0.05, **p < 0.005, two-way ANOVA with Dunnett's multiple comparisons test; n ≥ 3). (e) Western blot analysis (see Fig. S7for original blots) and (f) quantification of αSMA protein levels in differentiating SCR and shHOTAIR G-ASCs (mean fold difference ± SD; *p < 0.05, two-way ANOVA with Tukey's multiple comparisons test; n = 3). γ-Tubulin is shown as a loading control.

HOTAIR KD results in impaired adipocyte lipid storage

Actin cytoskeleton re-organization is required for both adipose differentiation and for the expansion of mature adipocyte lipid storage capacity12,13,14. In agreement, the defective cytoskeleton dynamics in shHOTAIR G-ASCs we observed above is associated with an overall decrease in lipid content at differentiation endpoint (Fig. 4a) and with significantly smaller lipid droplets (Fig. 4b, c). However, expression of the two master regulators of adipogenesis PPARG2 and CEBPA (Fig. 4d), and their target FABP4 protein (Fig. 4e) is unaffected by HOTAIR KD. Thus, lipid accumulation or storage, rather than the adipogenic differentiation program per se, are defective after attenuation of HOTAIR expression. Accordingly, expression of SREBF1 and CHREBPb, transcription factors mediating de novo lipogenesis gene induction, is significantly reduced by HOTAIR KD (Fig. 4d). Further, HOTAIR KD leads to reduced gene expression of key regulators of fatty acid availability (LPL), de novo fatty acid synthesis (ACLY, ACC), and triglyceride storage (PLIN1) (Fig. 4f, e), and to a blunted lipolytic response to isoproterenol, reflecting the global defect in lipid accumulation (Fig. 4g). Altogether, these results establish that HOTAIR functions as an early regulator of adipogenesis with determining effects on mature adipocyte lipid storage capacity.

Figure 4
figure 4

HOTAIR KD impairs lipid storage in mature adipocytes.( a) Oil red O staining (20X) of differentiated (D9) SCR and shHOTAIR G-ASCs. LipidL droplet area analysis from PERILIPIN immunostainings of differentiated (D9) SCR and HOTAIR KD G-ASCs presented as (b) individual data scatter plot and mean (***p < 0.0001, two-way ANOVA with Dunnett's multiple comparisons test;; n = 3 experiments, with ≥ 3 fields measured per experiment) and (c) distribution frequency. (d) RT-qPCR analysis of adipogenic transcription factor gene expression at D9 (mean fold difference ± SD; *p < 0.05, **p < 0.005, ***p < 0.001, two-way ANOVA with Dunnett's multiple comparisons test; n = 4). (e) Western blot analysis of fatty acid synthase (FAS), PERILIPIN1, and FABP4 in differentiating SCR and shHOTAIR G-ASCs (representative blot from n = 3; see Fig. SS7for original blots). γ-Tubulin is shown as a loading control. (f) RT-qPCR analysis of glucose- and lipid uptake-related genes, de novo lipogenesis genes and mature adipocyte markers in differentiated (D9) SCR and shHOTAIR G-ASCs (mean fold difference ± SD; *p < 0.05, **p < 0.005, two-way ANOVA with Dunnett's multiple comparisons test; n = 4). (g) Fold induction of glycerol release in response to 100 nM isoproterenol stimulation for 2 h in differentiated (D9) SCR and shHOTAIR G-ASCs (mean fold difference ± SD; *p < 0.05, **p < 0.005, two-way ANOVA with Dunnett's multiple comparisons test; n = 3).


We establish that HOTAIR expression is induced in the early phase of adipogenesis but strongly downregulated in mature adipocytes, and that this transient upregulation participates in the regulation of translation and of cytoskeletal remodeling during adipogenic commitment. Importantly, we find that deregulation of these processes later results in a reduced adipocyte lipid storage capacity.

LncRNA molecular function not only depends on their expression pattern and levels but is also determined by their subcellular localization20. LncRNA HOTAIR can bind DNA and act as an epigenetic scaffold in the nucleus, and interact with proteins and other RNAs in the cytoplasm. It is conceivable that siRNA-mediated HOTAIR silencing differentially affects distinct pools of HOTAIR, due to variation in their location, binding partners, or stability21. Surprisingly, the transcripts we find deregulated upon HOTAIR silencing are not enriched for PRC2 target genes, a well-described HOTAIR partner in the nucleus22. Instead, we describe a defective cytoskeletal remodeling during early adipogenesis, in line with the recently reported deregulation of the Rho/ROCK-mediated remodeling of actin cytoskeleton in abdominal ASCs upon HOTAIR overexpression23. Such modulation of Rho GTPases signaling, plausibly through HOTAIR cytoplasmic miRNA-sponge function24, could account for the downstream transcriptomic defects observed upon HOTAIR silencing.

