Functional genomic analysis of the let-7 regulatory network in Caenorhabditis elegans.

The let-7 microRNA (miRNA) regulates cellular differentiation across many animal species. Loss of let-7 activity causes abnormal development in Caenorhabditis elegans and unchecked cellular proliferation in human cells, which contributes to tumorigenesis. These defects are due to improper expression of protein-coding genes normally under let-7 regulation. While some direct targets of let-7 have been identified, the genome-wide effect of let-7 insufficiency in a developing animal has not been fully investigated. Here we report the results of molecular and genetic assays aimed at determining the global network of genes regulated by let-7 in C. elegans. By screening for mis-regulated genes that also contribute to let-7 mutant phenotypes, we derived a list of physiologically relevant potential targets of let-7 regulation. Twenty new suppressors of the rupturing vulva or extra seam cell division phenotypes characteristic of let-7 mutants emerged. Three of these genes, opt-2, prmt-1, and T27D12.1, were found to associate with Argonaute in a let-7-dependent manner and are likely novel direct targets of this miRNA. Overall, a complex network of genes with various activities is subject to let-7 regulation to coordinate developmental timing across tissues during worm development.

Introduction

MicroRNAs (miRNAs) are an abundant class of regulatory genes that control many cellular and developmental processes [1]. The biogenesis of miRNAs requires multiple steps, beginning with transcription by RNA polymerase II to produce capped and polyadenylated primary transcripts [2], [3]. These transcripts are processed sequentially by the RNase III enzymes Drosha and Dicer, resulting in the ∼22 nucleotide (nt) single stranded mature miRNA. The mature miRNA is incorporated into the RNA induced silencing complex (RISC), which uses the miRNA as a sequence specific guide to find and mediate regulation of target mRNAs. The miRISC usually induces translational repression and destabilization of the target mRNA through mechanisms that are still being determined [4], [5].

let-7 was originally discovered as a miRNA controlling developmental timing in Caenorhabditis elegans [6], [7]. The lethality associated with mutations in this gene is at least partly due to vulval rupturing, where internal organs burst out of the egg-laying pore. Additionally, lateral hypodermal seam cells fail to terminally differentiate at the larval to adult transition in let-7 mutants. These phenotypes place let-7 in the heterochronic pathway, which includes genes that regulate the temporal identity of cell divisions and fates [6], [8]. let-7 regulates developmental timing, in part, through the direct target genes lin-41 and hbl-1 [6], [7], [9], [10]. These genes, in turn, regulate the transcription factor lin-29, which directly controls terminal differentiation in the hypodermis [6], [7], [9], [10]. Several transcription factors, such as the nuclear hormone receptor daf-12, the forkhead transcription factor pha-4 and the zinc finger protein die-1, genetically interact with let-7 and are also likely direct targets [11]. Genetic mutation or RNAi depletion of any one of these let-7 targets is sufficient to at least partially rescue the lethality of let-7 mutants.

The let-7 miRNA is a widely conserved animal miRNA and its role in regulating differentiation also appears to be conserved [12], [13], [14]. Typically, expression of let-7 family miRNAs is negligible in stem cells and in early embryonic tissues and is then up-regulated as cells take on more differentiated fates. In worms and mammalian cells, the LIN-28 RNA binding protein is largely responsible for keeping let-7 miRNA levels low during early development [15]. LIN-28 prevents the maturation of let-7 family miRNAs by blocking Drosha or Dicer processing or promoting destabilization of let-7 precursors [16], [17], [18], [19], [20], [21], [22], [23]. The abnormally low expression of let-7 detected in various types of tumors has been linked, in some cases, to aberrant up-regulation of LIN-28 [24]. Additionally, let-7 and LIN-28 have opposing effects on insulin sensitivity in mice [25], [26]. This is due at least in part to direct targeting of several metabolic genes by let-7 miRNA.

Consistent with its role in promoting differentiated states, decreased expression of let-7 miRNA has been associated with numerous types of cancer [14]. In fact, one of the first discovered targets of let-7 in humans is RAS, a notorious oncogene [27]. Since then, many genes that promote cell division or antagonize the differentiated state have been implicated as direct or indirect targets of let-7 regulation [28], [29], [30], [31], [32], [33]. Remarkably, the introduction of let-7 miRNA into lung or breast tumors in mouse models has been shown to halt tumor growth in vivo [31], [34], [35]. Thus, let-7 functions as a tumor suppressor in at least in some settings, where it represses the expression of genes needed for oncogenesis.

To understand how let-7 or any miRNA controls a cellular process, the genes it regulates must be identified. Many computational prediction approaches have been taken to match miRNAs to targets [11], [36], [37], [38], [39], [40], [41]. However, the limited overlap of predicted targets between programs suggests that a consensus regarding the rules for target recognition is yet to be reached. The best defined motif for target recognition is perfect pairing of miRNA nucleotides 2–7, called the “seed” region, with a target sequence [42]. Deviations from seed pairing can be compensated for by strong pairing of the 3′ end of the miRNA or “centered sites”, where the middle portion of the miRNA forms consecutive base pairs with the target [42], [43]. Several validated target sites fail to conform to any of these motifs [42], [44]. Furthermore, other features, such as location within an mRNA and RNA secondary structure surrounding the miRNA complementary sequence influence whether a target site will be recognized in vivo. Ultimately, the endogenous context of the target site and the cellular environment will determine which sequences will be recognized and regulated by miRISC.

Numerous experimental methods have complemented the in silico endeavors to match miRNAs with direct targets. Traditional genetic as well as RNAi-based suppressor screens have uncovered major targets of the first described miRNAs in C. elegans [6], [7], [11], [27], [45], [46]. More high-throughput methods have been based on the general role of miRNAs in down-regulating mRNA and protein levels of their targets [5], [47]. Microarray or RNA-seq analysis of transcripts up-regulated when a miRNA is absent can provide lists of potential direct targets [48], [49], [50], [51]. Likewise, large-scale proteomics analyses have been used to detect proteins sensitive to changes in expression of specific miRNAs [52], [53], [54]. More recently, ribosome profiling has been developed as an indirect method for assessing changes in the translation status of mRNAs, leading to the conclusion that regulation by miRISC generally results in target mRNA destabilization [55], [56]. A more direct approach for detecting targets of miRISC is to capture mRNAs associated with Argonaute complexes. RNA immunoprecipitation (RIP) or cross-linking followed by IP (CLIP) protocols have been used to identify entire transcripts or the actual mRNA sequences in contact with Argonaute, respectively [57], [58], [59], [60], [61], [62], [63], [64], [65], [66]. These types of experiments demonstrate that an mRNA is recognized by miRISC but do not necessarily reveal the identity of the miRNA involved or if the interaction is regulatory.

