Published in: Nature advance online publication 29 March 2006
doi:10.1038/nature04687;
Received 5 December 2005; ; Accepted 2 March 2006
http://www.nature.com/nature/journal/vaop/ncurrent/full/nature04687.html


"A loss-of-function RNA interference screen for molecular targets in cancer".

Vu N. Ngo 1, 3, R. Eric Davis 1, 3, Laurence Lamy 1, Xin Yu 1, Hong Zhao 1, Georg Lenz 1, Lloyd T. Lam 1, Sandeep Dave 1, Liming Yang 2, John Powell 2, and Louis M. Staudt 1

1 Metabolism Branch, Center for Cancer Research, National Cancer Institute, and
2 Bioinformatics and Molecular Analysis Section, Computational Bioscience and Engineering Laboratory, CIT, National Institutes of Health, Bethesda, Maryland 20892, USA
3, *These authors contributed equally to this work

Correspondence and requests for materials should be addressed to L.M.S. (Email: lstaudt@mail.nih.gov).
The microarray data discussed in this publication have been deposited in the Gene Expression Omnibus of NCBI (GEO, http://www.ncbi.nlm.nih.gov/geo/) and are accessible through GEO series accession number GSE3896.



NetworkEditor's Perspective: "Deficiencies of  RNA species within human neoplasms".
Abstract:
Introduction:
   Fig. 1: Inducible shRNA library screen for genes controlling cancer cell proliferation and survival.
Results:
   Fig. 2: Identification of shRNAs that block the proliferation or survival of lymphoma cell lines.
   Fig. 3: Toxicity of CARD11 and MALT1 shRNAs for activated B-cell-like DLBCL cell lines.
   Fig. 4: Role of CARD11, MALT1 and BCL10 in NF-kB signalling in activated B-cell-like DLBCL.
Achilles' heel:
Methods:
Acknowledgments:
Supplementary Information:
References:
Additional References:
Further Topics:
Other Links:
Further Information:




Abstract

The pursuit of novel therapeutic agents in cancer relies on the identification and validation of molecular targets. Hallmarks of cancer include self-sufficiency in growth signals and evasion from apoptosis [1]; genes that regulate these processes may be optimal for therapeutic attack. Here we describe a loss-of-function screen for genes required for the proliferation and survival of cancer cells using an RNA interference library. We used a doxycycline-inducible retroviral vector for the expression of small hairpin RNAs (shRNAs) to construct a library targeting 2,500 human genes. We used retroviral pools from this library to infect cell lines representing two distinct molecular subgroups of diffuse large B-cell lymphoma (DLBCL), termed activated B-cell-like DLBCL and germinal centre B-cell-like DLBCL. Each vector was engineered to contain a unique 60-base-pair 'bar code', allowing the abundance of an individual shRNA vector within a population of transduced cells to be measured using microarrays of the bar-code sequences. We observed that a subset of shRNA vectors was depleted from the transduced cells after three weeks in culture only if shRNA expression was induced. In activated B-cell-like DLBCL cells, but not germinal centre B-cell-like DLBCL cells, shRNAs targeting the NF-kB pathway were depleted, in keeping with the essential role of this pathway in the survival of activated B-cell-like DLBCL. This screen uncovered CARD11 as a key upstream signalling component responsible for the constitutive IkB kinase activity in activated B-cell-like DLBCL. The methodology that we describe can be used to establish a functional taxonomy of cancer and help reveal new classes of therapeutic targets distinct from known oncogenes.




We wished to use RNA interference to perform genetic screens for key regulators of cancer cell proliferation and survival. Because interfering RNAs that target such genes would be toxic, we constructed a retroviral vector for the inducible expression of shRNAs (Fig. 1a). In cells engineered to express the bacterial tetracycline repressor, this vector does not express shRNA until doxycycline is added, and can inducibly knock down the expression of endogenous target genes by 50–70% (Supplementary Fig. S1a). In this vector, we created a library of shRNAs targeting 2,500 human genes, with 3–6 shRNAs per gene. Each shRNA construct was tagged with a different 60-base-pair (bp) bar code to allow us to monitor the abundance of each shRNA vector in a cell population, as previously described [2, 3].

Figure 1: Inducible shRNA library screen for genes controlling cancer cell proliferation and survival.