HOTAIR knockdown in proliferating ASCs affects nucleolus morphology and results in an inability to resume translation upon nutrient availability, which correlates with a decrease in mTORC1 signaling. Regulation of mTOR signaling by HOTAIR has been reported25,26, although the mechanistic basis for this regulation remains unknown. Interestingly, mTORC1 activation by nutrients is supported by its association with focal adhesions and with the actin cytoskeleton27, suggesting that cytoskeletal alterations might underlie the mTORC1 signaling defect we detect after attenuation of HOTAIR expression in ASCs.

An active cytoskeleton remodeling during adipogenesis is necessary to regulate adipocyte formation and accommodate lipid droplet expansion12,13,14. We find that preventing HOTAIR transient upregulation upon adipogenic commitment results in a defective actin cytoskeleton reorganization. This phenotype persists at later differentiation stages and is accompanied by a drastic reduction of lipid droplet size, and altered de novo lipogenesis downstream of SREBP1 and ChREBPβ. While SREBF1 downregulation could result from compromised mTOR signaling19,28, altered dynamics of the actin cytoskeleton and increased mechanical constraints could also directly account for a reduction of SREBP1 activity29.

Adipose tissue depots differ by their mechanisms of expansion, with lower-body adipose tissue having the capacity to rapidly increase in mass through ASC differentiation, rather than adipocyte hypertrophy30. ASCs commitment towards the adipogenic lineage is controlled by both the niche and intrinsic cellular mechanical properties31. Therefore, depot-specific remodeling mechanisms might be linked to distinct macro-architecture32 and cellular structure33,34. In gluteofemoral ASCs, HOTAIR-mediated regulation of the cytoskeletal tensional state might preserve ASC differentiation capacity, thereby promoting healthy lower-body adipose tissue expansion.

HOTAIR downregulation in ASCs results in the downregulation of translation-related genes, and in the upregulation of cytoskeletal genes, a phenotype that strikingly mirrors that of Zc3h10 silenced preadipocytes17. In both models, deregulation of these coordinated cellular processes upon adipogenic commitment leads to an altered lipid storage capacity in differentiated adipocytes. Deregulation of the translation machinery and of the cytoskeleton occurs in both lipoatrophy12,35 and obesity14,15, highlighting the importance of these processes in the pathophysiology of adipose tissue.


Primary cells isolation

This study was approved by and conducted in agreement with the guidelines and regulations of the Regional Committee for Research Ethics for Southern Norway. ASCs were isolated from liposuction material from subcutaneous gluteal or abdominal adipose tissue from five healthy women (age 28–50; BMI 22–27 kg/m2) after informed consent was given. After washing in Hank’s balanced salt solution (HBSS), tissues were dissociated for 50 min at 37 °C with 1% collagenase (Worthington #LS004204). Adipocytes were separated from stromal vascular (SV) cells after sedimentation at 300 × g for 10 min and lysed in TRIzol (Invitrogen) before RNA isolation. ASCs were further selected by differential plating.

Cell culture and differentiation

ASCs were cultured in DMEM/F12 (17.5 mM glucose) with 10% fetal calf serum and 20 ng/ml basic fibroblast growth factor (Pro). Upon confluency, growth factor was removed and cells were cultured for 72 h before induction of differentiation (D0). For adipose differentiation, ASCs were induced with a cocktail of 0.5 µM 1-methyl-3 isobutyl xanthine, 1 µM dexamethasone, 10 µg/ ml insulin and 200 µM indomethacin. Differentiation media was renewed every 3 days, and samples harvested 1, 3, and 9 days after induction. Cells were stained with Oil Red-O on D9. All differentiation experiments were done in at least three biological replicates between passage 4 and 9.

HOTAIR knockdown

For transient HOTAIR knockdown (KD), gluteofemoral ASCs were electroporated with 30 nM of one of the two siRNAs (siHOTAIR 1: N272221 or siHOTAIR 2: N272230; Ambion). Lonza Nucleofector device was used with a human MSC nucleofection kit (VVPE-1001; Lonza) according to manufacturer instructions. After electroporation, cells were cultured for 72 h before harvesting RNA. Stable HOTAIR KD was achieved by expression of two shRNAs (Table S1) cloned into a pLV-hU6-EF1a-bsd vector (Biosettia). Second generation lentiviral packaging system (plasmids psPAX2 #12,260 and pCMV-VSV-G #8454; Addgene) was used to produce virus in LentiX cells (632,180; Takara Bio). Media containing viral particles was filtered with a 0.45 µm filter and equal volumes of this media were used to infect ASC together with 8 µg/ml Polybrene (TR-1003-G, Merck). Infected cells were selected for 7 days in 10 µg/ml Blasticidin (ant-bl-05, Invivogen).