We combined several molecular and genetic methods to identify physiologically relevant targets of let-7 in C. elegans. Our approach for discovering new let-7 regulatory targets takes advantage of let-7 dependent expression differences of the known targets, including lin-41 [67], [68]. We postulated that other direct targets would also be mis-regulated in let-7 mutants. Therefore, in vivo expression changes were analyzed in wild-type (WT) and let-7 mutant animals using microarray analysis to identify a list of relevant candidate target genes. This list of genes was further refined by computational target predictions and expression analysis in the downstream heterochronic mutant, lin-29. The relevance of the up-regulated genes for let-7 phenotypes was tested through RNAi-based suppressor screens. These genetic analyses revealed twenty new downstream effectors of let-7 phenotypes, including multiple transcription factors and metabolic proteins. Several of these genes also affect let-7 dependent phenotypes seen in lin-28 mutants revealing a complex genetic interaction with let-7. By showing let-7 dependent association with Argonaute, we were able to confirm three new direct targets of let-7 with binding sites in the 3′ UTRs as well as in coding regions.

Results

While some direct targets of the let-7 miRNA are known, a full picture of the let-7 regulatory network remains largely uncharacterized. Although several groups have attempted to identify let-7 targets in C. elegans, the criteria and, consequently, the predicted targets from these approaches have minimal overlap [11], [36], [38], [39], [40], [41], [69]. We have undertaken a multi-step approach for the discovery and validation of let-7 targets in C. elegans, beginning with analysis of global, let-7-dependent gene expression changes, and followed by genetic interaction analysis of candidates. Final validation of direct targets was confirmed by let-7 dependent RISC association (Figure 1).

Figure 1

Summary of experimental design and results.

Shown is a flowchart outlining the experiments and analyses leading to the discovery of 3 new potential let-7 targets.

Widespread gene mis-regulation in worms deficient for let-7 activity

We have previously shown let-7-dependent mRNA destabilization of known direct targets [67], suggesting that in addition to giving a general picture of let-7 function, microarray analysis of gene-misregulation in let-7 mutants will provide a basis for the discovery of new direct targets. The let-7(n2853) mutation changes the fifth G to an A in the mature let-7 miRNA [6], which destabilizes target interactions and results in up-regulation of lin-41 mRNA, an established let-7 target [7], [67], [70]. To identify globally the genes regulated by let-7, six independent and paired wild-type and let-7(n2853) fourth larval stage (L4) RNA samples were labeled and hybridized to Affymetrix arrays. 2216 genes were up-regulated, and 1905 genes were down-regulated in the let-7(n2853) mutants compared to WT worms (FDR<0.05) (Table S1). By microarray analysis, most of the differentially expressed genes were only modestly mis-regulated, as only 42 genes were up-regulated >2-fold (Table 1) and 49 were down-regulated by >2-fold (Table 2). Illustrating the role of let-7 as a master regulator of development, the up-regulated genes were enriched for Biological Process Gene Ontology (GO) terms representing larval growth and development (Table S1). The up-regulated genes represent direct, including the known targets lin-41, daf-12, and hbl-1, and indirect targets of let-7 repression. To further investigate the regulatory relationships between let-7 and the up-regulated genes, a combination of computational and molecular-genetic criteria were used to enrich for direct target candidates among the up-regulated genes.

Table 1

Genes up-regulated more than 2-fold in let-7(n2853) compared to wild-type.

Gene	Sequence Name1	Fold Change	p-value2	Target Prediction3	Gene Description
col-90	C29E4.1	6.06	0.0009		Collagen
oac-29	F41E6.14	5.76	0.0004		Integral membrane O-acyltransferase
col-41	T10B10.1	3.84	0.0014		Collagen
	F15B9.8	3.1	0.0004		Thrombospondin type 1 domain
	C42D4.3	3.02	0.0067		Fibronectin
	Y47D7A.13	2.91	0.0084		Unknown function
pqn-5	C03A7.4	2.88	0.0129		Prion-like-(Q/N-rich)-domain-bearing protein
dct-5	F07F6.5	2.86	0.0130		DAF-16/FOXO Controlled, germline Tumor affecting
lin-41	C12C8.3	2.8	0.0001	W RGMC	Ring finger-B box-Coiled coil
	K01D12.9	2.8	0.0161		Unknown function
	ZK180.5	2.77	0.0077	W R M	Unknown function
	ZK970.7	2.75	0.0164		DUF148
abu-6	C03A7.7	2.73	0.0098		Activated in Blocked Unfolded protein response
	F35B3.4	2.67	0.0153	M	Fibronectin
grl-21	ZC168.5	2.55	0.0125		Hedgehog-like protein
nspb-10	C01G12.6	2.47	0.0193		Nematode Specific Peptide family, group B
	T20D4.12	2.44	0.0002		DUF19
	C09H5.2	2.41	0.0029	W	Na+/K+ ATPase, alpha subunit
grd-6	T18H9.1	2.39	0.0163	W	Hedgehog-like protein
abu-8	C03A7.14	2.34	0.0161		Activated in Blocked Unfolded protein response
grl-4	F42C5.7	2.34	0.0181		Hedgehog-like protein
col-91	F09G8.6	2.27	0.0123	P	Collagen
clec-52	B0218.8	2.26	0.0002		C-type lectin
pgp-14	F22E10.3	2.26	0.0085	W	Multidrug/pheromone exporter, ABC superfamily
rnh-1.3	C04F12.9	2.25	0.0001	W Y	Ribonuclease H
	W08E12.2	2.23	0.0173		Unknown function
fmo-4	F53F4.5	2.22	0.0013		Flavin-containing monooxygenase
	C28H8.5	2.19	0.0015	Y	DUF1794
nspb-12	F09F7.8	2.18	0.0118	W	Nematode Specific Peptide family, group B
	F10D11.6	2.17	0.0264		BPI/LBP/CETP family protein
grd-14	T01B10.2	2.16	0.0227		Hedgehog-like protein
col-156	F57B7.3	2.14	0.0050		Collagen
tyr-2	K08E3.1	2.14	0.0145		Tyrosinase
	R12E2.7	2.11	0.0476		Unknown function
	W08E12.3	2.11	0.0247		Unknown function
	C29F3.3	2.11	0.0194		Unknown function
abu-10	F35A5.3	2.11	0.0195		Activated in Blocked Unfolded protein response
	F18E9.3	2.1	0.0115		Unknown function
daf-12	F11A1.3	2.1	0.0003	WPYTRGMC	Nuclear hormone receptor
col-54	F33D11.3	2.05	0.0074	W	Collagen
	T28C12.4	2.05	0.0151	M	Carboxylesterase and related proteins
	K07E1.1	2.03	0.0271	P	ARD/ARD′ family

Sequence names from WormBase (http://www.wormbase.org).

FDR corrected.

W = mirWIP [41], P = PITA [40], Y = (this study), T = TargetScan [69], R = RNA22 [39], G = MicroTarget [11], M = Miranda [36], C = PicTar [38].

Table 2

Genes down-regulated more than 2-fold in let-7(n2853) compared to wild-type.