Figure 1 : Inducible shRNA library screen for genes controlling cancer cell proliferation and survival.

a, Structure of the inducible shRNA-expressing retroviral vector after integration into genomic DNA of infected cells. Two tetracycline repressor (TETR) binding sites (Tet operators) were inserted into the histone H1 promoter, which drives shRNA expression. In cell lines expressing the TETR, shRNA from this vector is only expressed upon addition of doxycycline, which dissociates the TETR from the H1 promoter. A random 60-bp molecular bar-code oligonucleotide was cloned adjacent to each shRNA, and the association of a particular bar-code sequence with a particular shRNA was determined by sequencing each vector in the library. Also shown is a diagram of the shRNA structure, consisting of a 21-base sequence complementary to a targeted mRNA and a 9-base loop. LTR, long terminal repeat; puror, puromycin resistance gene; Pgk, phosphoglycerate kinase promoter; Denh., deletion of LTR promoter sequences.

b, Achilles' heel loss-of-function genetic screen for genes required for cancer cell proliferation or survival. (See text for details.)


The experimental strategy of the RNA interference genetic screen is shown in Fig. 1b. The retroviral library is introduced into a cancer cell line and puromycin is used to select stable integrants. The cell population is then divided in two, with one half receiving doxycycline to induce shRNA expression and the other half used as a control cell population. Any shRNA that knocks down the expression of a gene that is critical for proliferation or survival of the cancer cells will be selectively eliminated from the doxycycline-induced culture. At various time points, genomic DNA is harvested from the two populations and polymerase chain reaction (PCR) is used to amplify the bar-code sequences present in the genomic DNA. Amplified DNAs from the doxycycline-induced and control cultures are fluorescently labelled with different dyes and co-hybridized to a DNA microarray consisting of the bar-code oligonucleotides. The microarray is scanned to reveal the relative abundance of each bar code in the two populations and hence the relative depletion or enrichment of cells expressing a given shRNA.

To test the inducibility of our shRNA vector and the performance of the bar-code screen, we conducted a pilot experiment using the activated B-cell-like DLBCL cell line OCI-Ly3. A pool of 451 shRNA vectors targeting 158 genes was used to infect the lymphoma cells, with each retroviral infection repeated four times to enable statistical analysis. Bar-code representation was monitored in induced versus uninduced cultures after 20 days of shRNA induction and also, as a control, after only 2 days of induction. Figure 2a shows the subset of induced shRNA vectors that were depleted by at least twofold compared with uninduced cultures at day 20 (P < 0.01), including shRNAs that target genes regulating the cell cycle (CDK6, BUB1B), splicing (PRPF4B) and NF-kB signalling (IKBKB) (see below)—induced shRNA vectors did not show twofold depletion at day 2. These results demonstrate that the bar-code system can identify shRNA vectors that cause an inducible and time-dependent loss of cancer cells from a culture.

Figure 2: Identification of shRNAs that block the proliferation or survival of lymphoma cell lines.

Figure 2 : Identification of shRNAs that block the proliferation or survival of lymphoma cell lines.

Shown are the relative fluorescent signals from bar-code microarray experiments comparing shRNA induced versus uninduced cells. A higher value along the y axis indicates selective depletion of a shRNA from the induced cell population.

a, A pilot genetic screen with 459 shRNA vectors in the activated B-cell-like DLBCL cell line OCI-Ly3. Shown are shRNA vectors that were depleted >2-fold in infected cells at day 20, but not at day 2, after doxycycline induction (P values <0.01; paired t-test).

b, Genetic screens using 1,854 shRNA vectors targeting 683 genes performed in two activated B-cell-like (ABC) DLBCL cell lines (OCI-Ly3 and OCI-Ly10) and two germinal centre B-cell-like (GBC) DLBCL cell lines (OCI-Ly7 and OCI-Ly19). Relative bar-code abundance was measured at day 21 after shRNA induction. The shRNA vectors targeting IKBKB, CARD11 and MALT1 were depleted >2-fold in both induced activated B-cell-like DLBCL cell populations (P < 0.01; paired t-test), but not in the induced germinal centre B-cell-like DLBCL cells. A BCL10 shRNA vector was also preferentially depleted in induced activated B-cell-like DLBCL cell populations (P < 0.05). Data are the mean +/- s.d. of four independent retroviral transductions of the shRNA library.