Gene expression

RNA was isolated using RNeasy kit (QIAGEN) and 1 µg was used for cDNA synthesis using High-Capacity cDNA Reverse Transcription Kit (ThermoFisher). RT-PCR was done using IQ SYBR green (Bio-Rad Laboratories) with SF3A1 as a reference gene. PCR conditions were 95 °C for 3 min and 40 cycles of 95 °C for 30 s, 60 °C for 30 s, and 72 °C for 20 s followed by a melting curve. PCR primers are listed in Table S2.

Protein expression

Proteins were resolved by gradient 4–20% SDS–PAGE, transferred onto Immobilon-FL (Millipore) or nitrocellulosis 0.45 μm (Biorad) membranes and blocked with Odyssey blocking buffer (LI-COR). Membranes were cut horizontally to allow for multiple parallel hybridizations. Membranes were incubated with antibodies overnight at 4 °C (Table S3). Proteins were visualized using IRDye-800-, IRDye-680-, or HRP-coupled secondary antibodies. Bands were quantified by densitometry (Image Lab; BioRad).

RNA sequencing analysis

Paired-end Illumina RNA sequencing (RNA-seq) was done in biological triplicates for 2 independent donors. Reads were filtered with fastp, aligned to the hg38 genome (ensembl v95 annotation) with hisat2, counted using featureCounts (–fraction -M), and differential gene expression was analyzed using limma36 (Table S4). Genes differentially expressed between SCR and both shHOTAIR G-ASC lines with a FDR adjusted p-value < 0.05 are shown in Table S5. Differentially expressed genes with high average expression (within the top 6000 genes) were tested for overrepresentation against GO, KEGG, Wikipathways, Reactome and Hallmark gene sets from MSigDb and terms with a FDR adjusted p-value < 0.01 are presented in Tables S6 and S7. DPGP37 was used to cluster genes with differential expression (FDR adjusted p-value < 0.01) across adipogenesis in native G-ASCs (Fig. S2c).

Lipolysis and SUnSET assays

To assess lipolysis, G-ASCs on D9 were serum-deprived overnight. Glycerol release in response to 100 nM isoproterenol was measured in the medium (GY105; Randox) and normalized to well protein content. SUnSET assay was done by labeling newly synthesized proteins with 1 µM Puromycin for 1 h followed by Western blotting using anti-Puromycin antibodies (Table S3).


For immunofluorescence, cells were fixed in 4% paraformaldehyde, permeabilized in PBS/0.1% Triton X-100/0.01% Tween 20/2% BSA, incubated with relevant antibodies and stains (Table S3) and mounted (DAKO S3023, Agilent). Fluorescence images were taken on a Dragonfly microscope (Oxford Instruments; 60 × 1.4 NA objective; 4-μm stack with 0.3-μm steps).

Image analysis

Nucleolar volumes and numbers were measured using Nemo software with the nucleolin channel used as a nucleolar marker. The number of nucleoli was corrected manually in the transient KD analysis due to major redistribution of nucleolin to the nucleoplasm preventing correct segmentation of nucleoli in some cases. Morphological Segmentation plugin from MorphoLibJ collection of plugins in ImageJ was used to define lipid droplets from perilipin-1 immunostaining, “border object” and connectivity of 8 settings were used ( Lipid droplet area was then measured with the “Analyse particles” function with a threshold on circularity and size. Actin cytoskeleton coherence was measured from phalloidin staining with the OrientationJ plugin ( Cell size and confluency were measured from phase-contrast images with Morphological Segmentation and PHANTAST plugins. Raw unmodified images were used for all the analyses except for phase-contrast images which were adjusted for contrast and Gaussian blur was used to enhance the segmentation quality.

Data availability

RNA-seq data are available from Gene Expression Omnibus (GEO) accession GSE176020.


  1. Karpe, F. & Pinnick, K. E. Biology of upper-body and lower-body adipose tissue–link to whole-body phenotypes. Nat. Rev. Endocrinol. 11, 90–100 (2015).