Gene	Sequence Name1	Fold Change	p-value2	Target Prediction3	Gene Description
col-38	F54C9.4	17.47	0.0018		Collagen
bli-1	C09G5.6	11.84	0.0035		Collagen
col-175	C35B8.1	11.8	0.0060		Collagen
bli-1	C09G5.6	11.41	0.0035		Collagen
	E01G4.6	10.81	0.0096		Unknown function
col-49	K09H9.3	9.39	0.0099		Collagen
col-71	Y49F6B.10	7.23	0.0060		Collagen
sta-2	F58E6.1	7.16	0.0041		STAT transcription factor family
rol-1	Y57A10A.11	6.07	0.0093		Collagen
	C33C12.3	5.73	0.0000		Beta-glucocerebrosidase family
dao-4	ZC373.6	5.44	0.0140	W	Dauer or Aging adult Overexpression family
col-138	C52D10.13	4.87	0.0067	W	Collagen
bli-2	F59E12.12	4.56	0.0184		Collagen
	T06D8.1	4.01	0.0008	W	Unknown function
vit-6	K07H8.6	3.91	0.0002	W M	Vitellogenin
	D1014.7	3.9	0.0095		Unknown function
	D1014.6	3.32	0.0130		Unknown function
	B0393.5	3.15	0.0211		Unknown function
col-109	Y38C1BA.3	3.13	0.0257		Collagen
	Y71G12B.18	3.01	0.0113		Unknown function
	R01E6.5	2.96	0.0410		Unknown function
	F09C8.1	2.95	0.0021		Phospholipase
vit-1	K09F5.2	2.88	0.0008		Vitellogenin
col-48	Y54E10BL.2	2.84	0.0276		Collagen
	Y39B6A.9	2.76	0.0180		Unknown function
	B0222.10	2.71	0.0232		Unknown function
col-63	ZK265.2	2.7	0.0107		Collagen
col-109	Y38C1BA.3	2.53	0.0257		Collagen
mltn-12	C53B4.8	2.51	0.0161	P	MLt-TeN (mlt-10) related
col-104	F58F6.1	2.45	0.0402		Collagen
	Y40H7A.10	2.42	0.0005		Cysteine proteinase Cathepsin L family
col-110	F19C7.7	2.41	0.0142		Collagen
vit-2	C42D8.2	2.37	0.0030		Vitellogenin
	ZK105.1	2.34	0.0014		Unknown function
cut-3	F22B5.3	2.32	0.0494		Cuticulin
	F19H6.5	2.28	0.0252		Unknown function
ugt-47	R04B5.9	2.28	3E-06		UDP-glucuronosyltransferase family
	ZK512.7	2.26	0.0002		Unknown function
	D1086.3	2.24	0.0006		Unknown function
col-97	ZK1010.7	2.22	0.0338	W	Collagen
	F55C10.4	2.2	0.0199		Unknown function
	F31D5.2	2.19	0.0033		Unknown function
mab-3	Y53C12B.5	2.19	0.0063		Transcription Factor
col-79	C09G5.3	2.17	0.0392		Collagen
	F01G10.9	2.14	0.0303		Unknown function
	K02B12.6	2.11	0.0301		Unknown function
nhr-234	Y38E10A.18	2.09	0.0019		Nuclear hormone receptor
	Y46G5A.29	2.05	0.0443		Unknown function
	W03D2.9	2.02	0.0138		Unknown function

Sequence names from WormBase (http://www.wormbase.org).

FDR corrected.

W = mirWIP [41], P = PITA [40], Y = (this study), T = TargetScan [69], R = RNA22 [39], G = MicroTarget [11], M = Miranda [36], C = PicTar [38].

Enrichment of let-7 complementary sequences in the 3′ UTRs of genes up-regulated in let-7 mutants

Direct mRNA targets of miRNAs typically have partially complementary miRNA binding sites, making prediction of miRNA targets from genomic sequence difficult [42], and many groups have developed a variety of rules for target recognition [11], [36], [38], [39], [40], [41], [69]. To enrich for biologically relevant candidates and allow for non-canonical binding sites, we searched for enriched 6-mer sequences in the 3′ UTRs of the genes up-regulated in let-7 mutants. Two conserved 6-mers complementary to let-7 mature sequence were enriched in the 3′ UTRs in the up-regulated gene set (Table S1). As expected, the nucleotides TACCTC, which are complementary to the let-7 seed sequence (nucleotides 2–7 of a mature miRNA), were enriched, consistent with the prevailing model for miRNA target recognition [42]. Also enriched was AACCTA, complementary to nucleotides 9–14 of let-7, which overlaps with the newly described “centered sites” observed for some miRNA target interactions [43]. 158 genes that were up-regulated in let-7 mutants had at least one of these two 6-mers in their 3′ UTRs. The presence of strong seed enrichment in the up-regulated gene set led us to include an additional 8 and 5 up-regulated, predicted targets found by the seed based algorithms PicTar and TargetScan respectively, for further analysis. From the three prediction methods, there were 167 unique direct target candidates, including the known targets lin-41, daf-12, and hbl-1.

Elimination of likely indirect downstream targets of let-7 regulation

We also employed an alternative filter to select potential let-7 targets independent of preconceptions about base pairing requirements. let-7 is near the end of a genetic pathway controlling developmental timing in C. elegans [71]. Negative regulation of lin-41 by let-7 in late larval stages allows the transcription factor LIN-29 to accumulate and to directly control the terminal differentiation of multiple cell types [6], [7], [72], [73]. In let-7 mutants, lin-41 persists in late larval stages where it can continue to negatively regulate lin-29 [6], [7]. Thus, in let-7 mutants, larval genes turned off by lin-29 will be up-regulated in addition to direct targets of let-7. In lin-29 mutants, the same downstream larval genes should be up-regulated, yet the upstream direct targets of let-7 should be unaffected. By analyzing gene-expression in lin-29 versus let-7 mutants, novel targets can be found that may not have obvious binding sites.

Three lin-29(n333) mutant L4 RNA samples paired with wildtype and let-7(n2853) samples were collected, labeled and hybridized to Affymetrix microarrays. In lin-29(n333), 3030 genes were up-regulated and 1994 genes were down-regulated relative to WT samples (Table S2). Consistent with a role for lin-29 in directing terminal differentiation and adult fates, genes up-regulated in lin-29 mutants were enriched for GO terms for larval development (Table S2). In comparison to WT, 930 common genes were up-regulated in both let-7(n2853) and lin-29(n333) and 649 common genes were down-regulated in both. We selected the 192 genes that were up-regulated in both of the let-7(n2853) vs. WT and the let-7(n2853) vs. lin-29(n333) pairs, which included lin-41, and daf-12, as possible direct targets (Tables S1 and S3). Combining the candidates that emerged from the computational and mRNA expression analyses, there were 340 candidates to test for genetic interactions with let-7.