Our primary aim was to identify shRNAs that exhibit 'synthetic lethality' in that they inhibit the proliferation and survival of only certain cancer subgroups due to molecular differences between the subgroups. To this end, our genetic screen interrogated growth and survival pathways in two molecular subgroups of DLBCLs—activated B-cell-like DLBCLs and germinal centre B-cell-like DLBCLs—that differ profoundly in gene expression, genomic abnormalities and clinical outcome [4, 5]. Most importantly, activated B-cell-like DLBCLs, but not germinal centre B-cell-like DLBCLs, rely on constitutive NF-kB signalling for survival [6, 7]. Genetic screens using a subset of the shRNA library (1,854 shRNA vectors targeting 683 genes) were performed in two activated B-cell-like DLBCL cell lines (OCI-Ly3 and OCI-Ly10) and in two germinal centre B-cell-like DLBCL cell lines (OCI-Ly7 and OCI-Ly19). Altogether, 17 shRNA vectors targeting 15 genes were significantly depleted (P < 0.01) from induced cultures of at least two cell lines (Supplementary Fig. S2).

Notably, all of the shRNAs that were selectively toxic for activated B-cell-like DLBCLs targeted genes that regulate the NF-kB pathway, including a shRNA targeting the central kinase in this pathway, IKBKB (Fig. 2b; see also Supplementary Fig. S2). Also included were two separate shRNAs for CARD11, which is required for NF-kB activation by antigen receptor signalling in B and T lymphocytes, as well as individual shRNAs targeting MALT1 and BCL10, two proteins that cooperate with CARD11 in NF-kB signalling [8]. The ability of these shRNAs to reduce expression of their respective messenger RNAs was confirmed by quantitative reverse transcription–PCR (Q-PCR) analysis (Supplementary Fig. S1b, c). To expand our repertoire of shRNAs for functional validation studies, we identified two additional CARD11 shRNAs and two additional MALT1 shRNAs that effectively decreased expression of their cognate mRNA and protein (Supplementary Fig. S1b, d).

To confirm and extend the results from the bar-code screen, we established a second toxicity assay in which we could follow the fate of cells acutely transduced with a single shRNA over time. To do this, we cloned CARD11 shRNA 1 into a modified vector that co-expresses green fluorescent protein (GFP). After retroviral transduction, we monitored the proportion of GFP+ cells versus GFP- cells over time as a measure of the toxicity of the co-expressed shRNA. Experiments were conducted in four activated B-cell-like DLBCL cell lines, four germinal centre B-cell-like DLBCL cell lines and three cell lines representing a third type of DLBCL termed primary mediastinal B-cell lymphoma (PMBL) [9, 10] (Supplementary Fig. S3). In all four activated B-cell-like DLBCL cell lines, the proportion of GFP+ cells decreased over time, indicating a toxic effect of the CARD11 shRNA, whereas no toxicity was observed in the germinal centre B-cell-like DLBCL and PMBL cell lines (Fig. 3a, b). Additional CARD11 and MALT1 shRNAs also demonstrated toxicity for OCI-Ly3 cells in this assay (Fig. 3c). Notably, the CARD11 shRNA showed no toxicity for PMBL cell lines despite the fact that this lymphoma type requires constitutive activity of the NF-kB pathway for survival [7]. The selective toxicity of CARD11 shRNAs for activated B-cell-like DLBCLs suggests that the molecular mechanisms causing constitutive activity of the NF-kB pathway differ between activated B-cell-like DLBCL and PMBL.

Figure 3: Toxicity of CARD11 and MALT1 shRNAs for activated B-cell-like DLBCL cell lines.

Figure 3 : Toxicity of CARD11 and MALT1 shRNAs for activated B-cell-like DLBCL cell lines.

Lymphoma cell lines were transduced with a retroviral vector that co-expresses a shRNA and GFP, and the fraction of GFP+ cells was measured at the indicated times by FACS. The toxicity of a shRNA was evident by a reduction in the GFP+ fraction over time as compared to the GFP+ fraction at day 2 after retroviral transduction (see Methods for details). Data are representative of at least two independent experiments.

a, Toxicity of CARD11 shRNA 1 for activated B-cell-like DLBCL but not germinal centre B-cell-like DLBCL cell lines.

b, Toxicity of CARD11 shRNA 1 for the activated B-cell-like DLBCL cell line OCI-Ly3 but not PMBL cell lines.

c, Toxicity of multiple CARD11 and MALT1 shRNAs for the activated B-cell-like DLBCL cell line OCI-Ly3.