    CAS  Article  Google Scholar 

  2. Pinnick, K. E. et al. Distinct developmental profile of lower-body adipose tissue defines resistance against obesity-associated metabolic complications. Diabetes 63, 3785–3797 (2014).

    CAS  Article  Google Scholar 

  3. Divoux, A. et al. Identification of a novel lncRNA in gluteal adipose tissue and evidence for its positive effect on preadipocyte differentiation. Obesity 22, 1781–1785 (2014).

    CAS  Article  Google Scholar 

  4. Tsai, M.-C. et al. Long noncoding RNA as modular scaffold of histone modification complexes. Science 329, 689–693 (2010).

    ADS  CAS  Article  Google Scholar 

  5. Yoon, J.-H. et al. Scaffold function of long non-coding RNA HOTAIR in protein ubiquitination. Nat. Commun. 4, 2939 (2013).

    ADS  Article  Google Scholar 

  6. Xu, F. & Zhang, J. Long non-coding RNA HOTAIR functions as miRNA sponge to promote the epithelial to mesenchymal transition in esophageal cancer. Biomed. Pharmacother. 90, 888–896 (2017).

    CAS  Article  Google Scholar 

  7. Kalwa, M. et al. The lncRNA HOTAIR impacts on mesenchymal stem cells via triple helix formation. Nucleic Acids Res. 44, 10631–10643 (2016).

    CAS  Article  Google Scholar 

  8. Ding, W., Ren, J., Ren, H. & Wang, D. Long noncoding RNA HOTAIR modulates MiR-206-mediated Bcl-w signaling to facilitate cell proliferation in breast cancer. Sci. Rep. 7, 17261 (2017).

    ADS  Article  Google Scholar 

  9. Rosen, E. D., Walkey, C. J., Puigserver, P. & Spiegelman, B. M. Transcriptional regulation of adipogenesis. Genes Dev. 14, 1293–1307 (2000).

    CAS  Article  Google Scholar 

  10. Marcon, B. H. et al. Downregulation of the protein synthesis machinery is a major regulatory event during early adipogenic differentiation of human adipose-derived stromal cells. Stem Cell Res. 25, 191–201 (2017).

    CAS  Article  Google Scholar 

  11. Spiegelman, B. M. & Farmer, S. R. Decreases in tubulin and actin gene expression prior to morphological differentiation of 3T3 adipocytes. Cell 29, 53–60 (1982).

    CAS  Article  Google Scholar 

  12. Yang, W. et al. BSCL2/seipin regulates adipogenesis through actin cytoskeleton remodelling. Hum. Mol. Genet. 23, 502–513 (2014).

    CAS  Article  Google Scholar 

  13. Nobusue, H. et al. Regulation of MKL1 via actin cytoskeleton dynamics drives adipocyte differentiation. Nat. Commun. 5, 1–12 (2014).

    Article  Google Scholar 

  14. Hansson, B. et al. Adipose cell size changes are associated with a drastic actin remodeling. Sci. Rep. 9, 12941 (2019).

    ADS  Article  Google Scholar 

  15. Mileti, E. et al. Human white adipose tissue displays selective insulin resistance in the obese state. Diabetes 70, 1486–1497 (2021).

    CAS  Article  Google Scholar 

  16. Keen, A. N. et al. Eukaryotic initiation factor 6 regulates mechanical responses in endothelial cells. J. Cell Biol. (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  17. Audano, M. et al. Zc3h10 regulates adipogenesis by controlling translation and F-actin/mitochondria interaction. J. Cell Biol. (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  18. Vance, K. W. & Ponting, C. P. Transcriptional regulatory functions of nuclear long noncoding RNAs. Trends Genet. 30, 348–355 (2014).

    CAS  Article  Google Scholar 

  19. Chakrabarti, P., English, T., Shi, J., Smas, C. M. & Kandror, K. V. Mammalian target of rapamycin complex 1 suppresses lipolysis, stimulates lipogenesis, and promotes fat storage. Diabetes 59, 775–781 (2010).

    CAS  Article  Google Scholar 

  20. Carlevaro-Fita, J. & Johnson, R. Global positioning system: understanding long noncoding RNAs through subcellular localization. Mol. Cell 73, 869–883 (2019).

    CAS  Article  Google Scholar 

  21. Lennox, K. A. & Behlke, M. A. Mini-review on current strategies to knockdown long non-coding RNAs. J. Rare Dis. Res. Treat. 1(3), 66–70 (2016).

    Article  Google Scholar 

  22. Rinn, J. L. et al. Functional demarcation of active and silent chromatin domains in human HOX loci by noncoding RNAs. Cell 129, 1311–1323 (2007).