Several transcription factors suppress vulval rupture in let-7 mutants

To identify functionally important genes among the list of candidates, we used RNAi screens to find genetic interactions by suppression of let-7 mutant phenotypes. The let-7 mutant worms display an array of developmental timing defects at the larval to adult transition including rupturing (Rup) of the intestine and gonads through the vulva [6], [7]. The developmental defects observed in let-7 mutants are caused by the over-expression of direct regulatory targets such as lin-41 and hbl-1, and some of these defects can be suppressed by RNAi knockdown of these targets in let-7 mutants [6], [7], [9], [10]. RNAi mediated suppression of vulval rupturing in let-7 mutants has been used to find new genetic interactions in sets of computationally predicted targets and in genes on chromosome I [11], [38], [74]. However, many of the candidate genes from our global expression analyses have not been assayed for vulval rupture and, thus, we were able to discover novel genetic suppressors.

Using the Ahringer feeding RNAi library [75], the Vidal feeding RNAi library [76] and a few clones we generated, 308 genes out of the 340 candidates were tested for suppression of vulval rupturing in the let-7(mn112) null strain. Homozygous let-7(mn112) mutants die at the late larval stages and must be maintained by a wild-type copy of the let-7 gene coming from a balanced translocation or a rescuing transgene [6], [7]. To grow a population of let-7(mn112) mutants to be able to score suppression, we generated a transgenic strain in which the worms were maintained by the presence of an extrachromosomal array (Ex[let-7(+); myo-2::GFP]), which contains a let-7 rescue fragment, allowing the mutants to survive, and the myo-2 promoter driving expression of a GFP marker in the pharynx to indicate the presence of the array (Figure 2A). To identify new suppressors of vulval rupturing, worms were grown synchronously from the L1 stage on bacteria expressing dsRNA targeting candidate genes or empty vector, as a negative control, and populations of non-transgenic animals were scored for the rate of vulval rupturing at the late larval and young adult stages (Figure 2B–2C). Nine clones exhibited larval growth arrest and therefore could not be scored for suppression. Empty vector clones were scored eight independent times as a negative control and 86–97% of these non-rescued worms ruptured at the time of scoring. We considered clones in which less than 75% of the population exhibited rupturing as suppressors (Figure 2D), consistent with a previous screen [11]. From this, 22 suppressors were retested and 16 clones again met the suppression threshold, including known suppressors lin-41, daf-12, and hbl-1 (Table 3) (Figure 2C–2D). Transcription factors constitute approximately half of the rupturing suppressors (7 of 16), several of which are involved in development including fos-1, lin-11, and sox-2 [77], [78], [79], [80], [81]. Enrichment of a different set of transcription factors was also noted by the Slack lab as genetic suppressors of their computational let-7 predictions [11].

Figure 2

Novel suppressors of vulval rupture in let-7 null mutants.

(A) Null let-7(mn112) worms were maintained with an extrachromosomal rescuing transgene (let-7(+)) co-expressing a pharyngeal GFP marker (myo-2::GFP). Progeny that lack the transgene rupture from the vulva and die. (B) The let-7(mn112); Ex[let-7(+);myo-2::GFP] strain was grown on bacteria expressing dsRNA corresponding to candidate targets and the empty vector control. The percent rupture of non-rescued (non-GFP) animals was determined for each RNAi clone. (C) The vector control RNAi fails to suppress vulval rupturing, while knockdown of a known target (daf-12) or a novel candidate (sox-2) allows let-7(mn112) animals to survive to adulthood. (D) The rate of vulval rupture was plotted for each RNAi clone tested. Green points indicate clones that reduced the rupture rate to below 75% in 2/2 experiments (n>50 worms/experiment). Purple points indicate RNAi clones depicted in (C). Red points indicate clones that failed to reproducibly meet the 75% cut-off. The vector negative controls are shown in black.

Table 3

Phenotypic suppressors of let-7 mutants.

Gene	Sequence Name1	let-7 fold change	lin-29 fold change	Target prediction2	Phenotypes suppressed3	ALG-1 CLIP4	Gene Description
daf-12	F11A1.3	2.1	1.04	WPYTRGMC	R(59%)S(***)	I 3	Nuclear hormone receptor
lin-41	C12C8.3	2.8	1.53	W RGMC	R(98%)S(***)	C 3	Ring finger-B box-Coiled coil
opt-2	K04E7.2	1.15	1.18	Y	R(34%)S(***)	C	Oligopeptide transporter family member
nhr-25	F11C1.6	1.71	1.91	WPY	R(98%)		Nuclear hormone receptor
hbl-1	F13D11.2	1.23	1.07	WPYTRGMC	R(88%)	3	Zn-finger transcription factor
adt-2	F08C6.1	1.07	0.85		R(63%)	C 3	ADAMTS family
	T08B2.8	1.04	1.02		R(48%)		Mitochondrial ribosomal protein L23
	C26E6.6	1.13	1.09		R(36%)		Ribosomal protein L3
lin-11	ZC247.3	1.1	0.92		R(34%)		Homeodomain transcription factor
sox-1	C32E12.5	1.49	2.15	WPY R	R(66%)		HMG-box transcription factor
sox-2	K08A8.2	1.11	1.22	WPY M	R(38%)		HMG-box transcription factor
fos-1	F29G9.4	1.21	1.42	T	R(87%)		Fos bZip transcription factor family
	T25G3.3	1.15	1.11	Y	R(32%)		Ortholog of S. cerevisiae NMD3
rha-2	C06E1.10	1.16	1.4	Y	R(32%)		DEAH-box RNA helicase
	Y39B6A.33	1.08	1.2	Y	R(28%)		Glioma tumor suppressor candidate region gene 2
	F42A8.1	1.48	0.76		R(99%)		Unknown function
	ZK1236.1	1.13	1.08		S(*)		Elongation factor-type GTP-binding protein
nduf-7	W10D5.2	1.04	1.06	WP TMC	S(*)		NADH-ubiquinone oxidoreductase
sor-1	ZK1236.3	1.1	0.97	P	S(**)		Polycomb group-like complex member
daf-9	T13C5.1	1.61	1.48	PY	S(***)	3	Cytochrome P450 CYP2 subfamily
prmt-1	Y113G7B.17	1.19	1.29	WPY	S(**)	C 3	Protein arginine N-methyltransferase family
	T27D12.1	1.31	0.89		S(**)	C 3	Sodium/ phosphate transporter
clec-51	B0218.6	1.13	1.06	M	C-	Ctin fa	member

Sequence names from WormBase (http://www.wormbase.org).

W = mirWIP [41], P = PITA [40], Y = (this paper), T = TargetScan [69], R = RNA22 [39], G = MicroTarget [11], M = Miranda [36], C = PicTar [38].

R = Suppression of rupturing phenotype (% non-rupture), S = Suppression of the extra seam cell nuclei phenotype (significance level.