To test whether these shRNAs inhibited the NF-kB pathway in activated B-cell-like DLBCLs, we used a cell-based reporter assay for IkB kinase (IKK) activity based on a fusion protein between IkBa and Photinus luciferase[7]. When IKK is inhibited, this reporter is not phosphorylated and is consequently not degraded in the proteasome, resulting in a rise in luciferase activity [7]. In activated B-cell-like DLBCL cells, retroviral expression of various shRNAs for IKBKB, CARD11, MALT1 and BCL10 produced a rise in the IkBa luciferase reporter, but shRNAs targeting these genes did not affect this reporter in germinal centre B-cell-like DLBCL cells (Fig. 4a). Control shRNAs targeting POU2F2, YY1, WNK1 or GFP did not affect this reporter and, as expected, a shRNA vector targeting Photinus luciferase decreased the reporter signal (Fig. 4a).

Figure 4: Role of CARD11, MALT1 and BCL10 in NF-kB signalling in activated B-cell-like DLBCL.

Fig. 4 : Role of CARD11, MALT1 and BCL10 in NF-kB signalling in activated B-cell-like DLBCL.

a, IKK activity in activated B-cell-like DLBCL depends on CARD11, MALT1 and BCL10. IKK reporter cell lines bearing an IkBa luciferase reporter were transduced with retroviral vectors for the indicated shRNAs. Luciferase activity was measured at the indicated time points and the activity in shRNA induced cells is shown as a percentage of the activity in uninduced cells (see Methods). Data are representative of at least two independent experiments.

b, CARD11 signalling activates NF-kB target gene expression in activated B-cell-like DLBCL cells. Expression of CARD11 shRNA 1 was induced in OCI-Ly3 cells for the indicated times and total RNA was harvested from induced cultures and from parallel uninduced cultures. DNA microarrays were used to determine relative gene expression in induced and uninduced cells. Downregulation of NF-kB target genes in two independent experiments is indicated in green according to the colour scale shown.

c, IL-6 secretion is downstream of CARD11 signalling in activated B-cell-like DLBCL. CARD11 shRNA 1 was induced in OCI-Ly3 cells for the indicated times. The concentration of IL-6 was measured in the supernatant of induced cells and in parallel uninduced cells.


We next used DNA microarrays to investigate whether the target genes of the NF-kB pathway were downregulated in response to the CARD11 shRNA. OCI-Ly3 cells were transduced with the inducible CARD11 shRNA vector, and gene expression was compared between doxycycline-induced cultures and parallel, uninduced cultures. A previously defined set of NF-kB target genes in activated B-cell-like DLBCLs7 displayed down-modulated expression upon CARD11 shRNA induction (Fig. 4b). The secretion of IL-6, one of the targets of NF-kB, was also decreased when CARD11 shRNA was expressed (Fig. 4c). Thus, inhibition of CARD11 in activated B-cell-like DLBCL cells inhibits IKK and decreases expression of NF-kB target genes.

The present study has uncovered a previously unsuspected role for CARD11 signalling in the pathogenesis of DLBCL. CARD11 signalling in activated B-cell-like DLBCL seems to engage MALT1 and BCL10 to activate IKK, in keeping with previous studies [8]. However, because CARD11 shRNAs were consistently more toxic than MALT1 shRNAs, it is possible that CARD11 also signals to other pathways in activated B-cell-like DLBCL that do not require MALT1 (ref. 11). At present, the molecular mechanisms accounting for the constitutive CARD11 signalling in activated B-cell-like DLBCL are unknown. One possibility is that activated B-cell-like DLBCLs harbour oncogenic lesions that alter the expression and/or function of CARD11, BCL10 or MALT1. In gastric mucosa associated lymphoid tissue lymphoma, MALT1 and BCL10 have been implicated in recurrent chromosomal translocations [12]. The most frequent of these translocations—t(11;18), involving MALT1—is not present in activated B-cell-like DLBCL cell lines or primary tumours (data not shown). Moreover, activated B-cell-like DLBCLs do not have higher levels of MALT1 or BCL10 expression than germinal centre B-cell-like DLBCLs, arguing against the existence of translocations that upregulate the expression of these genes in activated B-cell-like DBLCL.