    CAS  Article  Google Scholar 

  23. Kuo, F.-C. et al. Aberrant overexpression of HOTAIR inhibits abdominal adipogenesis through remodelling of genome-wide DNA methylation and transcription. Mol. Metab. 60, 101473 (2022).

    CAS  Article  Google Scholar 

  24. Ghafouri-Fard, S., Noroozi, R., Abak, A., Taheri, M. & Salimi, A. Emerging role of lncRNAs in the regulation of Rho GTPase pathway. Biomed. Pharmacother. 140, 111731 (2021).

    CAS  Article  Google Scholar 

  25. Wei, S. et al. Promotion of glycolysis by HOTAIR through GLUT1 upregulation via mTOR signaling. Oncol. Rep. 38, 1902–1908 (2017).

    CAS  Article  Google Scholar 

  26. Li, Z., Qian, J., Li, J. & Zhu, C. Knockdown of lncRNA-HOTAIR downregulates the drug-resistance of breast cancer cells to doxorubicin via the PI3K/AKT/mTOR signaling pathway. Exp. Ther. Med. 18, 435–442 (2019).

    CAS  PubMed  PubMed Central  Google Scholar 

  27. Rabanal-Ruiz, Y. et al. mTORC1 activity is supported by spatial association with focal adhesions. J. Cell Biol. (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  28. Tang, Y. et al. Adipose tissue mTORC2 regulates ChREBP-driven de novo lipogenesis and hepatic glucose metabolism. Nat. Commun. 7, 11365 (2016).

    ADS  CAS  Article  Google Scholar 

  29. Bertolio, R. et al. Sterol regulatory element binding protein 1 couples mechanical cues and lipid metabolism. Nat. Commun. 10, 1–11 (2019).

    CAS  Article  Google Scholar 

  30. Tchoukalova, Y. D. et al. Regional differences in cellular mechanisms of adipose tissue gain with overfeeding. Proc. Natl. Acad. Sci. U. S. A. 107, 18226–18231 (2010).

    ADS  CAS  Article  Google Scholar 

  31. González-Cruz, R. D., Fonseca, V. C. & Darling, E. M. Cellular mechanical properties reflect the differentiation potential of adipose-derived mesenchymal stem cells. Proc. Natl. Acad. Sci. U. S. A. 109, E1523–E1529 (2012).

    ADS  Article  Google Scholar 

  32. Estève, D. et al. Lobular architecture of human adipose tissue defines the niche and fate of progenitor cells. Nat. Commun. 10, 2549 (2019).

    ADS  Article  Google Scholar 

  33. Vogel, M. A. A. et al. A comparison between the abdominal and femoral adipose tissue proteome of overweight and obese women. Sci. Rep. 9, 4202 (2019).

    ADS  CAS  Article  Google Scholar 

  34. Divoux, A. et al. Differential open chromatin profile and transcriptomic signature define depot-specific human subcutaneous preadipocytes: primary outcomes. Clin. Epigenet. 10, 148 (2018).

    CAS  Article  Google Scholar 

  35. Liu, L. & Pilch, P. F. PTRF/Cavin-1 promotes efficient ribosomal RNA transcription in response to metabolic challenges. Elife (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  36. Law, C. W. et al. RNA-seq analysis is easy as 1-2-3 with limma Glimma and edgeR. F1000Res. 5, 1408 (2016).

    Article  Google Scholar 

  37. McDowell, I. C. et al. Clustering gene expression time series data using an infinite Gaussian process mixture model. PLoS Comput. Biol. 14, e1005896 (2018).

    Article  Google Scholar 

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We thank Tommy Karlsen for ASCs and reagents and the Norwegian Sequencing Center (Oslo University Hospital) for professional services.


This work was funded by South-East Health Norway (grant 40040) and the Research Council of Norway (grants 249734 and 313508).

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E.P. and N.B. designed the study, performed experiments and analyzed data. S.H.P. did bioinformatics analysis. T.G. contributed to microscopy. E.P., S.H.P. and N.B. made figures. E.P., S.H.P., P.C. and N.B. wrote the manuscript. N.B. is supervisor and guarantor of this work.

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Correspondence to Philippe Collas or Nolwenn Briand.

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Potolitsyna, E., Hazell Pickering, S., Germier, T. et al. Long non-coding RNA HOTAIR regulates cytoskeleton remodeling and lipid storage capacity during adipogenesis. Sci Rep 12, 10157 (2022).

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