Locations of ALG-1 binding sites C =  coding region, I = intron, 3 = 3' UTR [66].

let-7–dependent seam cell cycle exit is controlled by a diverse set of downstream genes

To broaden the search for genes that interact with let-7 beyond those involved in vulval rupture, we reasoned that novel targets might control other phenotypes found in let-7 mutants. In addition to the rupturing phenotype, let-7 mutants also have defects in the terminal differentiation of their seam cells, a specialized type of hypodermal cell [6], [7], [82]. Seam cells undergo significant changes during the larval to adult transition, including fusion of the seam cells, cessation of division, and the secretion of the adult cuticular structure known as alae [83]. Exit of the seam cells from the cell cycle and secretion of alae have been shown to be retarded in let-7 mutants [6], [7], [82]. Interestingly, seam cell fusion was unaffected in let-7(mn112) null mutants, suggesting that some aspects of seam cell terminal differentiation are let-7 independent (Figure S1). We chose to focus on the cell cycle exit defect, in which the seam cells fail to stop dividing at the larval to adult transition [82], as this would be the first screen for suppression of this phenotype and likely to uncover novel genetic interactions. Candidate RNAi clones from the rupturing suppression screen were tested for suppression of the cell cycle exit defect in let-7(n2853) mutants also carrying the integrated transgene Int[scm::GFP], which expresses a nuclear localized GFP specifically expressed in seam cells. The number of GFP positive seam cell nuclei were counted in at least 20 young adult worms (Figure 3A). Candidates were considered suppressed if they had significantly less nuclei than empty vector grown at the same time, p<0.05 using a Mann-Whitney U test. The 23 suppressing clones yielded 10 reproducible suppressors upon retest (Figure 3B and Table 3).

Figure 3

Suppression of supernumerary seam cell nuclei in let-7 mutants.

(A) While wild-type worms have 16 seam cell nuclei, let-7(n2853) worms have significantly more (∼23) [82]. To score for suppression of the extra seam cell phenotype, let-7 mutants expressing nuclear GFP in seam cells (let-7(n2853);Int[scm::GFP]) were grown at the restrictive temperature (25°C) on bacteria expressing dsRNA against candidate targets and the vector control. The number of seam cell nuclei was counted in a population of 20 worms evaluated against the same size population concurrently grown on the empty vector control. RNAi clones that resulted in worm populations with significantly lower seam cell numbers (p<0.05) were retested and scored using a population of at least 20 worms. (B) Suppressors of the extra seam cell nuclei phenotype in let-7(n2853) (p-value<0.05) are shown by bubble plot. Each bubble indicates the number of seam cell nuclei per worm for a population (n≥20) and the size of each bubble is proportional to the number of the animals in the population with a given seam cell number. * p<0.05, ** p<0.01, *** p<0.0001 in two independent trials.

Among the suppressors were lin-41 and daf-12, which suppress two other let-7 phenotypes, vulval rupture and alae formation [6], [7], [11]. Thus lin-41 and daf-12 RNAi are sufficient to suppress all previously described phenotypes of let-7 mutants. Though hbl-1 RNAi also suppresses rupturing and alae formation defects, it is not surprising that it does not suppress the extra seam cell nuclei defect because hbl-1 loss of function mutants also have an increase in the seam cell nuclei number [10]. Of the 306 clones screened, 7 clones caused larval arrest and could not be scored. Consistent with previous work by the Gilleard lab [84] , elt-1 RNAi led to the loss of most of the seam cells during larval development, rendering it inconclusive for suppression. Suppressors of the supernumerary seam cell divisions in let-7(n2853) represent a diverse set of gene functions and there is only modest overlap with the rupturing suppressors, suggesting that the two phenotypes are likely under separate genetic control (Table 3).

Candidate let-7 targets differentially affect vulva formation

The twenty-three candidate let-7 targets were also tested for potential roles in a vulva formation abnormality due to precocious let-7 expression. The loss of function lin-28(n719) mutants exhibit a partially penetrant temperature-sensitive protruding multiple vulva (pmuv) phenotype that is dependent on let-7. At 25°C, this phenotype is expressed in ∼67% of the lin-28(n719) population with the remaining worms displaying a single protruding vulva (pvul) (Figure 4A). In the presence of the let-7(mn112) null allele, the pmuv phenotype is no longer observed in lin-28(n719) worms, and 100% of the double mutant population expresses the pvul phenotype (Figure 4A). Thus, the pmuv phenotype is dependent on let-7, and suggests that the precocious expression of let-7 in the lin-28 mutants might prematurely repress targets needed to regulate vulval cell patterning. We predicted that further suppression of such targets by RNAi would enhance the pmuv phenotype in lin-28(n719) worms. To identify potential targets that act in this pathway, the percent of the population exhibiting pmuv was scored for lin-28(n719) mutants subjected to RNAi of the 23 candidates. RNAi of three genes produced the expected enhancement of the pmuv phenotype (Figure 4B), suggesting that inappropriate down-regulation of these candidates in lin-28 mutants contributes to mis-specification of vulval cell fates. This enhanced phenotype is dependent on let-7 because the pmuv phenotype is almost entirely absent in lin-28 mutant worms that also lack let-7 activity (lin-28(n719);let-7(mn112)) (Figure 4C). Surprisingly, another set of genes significantly decreased the incidence of pmuv in lin-28(n719) (Figure 4B) and, in the case of nhr-25, the pvul phenotype was also suppressed in the lin-28(n719);let-7(mn112) double mutants (Figure 4C). These results suggest that some of the candidate genes may have a more complicated relationship with let-7, possibly affecting let-7 expression or activity in tissue-specific feedback loops.

Figure 4

Differential effects of let-7 target candidates on vulva formation.

(A) Micrographs of the protruding multiple vulva (pmuv) phenotype in lin-28(n719) and the suppression to a single protruding vulva (pvul) when combined with let-7(mn112). White arrowheads point to protruding vulvas in the mutants. (B) To screen for changes in the pmuv phenotype, 50–100 lin-28(n719) worms were grown to adulthood on vector control or gene specific RNAi plates (x-axis) and scored for percentage of pmuv (y-axis). The bar graphs represent the average percent of pmuv worms as determined from 5 independent experiments. Error bars represent the standard deviation from the mean and the * points to clones that resulted in significant enhancement or suppression in the % of pmuv worms when compared to the control (empty vector), *P<0.05. (C) To screen for changes in the pvul phenotype, 50–100 lin-28(n719);let-7(mn112) worms were grown to adulthood on vector control or gene specific RNAi plates (x-axis) and scored for percentage of pvul (y-axis). The bar graphs represent the average percent of pvul worms as determined from 4 independent experiments. Error bars represent the standard deviation from the mean and the * points to clones that resulted in significant suppression in the % of pvul worms when compared to the control (empty vector), *P<0.05.

Novel targets associated with ALG-1 in a let-7–dependent manner

miRNAs repress target mRNA expression through their association with Argonaute proteins allowing them to act as sequence-specific guides for the RISC complex [4], [5]. Taking advantage of the recent global map of Argonaute Like Gene 1 (ALG-1) binding sites in C. elegans [66], we searched for these sites in the twenty-three suppressors. Eight of the twenty-three suppressing genes had significant ALG-1 binding sites within their 3′ UTRs and coding regions. This group included the known let-7 targets, such as daf-12 and lin-41, as well as hbl-1, which is also a target of other let-7 miRNA family members (Table 3) [7], [9], [10], [11], [85], [86], [87].