Alternatively, CARD11-dependent IKK activation in activated B-cell-like DLBCL may be a physiological attribute of the type of B-cell subpopulation from which activated B-cell-like DLBCL is derived. Mice with mutations or deletions in CARD11, MALT1 or BCL10 are severely deficient in two B-cell subpopulations—the marginal zone B cell and the mature B1 B cell—but have little or no deficiency in mature follicular B2 cells [11, 13-20]. Although the cell of origin of activated B-cell-like DLBCLs has not been clearly defined, it could conceivably derive from a B-cell subset that depends critically on CARD11/BCL10/MALT1 for survival and/or self renewal. Furthermore, primary tumour biopsies of activated B-cell-like DLBCLs show consistently higher expression of CARD11 mRNA than germinal centre B-cell-like DLBCL biopsies (~2-fold; P < 10-11) and PMBL biopsies (~5-fold; P < 10-18) (Supplementary Fig. S4), which might contribute to the CARD11 dependence of activated B-cell-like DLBCL, as experimental overexpression of CARD11 can activate IKK in a BCL10-dependent manner [21-23].

CARD11 and associated molecules are attractive therapeutic targets for activated B-cell-like DLBCL. Inhibition of CARD11 signalling would, in theory, have consequences only in the lymphoid system, as CARD11 expression is restricted to the lymphoid system and CARD11 mutant mice only have lymphoid abnormalities [8]. In normal lymphocytes, MALT1 can activate IKK by ubiquitinating the IKK-g subunit; it can also induce TRAF6 to function as an IKK-gubiquitin ligase [24, 25]. New therapeutics targeting these enzymatic reactions could prove useful in the therapy of DLBCLs that depend on the CARD11 pathway for survival.

Previous RNA interference screens in cancer have been 'positive' screens that rely on the ability of an interfering RNA to rescue a cell from some cytotoxic or cytostatic influence [3, 26, 27]. Such screens are ideal for uncovering tumour suppressor genes, but are not readily adapted for the identification of oncogenes that promote the malignant phenotype. By contrast, the inducible nature of our shRNA vector allowed us to perform a 'negative' screen in which interfering RNAs produce a cytotoxic or cytostatic phenotype, thereby uncovering oncogenic pathways that promote malignancy.

The 'Achilles' heel' methodology outlined in the present report can be extended to create a functional taxonomy of cancer that should be particularly relevant for the development of new therapeutic agents. In this scenario, cancers would be classified on the basis of which regulatory proteins/pathways promote proliferation or prevent cell death. This functional classification of cancer would be expected, in some cases, to cut across diagnostic categories provided by pathological examination or gene expression profiling. The functionally critical pathways identified in such genetic screens could also guide a focused resequencing effort in cancer genomes to search for mutated genes that lie within these pathways.

An equally exciting possibility is that Achilles' heel screens will uncover regulatory pathways that are not directly activated by underlying oncogenic events but that are nevertheless required for cancer cell proliferation or survival. Cancers may arise from a stage of normal cellular differentiation in which a particular signalling pathway is used to prevent cell death or promote proliferation, and the derived cancer cell may retain a dependence upon that pathway. Given the diversity of physiological regulators of apoptosis and proliferation, many of which are cell-type specific, future Achilles' heel screens are likely to extend the realm of molecular targets in cancer.

Methods:

See Supplementary Methods for detailed experimental methods.

Construction of an inducible shRNA retroviral expression library

The inducible shRNA expression plasmid pRSMX was derived from pRetroSuper [28] by modifying the H1 promoter with binding sites for the bacterial tetracycline repressor, as described [29]. A library of random 60-mer bar-code sequences was generated in pRSMX by cloning into MfeI/XhoI sites immediately 3' of the shRNA cloning site. Cloned shRNA and bar-code sequences were verified by sequencing. shRNA oligonucleotides (Invitrogen) were chosen to have 21-bp complementarity with the target gene, following previously described design rules [30], and had <15-bp identity to any other RefSeq annotated mRNA sequence.