To test if let-7 is responsible for the interaction of ALG-1 with these genes, we analyzed their association with ALG-1 using RNA immunoprecipitation (RIP) in wild-type and let-7(n2853) worms (Figure 5A). Genes regulated by let-7 are expected to be enriched in wild-type samples versus let-7 mutant samples, while genes targeted by other miRNAs should be amplified similarly in both strains. Four independent RIPs were analyzed, and targets enriched in the wild-type for at least 2 of the 4 replicates were considered to be dependent on let-7 for ALG-1 association. The known targets lin-41 and daf-12, served as positive controls with both showing let-7-dependent enrichment in the ALG-1 IP. fos-1 was used as a negative control as it did not have any significant CLIP reads nor did fos-1 sequences amplify from the RIPs in either worm strain. lin-14 was also used as a negative control because it is a known target of a different miRNA, lin-4, and as expected there was no significant change in ALG-1 binding in let-7 mutants compared to WT. daf-9 and adt-2 had significant CLIP reads but could not be verified as targets through the RIP analysis. adt-2 had similar levels in the WT and let-7(n2853) mutant strains suggesting it may be targeted by a different miRNA, which could mask any let-7 dependent RISC association.

Figure 5

Argonaute associates with targets in a let-7–dependent manner.

(A) Sequences in the indicated genes were detected by semi-quantitative PCR of cDNA from ALG-1 immunoprecipitation assays from L4 staged WT and let-7(n2853) strains. Based on enrichment in the WT compared to let-7 RIP from 4 independent experiments, three new targets were identified, T27D12.1, prmt-1, and opt-2. (B) let-7 complementary sites (LCS) are present in each of the newly identified targets. Each LCS is within an ALG-1 binding site. (C) qPCR analysis of WT and let-7(n2853) cDNA from L4 staged worms. Targets were normalized to 18S ribosomal RNA. Shown is the average and standard deviation from 3 independent experiments.

Three novel targets were identified: prmt-1, opt-2, and T27D12.1. They were all enriched in the WT compared to the let-7(n2853) RIP (Figure 5A) and are, therefore, associated with ALG-1 in a let-7-dependent manner. Furthermore, we found let-7 complementary sites (LCS) within the ALG-1 binding sites of these targets (Figure 5B), supporting these genes as new direct targets of let-7. Interestingly, T27D12.1 and opt-2, which contain predicted target sites in coding exon sequences, showed weak mis-regulation at the mRNA level in let-7(n2853) versus WT worms (Figure 5C). In contrast, prmt-1 and the positive control lin-41, which contain 3′UTR target sites, were up-regulated over three-fold at the mRNA level in the let-7 mutant worms. These data are consistent with the global correlation observed between changes in mRNA levels and ALG-1 binding to 3′UTR, but not coding exon sequences [88].

Discussion

The let-7 miRNA is exceptional in its conservation and essential role in cellular differentiation across species [13]. Loss of let-7 activity results in lethality in worms and contributes to oncogenesis in mammalian tissues [14], [89]. Since these effects are due to mis-regulation of let-7 targets, identification of the biologically relevant genes regulated by this miRNA has been a paramount research goal. Through a combination of genetic and molecular screens in C. elegans, we have uncovered twenty-three genes that are up-regulated in let-7 mutants and contribute to the developmental abnormalities characteristic of these mutants. Three of these genes, lin-41, daf-12 and hbl-1, are the best previously characterized let-7 targets in C. elegans, validating the sensitivity of our approach [6], [7], [9], [10], [11]. Unexpectedly, a subset of the genes that suppressed let-7 mutant phenotypes also suppressed a lin-28 phenotype that is due to up-regulation of let-7 expression, suggesting nonlinear pathways between these targets and let-7 in vulval precursor cells. Three genes, prmt-1, opt-2, and T27D12.1, were found to associate with the miRNA complex in a let-7 dependent manner and, thus, emerged as likely novel direct targets of let-7.

A large fraction of the transcriptome is mis-regulated in let-7(n2853) worms. Based on microarray analyses, most of these changes are less than two-fold. However, let-7(n2853) is a temperature sensitive loss of function strain that maintains some let-7 activity even at the non-permissive temperatures. Accordingly, the fold change in let-7 target mRNA expression for lin-41, for example, is less dramatic in let-7(n2853) compared to wild type at the L4 stage than it is in stages before (L2) and after (L4) let-7 expression in wild type worms [67]. By using reproducibility in the direction of change, instead of the absolute fold difference in mRNA levels, we identified twenty new genes in the let-7 pathway that exhibited only modest expression differences in let-7 mutants. In fact of our list of let-7 suppressors, only lin-41 and daf-12 were mis-regulated by more than two-fold by microarray analyses. The large number of down-regulated genes in let-7(n2853) mutants likely represents indirect targets, reflecting mis-regulation of direct targets that transcriptionally regulate some of these genes. Over one-third of the genes up and down-regulated in let-7(n2853) were changed in the same direction in lin-29 mutants, indicating that failure to trigger the lin-29-dependent transcriptional program also accounts for many of the mis-regulated genes in let-7 mutants.

Considering that the two well-established targets of let-7, lin-41, and daf-12, suppress both the rupturing vulva and extra seam cell phenotypes of let-7 mutants, it was surprising to find almost entirely distinct sets of new genes affecting one phenotype versus the other. The opt-2 gene was the only additional suppressor of both phenotypes, suggesting that different pathways largely control maturation of the vulva and seam cells. While it is not entirely understood why let-7 mutants rupture through the vulva, it has been postulated that improper cell fusions during vulva formation cause weakening and destabilization of this structure. Fourteen new genes were found to suppress the bursting vulva phenotype when subjected to RNAi conditions, none of which overlapped with the previously described suppressors of this let-7 phenotype [11], [74]. A distinction from these studies is that we screened for suppression in null let-7(mn112) worms as opposed to the weaker let-7(n2853) strain. Two of the let-7(n2853) suppressors identified in Grosshans et al., 2005, lin-59 and lss-18, were found to be up-regulated in let-7 mutants by our microarray analyses. However, these candidates failed to suppress the rupturing of let-7(mn112) worms, in agreement with the previous study [11]. Many of the genes we identified as suppressors of vulva rupturing encode transcription factors, a category also prominent on the list of potential let-7 targets described in Grosshans et al., 2005 [11]. Genes involved in translation make up another class of let-7(n2853) suppressors [74]. A combined approach, incorporating let-7 target predictions by PicTar, reporter assays and screens for suppression of rupturing in let-7(n2853), resulted in twelve potential new targets [38]. Of the genes that passed the genetic test, only fos-1 is in common with our list of bursting suppressors. Another group tested 181 genes with various criteria for being potential let-7 targets for changes in protein levels in WT versus let-7(n2853) worms [54]. Of the nineteen candidates up-regulated in let-7 mutants, nine also suppressed rupturing in let-7(n2853). Three of these suppressors, T19A6.2, Y47GA.10, and F46B6.7, were up-regulated in our microarray data. However, they failed suppress vulva rupturing in the null let-7(mn112) background and, thus, did not appear on our final list of candidates. An important consideration when screening for suppression of vulva rupturing is that in some cases the effect may be indirect due to slow or halted development or the absence of vulva formation. These caveats were avoided by using the let-7(mn112) strain containing the extrachromosomal let-7 rescue construct, as RNAi clones that affected development regardless of the presence of the let-7 transgene could be flagged. Nonetheless, the observation that RNAi of many different genes results in suppression of the rupturing phenotype in let-7 mutants points to the existence of cross-regulatory pathways that are sensitive to down-regulation of a single target.