Preparation of doxycycline-inducible cell lines

Each cell line used in the bar-code screen was first transduced with a feline endogenous virus expressing the ecotropic retroviral receptor and then secondarily infected with an ecotropic retrovirus expressing the bacterial tetracycline repressor (TETR).

Bar-code shRNA screen

All of the shRNA expression constructs from a single 96-well plate were pooled into a single plasmid prep and, typically, five such plasmid pools were combined and used to generate a high-titre ecotropic retroviral stock. After infection of TETR-expressing lymphoma cells and puromycin selection, doxycycline (20 ng ml-1) was added to induce shRNA expression in half of the culture. Bar-code sequences were amplified from genomic DNA and hybridized to bar-code microarrays essentially as described [3]. The sequences of the effective shRNAs are provided in Supplementary Table 1.

Survival assay

A variant of pRSMX was created in which the puromycin resistance (puror) gene was replaced with a fusion gene between puror and GFP. shRNA-expressing retroviruses prepared from this vector were used to infect lymphoma cell lines (lacking the TETR), and the fraction of cells that were GFP+ was measured over time by FACS. For each time point and shRNA, the observed GFP+ fractions were normalized to the GFP+ fraction in parallel cultures transduced with a control shRNA, and compared to the initial GFP+ fraction 2 days after retroviral transduction.

Acknowledgments

This research was supported by the Intramural Research Program of the NIH, National Cancer Institute, Center for Cancer Research. V.N.N. was also supported by a Damon Runyon-Walter Winchell Cancer Research Foundation Fellowship.

Competing interests statement:
The authors declared no competing interests.


Supplementary information accompanies this paper.
http://www.nature.com/nature/journal/vaop/ncurrent/suppinfo/nature04687.html




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NetworkEditor's Perspective: "Deficiencies of  RNA species within human neoplasms".

In this novel approach to the study of human diffuse large B cell lymphomas (DLBCL), Vu N. Ngo, Eric Davis, Laurence Lamy, Xin Yu, Hong Zhao, Georg Lenz, Lloyd Lam, Sandeep Dave, Liming Yang, John Powell, and Louis Staudt have applied a large library of small hairpin RNAs to study the molecular vulnerabilities of 3 distinct types of DLBCL. One type, the activated type, was found to display a marked need for the NF-kB pathway, as revealed by the observed activity of specific shRNAs. The other two types of DLBCL were much less vulnerable. These types of experiments hope to identify neoplasms with the Achilles' heel of vulnerability for further drug development with RNAs.




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14. Eder M, and Scherr M, "MicroRNA and Lung Cancer".

15. Johnson SM, Grosshans H, Shingara J, Byrom M, Jarvis R, Cheng A, Labourier E, Reinert KL, Brown D, and Slack FJ, "RAS Is Regulated by the let-7 MicroRNA Family".

16. Janz M, Hummel M, Truss M, Wollert-Wulf B, Mathas S, Johrens K, Hagemeier C, Bommert K, Stein H, Dorken B, and Bargou RC, "Classical Hodgkin lymphoma is characterized by high constitutive expression of activating transcription factor 3 (ATF3) which promotes viability of Hodgkin/Reed-Sternberg cells".

17. Hovsepian JA, and Frenster JH, "Sense and Antisense during RNA Initiation of the DNA Transcription Bubble".
 



RNA and Biological Causality:

A Brief History of Activator RNA.



Further Topics in:  Euchromatin,  active DNA, and  RNA  ribo-regulators:

Links to Euchromatin Activator RNA Reviews:
Links to Euchromatin Activator RNA Research:
Links to Ultrastructural Probes of DNase I-Sensitive Sites:
Links to RNA as a Therapeutic Agent:
Links to Hodgkin Lymphoma Immuno-Pathology:
Links to Activated T-Lymphocyte Immunotherapy:
Links to Medical Systems Biology:
Links to Selective Gene Transcription:
Links to RNA-Induced Epigenetics:
Links to RNA-Induced Embryogenesis:
Links to RNA and Biological Causality:
Links to Reprogramming and Neoplasia:

"Ultrastructural Probes of Active DNA Sites, and the RNA Activators of DNA".



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euchromatin: "the most active portion of the genome within the cell nucleus".