Reiteration of seam cell nuclear divisions at the transition to adulthood is another characteristic of let-7 mutants [11], [82]. In C. elegans, the lateral seam cells undergo an asymmetric division in which one daughter cell differentiates while the other repeats this pattern at each larval stage [83]. In let-7 mutants, the seam cells inappropriately undergo the larval type division instead of differentiating to the adult fate, where the cells normally fuse and cease dividing [6]. The heterochronic gene lin-29 is downstream of let-7 and is a master regulator of seam cell differentiation [6], [73]. The failure of seam cells to properly differentiate in let-7 mutants seems to be largely due to a lack of lin-29 activity [6], [7]. How let-7 positively regulates the expression of LIN-29 protein is presently unknown. Our screen identified eight new genes that suppress the supernumerary seam cell divisions of let-7(n2853) mutants. Three of these suppressors, opt-2, prmt-1, T27D12.1, are likely direct targets of let-7 since their association with Argonaute is dependent on this miRNA. The group of extra seam cell suppressors includes factors with a variety of predicted functions that could potentially contribute to mis-regulation of lin-29.

In C. elegans, processing of the let-7 miRNA early in larval development is inhibited by LIN-28 protein [21], [23]. In lin-28(n719) mutants, let-7 miRNA is expressed precociously, resulting in premature repression of its targets. One effect of this mis-regulation is the development of protruding multiple vulvas in lin-28 mutants grown at 25°C. This partially penetrant pmuv phenotype is dependent on let-7 because lin-28(n719);let-7(mn112) strains only produce single protruding vulvas. Since early accumulation of let-7 miRNA is expected to cause premature down-regulation of targets, we anticipated that further silencing of potential targets by RNAi would enhance the pmuv phenotype in lin-28(n719) worms. Three candidates, fos-1, ZK1236.1 and T08B2.8, emerged as enhancers, pointing to roles for these genes in vulval fate specification. Surprisingly, there were also several candidates that decreased the percentage of pmuv in lin-28(n719) worms including, nhr-25, hbl-1, sox-1, prmt-1, and nduf-7. Since this effect is also observed when let-7 is removed from lin-28(n719), these suppressors potentially feedback to regulate the expression or function of let-7 in vulval precursor cells. Feedback loops between let-7 family members and targets, such as daf-12 and hbl-1, in other tissues have been previously demonstrated [9], [10], [85], [86], [87], [90].

Multiple lines of molecular and genetic evidence support opt-2, prmt-1 and T27D12.1 as new direct targets of let-7 regulation. One of the targets, opt-2, may be a general downstream effector in the let-7 pathway as down-regulation of opt-2 suppresses phenotypes in the vulva and seam cells. Before this study, opt-2 was not a predicted let-7 target because it lacks complementarity to the 5′ end of the miRNA (seed) in its 3′UTR. However, a single ALG-1 binding site is present in the second last exon of opt-2 and this region includes a predicted let-7 binding site. opt-2 (also known as pept-1) is a member of the peptide transporter family and facilitates uptake of di- and tri-peptides in the intestine [91], [92]. Loss of opt-2 activity slows development, alters fat accumulation and enhances stress resistance 91,93. Although opt-2 appears to be exclusively expressed in the intestine, loss of this factor causes global changes in gene expression [94], [95]. Reporters driven by the let-7 promoter also show intestinal expression, suggesting that let-7 miRNA is available for directly regulating opt-2 in this tissue [96], [97], [98]. The ability of opt-2 RNAi to suppress let-7 phenotypes in vulval and seam cells suggests that signaling from the intestine influences development of these tissues.

Another likely direct target, T27D12.1, also seems to be regulated by let-7 through sequences in its open reading frame. This gene lacks predicted target sites for let-7 in its 3′UTR but came through our screen as a modestly up-regulated gene in let-7(n2853) that was capable of suppressing the extra seam cell phenotype of these mutants. T27D12.1 contains one ALG-1 binding site in its 3′UTR and one in a coding exon, but only the exonic region includes an obvious LCS, which conforms to seed-pairing with the allowance of a G-U pair. T27D12.1 is predicted to encode a sodium/phosphate transporter protein but little else is known about this factor.

The more conventional miRNA target, prmt-1, has an LCS within its 3′UTR and was previously predicted by the mirWIP and PITA algorithms as a let-7 target [40], [41]. While prmt-1 has ALG-1 binding sites in its 3′UTR as well as coding exon sequences, only the 3′UTR site includes an obvious let-7 complementary site. Although there is not a canonical LCS in the 3′UTRs of mammalian homologs of prmt-1, there are several well conserved potential let-7 binding sites (Figure S2). prmt-1 encodes a protein arginine methyltransferase, and it has been shown in mammalian cells to be a major contributor to methylation of histone 4 at arg-3, leading to transcriptional activation [99], [100]. Additionally, PRMT-1 has been shown to methylate arginine residues on other types of proteins in mammalian cells and C. elegans [93], [101]. Recently, it was discovered that PRMT-1 methylates DAF-16, a key transcription factor in the insulin pathway [101]. This modification prevents phosphorylation of DAF-16 by AKT, thus, keeping it in an active state to promote the expression of longevity-related genes. prmt-1 has a broad expression pattern that is largely overlapping with let-7 transcriptional reporters [96], [97], [98], [101]. Down-regulation of prmt-1 by let-7 in late larval stages could influence the lifespan of worms by causing reduced methylation and, hence, activity of DAF-16.

Our combination of molecular and genetic screens revealed a complex network of genes that interact with let-7 in C. elegans. This approach was sensitive enough to detect the established let-7 targets, lin-41, daf-12 and hbl-1. While these genes are regulated at the mRNA level, other targets that are only subject to translational repression would be missed by focusing on transcripts up-regulated in let-7 mutants. However, the microarray data revealed that thousands of genes are mis-regulated when there is insufficient let-7 activity, supporting a widespread role for this miRNA in regulating, directly and indirectly, gene expression. A set of the up-regulated genes proved to be biologically relevant for the developmental abnormalities that arise in the absence of let-7 activity. At least three of these genes, which encode transport proteins and a modifying enzyme, appear to be new direct targets of let-7. In conclusion, let-7 appears to regulate a variety of direct targets, which in turn influences the expression of hundreds of other genes. Loss of this miRNA alone results in extensive changes in gene expression and abnormal development in multiple tissues, supporting the role of let-7 as a master gene regulator.

Materials and Methods

Nematode strains

The C. elegans strains were cultured at 15°C or 25°C under standard conditions [102]. Worms were synchronized by hypochlorite treatment and development was initiated by plating arrested L1 hatchlings on NGM plates seeded with OP50 bacteria or RNAi bacteria on RNAi plates. Strains used in this study include the following: wild type (WT) Bristol N2, MT7626 let-7(n2853), MT333 lin-29(n333), MT1524 lin-28(n719), PQ79 mnDp1(X/V)/+; unc-3(ed151) let-7(mn112); Ex[let-7(+); myo-2::GFP], PQ270 mnDp1(X/V)/+; unc-3(ed151) let-7(mn112); lin-28(n719), PQ293 let-7(n2853); Int[scm::GFP].

RNAi experiments

Seam cell nuclei were counted at 40 hr (25°C) in 20 adult PQ293 let-7(n2853); Int[scm::GFP] worms grown on vector control or gene specific RNAi plates for one generation. Suppression was determined by a Mann-Whitney U test comparing worms on each RNAi vector to those on the empty L4440 control vector grown on the same day. Bursting suppression was scored as more than 25% non-bursting, non-green (non-rescued) 40 hr adult PQ79 mnDp1(X/V)/+; unc-3(ed151) let-7(mn112); Ex[let-7(+); myo-2::GFP] worms grown at 25°C. All suppressing clones were retested using the same criteria for reproducibility. All clones suppressing at least one phenotype were verified by sequencing. Fifty to one hundred lin-28(n719) or lin-28(n719);let-7(mn112) worms were grown on RNAi until 48 hr (25°C) adults and then scored for the protruding multivulva (Pmuv) or protruding single vulva (Pvul) phenotypes. Suppression/enhancement was determined by a Ttest comparing worms on each RNAi clone to those on the empty L4440 control vector grown at the same time for 4 or 5 independent RNAi experiments.

Microarray analysis

Six paired replicates of L4 RNA from WT or let-7(n2853) worms were prepared and labeled as per manufacturer's instructions (Affymetrix, Santa Clara) and hybridized to Affymetrix C. elegans Gene microarrays. Three of the paired replicates of WT and let-7(n2853) were also paired with lin-29(n333) replicates for array analysis. To assess the significance of differential gene expression between the two groups, a paired t-statistic was computed. CEL files obtained after scanning were analyzed by using Affymetrix APT tools and Robust Multi-array Average (RMA)-sketch normalized [103]. Annotation files for the probe sets were obtained from Affymetrix. The paired t-test statistic was utilized to compute differences between groups for each probe set. Probe sets were mapped to custom gene structures generated from Refseq annotations obtained from ce2 at the UCSC genome browser. Gene ontology analyses were performed using the database for annotation, visualization and integrated discovery (DAVID) and the Functional Annotation Clustering Tool [104], [105]. Classifications were set to the highest stringency and the recommended enrichment score of ≥1.3 was applied. To search for enriched motifs in the gene lists, pair-wise alignments between C. briggsae (cb1) and C. elegans (ce2) were obtained from the UCSC genome browser. 3′UTR exons were spliced together to generate the sequence if necessary, and then extended to 2000 bases from the stop codon. 6-mer enrichment in genes up-regulated in let-7(n2853) versus non-regulated genes was computed using methods described in [106].

RNA immunoprecipitation (RIP)

RIP assays were preformed as previously described [23], [88]. Synchronized WT and let-7(n2853) worms were grown at 25°C for 29 hours before being cross-linked by UV treatment. Equal amounts of lysates were pre-cleared before immunoprecipitation with the anti-ALG-1 antibody (Thermo Fisher Scientific) or control IgG (Caltag Laboratories) and protein G Dynabeads (Invitrogen). Immunoprecipitated material was subjected to Proteinase K treatment and RNA extraction before reverse transcription using random oligo priming. The resulting cDNA was used in PCR with the primers listed in Table S4.

qPCR

RNA was isolated from WT and let-7(n2853) worms grown at 25°C for 28 hours. qPCR was performed on cDNA with SYBR green (Applied Biosystems) and 10 uM of each forward and reverse primer on an ABI Prism 7000 real time PCR machine. Primers are listed in Table S4.

Seam cell fusion proceeds normally in let-7 mutants. Indirect immunofluorescence with the MH27 monoclonal α-AJM-1 antibody labels apical junctions in hypodermal cells, allowing visualization of seam cell fusion. Fused seam cells are seen in WT (A) and let-7(mn112) (B) at the young adult stage by the lack of junctions between cells (white arrowheads), which are apparent in lin-29(n333) worms where seam cell fusion fails (C). No dramatic decrease in fusion was seen in either let-7(mn112) early/mid L4 worms with (let-7(mn112); Ex[let-7(+);myo-2::GFP]) or without (let-7(mn112)) the rescue fragment (D) or in let-7(n2853) compared to WT worms at the adult stage (E).

(DOCX)

Click here for additional data file.

Conservation of potential let-7 complementary sites (LCSs) in mammalian prmt-1. (A) Genome browser track showing the last exon of PRMT1. Base-wise conservation from PhastCons is shown in green for all species with available alignments on the UCSC Genome Browser. 3′UTR locations complementary to let-7 are drawn as black rectangles. (B) PRMT1::let-7 duplexes predicted by RNAhybrid. Capital letters denote paired bases, lower-case letters indicate unpaired bases, dashes indicate gaps. Minimum free energy of binding is listed on the right side of each duplex. (C) All five LCS positions and their conservation across the available genome alignments is shown. Dots indicate an exact match to the human reference. Vertical orange lines indicate insertions or deletions with the size of gaps listed along the bottom of each alignment.

(DOCX)

Click here for additional data file.

Differential gene expression in let-7(n2853) versus N2 wildtype worms. Sheet 1 shows the microarray results of mRNA expression in let-7(n2853) versus N2 wildtype worms at the L4 stage. Sheets 2 and 3 show the results of DAVID analysis for genes up- or down-regulated in let-7(n2853), respectively. Sheet 4 indicates ALG-1 binding sites in candidates selected for phenotypic assays. Sheet 5 lists the enriched motifs found in the 3′UTRs of genes up-regulated in let-7(n2853).

(XLSX)

Click here for additional data file.

Differential gene expression in lin-29(n333) versus N2 wildtype worms. Sheet 1 shows the microarray results of mRNA expression in lin-29(n333) versus N2 wildtype worms at the L4 stage. Sheets 2 and 3 show the results of DAVID analysis for genes up- or down-regulated in lin-29(n333), respectively.

(XLS)

Click here for additional data file.

Differential gene expression in let-7(n2853) versus lin-29(n333) worms. Sheet 1 shows the microarray results of mRNA expression in let-7(n2853) versus lin-29(n333) worms at the L4 stage. Sheets 2 and 3 show the results of DAVID analysis for genes up- or down-regulated in let-7(n2853) versus lin-29(n333), respectively.

(XLS)

Click here for additional data file.

List of primer sequences used in this study.

(XLSX)

Click here for additional data file.